[2026-01-20T23:54:51.460Z] Running test renaissance-movie-lens_0 ... [2026-01-20T23:54:51.460Z] =============================================== [2026-01-20T23:54:51.460Z] renaissance-movie-lens_0 Start Time: Tue Jan 20 23:54:50 2026 Epoch Time (ms): 1768953290893 [2026-01-20T23:54:51.460Z] variation: NoOptions [2026-01-20T23:54:51.460Z] JVM_OPTIONS: [2026-01-20T23:54:51.460Z] { \ [2026-01-20T23:54:51.460Z] echo ""; echo "TEST SETUP:"; \ [2026-01-20T23:54:51.460Z] echo "Nothing to be done for setup."; \ [2026-01-20T23:54:51.460Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689524215919/renaissance-movie-lens_0"; \ [2026-01-20T23:54:51.460Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689524215919/renaissance-movie-lens_0"; \ [2026-01-20T23:54:51.460Z] echo ""; echo "TESTING:"; \ [2026-01-20T23:54:51.460Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-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_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689524215919/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-20T23:54:51.460Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689524215919/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-20T23:54:51.460Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-20T23:54:51.460Z] echo "Nothing to be done for teardown."; \ [2026-01-20T23:54:51.460Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17689524215919/TestTargetResult"; [2026-01-20T23:54:51.460Z] [2026-01-20T23:54:51.460Z] TEST SETUP: [2026-01-20T23:54:51.460Z] Nothing to be done for setup. [2026-01-20T23:54:51.460Z] [2026-01-20T23:54:51.460Z] TESTING: [2026-01-20T23:54:58.763Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-20T23:55:08.680Z] 23:55:07.126 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-20T23:55:11.119Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-20T23:55:11.874Z] Training: 60056, validation: 20285, test: 19854 [2026-01-20T23:55:11.874Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-20T23:55:11.874Z] GC before operation: completed in 184.436 ms, heap usage 250.039 MB -> 75.581 MB. [2026-01-20T23:55:21.669Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:55:27.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:55:31.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:55:35.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:55:37.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:55:40.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:55:42.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:55:44.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:55:44.870Z] 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. [2026-01-20T23:55:44.870Z] The best model improves the baseline by 14.52%. [2026-01-20T23:55:45.624Z] Top recommended movies for user id 72: [2026-01-20T23:55:45.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:55:45.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:55:45.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:55:45.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:55:45.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:55:45.624Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33483.973 ms) ====== [2026-01-20T23:55:45.624Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-20T23:55:45.624Z] GC before operation: completed in 127.652 ms, heap usage 412.173 MB -> 88.337 MB. [2026-01-20T23:55:50.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:55:52.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:55:56.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:55:59.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:56:02.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:56:04.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:56:07.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:56:09.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:56:09.454Z] 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. [2026-01-20T23:56:09.454Z] The best model improves the baseline by 14.52%. [2026-01-20T23:56:10.214Z] Top recommended movies for user id 72: [2026-01-20T23:56:10.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:56:10.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:56:10.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:56:10.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:56:10.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:56:10.214Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24445.672 ms) ====== [2026-01-20T23:56:10.214Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-20T23:56:10.214Z] GC before operation: completed in 161.096 ms, heap usage 737.661 MB -> 92.454 MB. [2026-01-20T23:56:14.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:56:17.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:56:21.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:56:24.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:56:27.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:56:29.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:56:31.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:56:33.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:56:33.921Z] 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. [2026-01-20T23:56:33.921Z] The best model improves the baseline by 14.52%. [2026-01-20T23:56:33.921Z] Top recommended movies for user id 72: [2026-01-20T23:56:33.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:56:33.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:56:33.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:56:33.921Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:56:33.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:56:33.921Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23661.660 ms) ====== [2026-01-20T23:56:33.921Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-20T23:56:34.683Z] GC before operation: completed in 127.890 ms, heap usage 421.572 MB -> 89.346 MB. [2026-01-20T23:56:38.058Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:56:41.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:56:45.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:56:48.766Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:56:53.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:56:54.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:56:57.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:56:58.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:56:59.387Z] 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. [2026-01-20T23:56:59.387Z] The best model improves the baseline by 14.52%. [2026-01-20T23:56:59.387Z] Top recommended movies for user id 72: [2026-01-20T23:56:59.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:56:59.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:56:59.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:56:59.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:56:59.