[2026-02-12T03:42:16.124Z] Running test renaissance-movie-lens_0 ... [2026-02-12T03:42:16.124Z] =============================================== [2026-02-12T03:42:17.000Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 22:42:16 2026 Epoch Time (ms): 1770867736417 [2026-02-12T03:42:17.000Z] variation: NoOptions [2026-02-12T03:42:17.000Z] JVM_OPTIONS: [2026-02-12T03:42:17.000Z] { \ [2026-02-12T03:42:17.000Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T03:42:17.000Z] echo "Nothing to be done for setup."; \ [2026-02-12T03:42:17.000Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708668099272/renaissance-movie-lens_0"; \ [2026-02-12T03:42:17.000Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708668099272/renaissance-movie-lens_0"; \ [2026-02-12T03:42:17.000Z] echo ""; echo "TESTING:"; \ [2026-02-12T03:42:17.000Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708668099272/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T03:42:17.000Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708668099272/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T03:42:17.000Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T03:42:17.000Z] echo "Nothing to be done for teardown."; \ [2026-02-12T03:42:17.000Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708668099272/TestTargetResult"; [2026-02-12T03:42:17.000Z] [2026-02-12T03:42:17.000Z] TEST SETUP: [2026-02-12T03:42:17.000Z] Nothing to be done for setup. [2026-02-12T03:42:17.000Z] [2026-02-12T03:42:17.000Z] TESTING: [2026-02-12T03:42:38.180Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T03:42:59.334Z] 22:42:57.423 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T03:43:04.352Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T03:43:07.643Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T03:43:07.643Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T03:43:08.052Z] GC before operation: completed in 372.554 ms, heap usage 518.430 MB -> 75.203 MB. [2026-02-12T03:43:52.087Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:44:11.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:44:27.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:44:42.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:44:49.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:44:57.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:45:03.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:45:10.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:45:11.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:45:11.366Z] The best model improves the baseline by 14.52%. [2026-02-12T03:45:11.887Z] Top recommended movies for user id 72: [2026-02-12T03:45:11.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:45:11.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:45:11.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:45:11.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:45:11.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:45:11.887Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (123741.597 ms) ====== [2026-02-12T03:45:11.887Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T03:45:12.926Z] GC before operation: completed in 827.492 ms, heap usage 738.728 MB -> 92.037 MB. [2026-02-12T03:45:34.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:45:45.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:46:01.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:46:14.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:46:21.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:46:30.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:46:38.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:46:48.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:46:48.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:46:48.975Z] The best model improves the baseline by 14.52%. [2026-02-12T03:46:51.021Z] Top recommended movies for user id 72: [2026-02-12T03:46:51.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:46:51.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:46:51.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:46:51.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:46:51.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:46:51.021Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (97810.883 ms) ====== [2026-02-12T03:46:51.021Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T03:46:51.021Z] GC before operation: completed in 251.905 ms, heap usage 250.577 MB -> 91.725 MB. [2026-02-12T03:47:05.973Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:47:16.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:47:29.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:47:38.439Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:47:44.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:47:52.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:47:58.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:48:07.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:48:07.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:48:07.764Z] The best model improves the baseline by 14.52%. [2026-02-12T03:48:09.064Z] Top recommended movies for user id 72: [2026-02-12T03:48:09.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:48:09.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:48:09.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:48:09.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:48:09.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:48:09.064Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (78219.713 ms) ====== [2026-02-12T03:48:09.064Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T03:48:09.728Z] GC before operation: completed in 299.263 ms, heap usage 920.039 MB -> 93.016 MB. [2026-02-12T03:48:27.715Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:48:38.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:48:49.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:48:59.809Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:49:05.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:49:15.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:49:22.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:49:31.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:49:31.892Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:49:32.346Z] The best model improves the baseline by 14.52%. [2026-02-12T03:49:32.346Z] Top recommended movies for user id 72: [2026-02-12T03:49:32.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:49:32.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:49:32.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:49:32.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:49:32.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:49:32.346Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (83089.865 ms) ====== [2026-02-12T03:49:32.346Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T03:49:33.528Z] GC before operation: completed in 1071.094 ms, heap usage 1.091 GB -> 93.936 MB. [2026-02-12T03:49:49.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:50:04.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:50:15.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:50:34.251Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:50:38.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:50:43.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:50:49.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:50:56.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:50:57.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:50:57.004Z] The best model improves the baseline by 14.52%. [2026-02-12T03:50:57.473Z] Top recommended movies for user id 72: [2026-02-12T03:50:57.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:50:57.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:50:57.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:50:57.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:50:57.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:50:57.473Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (83778.701 ms) ====== [2026-02-12T03:50:57.473Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T03:50:57.942Z] GC before operation: completed in 358.187 ms, heap usage 901.821 MB -> 93.464 MB. [2026-02-12T03:51:10.292Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:51:23.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:51:33.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:51:42.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:51:49.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:51:53.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:52:04.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:52:11.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:52:11.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:52:11.688Z] The best model improves the baseline by 14.52%. [2026-02-12T03:52:12.409Z] Top recommended movies for user id 72: [2026-02-12T03:52:12.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:52:12.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:52:12.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:52:12.