[2026-03-08T14:22:59.572Z] Running test renaissance-movie-lens_0 ... [2026-03-08T14:22:59.572Z] =============================================== [2026-03-08T14:22:59.572Z] renaissance-movie-lens_0 Start Time: Sun Mar 8 14:22:59 2026 Epoch Time (ms): 1772979779435 [2026-03-08T14:22:59.572Z] variation: NoOptions [2026-03-08T14:22:59.572Z] JVM_OPTIONS: [2026-03-08T14:22:59.572Z] { \ [2026-03-08T14:22:59.572Z] echo ""; echo "TEST SETUP:"; \ [2026-03-08T14:22:59.572Z] echo "Nothing to be done for setup."; \ [2026-03-08T14:22:59.572Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17729770561410/renaissance-movie-lens_0"; \ [2026-03-08T14:22:59.572Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17729770561410/renaissance-movie-lens_0"; \ [2026-03-08T14:22:59.572Z] echo ""; echo "TESTING:"; \ [2026-03-08T14:22:59.573Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17729770561410/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-08T14:22:59.573Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17729770561410/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-08T14:22:59.573Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-08T14:22:59.573Z] echo "Nothing to be done for teardown."; \ [2026-03-08T14:22:59.573Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17729770561410/TestTargetResult"; [2026-03-08T14:22:59.573Z] [2026-03-08T14:22:59.573Z] TEST SETUP: [2026-03-08T14:22:59.573Z] Nothing to be done for setup. [2026-03-08T14:22:59.573Z] [2026-03-08T14:22:59.573Z] TESTING: [2026-03-08T14:23:01.916Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-08T14:23:01.916Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17729770561410/renaissance-movie-lens_0/launcher-142300-6092046659981478671/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-08T14:23:01.916Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-08T14:23:01.916Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-08T14:23:25.345Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-08T14:23:53.399Z] 14:23:53.116 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-08T14:24:02.535Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-08T14:24:04.964Z] Training: 60056, validation: 20285, test: 19854 [2026-03-08T14:24:04.964Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-08T14:24:05.718Z] GC before operation: completed in 586.930 ms, heap usage 375.484 MB -> 76.112 MB. [2026-03-08T14:24:33.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:24:44.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:24:58.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:25:09.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:25:15.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:25:21.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:25:27.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:25:33.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:25:34.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-08T14:25:34.901Z] The best model improves the baseline by 14.52%. [2026-03-08T14:25:36.105Z] Top recommended movies for user id 72: [2026-03-08T14:25:36.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:25:36.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:25:36.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:25:36.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:25:36.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:25:36.106Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90304.537 ms) ====== [2026-03-08T14:25:36.106Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-08T14:25:36.869Z] GC before operation: completed in 1071.773 ms, heap usage 234.679 MB -> 90.231 MB. [2026-03-08T14:25:47.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:25:57.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:26:06.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:26:15.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:26:21.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:26:26.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:26:32.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:26:38.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:26:39.318Z] 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. [2026-03-08T14:26:39.318Z] The best model improves the baseline by 14.52%. [2026-03-08T14:26:40.068Z] Top recommended movies for user id 72: [2026-03-08T14:26:40.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:26:40.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:26:40.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:26:40.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:26:40.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:26:40.068Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (62955.435 ms) ====== [2026-03-08T14:26:40.068Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-08T14:26:40.837Z] GC before operation: completed in 958.754 ms, heap usage 306.777 MB -> 88.844 MB. [2026-03-08T14:26:49.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:26:59.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:27:07.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:27:16.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:27:22.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:27:27.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:27:32.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:27:50.368Z] test-rise-ubuntu2404-riscv64-3 seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2026-03-08T14:27:52.802Z] test-rise-ubuntu2404-riscv64-3 is back online [2026-03-08T14:28:00.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:28:00.630Z] 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. [2026-03-08T14:28:00.630Z] The best model improves the baseline by 14.52%. [2026-03-08T14:28:00.630Z] Top recommended movies for user id 72: [2026-03-08T14:28:00.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:28:00.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:28:00.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:28:00.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:28:00.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:28:00.630Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57127.186 ms) ====== [2026-03-08T14:28:00.630Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-08T14:28:00.630Z] GC before operation: completed in 953.051 ms, heap usage 558.314 MB -> 93.019 MB. [2026-03-08T14:28:00.630Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:28:06.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:28:06.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:28:11.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:28:17.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:28:22.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:28:27.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:28:34.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:28:34.570Z] 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. [2026-03-08T14:28:34.570Z] The best model improves the baseline by 14.52%. [2026-03-08T14:28:34.570Z] Top recommended movies for user id 72: [2026-03-08T14:28:34.