[2025-08-31T09:45:50.589Z] Running test renaissance-movie-lens_0 ... [2025-08-31T09:45:50.589Z] =============================================== [2025-08-31T09:45:50.589Z] renaissance-movie-lens_0 Start Time: Sun Aug 31 09:45:49 2025 Epoch Time (ms): 1756633549852 [2025-08-31T09:45:50.589Z] variation: NoOptions [2025-08-31T09:45:50.589Z] JVM_OPTIONS: [2025-08-31T09:45:50.589Z] { \ [2025-08-31T09:45:50.589Z] echo ""; echo "TEST SETUP:"; \ [2025-08-31T09:45:50.589Z] echo "Nothing to be done for setup."; \ [2025-08-31T09:45:50.589Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17566292633759/renaissance-movie-lens_0"; \ [2025-08-31T09:45:50.589Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17566292633759/renaissance-movie-lens_0"; \ [2025-08-31T09:45:50.589Z] echo ""; echo "TESTING:"; \ [2025-08-31T09:45:50.589Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/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_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17566292633759/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-31T09:45:50.589Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17566292633759/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-31T09:45:50.590Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-31T09:45:50.590Z] echo "Nothing to be done for teardown."; \ [2025-08-31T09:45:50.590Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17566292633759/TestTargetResult"; [2025-08-31T09:45:50.590Z] [2025-08-31T09:45:50.590Z] TEST SETUP: [2025-08-31T09:45:50.590Z] Nothing to be done for setup. [2025-08-31T09:45:50.590Z] [2025-08-31T09:45:50.590Z] TESTING: [2025-08-31T09:46:13.619Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-31T09:46:46.977Z] 09:46:45.162 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. [2025-08-31T09:46:57.912Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-31T09:46:59.053Z] Training: 60056, validation: 20285, test: 19854 [2025-08-31T09:46:59.053Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-31T09:46:59.778Z] GC before operation: completed in 611.367 ms, heap usage 410.965 MB -> 76.298 MB. [2025-08-31T09:47:27.570Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:47:46.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:47:59.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:48:13.071Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:48:20.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:48:27.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:48:34.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:48:40.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:48:41.569Z] 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. [2025-08-31T09:48:41.897Z] The best model improves the baseline by 14.52%. [2025-08-31T09:48:43.052Z] Top recommended movies for user id 72: [2025-08-31T09:48:43.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:48:43.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:48:43.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:48:43.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:48:43.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:48:43.052Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (103222.964 ms) ====== [2025-08-31T09:48:43.052Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-31T09:48:44.230Z] GC before operation: completed in 1185.941 ms, heap usage 1.019 GB -> 94.150 MB. [2025-08-31T09:48:57.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:49:08.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:49:18.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:49:29.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:49:35.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:49:41.674Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:49:48.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:49:54.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:49:54.810Z] 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. [2025-08-31T09:49:55.135Z] The best model improves the baseline by 14.52%. [2025-08-31T09:49:55.851Z] Top recommended movies for user id 72: [2025-08-31T09:49:55.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:49:55.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:49:55.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:49:55.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:49:55.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:49:55.851Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (71477.940 ms) ====== [2025-08-31T09:49:55.851Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-31T09:49:57.013Z] GC before operation: completed in 1073.307 ms, heap usage 944.721 MB -> 93.676 MB. [2025-08-31T09:50:07.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:50:18.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:50:27.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:50:36.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:50:42.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:50:48.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:50:54.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:50:58.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:51:00.131Z] 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. [2025-08-31T09:51:00.131Z] The best model improves the baseline by 14.52%. [2025-08-31T09:51:00.835Z] Top recommended movies for user id 72: [2025-08-31T09:51:00.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:51:00.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:51:00.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:51:00.835Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:51:00.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:51:00.835Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64169.698 ms) ====== [2025-08-31T09:51:00.835Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-31T09:51:02.016Z] GC before operation: completed in 978.175 ms, heap usage 129.888 MB -> 89.740 MB. [2025-08-31T09:51:12.822Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:51:21.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:51:30.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:51:39.511Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:51:45.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:51:51.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:51:57.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:52:03.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:52:03.126Z] 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. [2025-08-31T09:52:03.454Z] The best model improves the baseline by 14.52%. [2025-08-31T09:52:04.159Z] Top recommended movies for user id 72: [2025-08-31T09:52:04.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:52:04.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:52:04.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:52:04.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:52:04.