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:56:59.387Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25388.915 ms) ====== [2026-01-20T23:56:59.387Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-20T23:56:59.387Z] GC before operation: completed in 132.089 ms, heap usage 266.591 MB -> 89.507 MB. [2026-01-20T23:57:02.792Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:57:06.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:57:08.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:57:11.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:57:14.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:57:15.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:57:18.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:57:20.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:57:21.143Z] 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. [2026-01-20T23:57:21.143Z] The best model improves the baseline by 14.52%. [2026-01-20T23:57:21.143Z] Top recommended movies for user id 72: [2026-01-20T23:57:21.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:57:21.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:57:21.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:57:21.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:57:21.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:57:21.143Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21843.416 ms) ====== [2026-01-20T23:57:21.143Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-20T23:57:21.143Z] GC before operation: completed in 170.648 ms, heap usage 214.867 MB -> 96.129 MB. [2026-01-20T23:57:24.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:57:27.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:57:31.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:57:34.622Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:57:36.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:57:38.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:57:40.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:57:41.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:57:42.581Z] 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. [2026-01-20T23:57:42.581Z] The best model improves the baseline by 14.52%. [2026-01-20T23:57:42.581Z] Top recommended movies for user id 72: [2026-01-20T23:57:42.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:57:42.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:57:42.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:57:42.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:57:42.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:57:42.581Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20941.746 ms) ====== [2026-01-20T23:57:42.581Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-20T23:57:42.581Z] GC before operation: completed in 118.520 ms, heap usage 365.818 MB -> 92.417 MB. [2026-01-20T23:57:45.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:57:48.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:57:51.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:57:55.104Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:57:56.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:57:58.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:57:59.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:58:02.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:58:02.434Z] 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. [2026-01-20T23:58:02.434Z] The best model improves the baseline by 14.52%. [2026-01-20T23:58:02.434Z] Top recommended movies for user id 72: [2026-01-20T23:58:02.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:58:02.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:58:02.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:58:02.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:58:02.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:58:02.434Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19862.891 ms) ====== [2026-01-20T23:58:02.434Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-20T23:58:02.434Z] GC before operation: completed in 120.416 ms, heap usage 180.846 MB -> 89.782 MB. [2026-01-20T23:58:05.814Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:58:09.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:58:12.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:58:14.627Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:58:16.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:58:17.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:58:19.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:58:20.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:58:20.908Z] 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. [2026-01-20T23:58:20.908Z] The best model improves the baseline by 14.52%. [2026-01-20T23:58:21.663Z] Top recommended movies for user id 72: [2026-01-20T23:58:21.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:58:21.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:58:21.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:58:21.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:58:21.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:58:21.663Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18854.270 ms) ====== [2026-01-20T23:58:21.663Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-20T23:58:21.663Z] GC before operation: completed in 106.067 ms, heap usage 425.288 MB -> 90.294 MB. [2026-01-20T23:58:24.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:58:26.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:58:29.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:58:31.445Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:58:33.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:58:35.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:58:37.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:58:38.587Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:58:38.587Z] 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. [2026-01-20T23:58:38.587Z] The best model improves the baseline by 14.52%. [2026-01-20T23:58:38.587Z] Top recommended movies for user id 72: [2026-01-20T23:58:38.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:58:38.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:58:38.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:58:38.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:58:38.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:58:38.587Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17329.355 ms) ====== [2026-01-20T23:58:38.587Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-20T23:58:38.587Z] GC before operation: completed in 112.784 ms, heap usage 266.606 MB -> 89.948 MB. [2026-01-20T23:58:41.953Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:58:44.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:58:47.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:58:50.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:58:52.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:58:54.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:58:55.