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:28:34.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:28:34.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:28:34.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:28:34.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:28:34.570Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54629.996 ms) ====== [2026-03-08T14:28:34.570Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-08T14:28:34.570Z] GC before operation: completed in 919.660 ms, heap usage 559.617 MB -> 93.360 MB. [2026-03-08T14:28:47.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:29:00.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:29:09.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:29:09.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:29:12.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:29:17.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:29:22.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:29:27.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:29:27.893Z] 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. [2026-03-08T14:29:28.236Z] The best model improves the baseline by 14.52%. [2026-03-08T14:29:28.581Z] Top recommended movies for user id 72: [2026-03-08T14:29:28.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:29:28.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:29:28.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:29:28.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:29:28.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:29:28.581Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54218.007 ms) ====== [2026-03-08T14:29:28.581Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-08T14:29:29.798Z] GC before operation: completed in 930.992 ms, heap usage 643.865 MB -> 93.375 MB. [2026-03-08T14:29:38.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:29:46.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:29:55.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:30:01.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:30:06.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:30:11.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:30:16.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:30:21.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:30:22.206Z] 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. [2026-03-08T14:30:22.206Z] The best model improves the baseline by 14.52%. [2026-03-08T14:30:22.553Z] Top recommended movies for user id 72: [2026-03-08T14:30:22.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:30:22.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:30:22.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:30:22.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:30:22.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:30:22.553Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53029.975 ms) ====== [2026-03-08T14:30:22.553Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-08T14:30:23.346Z] GC before operation: completed in 702.867 ms, heap usage 463.146 MB -> 90.284 MB. [2026-03-08T14:30:32.541Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:30:38.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:30:46.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:30:53.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:30:58.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:31:02.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:31:07.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:31:12.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:31:12.632Z] 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. [2026-03-08T14:31:12.632Z] The best model improves the baseline by 14.52%. [2026-03-08T14:31:13.373Z] Top recommended movies for user id 72: [2026-03-08T14:31:13.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:31:13.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:31:13.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:31:13.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:31:13.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:31:13.373Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (49921.562 ms) ====== [2026-03-08T14:31:13.373Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-08T14:31:14.134Z] GC before operation: completed in 713.722 ms, heap usage 277.857 MB -> 90.005 MB. [2026-03-08T14:31:23.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:31:29.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:31:37.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:31:44.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:31:49.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:31:53.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:31:58.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:32:03.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:32:04.288Z] 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. [2026-03-08T14:32:04.288Z] The best model improves the baseline by 14.52%. [2026-03-08T14:32:04.711Z] Top recommended movies for user id 72: [2026-03-08T14:32:04.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:32:04.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:32:04.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:32:04.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:32:04.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:32:04.711Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50805.560 ms) ====== [2026-03-08T14:32:04.711Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-08T14:32:05.489Z] GC before operation: completed in 696.002 ms, heap usage 436.001 MB -> 90.329 MB. [2026-03-08T14:32:14.579Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:32:22.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:32:31.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:32:38.533Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:32:43.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:32:48.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:32:53.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:32:57.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:32:58.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-08T14:32:58.022Z] The best model improves the baseline by 14.52%. [2026-03-08T14:32:59.240Z] Top recommended movies for user id 72: [2026-03-08T14:32:59.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:32:59.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:32:59.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:32:59.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:32:59.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:32:59.240Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53528.152 ms) ====== [2026-03-08T14:32:59.240Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-08T14:32:59.587Z] GC before operation: completed in 655.654 ms, heap usage 246.769 MB -> 89.971 MB. [2026-03-08T14:33:08.704Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:33:16.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:33:25.