[2026-01-10T18:57:24.218Z] Running test renaissance-movie-lens_0 ... [2026-01-10T18:57:24.218Z] =============================================== [2026-01-10T18:57:24.218Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 13:57:19 2026 Epoch Time (ms): 1768071439681 [2026-01-10T18:57:24.218Z] variation: NoOptions [2026-01-10T18:57:24.218Z] JVM_OPTIONS: [2026-01-10T18:57:24.218Z] { \ [2026-01-10T18:57:24.218Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T18:57:24.218Z] echo "Nothing to be done for setup."; \ [2026-01-10T18:57:24.218Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17680643681164/renaissance-movie-lens_0"; \ [2026-01-10T18:57:24.218Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17680643681164/renaissance-movie-lens_0"; \ [2026-01-10T18:57:24.218Z] echo ""; echo "TESTING:"; \ [2026-01-10T18:57:24.218Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/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_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17680643681164/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T18:57:24.218Z] 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_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17680643681164/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T18:57:24.218Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T18:57:24.218Z] echo "Nothing to be done for teardown."; \ [2026-01-10T18:57:24.218Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17680643681164/TestTargetResult"; [2026-01-10T18:57:24.218Z] [2026-01-10T18:57:24.218Z] TEST SETUP: [2026-01-10T18:57:24.218Z] Nothing to be done for setup. [2026-01-10T18:57:24.218Z] [2026-01-10T18:57:24.218Z] TESTING: [2026-01-10T18:57:50.367Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T18:58:26.502Z] 13:58:20.812 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T18:58:31.360Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T18:58:33.950Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T18:58:33.950Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T18:58:35.152Z] GC before operation: completed in 1117.980 ms, heap usage 314.597 MB -> 74.623 MB. [2026-01-10T18:59:28.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T18:59:47.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:00:09.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:00:36.276Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:00:45.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:00:55.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:01:17.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:01:31.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:01:31.965Z] 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. [2026-01-10T19:01:32.490Z] The best model improves the baseline by 14.52%. [2026-01-10T19:01:33.774Z] Top recommended movies for user id 72: [2026-01-10T19:01:33.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:01:33.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:01:33.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:01:33.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:01:33.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:01:33.774Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (178951.933 ms) ====== [2026-01-10T19:01:33.774Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T19:01:34.890Z] GC before operation: completed in 1087.892 ms, heap usage 144.080 MB -> 88.195 MB. [2026-01-10T19:01:56.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:02:19.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:02:39.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:03:02.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:03:13.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:03:23.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:03:35.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:03:51.806Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:03:51.806Z] 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. [2026-01-10T19:03:51.806Z] The best model improves the baseline by 14.52%. [2026-01-10T19:03:52.910Z] Top recommended movies for user id 72: [2026-01-10T19:03:52.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:03:52.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:03:52.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:03:52.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:03:52.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:03:52.910Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (137563.647 ms) ====== [2026-01-10T19:03:52.910Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T19:03:53.570Z] GC before operation: completed in 777.962 ms, heap usage 300.504 MB -> 87.795 MB. [2026-01-10T19:04:16.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:04:35.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:04:57.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:05:20.186Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:05:28.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:05:36.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:05:48.357Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:05:57.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:06:02.863Z] 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. [2026-01-10T19:06:03.524Z] The best model improves the baseline by 14.52%. [2026-01-10T19:06:06.651Z] Top recommended movies for user id 72: [2026-01-10T19:06:06.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:06:06.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:06:06.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:06:06.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:06:06.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:06:06.651Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (132831.539 ms) ====== [2026-01-10T19:06:06.651Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T19:06:08.528Z] GC before operation: completed in 2103.235 ms, heap usage 289.241 MB -> 88.442 MB. [2026-01-10T19:06:30.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:06:46.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:07:08.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:07:31.202Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:07:38.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:07:47.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:07:57.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:08:06.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:08:08.741Z] 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. [2026-01-10T19:08:09.251Z] The best model improves the baseline by 14.52%. [2026-01-10T19:08:09.912Z] Top recommended movies for user id 72: [2026-01-10T19:08:09.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:08:09.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:08:09.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:08:09.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:08:09.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:08:09.912Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (121310.277 ms) ====== [2026-01-10T19:08:09.912Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T19:08:10.531Z] GC before operation: completed in 1049.731 ms, heap usage 390.834 MB -> 88.832 MB. [2026-01-10T19:08:29.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:08:52.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:09:15.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:09:32.469Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:09:45.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:09:57.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:10:06.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:10:16.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:10:16.880Z] 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. [2026-01-10T19:10:17.373Z] The best model improves the baseline by 14.52%. [2026-01-10T19:10:18.725Z] Top recommended movies for user id 72: [2026-01-10T19:10:18.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:10:18.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:10:18.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:10:18.725Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:10:18.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:10:18.725Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (127957.190 ms) ====== [2026-01-10T19:10:18.725Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T19:10:19.210Z] GC before operation: completed in 432.963 ms, heap usage 348.140 MB -> 88.667 MB. [2026-01-10T19:10:38.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:11:05.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:11:19.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:11:41.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:11:50.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:12:02.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:12:12.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:12:23.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:12:24.126Z] 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. [2026-01-10T19:12:24.613Z] The best model improves the baseline by 14.52%. [2026-01-10T19:12:25.133Z] Top recommended movies for user id 72: [2026-01-10T19:12:25.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:12:25.