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:58:57.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:58:57.313Z] 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. [2026-01-20T23:58:57.313Z] The best model improves the baseline by 14.52%. [2026-01-20T23:58:58.063Z] Top recommended movies for user id 72: [2026-01-20T23:58:58.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:58:58.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:58:58.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:58:58.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:58:58.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:58:58.063Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18884.970 ms) ====== [2026-01-20T23:58:58.063Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-20T23:58:58.063Z] GC before operation: completed in 114.445 ms, heap usage 608.477 MB -> 93.760 MB. [2026-01-20T23:59:00.613Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:59:03.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:59:05.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:59:08.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:59:09.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:59:11.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:59:13.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:59:14.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:59:15.323Z] 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. [2026-01-20T23:59:15.323Z] The best model improves the baseline by 14.52%. [2026-01-20T23:59:15.323Z] Top recommended movies for user id 72: [2026-01-20T23:59:15.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:59:15.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:59:15.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:59:15.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:59:15.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:59:15.323Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17197.904 ms) ====== [2026-01-20T23:59:15.323Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-20T23:59:15.323Z] GC before operation: completed in 112.996 ms, heap usage 172.078 MB -> 91.974 MB. [2026-01-20T23:59:17.790Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:59:20.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:59:23.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:59:26.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:59:27.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:59:29.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:59:31.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:59:33.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:59:33.114Z] 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. [2026-01-20T23:59:33.114Z] The best model improves the baseline by 14.52%. [2026-01-20T23:59:33.114Z] Top recommended movies for user id 72: [2026-01-20T23:59:33.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:59:33.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:59:33.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:59:33.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:59:33.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:59:33.114Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18034.149 ms) ====== [2026-01-20T23:59:33.114Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-20T23:59:33.114Z] GC before operation: completed in 124.153 ms, heap usage 292.305 MB -> 95.787 MB. [2026-01-20T23:59:36.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:59:38.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:59:42.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:59:44.689Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:59:46.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:59:47.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:59:50.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:59:51.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:59:51.792Z] 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. [2026-01-20T23:59:51.792Z] The best model improves the baseline by 14.52%. [2026-01-20T23:59:51.792Z] Top recommended movies for user id 72: [2026-01-20T23:59:51.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:59:51.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:59:51.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:59:51.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:59:51.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:59:51.792Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18474.154 ms) ====== [2026-01-20T23:59:51.792Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-20T23:59:51.792Z] GC before operation: completed in 114.744 ms, heap usage 133.309 MB -> 94.216 MB. [2026-01-20T23:59:55.148Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:59:57.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:00:00.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:00:03.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:00:04.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:00:06.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:00:07.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:00:09.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:00:10.126Z] 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. [2026-01-21T00:00:10.126Z] The best model improves the baseline by 14.52%. [2026-01-21T00:00:10.126Z] Top recommended movies for user id 72: [2026-01-21T00:00:10.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:00:10.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:00:10.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:00:10.126Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:00:10.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:00:10.126Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17927.525 ms) ====== [2026-01-21T00:00:10.126Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T00:00:10.126Z] GC before operation: completed in 116.279 ms, heap usage 304.279 MB -> 91.894 MB. [2026-01-21T00:00:12.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:00:15.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:00:18.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:00:20.792Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:00:22.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:00:23.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:00:25.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:00:27.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:00:27.167Z] 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. [2026-01-21T00:00:27.167Z] The best model improves the baseline by 14.52%. [2026-01-21T00:00:27.167Z] Top recommended movies for user id 72: [2026-01-21T00:00:27.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:00:27.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:00:27.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:00:27.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:00:27.