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:33:31.597Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:33:36.506Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:33:41.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:33:46.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:33:51.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:33:51.968Z] 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. [2026-03-08T14:33:51.968Z] The best model improves the baseline by 14.52%. [2026-03-08T14:33:52.709Z] Top recommended movies for user id 72: [2026-03-08T14:33:52.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:33:52.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:33:52.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:33:52.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:33:52.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:33:52.709Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53067.107 ms) ====== [2026-03-08T14:33:52.709Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-08T14:33:53.506Z] GC before operation: completed in 651.467 ms, heap usage 211.618 MB -> 90.221 MB. [2026-03-08T14:34:02.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:34:08.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:34:16.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:34:23.630Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:34:27.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:34:32.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:34:37.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:34:42.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:34:42.690Z] 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. [2026-03-08T14:34:42.690Z] The best model improves the baseline by 14.52%. [2026-03-08T14:34:43.434Z] Top recommended movies for user id 72: [2026-03-08T14:34:43.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:34:43.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:34:43.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:34:43.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:34:43.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:34:43.434Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49972.684 ms) ====== [2026-03-08T14:34:43.434Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-08T14:34:44.176Z] GC before operation: completed in 708.418 ms, heap usage 906.177 MB -> 94.409 MB. [2026-03-08T14:34:53.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:34:59.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:35:06.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:35:14.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:35:18.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:35:23.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:35:27.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:35:32.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:35:32.258Z] 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. [2026-03-08T14:35:32.605Z] The best model improves the baseline by 14.52%. [2026-03-08T14:35:33.361Z] Top recommended movies for user id 72: [2026-03-08T14:35:33.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:35:33.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:35:33.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:35:33.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:35:33.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:35:33.361Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49019.050 ms) ====== [2026-03-08T14:35:33.361Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-08T14:35:33.718Z] GC before operation: completed in 677.408 ms, heap usage 280.577 MB -> 90.238 MB. [2026-03-08T14:35:42.801Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:35:48.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:35:56.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:36:02.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:36:07.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:36:13.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:36:18.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:36:24.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:36:24.461Z] 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. [2026-03-08T14:36:24.461Z] The best model improves the baseline by 14.52%. [2026-03-08T14:36:25.209Z] Top recommended movies for user id 72: [2026-03-08T14:36:25.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:36:25.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:36:25.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:36:25.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:36:25.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:36:25.209Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51139.033 ms) ====== [2026-03-08T14:36:25.209Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-08T14:36:25.567Z] GC before operation: completed in 650.048 ms, heap usage 407.062 MB -> 90.455 MB. [2026-03-08T14:36:34.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:36:42.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:36:51.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:36:57.344Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:37:02.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:37:07.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:37:12.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:37:16.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:37:18.148Z] 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. [2026-03-08T14:37:18.148Z] The best model improves the baseline by 14.52%. [2026-03-08T14:37:18.496Z] Top recommended movies for user id 72: [2026-03-08T14:37:18.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:37:18.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:37:18.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:37:18.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:37:18.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:37:18.496Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (53000.673 ms) ====== [2026-03-08T14:37:18.496Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-08T14:37:19.260Z] GC before operation: completed in 661.134 ms, heap usage 190.642 MB -> 90.032 MB. [2026-03-08T14:37:28.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:37:35.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:37:43.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:37:50.945Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:37:55.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:38:00.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:38:04.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:38:09.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:38:10.361Z] 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. [2026-03-08T14:38:10.361Z] The best model improves the baseline by 14.52%. [2026-03-08T14:38:11.102Z] Top recommended movies for user id 72: [2026-03-08T14:38:11.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:38:11.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:38:11.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:38:11.