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:52:04.159Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (62305.333 ms) ====== [2025-08-31T09:52:04.159Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-31T09:52:05.317Z] GC before operation: completed in 1009.095 ms, heap usage 291.837 MB -> 90.277 MB. [2025-08-31T09:52:16.114Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:52:24.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:52:33.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:52:42.731Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:52:47.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:52:53.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:52:59.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:53:04.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:53:04.805Z] 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. [2025-08-31T09:53:05.132Z] The best model improves the baseline by 14.52%. [2025-08-31T09:53:05.850Z] Top recommended movies for user id 72: [2025-08-31T09:53:05.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:53:05.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:53:05.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:53:05.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:53:05.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:53:05.850Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60455.055 ms) ====== [2025-08-31T09:53:05.850Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-31T09:53:06.576Z] GC before operation: completed in 864.095 ms, heap usage 531.605 MB -> 90.537 MB. [2025-08-31T09:53:17.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:53:24.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:53:33.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:53:42.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:53:47.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:53:51.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:53:57.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:54:03.966Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:54:03.966Z] 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. [2025-08-31T09:54:04.294Z] The best model improves the baseline by 14.52%. [2025-08-31T09:54:04.996Z] Top recommended movies for user id 72: [2025-08-31T09:54:04.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:54:04.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:54:04.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:54:04.996Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:54:04.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:54:04.996Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58362.232 ms) ====== [2025-08-31T09:54:04.996Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-31T09:54:05.731Z] GC before operation: completed in 733.959 ms, heap usage 295.479 MB -> 90.694 MB. [2025-08-31T09:54:16.521Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:54:23.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:54:32.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:54:40.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:54:45.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:54:50.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:54:55.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:55:01.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:55:01.312Z] 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. [2025-08-31T09:55:01.638Z] The best model improves the baseline by 14.52%. [2025-08-31T09:55:02.361Z] Top recommended movies for user id 72: [2025-08-31T09:55:02.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:55:02.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:55:02.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:55:02.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:55:02.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:55:02.361Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (56525.292 ms) ====== [2025-08-31T09:55:02.361Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-31T09:55:03.080Z] GC before operation: completed in 768.526 ms, heap usage 798.157 MB -> 94.435 MB. [2025-08-31T09:55:11.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:55:20.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:55:29.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:55:37.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:55:42.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:55:47.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:55:52.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:55:58.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:55:58.691Z] 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. [2025-08-31T09:55:58.691Z] The best model improves the baseline by 14.52%. [2025-08-31T09:55:59.393Z] Top recommended movies for user id 72: [2025-08-31T09:55:59.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:55:59.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:55:59.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:55:59.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:55:59.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:55:59.393Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56395.983 ms) ====== [2025-08-31T09:55:59.393Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-31T09:56:00.101Z] GC before operation: completed in 820.293 ms, heap usage 534.944 MB -> 91.129 MB. [2025-08-31T09:56:08.968Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:56:17.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:56:26.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:56:34.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:56:40.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:56:44.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:56:49.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:56:55.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:56:55.519Z] 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. [2025-08-31T09:56:55.856Z] The best model improves the baseline by 14.52%. [2025-08-31T09:56:56.562Z] Top recommended movies for user id 72: [2025-08-31T09:56:56.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:56:56.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:56:56.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:56:56.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:56:56.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:56:56.562Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (56453.504 ms) ====== [2025-08-31T09:56:56.562Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-31T09:56:57.285Z] GC before operation: completed in 733.668 ms, heap usage 514.396 MB -> 90.916 MB. [2025-08-31T09:57:06.153Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:57:15.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:57:23.898Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:57:32.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:57:36.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:57:42.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:57:47.