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:12:25.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:12:25.133Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:12:25.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:12:25.133Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (125995.983 ms) ====== [2026-01-10T19:12:25.133Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T19:12:25.685Z] GC before operation: completed in 552.869 ms, heap usage 448.270 MB -> 89.172 MB. [2026-01-10T19:12:51.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:13:10.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:13:29.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:13:46.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:13:54.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:14:03.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:14:15.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:14:23.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:14:23.865Z] 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. [2026-01-10T19:14:23.865Z] The best model improves the baseline by 14.52%. [2026-01-10T19:14:24.326Z] Top recommended movies for user id 72: [2026-01-10T19:14:24.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:14:24.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:14:24.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:14:24.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:14:24.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:14:24.326Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (118723.683 ms) ====== [2026-01-10T19:14:24.326Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T19:14:24.783Z] GC before operation: completed in 528.101 ms, heap usage 388.077 MB -> 89.024 MB. [2026-01-10T19:14:47.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:15:03.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:15:30.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:15:50.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:16:01.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:16:17.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:16:25.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:16:34.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:16:34.530Z] 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. [2026-01-10T19:16:34.530Z] The best model improves the baseline by 14.52%. [2026-01-10T19:16:34.530Z] Top recommended movies for user id 72: [2026-01-10T19:16:34.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:16:34.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:16:34.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:16:34.530Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:16:34.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:16:34.530Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (129691.238 ms) ====== [2026-01-10T19:16:34.530Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T19:16:35.111Z] GC before operation: completed in 459.193 ms, heap usage 701.485 MB -> 92.854 MB. [2026-01-10T19:16:54.141Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:17:12.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:17:30.760Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:17:46.208Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:17:57.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:18:05.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:18:17.543Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:18:26.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:18:28.065Z] 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. [2026-01-10T19:18:28.065Z] The best model improves the baseline by 14.52%. [2026-01-10T19:18:28.580Z] Top recommended movies for user id 72: [2026-01-10T19:18:28.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:18:28.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:18:28.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:18:28.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:18:28.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:18:28.580Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (113549.212 ms) ====== [2026-01-10T19:18:28.580Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T19:18:29.040Z] GC before operation: completed in 610.609 ms, heap usage 450.358 MB -> 89.180 MB. [2026-01-10T19:18:51.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:19:11.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:19:38.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:19:51.734Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:20:02.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:20:10.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:20:22.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:20:34.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:20:35.260Z] 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. [2026-01-10T19:20:35.260Z] The best model improves the baseline by 14.52%. [2026-01-10T19:20:35.777Z] Top recommended movies for user id 72: [2026-01-10T19:20:35.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:20:35.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:20:35.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:20:35.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:20:35.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:20:35.777Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (126337.231 ms) ====== [2026-01-10T19:20:35.777Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T19:20:36.412Z] GC before operation: completed in 460.718 ms, heap usage 622.488 MB -> 92.819 MB. [2026-01-10T19:20:58.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:21:13.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:21:32.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:21:46.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:22:00.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:22:10.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:22:30.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:22:36.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:22:36.648Z] 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. [2026-01-10T19:22:36.648Z] The best model improves the baseline by 14.52%. [2026-01-10T19:22:37.786Z] Top recommended movies for user id 72: [2026-01-10T19:22:37.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:22:37.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:22:37.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:22:37.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:22:37.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:22:37.786Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (121764.681 ms) ====== [2026-01-10T19:22:37.786Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T19:22:38.332Z] GC before operation: completed in 476.992 ms, heap usage 413.155 MB -> 89.009 MB. [2026-01-10T19:23:00.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:23:19.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:23:47.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:23:58.565Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:24:08.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:24:18.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:24:27.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:24:33.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:24:34.868Z] 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. [2026-01-10T19:24:34.868Z] The best model improves the baseline by 14.52%. [2026-01-10T19:24:35.384Z] Top recommended movies for user id 72: [2026-01-10T19:24:35.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:24:35.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:24:35.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:24:35.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:24:35.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:24:35.384Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (117302.212 ms) ====== [2026-01-10T19:24:35.384Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T19:24:36.501Z] GC before operation: completed in 1122.723 ms, heap usage 162.480 MB -> 92.370 MB. [2026-01-10T19:24:54.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:25:18.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:25:37.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:25:54.000Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:26:05.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:26:22.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:26:33.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:26:41.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:26:42.829Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T19:26:42.829Z] The best model improves the baseline by 14.52%. [2026-01-10T19:26:43.338Z] Top recommended movies for user id 72: [2026-01-10T19:26:43.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:26:43.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:26:43.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:26:43.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:26:43.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:26:43.338Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (126367.340 ms) ====== [2026-01-10T19:26:43.338Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T19:26:43.931Z] GC before operation: completed in 528.197 ms, heap usage 562.946 MB -> 92.773 MB. [2026-01-10T19:27:02.502Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:27:25.