[2026-02-26T04:46:34.235Z] Running test renaissance-movie-lens_0 ... [2026-02-26T04:46:34.651Z] =============================================== [2026-02-26T04:46:34.651Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 23:46:34 2026 Epoch Time (ms): 1772081194137 [2026-02-26T04:46:34.651Z] variation: NoOptions [2026-02-26T04:46:34.651Z] JVM_OPTIONS: [2026-02-26T04:46:34.651Z] { \ [2026-02-26T04:46:34.651Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T04:46:34.651Z] echo "Nothing to be done for setup."; \ [2026-02-26T04:46:34.651Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17720801213662/renaissance-movie-lens_0"; \ [2026-02-26T04:46:34.651Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17720801213662/renaissance-movie-lens_0"; \ [2026-02-26T04:46:34.651Z] echo ""; echo "TESTING:"; \ [2026-02-26T04:46:34.651Z] "/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_17720801213662/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T04:46:34.651Z] 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_17720801213662/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T04:46:34.651Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T04:46:34.651Z] echo "Nothing to be done for teardown."; \ [2026-02-26T04:46:34.651Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17720801213662/TestTargetResult"; [2026-02-26T04:46:34.651Z] [2026-02-26T04:46:34.651Z] TEST SETUP: [2026-02-26T04:46:34.651Z] Nothing to be done for setup. [2026-02-26T04:46:34.651Z] [2026-02-26T04:46:34.651Z] TESTING: [2026-02-26T04:47:00.525Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T04:47:26.197Z] 23:47:22.978 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T04:47:31.278Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T04:47:33.766Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T04:47:33.766Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T04:47:34.145Z] GC before operation: completed in 534.104 ms, heap usage 279.098 MB -> 75.198 MB. [2026-02-26T04:48:11.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:48:26.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:48:45.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:48:59.366Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:49:10.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:49:23.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:49:32.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:49:41.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:49:42.056Z] 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. [2026-02-26T04:49:42.056Z] The best model improves the baseline by 14.52%. [2026-02-26T04:49:42.955Z] Top recommended movies for user id 72: [2026-02-26T04:49:42.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:49:42.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:49:42.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:49:42.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:49:42.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:49:42.955Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (128766.647 ms) ====== [2026-02-26T04:49:42.955Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T04:49:43.447Z] GC before operation: completed in 367.740 ms, heap usage 134.114 MB -> 93.700 MB. [2026-02-26T04:49:59.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:50:11.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:50:24.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:50:35.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:50:44.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:50:53.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:51:04.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:51:13.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:51:14.853Z] 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. [2026-02-26T04:51:14.853Z] The best model improves the baseline by 14.52%. [2026-02-26T04:51:15.276Z] Top recommended movies for user id 72: [2026-02-26T04:51:15.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:51:15.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:51:15.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:51:15.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:51:15.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:51:15.276Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (92060.091 ms) ====== [2026-02-26T04:51:15.276Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T04:51:15.732Z] GC before operation: completed in 262.249 ms, heap usage 812.177 MB -> 92.093 MB. [2026-02-26T04:51:32.394Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:51:48.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:52:03.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:52:16.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:52:23.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:52:31.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:52:38.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:52:48.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:52:48.790Z] 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. [2026-02-26T04:52:48.790Z] The best model improves the baseline by 14.52%. [2026-02-26T04:52:49.222Z] Top recommended movies for user id 72: [2026-02-26T04:52:49.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:52:49.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:52:49.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:52:49.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:52:49.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:52:49.222Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (93495.302 ms) ====== [2026-02-26T04:52:49.222Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T04:52:49.823Z] GC before operation: completed in 390.141 ms, heap usage 584.191 MB -> 92.137 MB. [2026-02-26T04:53:07.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:53:21.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:53:31.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:53:44.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:53:53.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:54:02.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:54:12.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:54:19.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:54:19.844Z] 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. [2026-02-26T04:54:19.844Z] The best model improves the baseline by 14.52%. [2026-02-26T04:54:20.266Z] Top recommended movies for user id 72: [2026-02-26T04:54:20.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:54:20.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:54:20.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:54:20.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:54:20.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:54:20.267Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (90668.102 ms) ====== [2026-02-26T04:54:20.267Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T04:54:20.873Z] GC before operation: completed in 256.549 ms, heap usage 369.388 MB -> 89.014 MB. [2026-02-26T04:54:39.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:54:52.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:55:05.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:55:18.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:55:26.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:55:33.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:55:39.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:55:46.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:55:46.882Z] 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. [2026-02-26T04:55:46.882Z] The best model improves the baseline by 14.52%. [2026-02-26T04:55:48.539Z] Top recommended movies for user id 72: [2026-02-26T04:55:48.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:55:48.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:55:48.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:55:48.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:55:48.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:55:48.539Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (87773.738 ms) ====== [2026-02-26T04:55:48.539Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T04:55:48.539Z] GC before operation: completed in 284.783 ms, heap usage 232.298 MB -> 88.714 MB. [2026-02-26T04:56:06.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:56:19.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:56:30.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:56:46.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:56:54.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:57:02.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:57:09.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:57:17.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:57:17.204Z] 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. [2026-02-26T04:57:17.204Z] The best model improves the baseline by 14.52%. [2026-02-26T04:57:18.209Z] Top recommended movies for user id 72: [2026-02-26T04:57:18.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:57:18.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:57:18.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:57:18.