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:57:52.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:57:53.143Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-31T09:57:53.143Z] The best model improves the baseline by 14.52%. [2025-08-31T09:57:53.864Z] Top recommended movies for user id 72: [2025-08-31T09:57:53.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:57:53.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:57:53.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:57:53.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:57:53.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:57:53.864Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (56352.492 ms) ====== [2025-08-31T09:57:53.864Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-31T09:57:54.573Z] GC before operation: completed in 683.598 ms, heap usage 125.501 MB -> 91.329 MB. [2025-08-31T09:58:03.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:58:12.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:58:19.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:58:26.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:58:32.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:58:37.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:58:42.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:58:47.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:58:48.324Z] 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. [2025-08-31T09:58:48.324Z] The best model improves the baseline by 14.52%. [2025-08-31T09:58:49.027Z] Top recommended movies for user id 72: [2025-08-31T09:58:49.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:58:49.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:58:49.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:58:49.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:58:49.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:58:49.027Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54664.734 ms) ====== [2025-08-31T09:58:49.027Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-31T09:58:49.754Z] GC before operation: completed in 738.466 ms, heap usage 779.243 MB -> 94.424 MB. [2025-08-31T09:58:58.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T09:59:07.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T09:59:14.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T09:59:23.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T09:59:29.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T09:59:35.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T09:59:40.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T09:59:46.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T09:59:46.458Z] 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. [2025-08-31T09:59:46.786Z] The best model improves the baseline by 14.52%. [2025-08-31T09:59:47.515Z] Top recommended movies for user id 72: [2025-08-31T09:59:47.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T09:59:47.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T09:59:47.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T09:59:47.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T09:59:47.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T09:59:47.515Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57585.501 ms) ====== [2025-08-31T09:59:47.515Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-31T09:59:48.227Z] GC before operation: completed in 656.473 ms, heap usage 109.318 MB -> 90.589 MB. [2025-08-31T09:59:57.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:00:06.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:00:14.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:00:23.782Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:00:29.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:00:34.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:00:40.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:00:46.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:00:47.165Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-31T10:00:47.165Z] The best model improves the baseline by 14.52%. [2025-08-31T10:00:47.866Z] Top recommended movies for user id 72: [2025-08-31T10:00:47.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:00:47.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:00:47.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:00:47.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:00:47.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:00:47.866Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (59902.833 ms) ====== [2025-08-31T10:00:47.866Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-31T10:00:48.592Z] GC before operation: completed in 651.652 ms, heap usage 255.111 MB -> 90.896 MB. [2025-08-31T10:00:57.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:01:06.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:01:15.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:01:22.490Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:01:27.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:01:31.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:01:37.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:01:43.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:01:43.737Z] 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. [2025-08-31T10:01:44.064Z] The best model improves the baseline by 14.52%. [2025-08-31T10:01:44.809Z] Top recommended movies for user id 72: [2025-08-31T10:01:44.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:01:44.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:01:44.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:01:44.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:01:44.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:01:44.809Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (56091.633 ms) ====== [2025-08-31T10:01:44.809Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-31T10:01:45.577Z] GC before operation: completed in 710.980 ms, heap usage 164.651 MB -> 90.573 MB. [2025-08-31T10:01:54.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:02:03.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:02:10.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:02:19.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:02:23.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:02:29.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:02:33.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:02:39.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:02:40.455Z] 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. [2025-08-31T10:02:40.455Z] The best model improves the baseline by 14.52%. [2025-08-31T10:02:41.162Z] Top recommended movies for user id 72: [2025-08-31T10:02:41.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:02:41.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:02:41.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:02:41.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:02:41.