[2025-11-12T22:52:58.567Z] Running test renaissance-movie-lens_0 ... [2025-11-12T22:52:58.567Z] =============================================== [2025-11-12T22:52:58.567Z] renaissance-movie-lens_0 Start Time: Wed Nov 12 17:52:58 2025 Epoch Time (ms): 1762987978100 [2025-11-12T22:52:58.567Z] variation: NoOptions [2025-11-12T22:52:58.567Z] JVM_OPTIONS: [2025-11-12T22:52:58.567Z] { \ [2025-11-12T22:52:58.567Z] echo ""; echo "TEST SETUP:"; \ [2025-11-12T22:52:58.567Z] echo "Nothing to be done for setup."; \ [2025-11-12T22:52:58.567Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17629875435339/renaissance-movie-lens_0"; \ [2025-11-12T22:52:58.567Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17629875435339/renaissance-movie-lens_0"; \ [2025-11-12T22:52:58.567Z] echo ""; echo "TESTING:"; \ [2025-11-12T22:52:58.567Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/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_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17629875435339/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-12T22:52:58.567Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17629875435339/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-12T22:52:58.567Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-12T22:52:58.567Z] echo "Nothing to be done for teardown."; \ [2025-11-12T22:52:58.568Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17629875435339/TestTargetResult"; [2025-11-12T22:52:58.568Z] [2025-11-12T22:52:58.568Z] TEST SETUP: [2025-11-12T22:52:58.568Z] Nothing to be done for setup. [2025-11-12T22:52:58.568Z] [2025-11-12T22:52:58.568Z] TESTING: [2025-11-12T22:53:00.950Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-12T22:53:03.400Z] 17:53:02.770 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-12T22:53:03.792Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-12T22:53:03.792Z] Training: 60056, validation: 20285, test: 19854 [2025-11-12T22:53:03.792Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-12T22:53:03.792Z] GC before operation: completed in 58.041 ms, heap usage 346.141 MB -> 76.271 MB. [2025-11-12T22:53:06.191Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:07.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:09.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:10.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:11.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:11.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:12.351Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:13.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:13.491Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:13.491Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:13.491Z] Top recommended movies for user id 72: [2025-11-12T22:53:13.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:13.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:13.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:13.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:13.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:13.491Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9497.797 ms) ====== [2025-11-12T22:53:13.491Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-12T22:53:13.491Z] GC before operation: completed in 48.154 ms, heap usage 365.071 MB -> 87.058 MB. [2025-11-12T22:53:14.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:15.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:16.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:17.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:18.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:19.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:19.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:20.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:20.743Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:20.743Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:20.743Z] Top recommended movies for user id 72: [2025-11-12T22:53:20.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:20.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:20.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:20.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:20.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:20.743Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7218.894 ms) ====== [2025-11-12T22:53:20.743Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-12T22:53:20.743Z] GC before operation: completed in 44.081 ms, heap usage 236.630 MB -> 88.985 MB. [2025-11-12T22:53:21.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:22.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:24.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:25.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:25.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:26.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:26.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:27.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:27.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:27.553Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:27.553Z] Top recommended movies for user id 72: [2025-11-12T22:53:27.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:27.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:27.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:27.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:27.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:27.553Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (6944.631 ms) ====== [2025-11-12T22:53:27.553Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-12T22:53:27.553Z] GC before operation: completed in 53.058 ms, heap usage 191.623 MB -> 89.605 MB. [2025-11-12T22:53:28.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:30.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:30.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:32.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:32.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:33.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:33.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:34.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:34.330Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:34.686Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:34.686Z] Top recommended movies for user id 72: [2025-11-12T22:53:34.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:34.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:34.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:34.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:34.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:34.686Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (6868.520 ms) ====== [2025-11-12T22:53:34.686Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-12T22:53:34.686Z] GC before operation: completed in 52.632 ms, heap usage 285.159 MB -> 90.223 MB. [2025-11-12T22:53:35.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:36.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:37.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:38.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:39.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:39.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:40.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:41.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:41.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:41.063Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:41.063Z] Top recommended movies for user id 72: [2025-11-12T22:53:41.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:41.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:41.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:41.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:41.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:41.063Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (6594.743 ms) ====== [2025-11-12T22:53:41.063Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-12T22:53:41.420Z] GC before operation: completed in 46.491 ms, heap usage 196.987 MB -> 89.959 MB. [2025-11-12T22:53:42.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:43.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:44.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:45.476Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:45.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:46.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:46.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:47.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:47.733Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:47.733Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:47.733Z] Top recommended movies for user id 72: [2025-11-12T22:53:47.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:47.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:47.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:47.