[2026-03-05T23:03:51.581Z] Running test renaissance-movie-lens_0 ... [2026-03-05T23:03:51.581Z] =============================================== [2026-03-05T23:03:51.581Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 23:03:51 2026 Epoch Time (ms): 1772751831381 [2026-03-05T23:03:51.581Z] variation: NoOptions [2026-03-05T23:03:51.581Z] JVM_OPTIONS: [2026-03-05T23:03:51.581Z] { \ [2026-03-05T23:03:51.581Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T23:03:51.581Z] echo "Nothing to be done for setup."; \ [2026-03-05T23:03:51.581Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727510161148/renaissance-movie-lens_0"; \ [2026-03-05T23:03:51.581Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727510161148/renaissance-movie-lens_0"; \ [2026-03-05T23:03:51.581Z] echo ""; echo "TESTING:"; \ [2026-03-05T23:03:51.581Z] "/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_17727510161148/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T23:03:51.581Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727510161148/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T23:03:51.581Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T23:03:51.581Z] echo "Nothing to be done for teardown."; \ [2026-03-05T23:03:51.581Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727510161148/TestTargetResult"; [2026-03-05T23:03:51.581Z] [2026-03-05T23:03:51.581Z] TEST SETUP: [2026-03-05T23:03:51.581Z] Nothing to be done for setup. [2026-03-05T23:03:51.581Z] [2026-03-05T23:03:51.581Z] TESTING: [2026-03-05T23:03:52.535Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T23:03:52.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17727510161148/renaissance-movie-lens_0/launcher-230351-2672794729655087679/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T23:03:52.535Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T23:03:52.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T23:03:57.917Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T23:04:03.293Z] 23:04:03.162 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T23:04:05.255Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T23:04:06.209Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T23:04:06.209Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T23:04:06.209Z] GC before operation: completed in 139.883 ms, heap usage 307.324 MB -> 75.671 MB. [2026-03-05T23:04:11.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:04:14.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:04:17.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:04:19.604Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:04:21.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:04:23.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:04:24.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:04:26.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:04:27.374Z] 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. [2026-03-05T23:04:27.374Z] The best model improves the baseline by 14.52%. [2026-03-05T23:04:27.374Z] Top recommended movies for user id 72: [2026-03-05T23:04:27.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:04:27.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:04:27.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:04:27.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:04:27.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:04:27.374Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21033.735 ms) ====== [2026-03-05T23:04:27.374Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T23:04:27.374Z] GC before operation: completed in 126.987 ms, heap usage 151.492 MB -> 89.649 MB. [2026-03-05T23:04:30.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:04:32.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:04:35.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:04:37.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:04:39.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:04:40.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:04:42.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:04:44.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:04:44.237Z] 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. [2026-03-05T23:04:44.237Z] The best model improves the baseline by 14.52%. [2026-03-05T23:04:44.237Z] Top recommended movies for user id 72: [2026-03-05T23:04:44.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:04:44.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:04:44.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:04:44.237Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:04:44.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:04:44.237Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17176.790 ms) ====== [2026-03-05T23:04:44.237Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T23:04:44.237Z] GC before operation: completed in 126.030 ms, heap usage 293.014 MB -> 88.577 MB. [2026-03-05T23:04:47.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:04:49.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:04:52.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:04:54.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:04:56.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:04:57.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:04:59.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:05:01.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:05:01.060Z] 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. [2026-03-05T23:05:01.060Z] The best model improves the baseline by 14.52%. [2026-03-05T23:05:01.060Z] Top recommended movies for user id 72: [2026-03-05T23:05:01.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:05:01.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:05:01.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:05:01.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:05:01.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:05:01.060Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16355.053 ms) ====== [2026-03-05T23:05:01.060Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T23:05:01.060Z] GC before operation: completed in 134.025 ms, heap usage 380.285 MB -> 89.385 MB. [2026-03-05T23:05:04.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:05:06.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:05:08.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:05:10.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:05:11.971Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:05:12.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:05:14.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:05:15.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:05:15.829Z] 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. [2026-03-05T23:05:15.829Z] The best model improves the baseline by 14.52%. [2026-03-05T23:05:16.782Z] Top recommended movies for user id 72: [2026-03-05T23:05:16.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:05:16.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:05:16.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:05:16.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:05:16.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:05:16.782Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15246.017 ms) ====== [2026-03-05T23:05:16.782Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T23:05:16.782Z] GC before operation: completed in 144.927 ms, heap usage 756.626 MB -> 93.289 MB. [2026-03-05T23:05:20.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:05:21.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:05:23.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:05:25.736Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:05:26.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:05:28.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:05:29.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:05:31.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:05:31.562Z] 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. [2026-03-05T23:05:31.562Z] The best model improves the baseline by 14.52%. [2026-03-05T23:05:31.562Z] Top recommended movies for user id 72: [2026-03-05T23:05:31.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:05:31.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:05:31.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:05:31.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:05:31.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:05:31.562Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15440.652 ms) ====== [2026-03-05T23:05:31.562Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T23:05:32.519Z] GC before operation: completed in 137.072 ms, heap usage 166.674 MB -> 89.227 MB. [2026-03-05T23:05:34.477Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:05:36.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:05:38.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:05:41.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:05:42.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:05:44.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:05:45.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:05:47.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:05:47.411Z] 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. [2026-03-05T23:05:47.411Z] The best model improves the baseline by 14.52%. [2026-03-05T23:05:47.411Z] Top recommended movies for user id 72: [2026-03-05T23:05:47.