[2026-01-10T05:05:37.301Z] Running test renaissance-movie-lens_0 ... [2026-01-10T05:05:37.301Z] =============================================== [2026-01-10T05:05:37.301Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 05:05:36 2026 Epoch Time (ms): 1768021536703 [2026-01-10T05:05:37.301Z] variation: NoOptions [2026-01-10T05:05:37.301Z] JVM_OPTIONS: [2026-01-10T05:05:37.301Z] { \ [2026-01-10T05:05:37.301Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T05:05:37.301Z] echo "Nothing to be done for setup."; \ [2026-01-10T05:05:37.301Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17680197209896/renaissance-movie-lens_0"; \ [2026-01-10T05:05:37.301Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17680197209896/renaissance-movie-lens_0"; \ [2026-01-10T05:05:37.301Z] echo ""; echo "TESTING:"; \ [2026-01-10T05:05:37.301Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17680197209896/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T05:05:37.301Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17680197209896/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T05:05:37.301Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T05:05:37.301Z] echo "Nothing to be done for teardown."; \ [2026-01-10T05:05:37.301Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17680197209896/TestTargetResult"; [2026-01-10T05:05:37.301Z] [2026-01-10T05:05:37.301Z] TEST SETUP: [2026-01-10T05:05:37.301Z] Nothing to be done for setup. [2026-01-10T05:05:37.301Z] [2026-01-10T05:05:37.301Z] TESTING: [2026-01-10T05:05:41.006Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-10T05:05:46.803Z] 05:05:45.984 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T05:05:48.818Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T05:05:49.444Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T05:05:49.444Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T05:05:49.444Z] GC before operation: completed in 142.340 ms, heap usage 246.717 MB -> 75.509 MB. [2026-01-10T05:05:54.137Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:05:57.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:06:00.739Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:06:03.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:06:04.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:06:06.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:06:08.934Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:06:10.238Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:06:10.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:06:10.867Z] The best model improves the baseline by 14.34%. [2026-01-10T05:06:10.867Z] Top recommended movies for user id 72: [2026-01-10T05:06:10.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:06:10.867Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:06:10.867Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:06:10.867Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:06:10.867Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:06:10.867Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21458.425 ms) ====== [2026-01-10T05:06:10.867Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T05:06:10.867Z] GC before operation: completed in 187.756 ms, heap usage 183.436 MB -> 100.944 MB. [2026-01-10T05:06:14.092Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:06:16.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:06:19.771Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:06:21.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:06:23.085Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:06:25.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:06:26.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:06:27.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:06:28.330Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:06:28.330Z] The best model improves the baseline by 14.34%. [2026-01-10T05:06:28.330Z] Top recommended movies for user id 72: [2026-01-10T05:06:28.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:06:28.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:06:28.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:06:28.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:06:28.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:06:28.330Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17079.277 ms) ====== [2026-01-10T05:06:28.330Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T05:06:28.330Z] GC before operation: completed in 156.906 ms, heap usage 190.901 MB -> 87.697 MB. [2026-01-10T05:06:31.136Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:06:33.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:06:35.959Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:06:37.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:06:39.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:06:40.563Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:06:42.584Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:06:43.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:06:43.872Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:06:43.872Z] The best model improves the baseline by 14.34%. [2026-01-10T05:06:43.872Z] Top recommended movies for user id 72: [2026-01-10T05:06:43.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:06:43.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:06:43.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:06:43.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:06:43.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:06:43.872Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15590.824 ms) ====== [2026-01-10T05:06:43.872Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T05:06:43.872Z] GC before operation: completed in 113.793 ms, heap usage 231.782 MB -> 88.474 MB. [2026-01-10T05:06:45.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:06:48.749Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:06:52.000Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:06:54.034Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:06:54.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:06:56.662Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:06:57.962Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:06:59.246Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:06:59.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:06:59.864Z] The best model improves the baseline by 14.34%. [2026-01-10T05:06:59.864Z] Top recommended movies for user id 72: [2026-01-10T05:06:59.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:06:59.864Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:06:59.864Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:06:59.864Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:06:59.864Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:06:59.864Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15830.712 ms) ====== [2026-01-10T05:06:59.865Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T05:06:59.865Z] GC before operation: completed in 143.687 ms, heap usage 236.870 MB -> 91.011 MB. [2026-01-10T05:07:02.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:07:04.813Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:07:07.626Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:07:10.436Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:07:11.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:07:13.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:07:14.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:07:15.621Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:07:16.246Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:07:16.246Z] The best model improves the baseline by 14.34%. [2026-01-10T05:07:16.246Z] Top recommended movies for user id 72: [2026-01-10T05:07:16.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:07:16.246Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:07:16.246Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:07:16.246Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:07:16.246Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:07:16.246Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16156.218 ms) ====== [2026-01-10T05:07:16.246Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T05:07:16.246Z] GC before operation: completed in 96.220 ms, heap usage 307.500 MB -> 88.863 MB. [2026-01-10T05:07:18.288Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:07:21.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:07:24.008Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:07:26.062Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:07:27.871Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:07:29.168Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:07:30.452Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:07:32.466Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:07:32.466Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:07:32.466Z] The best model improves the baseline by 14.34%. [2026-01-10T05:07:32.466Z] Top recommended movies for user id 72: [2026-01-10T05:07:32.