[2026-01-03T14:47:17.460Z] Running test renaissance-movie-lens_0 ... [2026-01-03T14:47:17.460Z] =============================================== [2026-01-03T14:47:17.460Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 14:47:16 2026 Epoch Time (ms): 1767451636407 [2026-01-03T14:47:17.460Z] variation: NoOptions [2026-01-03T14:47:17.460Z] JVM_OPTIONS: [2026-01-03T14:47:17.460Z] { \ [2026-01-03T14:47:17.460Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T14:47:17.460Z] echo "Nothing to be done for setup."; \ [2026-01-03T14:47:17.460Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674501958930/renaissance-movie-lens_0"; \ [2026-01-03T14:47:17.460Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674501958930/renaissance-movie-lens_0"; \ [2026-01-03T14:47:17.460Z] echo ""; echo "TESTING:"; \ [2026-01-03T14:47:17.460Z] "/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_17674501958930/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T14:47:17.460Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674501958930/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T14:47:17.460Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T14:47:17.460Z] echo "Nothing to be done for teardown."; \ [2026-01-03T14:47:17.460Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674501958930/TestTargetResult"; [2026-01-03T14:47:17.460Z] [2026-01-03T14:47:17.460Z] TEST SETUP: [2026-01-03T14:47:17.460Z] Nothing to be done for setup. [2026-01-03T14:47:17.460Z] [2026-01-03T14:47:17.460Z] TESTING: [2026-01-03T14:47:17.460Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T14:47:17.460Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17674501958930/renaissance-movie-lens_0/launcher-144716-1995182891278796683/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T14:47:17.460Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T14:47:17.460Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T14:47:22.500Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T14:47:29.363Z] 14:47:28.091 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T14:47:30.316Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T14:47:31.271Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T14:47:31.271Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T14:47:31.271Z] GC before operation: completed in 161.174 ms, heap usage 141.213 MB -> 75.886 MB. [2026-01-03T14:47:36.662Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:47:38.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:47:41.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:47:44.669Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:47:46.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:47:47.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:47:49.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:47:51.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:47:51.499Z] 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. [2026-01-03T14:47:51.499Z] The best model improves the baseline by 14.52%. [2026-01-03T14:47:51.499Z] Top recommended movies for user id 72: [2026-01-03T14:47:51.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:47:51.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:47:51.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:47:51.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:47:51.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:47:51.499Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20678.651 ms) ====== [2026-01-03T14:47:51.499Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T14:47:52.456Z] GC before operation: completed in 144.019 ms, heap usage 258.995 MB -> 90.135 MB. [2026-01-03T14:47:54.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:47:57.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:47:59.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:48:02.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:48:03.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:48:05.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:48:07.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:48:08.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:48:09.206Z] 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. [2026-01-03T14:48:09.206Z] The best model improves the baseline by 14.52%. [2026-01-03T14:48:09.206Z] Top recommended movies for user id 72: [2026-01-03T14:48:09.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:48:09.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:48:09.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:48:09.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:48:09.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:48:09.206Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17048.870 ms) ====== [2026-01-03T14:48:09.206Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T14:48:09.206Z] GC before operation: completed in 128.285 ms, heap usage 378.578 MB -> 88.940 MB. [2026-01-03T14:48:12.239Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:48:14.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:48:16.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:48:18.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:48:20.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:48:22.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:48:23.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:48:25.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:48:25.789Z] 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. [2026-01-03T14:48:25.789Z] The best model improves the baseline by 14.52%. [2026-01-03T14:48:25.789Z] Top recommended movies for user id 72: [2026-01-03T14:48:25.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:48:25.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:48:25.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:48:25.789Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:48:25.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:48:25.789Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16894.069 ms) ====== [2026-01-03T14:48:25.789Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T14:48:25.789Z] GC before operation: completed in 111.106 ms, heap usage 356.177 MB -> 89.363 MB. [2026-01-03T14:48:28.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:48:30.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:48:32.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:48:35.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:48:36.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:48:38.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:48:40.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:48:41.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:48:41.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T14:48:41.605Z] The best model improves the baseline by 14.52%. [2026-01-03T14:48:42.558Z] Top recommended movies for user id 72: [2026-01-03T14:48:42.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:48:42.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:48:42.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:48:42.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:48:42.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:48:42.558Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15933.936 ms) ====== [2026-01-03T14:48:42.558Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T14:48:42.558Z] GC before operation: completed in 134.167 ms, heap usage 433.011 MB -> 89.839 MB. [2026-01-03T14:48:44.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:48:46.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:48:49.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:48:51.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:48:53.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:48:54.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:48:56.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:48:57.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:48:57.285Z] 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. [2026-01-03T14:48:57.285Z] The best model improves the baseline by 14.52%. [2026-01-03T14:48:58.242Z] Top recommended movies for user id 72: [2026-01-03T14:48:58.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:48:58.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:48:58.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:48:58.242Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:48:58.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:48:58.242Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15731.055 ms) ====== [2026-01-03T14:48:58.242Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T14:48:58.242Z] GC before operation: completed in 134.455 ms, heap usage 293.965 MB -> 89.578 MB. [2026-01-03T14:49:00.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:49:02.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:49:05.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:49:06.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:49:08.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:49:09.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:49:11.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:49:12.669Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:49:12.669Z] 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. [2026-01-03T14:49:12.669Z] The best model improves the baseline by 14.52%. [2026-01-03T14:49:13.622Z] Top recommended movies for user id 72: [2026-01-03T14:49:13.