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:05:47.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:05:47.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:05:47.411Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:05:47.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:05:47.411Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15464.444 ms) ====== [2026-03-05T23:05:47.411Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T23:05:47.411Z] GC before operation: completed in 152.616 ms, heap usage 291.659 MB -> 89.838 MB. [2026-03-05T23:05:50.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:05:52.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:05:54.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:05:57.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:05:58.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:05:59.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:06:01.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:06:02.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:06:02.205Z] 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. [2026-03-05T23:06:02.205Z] The best model improves the baseline by 14.52%. [2026-03-05T23:06:03.156Z] Top recommended movies for user id 72: [2026-03-05T23:06:03.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:06:03.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:06:03.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:06:03.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:06:03.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:06:03.156Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15084.977 ms) ====== [2026-03-05T23:06:03.156Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T23:06:03.156Z] GC before operation: completed in 143.413 ms, heap usage 410.175 MB -> 89.870 MB. [2026-03-05T23:06:05.113Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:06:07.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:06:10.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:06:12.076Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:06:13.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:06:13.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:06:15.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:06:16.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:06:16.900Z] 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. [2026-03-05T23:06:16.900Z] The best model improves the baseline by 14.52%. [2026-03-05T23:06:16.900Z] Top recommended movies for user id 72: [2026-03-05T23:06:16.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:06:16.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:06:16.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:06:16.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:06:16.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:06:16.900Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14396.322 ms) ====== [2026-03-05T23:06:16.900Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T23:06:17.852Z] GC before operation: completed in 139.030 ms, heap usage 166.968 MB -> 89.831 MB. [2026-03-05T23:06:19.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:06:21.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:06:24.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:06:26.748Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:06:27.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:06:29.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:06:30.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:06:31.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:06:32.516Z] 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. [2026-03-05T23:06:32.516Z] The best model improves the baseline by 14.52%. [2026-03-05T23:06:32.516Z] Top recommended movies for user id 72: [2026-03-05T23:06:32.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:06:32.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:06:32.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:06:32.516Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:06:32.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:06:32.516Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14819.300 ms) ====== [2026-03-05T23:06:32.516Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T23:06:32.516Z] GC before operation: completed in 166.379 ms, heap usage 388.555 MB -> 89.995 MB. [2026-03-05T23:06:34.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:06:36.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:06:38.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:06:40.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:06:42.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:06:43.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:06:44.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:06:47.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:06:47.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T23:06:47.435Z] The best model improves the baseline by 14.52%. [2026-03-05T23:06:47.435Z] Top recommended movies for user id 72: [2026-03-05T23:06:47.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:06:47.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:06:47.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:06:47.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:06:47.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:06:47.435Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14023.834 ms) ====== [2026-03-05T23:06:47.435Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T23:06:47.435Z] GC before operation: completed in 186.027 ms, heap usage 293.635 MB -> 90.100 MB. [2026-03-05T23:06:48.560Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:06:51.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:06:53.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:06:55.503Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:06:57.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:06:58.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:07:02.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:07:03.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:07:03.041Z] 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. [2026-03-05T23:07:03.041Z] The best model improves the baseline by 14.52%. [2026-03-05T23:07:03.041Z] Top recommended movies for user id 72: [2026-03-05T23:07:03.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:07:03.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:07:03.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:07:03.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:07:03.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:07:03.041Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15007.206 ms) ====== [2026-03-05T23:07:03.041Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T23:07:03.041Z] GC before operation: completed in 122.149 ms, heap usage 429.621 MB -> 89.926 MB. [2026-03-05T23:07:03.994Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:07:05.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:07:08.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:07:10.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:07:11.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:07:13.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:07:14.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:07:16.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:07:16.768Z] 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. [2026-03-05T23:07:16.768Z] The best model improves the baseline by 14.52%. [2026-03-05T23:07:16.768Z] Top recommended movies for user id 72: [2026-03-05T23:07:16.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:07:16.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:07:16.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:07:16.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:07:16.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:07:16.768Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14866.620 ms) ====== [2026-03-05T23:07:16.768Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T23:07:16.768Z] GC before operation: completed in 130.662 ms, heap usage 380.072 MB -> 90.150 MB. [2026-03-05T23:07:18.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:07:20.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:07:22.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:07:24.597Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:07:26.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:07:27.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:07:29.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:07:30.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:07:30.427Z] 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. [2026-03-05T23:07:30.427Z] The best model improves the baseline by 14.52%. [2026-03-05T23:07:30.427Z] Top recommended movies for user id 72: [2026-03-05T23:07:30.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:07:30.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:07:30.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:07:30.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:07:30.