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:07:32.466Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:07:32.466Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:07:32.466Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:07:32.466Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:07:32.466Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16223.180 ms) ====== [2026-01-10T05:07:32.466Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T05:07:32.466Z] GC before operation: completed in 182.610 ms, heap usage 207.645 MB -> 92.157 MB. [2026-01-10T05:07:35.285Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:07:38.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:07:40.919Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:07:42.988Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:07:45.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:07:46.306Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:07:47.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:07:48.877Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:07:49.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:07:49.523Z] The best model improves the baseline by 14.34%. [2026-01-10T05:07:49.523Z] Top recommended movies for user id 72: [2026-01-10T05:07:49.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:07:49.523Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:07:49.523Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:07:49.523Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:07:49.523Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:07:49.523Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16769.288 ms) ====== [2026-01-10T05:07:49.523Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T05:07:49.523Z] GC before operation: completed in 170.443 ms, heap usage 160.624 MB -> 94.653 MB. [2026-01-10T05:07:52.361Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:07:54.385Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:07:57.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:07:59.228Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:08:00.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:08:01.838Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:08:03.872Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:08:04.856Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:08:04.856Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:08:05.496Z] The best model improves the baseline by 14.34%. [2026-01-10T05:08:05.496Z] Top recommended movies for user id 72: [2026-01-10T05:08:05.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:08:05.496Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:08:05.496Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:08:05.496Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:08:05.496Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:08:05.496Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15662.043 ms) ====== [2026-01-10T05:08:05.496Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T05:08:05.496Z] GC before operation: completed in 214.143 ms, heap usage 229.287 MB -> 89.387 MB. [2026-01-10T05:08:08.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:08:10.421Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:08:13.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:08:16.116Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:08:18.152Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:08:19.442Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:08:21.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:08:22.760Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:08:22.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:08:22.760Z] The best model improves the baseline by 14.34%. [2026-01-10T05:08:23.382Z] Top recommended movies for user id 72: [2026-01-10T05:08:23.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:08:23.382Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:08:23.382Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:08:23.382Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:08:23.382Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:08:23.382Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17777.394 ms) ====== [2026-01-10T05:08:23.382Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T05:08:23.382Z] GC before operation: completed in 188.196 ms, heap usage 135.497 MB -> 91.083 MB. [2026-01-10T05:08:26.212Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:08:29.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:08:32.745Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:08:34.770Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:08:36.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:08:38.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:08:39.378Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:08:40.664Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:08:41.283Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:08:41.283Z] The best model improves the baseline by 14.34%. [2026-01-10T05:08:41.283Z] Top recommended movies for user id 72: [2026-01-10T05:08:41.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:08:41.283Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:08:41.283Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:08:41.283Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:08:41.283Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:08:41.283Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17965.520 ms) ====== [2026-01-10T05:08:41.283Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T05:08:41.283Z] GC before operation: completed in 131.883 ms, heap usage 213.107 MB -> 89.156 MB. [2026-01-10T05:08:44.113Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:08:46.497Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:08:48.525Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:08:50.562Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:08:52.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:08:53.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:08:55.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:08:56.451Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:08:56.451Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:08:56.451Z] The best model improves the baseline by 14.34%. [2026-01-10T05:08:57.071Z] Top recommended movies for user id 72: [2026-01-10T05:08:57.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:08:57.071Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:08:57.071Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:08:57.071Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:08:57.071Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:08:57.071Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15227.479 ms) ====== [2026-01-10T05:08:57.071Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T05:08:57.071Z] GC before operation: completed in 156.227 ms, heap usage 247.466 MB -> 90.786 MB. [2026-01-10T05:08:59.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:09:01.175Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:09:04.057Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:09:06.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:09:08.121Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:09:09.430Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:09:10.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:09:12.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:09:12.057Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:09:12.057Z] The best model improves the baseline by 14.34%. [2026-01-10T05:09:12.694Z] Top recommended movies for user id 72: [2026-01-10T05:09:12.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:09:12.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:09:12.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:09:12.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:09:12.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:09:12.694Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15440.455 ms) ====== [2026-01-10T05:09:12.694Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T05:09:12.694Z] GC before operation: completed in 151.199 ms, heap usage 238.534 MB -> 89.254 MB. [2026-01-10T05:09:14.708Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:09:17.552Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:09:19.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:09:21.747Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:09:23.769Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:09:25.056Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:09:26.345Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:09:27.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:09:28.259Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:09:28.259Z] The best model improves the baseline by 14.34%. [2026-01-10T05:09:28.259Z] Top recommended movies for user id 72: [2026-01-10T05:09:28.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:09:28.259Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:09:28.259Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:09:28.259Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:09:28.259Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:09:28.259Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15728.915 ms) ====== [2026-01-10T05:09:28.259Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T05:09:28.259Z] GC before operation: completed in 163.366 ms, heap usage 255.211 MB -> 89.417 MB. [2026-01-10T05:09:31.