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:52:12.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:52:12.409Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (74398.494 ms) ====== [2026-02-12T03:52:12.409Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T03:52:12.873Z] GC before operation: completed in 920.649 ms, heap usage 209.103 MB -> 91.172 MB. [2026-02-12T03:52:26.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:52:36.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:52:52.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:53:02.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:53:08.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:53:14.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:53:20.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:53:27.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:53:27.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:53:27.331Z] The best model improves the baseline by 14.52%. [2026-02-12T03:53:27.877Z] Top recommended movies for user id 72: [2026-02-12T03:53:27.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:53:27.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:53:27.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:53:27.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:53:27.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:53:27.877Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (74753.804 ms) ====== [2026-02-12T03:53:27.877Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T03:53:28.830Z] GC before operation: completed in 860.562 ms, heap usage 321.233 MB -> 89.224 MB. [2026-02-12T03:53:41.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:53:52.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:54:03.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:54:14.569Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:54:20.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:54:28.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:54:34.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:54:43.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:54:44.746Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:54:44.746Z] The best model improves the baseline by 14.52%. [2026-02-12T03:54:45.175Z] Top recommended movies for user id 72: [2026-02-12T03:54:45.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:54:45.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:54:45.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:54:45.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:54:45.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:54:45.175Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (76417.825 ms) ====== [2026-02-12T03:54:45.175Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T03:54:45.175Z] GC before operation: completed in 271.023 ms, heap usage 420.307 MB -> 89.639 MB. [2026-02-12T03:55:03.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:55:22.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:55:33.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:55:46.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:55:54.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:56:00.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:56:09.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:56:17.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:56:18.833Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:56:18.833Z] The best model improves the baseline by 14.52%. [2026-02-12T03:56:19.418Z] Top recommended movies for user id 72: [2026-02-12T03:56:19.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:56:19.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:56:19.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:56:19.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:56:19.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:56:19.418Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (93790.289 ms) ====== [2026-02-12T03:56:19.418Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T03:56:19.418Z] GC before operation: completed in 312.890 ms, heap usage 615.373 MB -> 92.882 MB. [2026-02-12T03:56:39.144Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:56:54.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:57:06.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:57:15.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:57:21.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:57:27.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:57:35.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:57:41.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:57:42.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:57:42.867Z] The best model improves the baseline by 14.52%. [2026-02-12T03:57:42.867Z] Top recommended movies for user id 72: [2026-02-12T03:57:42.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:57:42.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:57:42.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:57:42.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:57:42.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:57:42.867Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (83586.762 ms) ====== [2026-02-12T03:57:42.867Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T03:57:43.889Z] GC before operation: completed in 647.064 ms, heap usage 527.713 MB -> 93.280 MB. [2026-02-12T03:57:56.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:58:07.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:58:21.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:58:30.372Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:58:37.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:58:44.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:58:52.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:58:59.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:59:00.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T03:59:00.543Z] The best model improves the baseline by 14.52%. [2026-02-12T03:59:01.657Z] Top recommended movies for user id 72: [2026-02-12T03:59:01.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:59:01.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:59:01.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:59:01.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:59:01.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:59:01.657Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (77712.227 ms) ====== [2026-02-12T03:59:01.657Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T03:59:01.657Z] GC before operation: completed in 363.044 ms, heap usage 147.908 MB -> 93.772 MB. [2026-02-12T03:59:14.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:59:27.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:59:40.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:59:51.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:59:59.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:00:03.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:00:10.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:00:18.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:00:18.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:00:18.442Z] The best model improves the baseline by 14.52%. [2026-02-12T04:00:18.916Z] Top recommended movies for user id 72: [2026-02-12T04:00:18.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:00:18.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:00:18.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:00:18.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:00:18.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:00:18.916Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (77020.257 ms) ====== [2026-02-12T04:00:18.916Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T04:00:18.916Z] GC before operation: completed in 351.589 ms, heap usage 173.554 MB -> 93.235 MB. [2026-02-12T04:00:34.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:00:47.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:01:01.064Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:01:11.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:01:18.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:01:25.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:01:31.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:01:39.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:01:41.038Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:01:41.038Z] The best model improves the baseline by 14.52%. [2026-02-12T04:01:42.121Z] Top recommended movies for user id 72: [2026-02-12T04:01:42.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:01:42.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:01:42.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:01:42.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:01:42.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:01:42.121Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (82634.696 ms) ====== [2026-02-12T04:01:42.121Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T04:01:42.121Z] GC before operation: completed in 224.297 ms, heap usage 487.586 MB -> 89.896 MB. [2026-02-12T04:01:57.910Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:02:08.