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:27:41.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:28:00.862Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:28:12.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:28:23.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:28:34.875Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:28:51.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:28:51.029Z] 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. [2026-01-10T19:28:51.029Z] The best model improves the baseline by 14.52%. [2026-01-10T19:28:51.029Z] Top recommended movies for user id 72: [2026-01-10T19:28:51.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:28:51.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:28:51.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:28:51.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:28:51.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:28:51.029Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (127537.481 ms) ====== [2026-01-10T19:28:51.029Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T19:28:51.564Z] GC before operation: completed in 464.688 ms, heap usage 703.488 MB -> 92.786 MB. [2026-01-10T19:29:10.236Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:29:29.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:29:42.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:29:58.047Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:30:07.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:30:16.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:30:28.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:30:39.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:30:39.867Z] 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. [2026-01-10T19:30:40.329Z] The best model improves the baseline by 14.52%. [2026-01-10T19:30:40.752Z] Top recommended movies for user id 72: [2026-01-10T19:30:40.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:30:40.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:30:40.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:30:40.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:30:40.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:30:40.752Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (108963.248 ms) ====== [2026-01-10T19:30:40.752Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T19:30:41.196Z] GC before operation: completed in 601.829 ms, heap usage 144.395 MB -> 92.284 MB. [2026-01-10T19:30:59.852Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:31:15.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:31:32.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:31:50.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:31:59.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:32:09.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:32:18.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:32:27.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:32:27.885Z] 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. [2026-01-10T19:32:27.885Z] The best model improves the baseline by 14.52%. [2026-01-10T19:32:29.809Z] Top recommended movies for user id 72: [2026-01-10T19:32:29.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:32:29.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:32:29.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:32:29.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:32:29.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:32:29.809Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (108705.968 ms) ====== [2026-01-10T19:32:29.809Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T19:32:30.254Z] GC before operation: completed in 531.709 ms, heap usage 161.070 MB -> 91.206 MB. [2026-01-10T19:32:52.386Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:33:08.259Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:33:27.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:33:43.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:33:56.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:34:02.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:34:14.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:34:31.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:34:32.495Z] 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. [2026-01-10T19:34:32.495Z] The best model improves the baseline by 14.52%. [2026-01-10T19:34:32.902Z] Top recommended movies for user id 72: [2026-01-10T19:34:32.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:34:32.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:34:32.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:34:32.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:34:32.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:34:32.902Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (122655.063 ms) ====== [2026-01-10T19:34:32.902Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T19:34:33.434Z] GC before operation: completed in 556.758 ms, heap usage 389.680 MB -> 89.313 MB. [2026-01-10T19:34:51.761Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:35:07.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:35:22.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:35:41.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:35:49.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:36:00.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:36:12.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:36:21.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:36:21.683Z] 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. [2026-01-10T19:36:21.683Z] The best model improves the baseline by 14.52%. [2026-01-10T19:36:22.272Z] Top recommended movies for user id 72: [2026-01-10T19:36:22.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:36:22.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:36:22.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:36:22.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:36:22.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:36:22.272Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (108388.388 ms) ====== [2026-01-10T19:36:22.272Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T19:36:23.439Z] GC before operation: completed in 1095.383 ms, heap usage 749.128 MB -> 92.820 MB. [2026-01-10T19:36:41.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:37:04.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:37:23.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:37:39.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:37:50.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:37:57.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:38:08.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:38:19.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:38:20.943Z] 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. [2026-01-10T19:38:21.573Z] The best model improves the baseline by 14.52%. [2026-01-10T19:38:22.058Z] Top recommended movies for user id 72: [2026-01-10T19:38:22.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:38:22.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:38:22.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:38:22.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:38:22.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:38:22.058Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (118825.932 ms) ====== [2026-01-10T19:38:22.058Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T19:38:22.675Z] GC before operation: completed in 564.067 ms, heap usage 287.145 MB -> 89.117 MB. [2026-01-10T19:38:41.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:38:56.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:39:23.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:39:36.266Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:39:43.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:39:59.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:40:14.315Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:40:23.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:40:24.323Z] 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. [2026-01-10T19:40:24.323Z] The best model improves the baseline by 14.52%. [2026-01-10T19:40:25.882Z] Top recommended movies for user id 72: [2026-01-10T19:40:25.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:40:25.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:40:25.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:40:25.882Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:40:25.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:40:25.882Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (122566.226 ms) ====== [2026-01-10T19:40:34.858Z] ----------------------------------- [2026-01-10T19:40:34.858Z] renaissance-movie-lens_0_PASSED [2026-01-10T19:40:34.858Z] ----------------------------------- [2026-01-10T19:40:35.277Z] [2026-01-10T19:40:35.277Z] TEST TEARDOWN: [2026-01-10T19:40:35.277Z] Nothing to be done for teardown. [2026-01-10T19:40:35.744Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 14:40:35 2026 Epoch Time (ms): 1768074035504