[2025-06-11T20:44:35.472Z] Running test renaissance-movie-lens_0 ... [2025-06-11T20:44:35.472Z] =============================================== [2025-06-11T20:44:35.472Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 13:44:34 2025 Epoch Time (ms): 1749674674931 [2025-06-11T20:44:35.472Z] variation: NoOptions [2025-06-11T20:44:35.472Z] JVM_OPTIONS: [2025-06-11T20:44:35.472Z] { \ [2025-06-11T20:44:35.472Z] echo ""; echo "TEST SETUP:"; \ [2025-06-11T20:44:35.472Z] echo "Nothing to be done for setup."; \ [2025-06-11T20:44:35.472Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17496727588273/renaissance-movie-lens_0"; \ [2025-06-11T20:44:35.472Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17496727588273/renaissance-movie-lens_0"; \ [2025-06-11T20:44:35.472Z] echo ""; echo "TESTING:"; \ [2025-06-11T20:44:35.472Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_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_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17496727588273/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-11T20:44:35.472Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17496727588273/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-11T20:44:35.472Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-11T20:44:35.472Z] echo "Nothing to be done for teardown."; \ [2025-06-11T20:44:35.472Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17496727588273/TestTargetResult"; [2025-06-11T20:44:35.472Z] [2025-06-11T20:44:35.472Z] TEST SETUP: [2025-06-11T20:44:35.472Z] Nothing to be done for setup. [2025-06-11T20:44:35.472Z] [2025-06-11T20:44:35.472Z] TESTING: [2025-06-11T20:44:45.659Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-11T20:44:57.593Z] 13:44:55.537 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-11T20:44:59.681Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-11T20:45:00.711Z] Training: 60056, validation: 20285, test: 19854 [2025-06-11T20:45:00.711Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-11T20:45:00.711Z] GC before operation: completed in 335.198 ms, heap usage 401.389 MB -> 75.958 MB. [2025-06-11T20:45:18.422Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:45:27.259Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:45:34.618Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:45:41.501Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:45:46.414Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:45:51.239Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:45:56.095Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:46:00.768Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:46:00.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:46:00.768Z] The best model improves the baseline by 14.52%. [2025-06-11T20:46:01.183Z] Top recommended movies for user id 72: [2025-06-11T20:46:01.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:46:01.183Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:46:01.183Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:46:01.183Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:46:01.183Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:46:01.183Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60293.713 ms) ====== [2025-06-11T20:46:01.183Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-11T20:46:01.654Z] GC before operation: completed in 324.917 ms, heap usage 228.167 MB -> 89.618 MB. [2025-06-11T20:46:10.171Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:46:22.218Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:46:32.238Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:46:42.264Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:46:45.753Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:46:51.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:46:57.033Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:47:01.716Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:47:02.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:47:02.183Z] The best model improves the baseline by 14.52%. [2025-06-11T20:47:02.183Z] Top recommended movies for user id 72: [2025-06-11T20:47:02.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:47:02.183Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:47:02.183Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:47:02.183Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:47:02.183Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:47:02.183Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (60864.933 ms) ====== [2025-06-11T20:47:02.183Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-11T20:47:02.646Z] GC before operation: completed in 238.991 ms, heap usage 679.218 MB -> 92.207 MB. [2025-06-11T20:47:14.847Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:47:23.241Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:47:33.509Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:47:42.076Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:47:46.418Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:47:50.930Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:47:55.604Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:48:01.248Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:48:01.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:48:01.715Z] The best model improves the baseline by 14.52%. [2025-06-11T20:48:02.737Z] Top recommended movies for user id 72: [2025-06-11T20:48:02.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:48:02.737Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:48:02.737Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:48:02.737Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:48:02.737Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:48:02.737Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (59676.074 ms) ====== [2025-06-11T20:48:02.737Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-11T20:48:02.737Z] GC before operation: completed in 234.573 ms, heap usage 258.939 MB -> 88.796 MB. [2025-06-11T20:48:12.973Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:48:20.023Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:48:26.631Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:48:32.171Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:48:36.742Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:48:40.233Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:48:44.617Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:48:48.070Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:48:48.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:48:48.459Z] The best model improves the baseline by 14.52%. [2025-06-11T20:48:48.859Z] Top recommended movies for user id 72: [2025-06-11T20:48:48.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:48:48.859Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:48:48.859Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:48:48.859Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:48:48.859Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:48:48.859Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (46306.255 ms) ====== [2025-06-11T20:48:48.859Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-11T20:48:48.859Z] GC before operation: completed in 142.283 ms, heap usage 448.522 MB -> 89.445 MB. [2025-06-11T20:48:55.625Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:49:01.152Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:49:06.681Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:49:13.406Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:49:16.902Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:49:21.371Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:49:25.860Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:49:28.746Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:49:28.746Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:49:29.217Z] The best model improves the baseline by 14.52%. [2025-06-11T20:49:29.217Z] Top recommended movies for user id 72: [2025-06-11T20:49:29.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:49:29.217Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:49:29.217Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:49:29.217Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:49:29.217Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:49:29.217Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (40283.510 ms) ====== [2025-06-11T20:49:29.217Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-11T20:49:29.217Z] GC before operation: completed in 149.535 ms, heap usage 906.241 MB -> 93.838 MB. [2025-06-11T20:49:35.832Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:49:42.564Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:49:47.223Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:49:53.890Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:49:57.318Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:50:01.777Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:50:05.359Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:50:10.880Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:50:11.799Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:50:11.799Z] The best model improves the baseline by 14.52%. [2025-06-11T20:50:12.299Z] Top recommended movies for user id 72: [2025-06-11T20:50:12.