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:02:21.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:02:29.685Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:02:35.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:02:41.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:02:47.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:02:55.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:02:55.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:02:55.463Z] The best model improves the baseline by 14.52%. [2026-02-12T04:02:55.909Z] Top recommended movies for user id 72: [2026-02-12T04:02:55.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:02:55.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:02:55.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:02:55.909Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:02:55.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:02:55.909Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (73875.437 ms) ====== [2026-02-12T04:02:55.909Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T04:02:56.450Z] GC before operation: completed in 308.513 ms, heap usage 553.676 MB -> 95.217 MB. [2026-02-12T04:03:11.730Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:03:22.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:03:33.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:03:42.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:03:49.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:03:55.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:04:01.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:04:07.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:04:08.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:04:08.459Z] The best model improves the baseline by 14.52%. [2026-02-12T04:04:08.968Z] Top recommended movies for user id 72: [2026-02-12T04:04:08.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:04:08.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:04:08.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:04:08.968Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:04:08.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:04:08.968Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (72671.230 ms) ====== [2026-02-12T04:04:08.968Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T04:04:08.968Z] GC before operation: completed in 255.987 ms, heap usage 391.704 MB -> 89.796 MB. [2026-02-12T04:04:21.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:04:32.122Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:04:42.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:04:51.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:04:56.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:05:02.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:05:08.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:05:16.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:05:18.071Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:05:18.071Z] The best model improves the baseline by 14.52%. [2026-02-12T04:05:18.593Z] Top recommended movies for user id 72: [2026-02-12T04:05:18.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:05:18.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:05:18.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:05:18.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:05:18.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:05:18.593Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (69261.452 ms) ====== [2026-02-12T04:05:18.593Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T04:05:18.593Z] GC before operation: completed in 312.064 ms, heap usage 433.851 MB -> 89.737 MB. [2026-02-12T04:05:31.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:05:42.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:05:58.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:06:09.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:06:15.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:06:21.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:06:30.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:06:35.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:06:36.155Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:06:36.155Z] The best model improves the baseline by 14.52%. [2026-02-12T04:06:37.337Z] Top recommended movies for user id 72: [2026-02-12T04:06:37.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:06:37.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:06:37.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:06:37.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:06:37.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:06:37.337Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (78646.052 ms) ====== [2026-02-12T04:06:37.337Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T04:06:37.815Z] GC before operation: completed in 261.582 ms, heap usage 873.626 MB -> 94.083 MB. [2026-02-12T04:06:48.891Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:07:04.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:07:18.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:07:33.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:07:38.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:07:48.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:07:54.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:08:02.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:08:02.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:08:03.570Z] The best model improves the baseline by 14.52%. [2026-02-12T04:08:03.570Z] Top recommended movies for user id 72: [2026-02-12T04:08:03.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:08:03.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:08:03.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:08:03.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:08:03.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:08:03.570Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (85870.409 ms) ====== [2026-02-12T04:08:03.570Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T04:08:04.721Z] GC before operation: completed in 1144.498 ms, heap usage 284.789 MB -> 93.011 MB. [2026-02-12T04:08:17.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:08:28.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:08:37.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:08:50.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:08:56.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:09:02.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:09:08.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:09:16.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:09:16.477Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:09:16.477Z] The best model improves the baseline by 14.52%. [2026-02-12T04:09:16.477Z] Top recommended movies for user id 72: [2026-02-12T04:09:16.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:09:16.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:09:16.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:09:16.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:09:16.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:09:16.477Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (71994.152 ms) ====== [2026-02-12T04:09:16.477Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T04:09:16.900Z] GC before operation: completed in 391.451 ms, heap usage 734.915 MB -> 93.388 MB. [2026-02-12T04:09:32.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:09:40.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:09:51.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:10:10.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:10:16.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:10:27.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:10:33.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:10:39.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:10:41.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T04:10:41.707Z] The best model improves the baseline by 14.52%. [2026-02-12T04:10:42.142Z] Top recommended movies for user id 72: [2026-02-12T04:10:42.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T04:10:42.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T04:10:42.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T04:10:42.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T04:10:42.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T04:10:42.142Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85273.653 ms) ====== [2026-02-12T04:10:46.973Z] ----------------------------------- [2026-02-12T04:10:46.973Z] renaissance-movie-lens_0_PASSED [2026-02-12T04:10:46.973Z] ----------------------------------- [2026-02-12T04:10:46.973Z] [2026-02-12T04:10:46.973Z] TEST TEARDOWN: [2026-02-12T04:10:46.973Z] Nothing to be done for teardown. [2026-02-12T04:10:47.912Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:10:47 2026 Epoch Time (ms): 1770869447390