[2026-03-01T23:18:49.613Z] Running test renaissance-movie-lens_0 ... [2026-03-01T23:18:49.613Z] =============================================== [2026-03-01T23:18:49.613Z] renaissance-movie-lens_0 Start Time: Sun Mar 1 18:18:37 2026 Epoch Time (ms): 1772407117882 [2026-03-01T23:18:49.613Z] variation: NoOptions [2026-03-01T23:18:49.613Z] JVM_OPTIONS: [2026-03-01T23:18:49.613Z] { \ [2026-03-01T23:18:49.613Z] echo ""; echo "TEST SETUP:"; \ [2026-03-01T23:18:49.613Z] echo "Nothing to be done for setup."; \ [2026-03-01T23:18:49.613Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17724034942306/renaissance-movie-lens_0"; \ [2026-03-01T23:18:49.613Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17724034942306/renaissance-movie-lens_0"; \ [2026-03-01T23:18:49.613Z] echo ""; echo "TESTING:"; \ [2026-03-01T23:18:49.613Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17724034942306/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-01T23:18:49.613Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17724034942306/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-01T23:18:49.613Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-01T23:18:49.613Z] echo "Nothing to be done for teardown."; \ [2026-03-01T23:18:49.613Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17724034942306/TestTargetResult"; [2026-03-01T23:18:49.613Z] [2026-03-01T23:18:49.613Z] TEST SETUP: [2026-03-01T23:18:49.613Z] Nothing to be done for setup. [2026-03-01T23:18:49.613Z] [2026-03-01T23:18:49.613Z] TESTING: [2026-03-01T23:19:16.549Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-01T23:20:01.732Z] 18:19:55.570 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-01T23:20:10.476Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-01T23:20:15.763Z] Training: 60056, validation: 20285, test: 19854 [2026-03-01T23:20:15.763Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-01T23:20:16.401Z] GC before operation: completed in 684.382 ms, heap usage 272.251 MB -> 74.609 MB. [2026-03-01T23:21:09.804Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:21:36.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:22:04.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:22:27.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:22:43.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:22:55.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:23:04.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:23:18.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:23:18.077Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:23:19.960Z] The best model improves the baseline by 14.52%. [2026-03-01T23:23:21.443Z] Top recommended movies for user id 72: [2026-03-01T23:23:21.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:23:21.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:23:21.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:23:21.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:23:21.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:23:21.443Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (184500.679 ms) ====== [2026-03-01T23:23:21.443Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-01T23:23:22.779Z] GC before operation: completed in 1468.582 ms, heap usage 419.652 MB -> 88.833 MB. [2026-03-01T23:23:49.987Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:24:17.793Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:24:36.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:24:54.998Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:25:06.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:25:19.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:25:35.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:25:49.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:25:50.791Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:25:51.275Z] The best model improves the baseline by 14.52%. [2026-03-01T23:25:51.779Z] Top recommended movies for user id 72: [2026-03-01T23:25:51.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:25:51.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:25:51.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:25:51.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:25:51.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:25:51.779Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (149372.579 ms) ====== [2026-03-01T23:25:51.779Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-01T23:25:52.343Z] GC before operation: completed in 462.108 ms, heap usage 161.191 MB -> 92.019 MB. [2026-03-01T23:26:14.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:26:37.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:27:04.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:27:31.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:27:43.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:27:54.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:28:03.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:28:10.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:28:13.172Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:28:13.172Z] The best model improves the baseline by 14.52%. [2026-03-01T23:28:13.172Z] Top recommended movies for user id 72: [2026-03-01T23:28:13.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:28:13.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:28:13.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:28:13.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:28:13.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:28:13.172Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (141134.861 ms) ====== [2026-03-01T23:28:13.172Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-01T23:28:14.198Z] GC before operation: completed in 621.980 ms, heap usage 482.812 MB -> 88.613 MB. [2026-03-01T23:28:34.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:28:58.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:29:26.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:29:50.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:30:02.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:30:15.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:30:32.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:30:44.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:30:45.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:30:45.880Z] The best model improves the baseline by 14.52%. [2026-03-01T23:30:46.474Z] Top recommended movies for user id 72: [2026-03-01T23:30:46.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:30:46.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:30:46.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:30:46.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:30:46.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:30:46.474Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (152224.214 ms) ====== [2026-03-01T23:30:46.474Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-01T23:30:48.375Z] GC before operation: completed in 1972.690 ms, heap usage 332.181 MB -> 88.688 MB. [2026-03-01T23:31:15.854Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:31:31.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:31:47.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:32:10.003Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:32:18.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:32:32.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:32:46.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:33:01.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:33:01.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:33:01.018Z] The best model improves the baseline by 14.52%. [2026-03-01T23:33:03.260Z] Top recommended movies for user id 72: [2026-03-01T23:33:03.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:33:03.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:33:03.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:33:03.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:33:03.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:33:03.260Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (134794.648 ms) ====== [2026-03-01T23:33:03.260Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-01T23:33:03.779Z] GC before operation: completed in 512.278 ms, heap usage 484.930 MB -> 88.952 MB. [2026-03-01T23:33:30.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:33:49.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:34:08.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:34:36.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:34:58.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:35:15.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:35:29.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:35:46.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:35:47.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:35:47.826Z] The best model improves the baseline by 14.52%. [2026-03-01T23:35:50.088Z] Top recommended movies for user id 72: [2026-03-01T23:35:50.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:35:50.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:35:50.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:35:50.