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:38:11.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:38:11.102Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51761.223 ms) ====== [2026-03-08T14:38:11.102Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-08T14:38:11.865Z] GC before operation: completed in 676.783 ms, heap usage 408.894 MB -> 90.598 MB. [2026-03-08T14:38:19.341Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:38:28.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:38:35.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:38:43.333Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:38:48.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:38:53.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:38:57.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:39:02.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:39:03.907Z] 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. [2026-03-08T14:39:03.907Z] The best model improves the baseline by 14.52%. [2026-03-08T14:39:04.258Z] Top recommended movies for user id 72: [2026-03-08T14:39:04.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:39:04.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:39:04.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:39:04.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:39:04.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:39:04.258Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52673.543 ms) ====== [2026-03-08T14:39:04.259Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-08T14:39:05.022Z] GC before operation: completed in 650.645 ms, heap usage 110.716 MB -> 90.557 MB. [2026-03-08T14:39:14.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:39:21.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:39:29.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:39:36.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:39:45.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:39:46.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:39:53.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:39:56.031Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:39:56.777Z] 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. [2026-03-08T14:39:56.777Z] The best model improves the baseline by 14.52%. [2026-03-08T14:39:57.518Z] Top recommended movies for user id 72: [2026-03-08T14:39:57.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:39:57.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:39:57.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:39:57.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:39:57.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:39:57.518Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52412.116 ms) ====== [2026-03-08T14:39:57.518Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-08T14:39:58.284Z] GC before operation: completed in 683.863 ms, heap usage 498.211 MB -> 90.635 MB. [2026-03-08T14:40:08.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:40:13.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:40:24.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:40:32.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:40:33.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:40:38.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:40:43.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:40:48.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:40:49.229Z] 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. [2026-03-08T14:40:49.577Z] The best model improves the baseline by 14.52%. [2026-03-08T14:40:50.319Z] Top recommended movies for user id 72: [2026-03-08T14:40:50.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:40:50.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:40:50.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:40:50.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:40:50.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:40:50.319Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52021.093 ms) ====== [2026-03-08T14:40:50.319Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-08T14:40:51.061Z] GC before operation: completed in 682.643 ms, heap usage 299.586 MB -> 90.211 MB. [2026-03-08T14:40:58.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:41:07.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:41:15.040Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:41:22.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:41:27.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:41:31.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:41:36.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:41:41.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:41:42.100Z] 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. [2026-03-08T14:41:42.445Z] The best model improves the baseline by 14.52%. [2026-03-08T14:41:43.203Z] Top recommended movies for user id 72: [2026-03-08T14:41:43.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:41:43.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:41:43.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:41:43.203Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:41:43.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:41:43.203Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52097.465 ms) ====== [2026-03-08T14:41:43.203Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-08T14:41:43.567Z] GC before operation: completed in 674.345 ms, heap usage 132.443 MB -> 90.076 MB. [2026-03-08T14:41:52.666Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-08T14:42:00.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-08T14:42:07.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-08T14:42:15.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-08T14:42:20.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-08T14:42:24.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-08T14:42:29.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-08T14:42:34.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-08T14:42:34.809Z] 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. [2026-03-08T14:42:34.809Z] The best model improves the baseline by 14.52%. [2026-03-08T14:42:35.572Z] Top recommended movies for user id 72: [2026-03-08T14:42:35.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-08T14:42:35.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-08T14:42:35.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-08T14:42:35.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-08T14:42:35.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-08T14:42:35.572Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51958.030 ms) ====== [2026-03-08T14:42:39.476Z] ----------------------------------- [2026-03-08T14:42:39.476Z] renaissance-movie-lens_0_PASSED [2026-03-08T14:42:39.476Z] ----------------------------------- [2026-03-08T14:42:39.476Z] [2026-03-08T14:42:39.476Z] TEST TEARDOWN: [2026-03-08T14:42:39.476Z] Nothing to be done for teardown. [2026-03-08T14:42:39.476Z] renaissance-movie-lens_0 Finish Time: Sun Mar 8 14:42:38 2026 Epoch Time (ms): 1772980958862