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:02:41.162Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55768.441 ms) ====== [2025-08-31T10:02:41.162Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-31T10:02:41.867Z] GC before operation: completed in 668.387 ms, heap usage 156.048 MB -> 90.722 MB. [2025-08-31T10:02:50.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:02:59.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:03:06.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:03:15.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:03:19.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:03:25.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:03:31.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:03:36.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:03:36.422Z] 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. [2025-08-31T10:03:36.422Z] The best model improves the baseline by 14.52%. [2025-08-31T10:03:37.140Z] Top recommended movies for user id 72: [2025-08-31T10:03:37.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:03:37.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:03:37.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:03:37.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:03:37.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:03:37.140Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55169.308 ms) ====== [2025-08-31T10:03:37.140Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-31T10:03:37.855Z] GC before operation: completed in 708.351 ms, heap usage 534.320 MB -> 91.079 MB. [2025-08-31T10:03:46.774Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:03:55.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:04:02.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:04:10.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:04:16.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:04:19.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:04:25.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:04:30.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:04:30.922Z] 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. [2025-08-31T10:04:30.922Z] The best model improves the baseline by 14.52%. [2025-08-31T10:04:31.630Z] Top recommended movies for user id 72: [2025-08-31T10:04:31.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:04:31.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:04:31.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:04:31.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:04:31.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:04:31.630Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54032.561 ms) ====== [2025-08-31T10:04:31.630Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-31T10:04:32.365Z] GC before operation: completed in 705.023 ms, heap usage 723.704 MB -> 94.621 MB. [2025-08-31T10:04:41.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:04:50.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:04:57.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:05:06.333Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:05:11.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:05:16.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:05:21.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:05:27.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:05:28.287Z] 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. [2025-08-31T10:05:28.287Z] The best model improves the baseline by 14.52%. [2025-08-31T10:05:28.994Z] Top recommended movies for user id 72: [2025-08-31T10:05:28.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:05:28.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:05:28.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:05:28.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:05:28.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:05:28.994Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56614.566 ms) ====== [2025-08-31T10:05:28.994Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-31T10:05:29.719Z] GC before operation: completed in 661.293 ms, heap usage 304.295 MB -> 90.742 MB. [2025-08-31T10:05:38.722Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:05:47.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:05:56.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:06:05.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:06:10.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:06:16.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:06:20.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:06:26.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:06:27.544Z] 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. [2025-08-31T10:06:27.869Z] The best model improves the baseline by 14.52%. [2025-08-31T10:06:28.571Z] Top recommended movies for user id 72: [2025-08-31T10:06:28.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:06:28.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:06:28.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:06:28.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:06:28.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:06:28.572Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (58776.240 ms) ====== [2025-08-31T10:06:28.572Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-31T10:06:29.288Z] GC before operation: completed in 681.373 ms, heap usage 381.678 MB -> 90.955 MB. [2025-08-31T10:06:38.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-31T10:06:47.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-31T10:06:56.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-31T10:07:04.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-31T10:07:09.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-31T10:07:14.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-31T10:07:20.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-31T10:07:25.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-31T10:07:26.147Z] 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. [2025-08-31T10:07:26.147Z] The best model improves the baseline by 14.52%. [2025-08-31T10:07:26.871Z] Top recommended movies for user id 72: [2025-08-31T10:07:26.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-31T10:07:26.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-31T10:07:26.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-31T10:07:26.871Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-31T10:07:26.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-31T10:07:26.871Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57685.702 ms) ====== [2025-08-31T10:07:30.656Z] ----------------------------------- [2025-08-31T10:07:30.656Z] renaissance-movie-lens_0_PASSED [2025-08-31T10:07:30.656Z] ----------------------------------- [2025-08-31T10:07:30.656Z] [2025-08-31T10:07:30.656Z] TEST TEARDOWN: [2025-08-31T10:07:30.656Z] Nothing to be done for teardown. [2025-08-31T10:07:30.656Z] renaissance-movie-lens_0 Finish Time: Sun Aug 31 10:07:30 2025 Epoch Time (ms): 1756634850491