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:07:30.427Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13812.688 ms) ====== [2026-03-05T23:07:30.427Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T23:07:30.427Z] GC before operation: completed in 128.631 ms, heap usage 367.157 MB -> 90.337 MB. [2026-03-05T23:07:32.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:07:35.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:07:37.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:07:39.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:07:40.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:07:42.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:07:43.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:07:45.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:07:45.179Z] 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. [2026-03-05T23:07:45.179Z] The best model improves the baseline by 14.52%. [2026-03-05T23:07:45.179Z] Top recommended movies for user id 72: [2026-03-05T23:07:45.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:07:45.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:07:45.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:07:45.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:07:45.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:07:45.179Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14617.736 ms) ====== [2026-03-05T23:07:45.179Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T23:07:45.179Z] GC before operation: completed in 139.784 ms, heap usage 370.052 MB -> 90.055 MB. [2026-03-05T23:07:47.336Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:07:50.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:07:52.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:07:54.378Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:07:55.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:07:57.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:07:58.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:08:00.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:08:00.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T23:08:00.190Z] The best model improves the baseline by 14.52%. [2026-03-05T23:08:00.190Z] Top recommended movies for user id 72: [2026-03-05T23:08:00.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:08:00.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:08:00.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:08:00.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:08:00.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:08:00.190Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15044.005 ms) ====== [2026-03-05T23:08:00.190Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T23:08:01.141Z] GC before operation: completed in 141.860 ms, heap usage 147.196 MB -> 89.990 MB. [2026-03-05T23:08:03.097Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:08:05.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:08:07.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:08:10.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:08:10.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:08:11.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:08:13.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:08:14.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:08:14.891Z] 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. [2026-03-05T23:08:15.846Z] The best model improves the baseline by 14.52%. [2026-03-05T23:08:15.846Z] Top recommended movies for user id 72: [2026-03-05T23:08:15.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:08:15.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:08:15.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:08:15.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:08:15.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:08:15.846Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14814.703 ms) ====== [2026-03-05T23:08:15.846Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T23:08:15.846Z] GC before operation: completed in 116.872 ms, heap usage 400.841 MB -> 90.155 MB. [2026-03-05T23:08:18.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:08:19.886Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:08:21.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:08:23.920Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:08:24.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:08:26.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:08:27.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:08:29.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:08:29.747Z] 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. [2026-03-05T23:08:29.747Z] The best model improves the baseline by 14.52%. [2026-03-05T23:08:29.747Z] Top recommended movies for user id 72: [2026-03-05T23:08:29.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:08:29.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:08:29.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:08:29.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:08:29.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:08:29.747Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14328.190 ms) ====== [2026-03-05T23:08:29.747Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T23:08:29.747Z] GC before operation: completed in 122.184 ms, heap usage 371.890 MB -> 90.286 MB. [2026-03-05T23:08:32.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:08:34.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:08:36.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:08:38.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:08:39.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:08:40.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:08:42.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:08:43.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:08:43.677Z] 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. [2026-03-05T23:08:43.677Z] The best model improves the baseline by 14.52%. [2026-03-05T23:08:43.677Z] Top recommended movies for user id 72: [2026-03-05T23:08:43.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:08:43.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:08:43.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:08:43.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:08:43.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:08:43.677Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14036.776 ms) ====== [2026-03-05T23:08:43.677Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T23:08:44.631Z] GC before operation: completed in 127.777 ms, heap usage 218.035 MB -> 89.821 MB. [2026-03-05T23:08:46.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:08:48.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:08:50.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:08:53.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:08:54.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:08:55.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:08:57.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:08:58.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:08:59.491Z] 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. [2026-03-05T23:08:59.491Z] The best model improves the baseline by 14.52%. [2026-03-05T23:08:59.491Z] Top recommended movies for user id 72: [2026-03-05T23:08:59.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:08:59.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:08:59.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:08:59.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:08:59.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:08:59.491Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14941.481 ms) ====== [2026-03-05T23:08:59.491Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T23:08:59.491Z] GC before operation: completed in 122.363 ms, heap usage 132.200 MB -> 89.929 MB. [2026-03-05T23:09:01.452Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:09:03.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:09:05.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:09:07.341Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:09:08.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:09:09.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:09:11.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:09:12.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:09:12.353Z] 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. [2026-03-05T23:09:12.353Z] The best model improves the baseline by 14.52%. [2026-03-05T23:09:12.353Z] Top recommended movies for user id 72: [2026-03-05T23:09:12.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:09:12.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:09:12.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:09:12.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:09:12.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:09:12.353Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13417.089 ms) ====== [2026-03-05T23:09:13.308Z] ----------------------------------- [2026-03-05T23:09:13.308Z] renaissance-movie-lens_0_PASSED [2026-03-05T23:09:13.308Z] ----------------------------------- [2026-03-05T23:09:13.308Z] [2026-03-05T23:09:13.308Z] TEST TEARDOWN: [2026-03-05T23:09:13.308Z] Nothing to be done for teardown. [2026-03-05T23:09:13.308Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 23:09:12 2026 Epoch Time (ms): 1772752152712