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:49:13.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:49:13.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:49:13.622Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:49:13.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:49:13.622Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15177.061 ms) ====== [2026-01-03T14:49:13.622Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T14:49:13.622Z] GC before operation: completed in 140.164 ms, heap usage 340.468 MB -> 89.899 MB. [2026-01-03T14:49:15.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:49:17.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:49:20.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:49:22.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:49:23.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:49:25.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:49:26.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:49:28.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:49:28.356Z] 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. [2026-01-03T14:49:28.356Z] The best model improves the baseline by 14.52%. [2026-01-03T14:49:28.356Z] Top recommended movies for user id 72: [2026-01-03T14:49:28.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:49:28.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:49:28.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:49:28.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:49:28.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:49:28.356Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15019.305 ms) ====== [2026-01-03T14:49:28.356Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T14:49:28.356Z] GC before operation: completed in 110.776 ms, heap usage 157.445 MB -> 89.665 MB. [2026-01-03T14:49:31.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:49:33.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:49:35.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:49:38.386Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:49:39.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:49:40.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:49:42.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:49:43.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:49:44.165Z] 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. [2026-01-03T14:49:44.165Z] The best model improves the baseline by 14.52%. [2026-01-03T14:49:44.165Z] Top recommended movies for user id 72: [2026-01-03T14:49:44.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:49:44.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:49:44.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:49:44.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:49:44.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:49:44.165Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15492.021 ms) ====== [2026-01-03T14:49:44.165Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T14:49:44.165Z] GC before operation: completed in 136.884 ms, heap usage 371.028 MB -> 90.142 MB. [2026-01-03T14:49:46.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:49:48.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:49:51.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:49:53.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:49:55.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:49:55.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:49:56.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:49:58.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:49:59.552Z] 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. [2026-01-03T14:49:59.552Z] The best model improves the baseline by 14.52%. [2026-01-03T14:49:59.552Z] Top recommended movies for user id 72: [2026-01-03T14:49:59.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:49:59.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:49:59.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:49:59.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:49:59.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:49:59.552Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15126.554 ms) ====== [2026-01-03T14:49:59.552Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T14:49:59.552Z] GC before operation: completed in 133.342 ms, heap usage 350.007 MB -> 89.944 MB. [2026-01-03T14:50:01.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:50:03.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:50:05.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:50:07.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:50:09.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:50:10.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:50:11.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:50:13.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:50:13.200Z] 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. [2026-01-03T14:50:13.200Z] The best model improves the baseline by 14.52%. [2026-01-03T14:50:13.200Z] Top recommended movies for user id 72: [2026-01-03T14:50:13.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:50:13.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:50:13.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:50:13.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:50:13.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:50:13.200Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13860.995 ms) ====== [2026-01-03T14:50:13.200Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T14:50:13.200Z] GC before operation: completed in 131.838 ms, heap usage 276.329 MB -> 90.143 MB. [2026-01-03T14:50:15.158Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:50:18.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:50:20.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:50:22.095Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:50:23.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:50:24.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:50:25.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:50:26.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:50:26.979Z] 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. [2026-01-03T14:50:26.979Z] The best model improves the baseline by 14.52%. [2026-01-03T14:50:27.931Z] Top recommended movies for user id 72: [2026-01-03T14:50:27.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:50:27.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:50:27.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:50:27.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:50:27.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:50:27.931Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14061.210 ms) ====== [2026-01-03T14:50:27.931Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T14:50:27.931Z] GC before operation: completed in 131.649 ms, heap usage 215.895 MB -> 89.718 MB. [2026-01-03T14:50:30.019Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:50:31.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:50:33.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:50:35.883Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:50:36.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:50:38.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:50:39.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:50:40.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:50:40.710Z] 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. [2026-01-03T14:50:40.710Z] The best model improves the baseline by 14.52%. [2026-01-03T14:50:41.662Z] Top recommended movies for user id 72: [2026-01-03T14:50:41.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:50:41.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:50:41.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:50:41.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:50:41.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:50:41.662Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13655.906 ms) ====== [2026-01-03T14:50:41.662Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T14:50:41.662Z] GC before operation: completed in 136.651 ms, heap usage 180.981 MB -> 89.944 MB. [2026-01-03T14:50:43.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:50:45.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:50:47.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:50:50.365Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:50:51.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:50:52.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:50:53.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:50:55.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:50:55.190Z] 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. [2026-01-03T14:50:55.190Z] The best model improves the baseline by 14.52%. [2026-01-03T14:50:55.190Z] Top recommended movies for user id 72: [2026-01-03T14:50:55.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:50:55.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:50:55.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:50:55.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:50:55.