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:35:50.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:35:50.088Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (166348.043 ms) ====== [2026-03-01T23:35:50.088Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-01T23:35:50.751Z] GC before operation: completed in 969.617 ms, heap usage 350.659 MB -> 88.941 MB. [2026-03-01T23:36:18.796Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:36:42.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:37:01.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:37:17.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:37:24.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:37:35.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:37:46.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:37:56.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:37:58.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:37:58.974Z] The best model improves the baseline by 14.52%. [2026-03-01T23:38:00.209Z] Top recommended movies for user id 72: [2026-03-01T23:38:00.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:38:00.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:38:00.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:38:00.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:38:00.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:38:00.209Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (129132.112 ms) ====== [2026-03-01T23:38:00.209Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-01T23:38:01.121Z] GC before operation: completed in 733.423 ms, heap usage 106.170 MB -> 92.607 MB. [2026-03-01T23:38:28.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:38:46.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:39:10.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:39:38.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:39:52.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:40:01.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:40:11.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:40:18.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:40:19.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:40:19.512Z] The best model improves the baseline by 14.52%. [2026-03-01T23:40:20.608Z] Top recommended movies for user id 72: [2026-03-01T23:40:20.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:40:20.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:40:20.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:40:20.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:40:20.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:40:20.608Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (140036.163 ms) ====== [2026-03-01T23:40:20.608Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-01T23:40:21.197Z] GC before operation: completed in 490.831 ms, heap usage 324.592 MB -> 89.109 MB. [2026-03-01T23:40:53.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:41:13.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:41:28.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:41:56.679Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:42:04.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:42:15.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:42:28.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:42:36.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:42:38.235Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:42:38.235Z] The best model improves the baseline by 14.52%. [2026-03-01T23:42:38.643Z] Top recommended movies for user id 72: [2026-03-01T23:42:38.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:42:38.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:42:38.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:42:38.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:42:38.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:42:38.643Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (137576.666 ms) ====== [2026-03-01T23:42:38.643Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-01T23:42:39.797Z] GC before operation: completed in 1143.188 ms, heap usage 663.113 MB -> 93.774 MB. [2026-03-01T23:42:58.254Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:43:20.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:43:40.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:43:59.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:44:07.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:44:19.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:44:31.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:44:44.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:44:44.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:44:44.817Z] The best model improves the baseline by 14.52%. [2026-03-01T23:44:44.817Z] Top recommended movies for user id 72: [2026-03-01T23:44:44.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:44:44.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:44:44.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:44:44.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:44:44.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:44:44.817Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (125018.894 ms) ====== [2026-03-01T23:44:44.817Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-01T23:44:46.158Z] GC before operation: completed in 1177.335 ms, heap usage 425.184 MB -> 89.251 MB. [2026-03-01T23:45:08.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:45:29.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:45:48.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:46:07.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:46:19.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:46:29.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:46:38.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:46:52.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:46:54.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:46:54.150Z] The best model improves the baseline by 14.52%. [2026-03-01T23:46:54.717Z] Top recommended movies for user id 72: [2026-03-01T23:46:54.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:46:54.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:46:54.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:46:54.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:46:54.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:46:54.717Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (128652.898 ms) ====== [2026-03-01T23:46:54.717Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-01T23:46:56.015Z] GC before operation: completed in 1276.320 ms, heap usage 762.972 MB -> 92.683 MB. [2026-03-01T23:47:22.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:47:38.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:48:01.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:48:20.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:48:29.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:48:41.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:48:53.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:49:04.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:49:04.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:49:04.413Z] The best model improves the baseline by 14.52%. [2026-03-01T23:49:05.679Z] Top recommended movies for user id 72: [2026-03-01T23:49:05.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:49:05.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:49:05.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:49:05.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:49:05.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:49:05.679Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (129430.169 ms) ====== [2026-03-01T23:49:05.679Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-01T23:49:06.258Z] GC before operation: completed in 911.979 ms, heap usage 420.674 MB -> 89.192 MB. [2026-03-01T23:49:33.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:49:52.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:50:10.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:50:29.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:50:41.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:50:52.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:51:04.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:51:16.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:51:16.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:51:16.032Z] The best model improves the baseline by 14.52%. [2026-03-01T23:51:17.808Z] Top recommended movies for user id 72: [2026-03-01T23:51:17.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:51:17.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:51:17.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:51:17.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:51:17.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:51:17.808Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (131082.592 ms) ====== [2026-03-01T23:51:17.808Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-01T23:51:18.328Z] GC before operation: completed in 514.583 ms, heap usage 503.508 MB -> 89.478 MB. [2026-03-01T23:51:41.413Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:52:03.