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:00:27.167Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17285.903 ms) ====== [2026-01-21T00:00:27.167Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T00:00:27.167Z] GC before operation: completed in 114.564 ms, heap usage 472.237 MB -> 90.535 MB. [2026-01-21T00:00:30.541Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:00:32.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:00:36.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:00:38.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:00:40.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:00:41.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:00:43.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:00:45.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:00:45.522Z] 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. [2026-01-21T00:00:45.522Z] The best model improves the baseline by 14.52%. [2026-01-21T00:00:45.522Z] Top recommended movies for user id 72: [2026-01-21T00:00:45.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:00:45.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:00:45.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:00:45.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:00:45.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:00:45.522Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18225.381 ms) ====== [2026-01-21T00:00:45.522Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T00:00:45.522Z] GC before operation: completed in 114.108 ms, heap usage 116.233 MB -> 92.335 MB. [2026-01-21T00:00:48.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:00:52.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:00:54.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:00:57.089Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:00:58.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:01:00.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:01:02.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:01:04.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:01:04.224Z] 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. [2026-01-21T00:01:04.224Z] The best model improves the baseline by 14.52%. [2026-01-21T00:01:04.224Z] Top recommended movies for user id 72: [2026-01-21T00:01:04.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:01:04.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:01:04.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:01:04.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:01:04.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:01:04.224Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18465.012 ms) ====== [2026-01-21T00:01:04.224Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T00:01:04.224Z] GC before operation: completed in 111.215 ms, heap usage 430.696 MB -> 91.635 MB. [2026-01-21T00:01:07.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:01:10.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:01:12.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:01:16.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:01:17.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:01:19.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:01:20.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:01:22.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:01:22.258Z] 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. [2026-01-21T00:01:22.258Z] The best model improves the baseline by 14.52%. [2026-01-21T00:01:23.516Z] Top recommended movies for user id 72: [2026-01-21T00:01:23.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:01:23.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:01:23.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:01:23.516Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:01:23.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:01:23.516Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18373.987 ms) ====== [2026-01-21T00:01:23.516Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T00:01:23.516Z] GC before operation: completed in 112.725 ms, heap usage 240.500 MB -> 89.945 MB. [2026-01-21T00:01:25.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:01:28.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:01:30.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:01:33.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:01:34.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:01:36.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:01:37.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:01:39.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:01:39.506Z] 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. [2026-01-21T00:01:39.506Z] The best model improves the baseline by 14.52%. [2026-01-21T00:01:40.256Z] Top recommended movies for user id 72: [2026-01-21T00:01:40.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:01:40.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:01:40.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:01:40.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:01:40.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:01:40.256Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17105.931 ms) ====== [2026-01-21T00:01:40.256Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T00:01:40.256Z] GC before operation: completed in 119.525 ms, heap usage 679.868 MB -> 93.909 MB. [2026-01-21T00:01:42.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:01:45.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:01:48.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:01:50.988Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:01:53.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:01:54.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:01:57.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:01:59.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:01:59.884Z] 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. [2026-01-21T00:01:59.884Z] The best model improves the baseline by 14.52%. [2026-01-21T00:01:59.884Z] Top recommended movies for user id 72: [2026-01-21T00:01:59.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T00:01:59.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T00:01:59.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T00:01:59.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T00:01:59.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T00:01:59.884Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19914.453 ms) ====== [2026-01-21T00:02:00.643Z] ----------------------------------- [2026-01-21T00:02:00.643Z] renaissance-movie-lens_0_PASSED [2026-01-21T00:02:00.643Z] ----------------------------------- [2026-01-21T00:02:00.643Z] [2026-01-21T00:02:00.643Z] TEST TEARDOWN: [2026-01-21T00:02:00.643Z] Nothing to be done for teardown. [2026-01-21T00:02:00.643Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 00:02:00 2026 Epoch Time (ms): 1768953720241