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:09:33.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:09:35.122Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:09:37.149Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:09:39.162Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:09:40.442Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:09:41.740Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:09:43.023Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:09:43.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:09:43.023Z] The best model improves the baseline by 14.34%. [2026-01-10T05:09:43.023Z] Top recommended movies for user id 72: [2026-01-10T05:09:43.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:09:43.023Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:09:43.023Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:09:43.023Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:09:43.023Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:09:43.023Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14602.271 ms) ====== [2026-01-10T05:09:43.023Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T05:09:43.023Z] GC before operation: completed in 122.574 ms, heap usage 387.019 MB -> 89.408 MB. [2026-01-10T05:09:45.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:09:47.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:09:49.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:09:51.989Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:09:53.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:09:54.571Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:09:55.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:09:57.365Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:09:57.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:09:57.989Z] The best model improves the baseline by 14.34%. [2026-01-10T05:09:57.989Z] Top recommended movies for user id 72: [2026-01-10T05:09:57.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:09:57.989Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:09:57.989Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:09:57.989Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:09:57.989Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:09:57.989Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14649.066 ms) ====== [2026-01-10T05:09:57.989Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T05:09:57.989Z] GC before operation: completed in 170.709 ms, heap usage 166.824 MB -> 89.329 MB. [2026-01-10T05:10:00.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:10:02.875Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:10:04.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:10:06.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:10:08.277Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:10:09.565Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:10:11.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:10:12.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:10:12.912Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:10:12.912Z] The best model improves the baseline by 14.34%. [2026-01-10T05:10:13.534Z] Top recommended movies for user id 72: [2026-01-10T05:10:13.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:10:13.534Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:10:13.534Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:10:13.534Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:10:13.534Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:10:13.534Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15293.527 ms) ====== [2026-01-10T05:10:13.534Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T05:10:13.534Z] GC before operation: completed in 161.015 ms, heap usage 230.864 MB -> 91.426 MB. [2026-01-10T05:10:16.422Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:10:18.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:10:21.331Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:10:23.392Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:10:24.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:10:26.112Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:10:28.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:10:29.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:10:29.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:10:29.495Z] The best model improves the baseline by 14.34%. [2026-01-10T05:10:29.495Z] Top recommended movies for user id 72: [2026-01-10T05:10:29.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:10:29.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:10:29.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:10:29.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:10:29.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:10:29.496Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16221.320 ms) ====== [2026-01-10T05:10:29.496Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T05:10:29.496Z] GC before operation: completed in 133.963 ms, heap usage 236.820 MB -> 89.307 MB. [2026-01-10T05:10:31.518Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:10:34.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:10:36.782Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:10:38.937Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:10:40.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:10:42.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:10:43.613Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:10:44.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:10:44.907Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:10:44.907Z] The best model improves the baseline by 14.34%. [2026-01-10T05:10:45.526Z] Top recommended movies for user id 72: [2026-01-10T05:10:45.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:10:45.526Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:10:45.526Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:10:45.526Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:10:45.526Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:10:45.526Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15485.125 ms) ====== [2026-01-10T05:10:45.526Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T05:10:45.526Z] GC before operation: completed in 138.510 ms, heap usage 232.274 MB -> 89.141 MB. [2026-01-10T05:10:47.564Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:10:50.398Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:10:52.441Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:10:54.486Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:10:55.780Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:10:57.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:10:59.151Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:11:00.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:11:01.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:11:01.169Z] The best model improves the baseline by 14.34%. [2026-01-10T05:11:01.169Z] Top recommended movies for user id 72: [2026-01-10T05:11:01.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:11:01.169Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:11:01.169Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:11:01.169Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:11:01.169Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:11:01.169Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15720.255 ms) ====== [2026-01-10T05:11:01.169Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T05:11:01.169Z] GC before operation: completed in 144.048 ms, heap usage 162.231 MB -> 89.066 MB. [2026-01-10T05:11:04.053Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:11:06.226Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:11:08.425Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:11:11.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:11:12.591Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:11:13.901Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:11:16.013Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:11:17.409Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:11:17.409Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:11:17.409Z] The best model improves the baseline by 14.34%. [2026-01-10T05:11:18.056Z] Top recommended movies for user id 72: [2026-01-10T05:11:18.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:11:18.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:11:18.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:11:18.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:11:18.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:11:18.056Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16558.703 ms) ====== [2026-01-10T05:11:18.056Z] ----------------------------------- [2026-01-10T05:11:18.056Z] renaissance-movie-lens_0_PASSED [2026-01-10T05:11:18.056Z] ----------------------------------- [2026-01-10T05:11:18.056Z] [2026-01-10T05:11:18.056Z] TEST TEARDOWN: [2026-01-10T05:11:18.056Z] Nothing to be done for teardown. [2026-01-10T05:11:18.056Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 05:11:17 2026 Epoch Time (ms): 1768021877927