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:52:22.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:52:38.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:52:51.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:53:03.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:53:14.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:53:21.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:53:22.268Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:53:22.268Z] The best model improves the baseline by 14.52%. [2026-03-01T23:53:22.800Z] Top recommended movies for user id 72: [2026-03-01T23:53:22.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:53:22.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:53:22.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:53:22.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:53:22.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:53:22.800Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (124873.689 ms) ====== [2026-03-01T23:53:22.800Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-01T23:53:23.252Z] GC before operation: completed in 535.889 ms, heap usage 210.406 MB -> 90.209 MB. [2026-03-01T23:53:45.239Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:54:04.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:54:26.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:54:42.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:54:54.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:55:03.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:55:13.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:55:23.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:55:24.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:55:24.978Z] The best model improves the baseline by 14.52%. [2026-03-01T23:55:25.472Z] Top recommended movies for user id 72: [2026-03-01T23:55:25.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:55:25.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:55:25.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:55:25.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:55:25.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:55:25.472Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (122045.893 ms) ====== [2026-03-01T23:55:25.472Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-01T23:55:25.946Z] GC before operation: completed in 485.959 ms, heap usage 160.937 MB -> 89.039 MB. [2026-03-01T23:55:49.224Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:56:12.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:56:28.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:56:44.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:56:53.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:57:04.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:57:18.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:57:29.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:57:29.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:57:29.460Z] The best model improves the baseline by 14.52%. [2026-03-01T23:57:30.028Z] Top recommended movies for user id 72: [2026-03-01T23:57:30.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:57:30.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:57:30.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:57:30.028Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:57:30.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:57:30.028Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (123905.461 ms) ====== [2026-03-01T23:57:30.028Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-01T23:57:31.057Z] GC before operation: completed in 1067.214 ms, heap usage 458.626 MB -> 89.298 MB. [2026-03-01T23:57:52.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T23:58:11.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T23:58:30.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T23:58:46.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T23:58:55.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T23:59:05.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T23:59:15.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T23:59:24.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T23:59:28.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T23:59:28.158Z] The best model improves the baseline by 14.52%. [2026-03-01T23:59:30.177Z] Top recommended movies for user id 72: [2026-03-01T23:59:30.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T23:59:30.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T23:59:30.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T23:59:30.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T23:59:30.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T23:59:30.177Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (118949.430 ms) ====== [2026-03-01T23:59:30.177Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-01T23:59:30.686Z] GC before operation: completed in 813.483 ms, heap usage 142.877 MB -> 89.238 MB. [2026-03-01T23:59:53.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:00:12.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:00:31.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:00:49.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:00:59.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:01:08.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:01:20.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:01:34.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:01:34.189Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T00:01:34.896Z] The best model improves the baseline by 14.52%. [2026-03-02T00:01:35.962Z] Top recommended movies for user id 72: [2026-03-02T00:01:35.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T00:01:35.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T00:01:35.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T00:01:35.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T00:01:35.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T00:01:35.962Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (125253.909 ms) ====== [2026-03-02T00:01:35.962Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-02T00:01:36.421Z] GC before operation: completed in 574.386 ms, heap usage 785.784 MB -> 92.879 MB. [2026-03-02T00:01:55.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:02:14.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:02:29.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:02:49.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:02:58.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:03:07.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:03:19.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:03:29.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:03:31.335Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T00:03:31.335Z] The best model improves the baseline by 14.52%. [2026-03-02T00:03:31.335Z] Top recommended movies for user id 72: [2026-03-02T00:03:31.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T00:03:31.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T00:03:31.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T00:03:31.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T00:03:31.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T00:03:31.335Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (114791.972 ms) ====== [2026-03-02T00:03:31.335Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-02T00:03:31.827Z] GC before operation: completed in 519.209 ms, heap usage 560.421 MB -> 92.680 MB. [2026-03-02T00:03:58.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:04:17.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:04:33.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:04:49.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:04:59.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:05:10.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:05:21.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:05:34.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:05:34.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T00:05:35.451Z] The best model improves the baseline by 14.52%. [2026-03-02T00:05:35.928Z] Top recommended movies for user id 72: [2026-03-02T00:05:35.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T00:05:35.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T00:05:35.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T00:05:35.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T00:05:35.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T00:05:35.928Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (123862.843 ms) ====== [2026-03-02T00:05:44.549Z] ----------------------------------- [2026-03-02T00:05:44.549Z] renaissance-movie-lens_0_PASSED [2026-03-02T00:05:44.549Z] ----------------------------------- [2026-03-02T00:05:44.549Z] [2026-03-02T00:05:44.549Z] TEST TEARDOWN: [2026-03-02T00:05:44.549Z] Nothing to be done for teardown. [2026-03-02T00:05:44.973Z] renaissance-movie-lens_0 Finish Time: Sun Mar 1 19:05:44 2026 Epoch Time (ms): 1772409944839