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:47.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:47.733Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6618.198 ms) ====== [2025-11-12T22:53:47.733Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-12T22:53:48.086Z] GC before operation: completed in 43.323 ms, heap usage 396.678 MB -> 90.449 MB. [2025-11-12T22:53:48.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:50.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:51.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:52.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:52.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:53:53.639Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:53:53.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:53:54.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:53:54.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:53:54.784Z] The best model improves the baseline by 14.52%. [2025-11-12T22:53:54.784Z] Top recommended movies for user id 72: [2025-11-12T22:53:54.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:53:54.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:53:54.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:53:54.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:53:54.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:53:54.784Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (6813.994 ms) ====== [2025-11-12T22:53:54.784Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-12T22:53:54.784Z] GC before operation: completed in 44.371 ms, heap usage 399.748 MB -> 90.499 MB. [2025-11-12T22:53:55.638Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:53:56.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:53:58.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:53:58.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:53:59.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:00.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:00.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:01.653Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:01.653Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:01.653Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:01.653Z] Top recommended movies for user id 72: [2025-11-12T22:54:01.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:01.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:01.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:01.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:01.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:01.653Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6805.349 ms) ====== [2025-11-12T22:54:01.653Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-12T22:54:01.653Z] GC before operation: completed in 40.525 ms, heap usage 384.470 MB -> 90.660 MB. [2025-11-12T22:54:02.886Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:03.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:04.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:05.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:06.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:06.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:07.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:07.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:07.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:08.341Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:08.341Z] Top recommended movies for user id 72: [2025-11-12T22:54:08.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:08.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:08.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:08.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:08.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:08.341Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6590.016 ms) ====== [2025-11-12T22:54:08.341Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-12T22:54:08.341Z] GC before operation: completed in 40.523 ms, heap usage 123.113 MB -> 91.208 MB. [2025-11-12T22:54:09.091Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:10.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:11.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:12.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:12.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:13.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:14.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:14.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:14.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:14.783Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:14.783Z] Top recommended movies for user id 72: [2025-11-12T22:54:14.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:14.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:14.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:14.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:14.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:14.783Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6649.536 ms) ====== [2025-11-12T22:54:14.783Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-12T22:54:15.136Z] GC before operation: completed in 43.082 ms, heap usage 128.396 MB -> 90.518 MB. [2025-11-12T22:54:15.909Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:17.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:18.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:19.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:19.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:20.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:21.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:21.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:21.863Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:21.863Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:21.863Z] Top recommended movies for user id 72: [2025-11-12T22:54:21.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:21.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:21.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:21.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:21.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:21.863Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6854.312 ms) ====== [2025-11-12T22:54:21.863Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-12T22:54:21.863Z] GC before operation: completed in 39.566 ms, heap usage 358.762 MB -> 90.493 MB. [2025-11-12T22:54:23.096Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:23.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:25.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:25.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:26.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:26.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:27.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:28.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:28.444Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:28.444Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:28.444Z] Top recommended movies for user id 72: [2025-11-12T22:54:28.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:28.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:28.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:28.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:28.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:28.444Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6533.415 ms) ====== [2025-11-12T22:54:28.444Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-12T22:54:28.444Z] GC before operation: completed in 43.548 ms, heap usage 289.677 MB -> 90.495 MB. [2025-11-12T22:54:29.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:30.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:31.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:32.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:32.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:33.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:33.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:34.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:34.705Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:34.705Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:34.705Z] Top recommended movies for user id 72: [2025-11-12T22:54:34.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:34.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:34.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:34.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:34.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:34.705Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6255.649 ms) ====== [2025-11-12T22:54:34.705Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-12T22:54:34.705Z] GC before operation: completed in 40.713 ms, heap usage 470.862 MB -> 92.825 MB. [2025-11-12T22:54:35.