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:57:18.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:57:18.209Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (89381.274 ms) ====== [2026-02-26T04:57:18.209Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T04:57:18.209Z] GC before operation: completed in 320.535 ms, heap usage 113.562 MB -> 93.245 MB. [2026-02-26T04:57:36.156Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:57:46.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:57:57.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:58:13.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:58:20.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:58:25.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:58:33.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T04:58:40.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T04:58:41.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T04:58:41.495Z] The best model improves the baseline by 14.52%. [2026-02-26T04:58:42.561Z] Top recommended movies for user id 72: [2026-02-26T04:58:42.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T04:58:42.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T04:58:42.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T04:58:42.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T04:58:42.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T04:58:42.561Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (84154.034 ms) ====== [2026-02-26T04:58:42.561Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T04:58:43.175Z] GC before operation: completed in 705.997 ms, heap usage 139.541 MB -> 92.418 MB. [2026-02-26T04:58:58.415Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T04:59:13.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T04:59:25.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T04:59:36.952Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T04:59:45.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T04:59:52.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T04:59:59.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:00:09.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:00:10.654Z] 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. [2026-02-26T05:00:10.654Z] The best model improves the baseline by 14.52%. [2026-02-26T05:00:12.409Z] Top recommended movies for user id 72: [2026-02-26T05:00:12.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:00:12.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:00:12.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:00:12.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:00:12.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:00:12.409Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (89162.754 ms) ====== [2026-02-26T05:00:12.409Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T05:00:12.856Z] GC before operation: completed in 399.419 ms, heap usage 134.257 MB -> 93.582 MB. [2026-02-26T05:00:28.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:00:44.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:00:57.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:01:08.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:01:15.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:01:21.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:01:30.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:01:37.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:01:38.603Z] 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. [2026-02-26T05:01:38.603Z] The best model improves the baseline by 14.52%. [2026-02-26T05:01:39.697Z] Top recommended movies for user id 72: [2026-02-26T05:01:39.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:01:39.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:01:39.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:01:39.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:01:39.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:01:39.697Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (86980.350 ms) ====== [2026-02-26T05:01:39.697Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T05:01:40.280Z] GC before operation: completed in 539.927 ms, heap usage 112.068 MB -> 93.494 MB. [2026-02-26T05:01:58.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:02:10.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:02:22.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:02:35.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:02:41.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:02:47.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:02:56.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:03:04.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:03:05.785Z] 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. [2026-02-26T05:03:05.785Z] The best model improves the baseline by 14.52%. [2026-02-26T05:03:06.340Z] Top recommended movies for user id 72: [2026-02-26T05:03:06.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:03:06.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:03:06.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:03:06.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:03:06.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:03:06.340Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (86299.407 ms) ====== [2026-02-26T05:03:06.340Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T05:03:06.761Z] GC before operation: completed in 301.777 ms, heap usage 120.783 MB -> 93.898 MB. [2026-02-26T05:03:22.803Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:03:36.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:03:49.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:04:02.967Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:04:10.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:04:18.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:04:26.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:04:34.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:04:34.869Z] 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. [2026-02-26T05:04:34.869Z] The best model improves the baseline by 14.52%. [2026-02-26T05:04:34.869Z] Top recommended movies for user id 72: [2026-02-26T05:04:34.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:04:34.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:04:34.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:04:34.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:04:34.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:04:34.869Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (88166.758 ms) ====== [2026-02-26T05:04:34.869Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T05:04:35.323Z] GC before operation: completed in 240.036 ms, heap usage 802.949 MB -> 93.561 MB. [2026-02-26T05:04:53.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:05:02.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:05:15.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:05:24.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:05:30.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:05:36.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:05:43.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:05:50.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:05:51.272Z] 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. [2026-02-26T05:05:51.272Z] The best model improves the baseline by 14.52%. [2026-02-26T05:05:51.808Z] Top recommended movies for user id 72: [2026-02-26T05:05:51.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:05:51.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:05:51.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:05:51.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:05:51.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:05:51.808Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (76733.355 ms) ====== [2026-02-26T05:05:51.808Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T05:05:52.278Z] GC before operation: completed in 336.955 ms, heap usage 111.929 MB -> 93.810 MB. [2026-02-26T05:06:10.877Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:06:24.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:06:35.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:06:48.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:06:55.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:07:01.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:07:09.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:07:16.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:07:17.077Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T05:07:17.077Z] The best model improves the baseline by 14.52%. [2026-02-26T05:07:17.543Z] Top recommended movies for user id 72: [2026-02-26T05:07:17.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:07:17.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:07:17.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:07:17.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:07:17.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:07:17.543Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (85037.621 ms) ====== [2026-02-26T05:07:17.543Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T05:07:17.543Z] GC before operation: completed in 233.998 ms, heap usage 119.106 MB -> 92.134 MB. [2026-02-26T05:07:36.