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:50:55.190Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13858.624 ms) ====== [2026-01-03T14:50:55.190Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T14:50:55.190Z] GC before operation: completed in 115.046 ms, heap usage 294.947 MB -> 90.228 MB. [2026-01-03T14:50:57.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:50:59.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:51:01.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:51:03.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:51:04.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:51:05.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:51:06.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:51:07.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:51:08.774Z] 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. [2026-01-03T14:51:08.774Z] The best model improves the baseline by 14.52%. [2026-01-03T14:51:08.774Z] Top recommended movies for user id 72: [2026-01-03T14:51:08.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:51:08.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:51:08.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:51:08.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:51:08.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:51:08.774Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13274.420 ms) ====== [2026-01-03T14:51:08.774Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T14:51:08.774Z] GC before operation: completed in 106.472 ms, heap usage 621.908 MB -> 93.803 MB. [2026-01-03T14:51:10.726Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:51:12.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:51:14.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:51:16.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:51:18.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:51:19.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:51:20.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:51:22.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:51:22.462Z] 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. [2026-01-03T14:51:22.462Z] The best model improves the baseline by 14.52%. [2026-01-03T14:51:22.462Z] Top recommended movies for user id 72: [2026-01-03T14:51:22.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:51:22.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:51:22.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:51:22.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:51:22.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:51:22.462Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13811.289 ms) ====== [2026-01-03T14:51:22.462Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T14:51:22.462Z] GC before operation: completed in 118.057 ms, heap usage 251.444 MB -> 90.203 MB. [2026-01-03T14:51:24.417Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:51:27.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:51:29.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:51:31.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:51:33.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:51:34.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:51:36.228Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:51:37.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:51:37.180Z] 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. [2026-01-03T14:51:37.180Z] The best model improves the baseline by 14.52%. [2026-01-03T14:51:38.131Z] Top recommended movies for user id 72: [2026-01-03T14:51:38.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:51:38.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:51:38.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:51:38.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:51:38.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:51:38.131Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14984.725 ms) ====== [2026-01-03T14:51:38.131Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T14:51:38.131Z] GC before operation: completed in 123.374 ms, heap usage 464.076 MB -> 90.435 MB. [2026-01-03T14:51:40.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:51:42.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:51:44.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:51:46.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:51:48.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:51:49.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:51:51.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:51:52.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:51:52.521Z] 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. [2026-01-03T14:51:52.521Z] The best model improves the baseline by 14.52%. [2026-01-03T14:51:53.474Z] Top recommended movies for user id 72: [2026-01-03T14:51:53.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:51:53.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:51:53.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:51:53.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:51:53.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:51:53.474Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15217.078 ms) ====== [2026-01-03T14:51:53.474Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T14:51:53.474Z] GC before operation: completed in 131.784 ms, heap usage 423.316 MB -> 90.318 MB. [2026-01-03T14:51:55.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:51:57.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:51:59.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:52:02.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:52:03.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:52:04.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:52:06.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:52:07.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:52:07.174Z] 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. [2026-01-03T14:52:07.174Z] The best model improves the baseline by 14.52%. [2026-01-03T14:52:07.174Z] Top recommended movies for user id 72: [2026-01-03T14:52:07.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:52:07.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:52:07.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:52:07.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:52:07.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:52:07.174Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14390.890 ms) ====== [2026-01-03T14:52:07.174Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T14:52:08.126Z] GC before operation: completed in 118.405 ms, heap usage 443.859 MB -> 90.300 MB. [2026-01-03T14:52:10.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:52:12.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:52:14.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:52:17.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:52:17.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:52:18.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:52:20.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:52:21.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:52:22.804Z] 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. [2026-01-03T14:52:22.805Z] The best model improves the baseline by 14.52%. [2026-01-03T14:52:22.805Z] Top recommended movies for user id 72: [2026-01-03T14:52:22.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:52:22.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:52:22.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:52:22.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:52:22.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:52:22.805Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14858.642 ms) ====== [2026-01-03T14:52:22.805Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T14:52:22.805Z] GC before operation: completed in 116.307 ms, heap usage 453.173 MB -> 90.385 MB. [2026-01-03T14:52:24.762Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:52:26.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:52:29.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:52:31.883Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:52:32.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:52:35.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:52:35.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:52:36.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:52:37.755Z] 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. [2026-01-03T14:52:37.755Z] The best model improves the baseline by 14.52%. [2026-01-03T14:52:37.755Z] Top recommended movies for user id 72: [2026-01-03T14:52:37.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:52:37.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:52:37.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:52:37.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:52:37.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:52:37.755Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14991.319 ms) ====== [2026-01-03T14:52:37.755Z] ----------------------------------- [2026-01-03T14:52:37.755Z] renaissance-movie-lens_0_PASSED [2026-01-03T14:52:37.755Z] ----------------------------------- [2026-01-03T14:52:37.755Z] [2026-01-03T14:52:37.755Z] TEST TEARDOWN: [2026-01-03T14:52:37.755Z] Nothing to be done for teardown. [2026-01-03T14:52:37.755Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 14:52:37 2026 Epoch Time (ms): 1767451957600