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:36.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:37.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:38.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:39.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:39.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:40.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:40.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:40.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:40.870Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:40.870Z] Top recommended movies for user id 72: [2025-11-12T22:54:40.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:40.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:40.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:40.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:40.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:40.870Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6035.603 ms) ====== [2025-11-12T22:54:40.870Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-12T22:54:40.870Z] GC before operation: completed in 41.982 ms, heap usage 203.552 MB -> 90.287 MB. [2025-11-12T22:54:41.632Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:43.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:43.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:44.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:44.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:45.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:46.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:46.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:46.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:46.831Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:46.831Z] Top recommended movies for user id 72: [2025-11-12T22:54:46.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:46.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:46.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:46.831Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:46.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:46.831Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (5968.674 ms) ====== [2025-11-12T22:54:46.831Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-12T22:54:46.831Z] GC before operation: completed in 39.343 ms, heap usage 288.576 MB -> 90.572 MB. [2025-11-12T22:54:47.633Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:48.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:49.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:50.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:51.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:51.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:52.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:53.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:53.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:53.403Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:53.403Z] Top recommended movies for user id 72: [2025-11-12T22:54:53.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:53.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:53.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:53.403Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:53.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:53.403Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6460.600 ms) ====== [2025-11-12T22:54:53.403Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-12T22:54:53.403Z] GC before operation: completed in 45.570 ms, heap usage 532.966 MB -> 94.091 MB. [2025-11-12T22:54:54.156Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:54:55.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:54:56.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:54:56.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:54:57.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:54:58.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:54:58.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:54:59.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:54:59.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:54:59.650Z] The best model improves the baseline by 14.52%. [2025-11-12T22:54:59.650Z] Top recommended movies for user id 72: [2025-11-12T22:54:59.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:54:59.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:54:59.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:54:59.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:54:59.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:54:59.650Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6335.077 ms) ====== [2025-11-12T22:54:59.650Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-12T22:54:59.650Z] GC before operation: completed in 41.995 ms, heap usage 288.520 MB -> 90.608 MB. [2025-11-12T22:55:00.906Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:55:01.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:55:02.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:55:03.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:55:04.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:55:04.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:55:05.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:55:06.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:55:06.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:55:06.050Z] The best model improves the baseline by 14.52%. [2025-11-12T22:55:06.050Z] Top recommended movies for user id 72: [2025-11-12T22:55:06.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:55:06.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:55:06.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:55:06.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:55:06.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:55:06.050Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6357.139 ms) ====== [2025-11-12T22:55:06.050Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-12T22:55:06.050Z] GC before operation: completed in 44.262 ms, heap usage 368.958 MB -> 90.443 MB. [2025-11-12T22:55:07.279Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:55:08.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:55:09.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:55:10.504Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:55:10.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:55:11.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:55:11.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:55:12.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:55:12.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:55:12.736Z] The best model improves the baseline by 14.52%. [2025-11-12T22:55:12.736Z] Top recommended movies for user id 72: [2025-11-12T22:55:12.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:55:12.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:55:12.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:55:12.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:55:12.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:55:12.736Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6616.311 ms) ====== [2025-11-12T22:55:12.737Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-12T22:55:12.737Z] GC before operation: completed in 42.926 ms, heap usage 371.605 MB -> 90.762 MB. [2025-11-12T22:55:13.968Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T22:55:14.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T22:55:15.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T22:55:16.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T22:55:17.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T22:55:18.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T22:55:18.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T22:55:19.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T22:55:19.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-12T22:55:19.339Z] The best model improves the baseline by 14.52%. [2025-11-12T22:55:19.339Z] Top recommended movies for user id 72: [2025-11-12T22:55:19.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-12T22:55:19.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-12T22:55:19.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-12T22:55:19.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-12T22:55:19.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-12T22:55:19.339Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6638.439 ms) ====== [2025-11-12T22:55:19.691Z] ----------------------------------- [2025-11-12T22:55:19.691Z] renaissance-movie-lens_0_PASSED [2025-11-12T22:55:19.691Z] ----------------------------------- [2025-11-12T22:55:19.691Z] [2025-11-12T22:55:19.691Z] TEST TEARDOWN: [2025-11-12T22:55:19.691Z] Nothing to be done for teardown. [2025-11-12T22:55:19.691Z] renaissance-movie-lens_0 Finish Time: Wed Nov 12 17:55:19 2025 Epoch Time (ms): 1762988119406