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:07:47.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:08:02.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:08:13.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:08:19.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:08:25.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:08:32.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:08:41.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:08:41.318Z] 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. [2026-02-26T05:08:41.318Z] The best model improves the baseline by 14.52%. [2026-02-26T05:08:42.572Z] Top recommended movies for user id 72: [2026-02-26T05:08:42.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:08:42.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:08:42.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:08:42.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:08:42.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:08:42.572Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (84510.733 ms) ====== [2026-02-26T05:08:42.572Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T05:08:43.077Z] GC before operation: completed in 815.738 ms, heap usage 117.050 MB -> 93.600 MB. [2026-02-26T05:08:58.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:09:14.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:09:27.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:09:38.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:09:45.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:09:53.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:10:00.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:10:08.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:10:08.612Z] 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. [2026-02-26T05:10:08.612Z] The best model improves the baseline by 14.52%. [2026-02-26T05:10:09.082Z] Top recommended movies for user id 72: [2026-02-26T05:10:09.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:10:09.082Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:10:09.082Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:10:09.082Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:10:09.082Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:10:09.082Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (86039.544 ms) ====== [2026-02-26T05:10:09.082Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T05:10:09.082Z] GC before operation: completed in 302.271 ms, heap usage 224.296 MB -> 89.693 MB. [2026-02-26T05:10:27.762Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:10:38.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:10:54.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:11:05.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:11:13.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:11:19.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:11:26.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:11:34.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:11:34.299Z] 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. [2026-02-26T05:11:34.299Z] The best model improves the baseline by 14.52%. [2026-02-26T05:11:35.297Z] Top recommended movies for user id 72: [2026-02-26T05:11:35.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:11:35.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:11:35.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:11:35.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:11:35.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:11:35.298Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (85760.663 ms) ====== [2026-02-26T05:11:35.298Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T05:11:35.298Z] GC before operation: completed in 302.858 ms, heap usage 109.350 MB -> 93.963 MB. [2026-02-26T05:11:50.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:12:02.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:12:17.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:12:27.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:12:33.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:12:39.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:12:50.228Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:12:56.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:12:57.198Z] 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. [2026-02-26T05:12:57.198Z] The best model improves the baseline by 14.52%. [2026-02-26T05:12:57.686Z] Top recommended movies for user id 72: [2026-02-26T05:12:57.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:12:57.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:12:57.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:12:57.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:12:57.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:12:57.687Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (82233.452 ms) ====== [2026-02-26T05:12:57.687Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T05:12:58.345Z] GC before operation: completed in 506.178 ms, heap usage 146.569 MB -> 93.107 MB. [2026-02-26T05:13:13.902Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:13:26.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:13:37.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:13:51.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:13:58.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:14:04.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:14:13.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:14:18.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:14:20.404Z] 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. [2026-02-26T05:14:20.404Z] The best model improves the baseline by 14.52%. [2026-02-26T05:14:20.404Z] Top recommended movies for user id 72: [2026-02-26T05:14:20.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:14:20.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:14:20.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:14:20.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:14:20.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:14:20.404Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (82539.379 ms) ====== [2026-02-26T05:14:20.404Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T05:14:20.943Z] GC before operation: completed in 340.395 ms, heap usage 122.858 MB -> 94.142 MB. [2026-02-26T05:14:33.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:14:44.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:14:54.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:15:08.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:15:16.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:15:24.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:15:30.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:15:39.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:15:39.430Z] 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. [2026-02-26T05:15:39.430Z] The best model improves the baseline by 14.52%. [2026-02-26T05:15:40.040Z] Top recommended movies for user id 72: [2026-02-26T05:15:40.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:15:40.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:15:40.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:15:40.040Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:15:40.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:15:40.040Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (78711.263 ms) ====== [2026-02-26T05:15:40.040Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T05:15:40.552Z] GC before operation: completed in 676.504 ms, heap usage 108.317 MB -> 93.982 MB. [2026-02-26T05:15:58.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T05:16:11.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T05:16:22.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T05:16:33.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T05:16:39.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T05:16:46.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T05:16:52.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T05:16:59.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T05:16:59.877Z] 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. [2026-02-26T05:16:59.877Z] The best model improves the baseline by 14.52%. [2026-02-26T05:17:00.341Z] Top recommended movies for user id 72: [2026-02-26T05:17:00.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T05:17:00.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T05:17:00.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T05:17:00.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T05:17:00.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T05:17:00.341Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (79931.898 ms) ====== [2026-02-26T05:17:06.119Z] ----------------------------------- [2026-02-26T05:17:06.119Z] renaissance-movie-lens_0_PASSED [2026-02-26T05:17:06.119Z] ----------------------------------- [2026-02-26T05:17:06.119Z] [2026-02-26T05:17:06.119Z] TEST TEARDOWN: [2026-02-26T05:17:06.119Z] Nothing to be done for teardown. [2026-02-26T05:17:06.561Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 00:17:06 2026 Epoch Time (ms): 1772083026349