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:50:12.299Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:50:12.299Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:50:12.299Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:50:12.299Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:50:12.299Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (42900.109 ms) ====== [2025-06-11T20:50:12.299Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-11T20:50:12.713Z] GC before operation: completed in 192.812 ms, heap usage 275.478 MB -> 89.380 MB. [2025-06-11T20:50:22.883Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:50:32.939Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:50:41.447Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:50:51.764Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:50:57.337Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:51:02.180Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:51:06.631Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:51:13.441Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:51:13.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:51:14.254Z] The best model improves the baseline by 14.52%. [2025-06-11T20:51:14.254Z] Top recommended movies for user id 72: [2025-06-11T20:51:14.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:51:14.254Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:51:14.254Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:51:14.254Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:51:14.254Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:51:14.254Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (61919.638 ms) ====== [2025-06-11T20:51:14.254Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-11T20:51:14.718Z] GC before operation: completed in 262.162 ms, heap usage 979.539 MB -> 94.555 MB. [2025-06-11T20:51:23.220Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:51:33.648Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:51:43.740Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:51:52.131Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:51:55.949Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:52:00.243Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:52:05.849Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:52:11.525Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:52:11.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:52:11.973Z] The best model improves the baseline by 14.52%. [2025-06-11T20:52:12.382Z] Top recommended movies for user id 72: [2025-06-11T20:52:12.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:52:12.382Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:52:12.382Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:52:12.382Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:52:12.382Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:52:12.382Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (57676.445 ms) ====== [2025-06-11T20:52:12.382Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-11T20:52:12.800Z] GC before operation: completed in 244.743 ms, heap usage 759.978 MB -> 93.731 MB. [2025-06-11T20:52:21.138Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:52:29.466Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:52:36.177Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:52:41.612Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:52:44.395Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:52:47.821Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:52:51.257Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:52:55.702Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:52:55.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:52:55.702Z] The best model improves the baseline by 14.52%. [2025-06-11T20:52:55.702Z] Top recommended movies for user id 72: [2025-06-11T20:52:55.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:52:55.702Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:52:55.702Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:52:55.702Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:52:55.702Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:52:55.702Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43241.596 ms) ====== [2025-06-11T20:52:55.702Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-11T20:52:56.106Z] GC before operation: completed in 219.513 ms, heap usage 1.101 GB -> 95.148 MB. [2025-06-11T20:53:03.025Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:53:08.510Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:53:13.872Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:53:19.320Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:53:22.179Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:53:24.866Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:53:28.302Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:53:31.724Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:53:31.724Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:53:31.724Z] The best model improves the baseline by 14.52%. [2025-06-11T20:53:32.185Z] Top recommended movies for user id 72: [2025-06-11T20:53:32.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:53:32.185Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:53:32.185Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:53:32.185Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:53:32.185Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:53:32.185Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35963.878 ms) ====== [2025-06-11T20:53:32.185Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-11T20:53:32.185Z] GC before operation: completed in 130.128 ms, heap usage 274.426 MB -> 89.819 MB. [2025-06-11T20:53:41.078Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:53:44.511Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:53:49.870Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:53:54.301Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:53:57.819Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:54:01.203Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:54:05.771Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:54:11.453Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:54:11.453Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:54:11.453Z] The best model improves the baseline by 14.52%. [2025-06-11T20:54:11.949Z] Top recommended movies for user id 72: [2025-06-11T20:54:11.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:54:11.949Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:54:11.949Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:54:11.949Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:54:11.949Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:54:11.949Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (39494.403 ms) ====== [2025-06-11T20:54:11.949Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-11T20:54:11.949Z] GC before operation: completed in 184.367 ms, heap usage 429.905 MB -> 89.643 MB. [2025-06-11T20:54:22.396Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:54:31.174Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:54:43.377Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:54:50.458Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:54:56.002Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:55:01.827Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:55:05.547Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:55:09.943Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:55:10.873Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:55:10.873Z] The best model improves the baseline by 14.52%. [2025-06-11T20:55:11.384Z] Top recommended movies for user id 72: [2025-06-11T20:55:11.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:55:11.384Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:55:11.384Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:55:11.384Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:55:11.384Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:55:11.384Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (59237.887 ms) ====== [2025-06-11T20:55:11.384Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-11T20:55:11.384Z] GC before operation: completed in 271.151 ms, heap usage 701.972 MB -> 93.456 MB. [2025-06-11T20:55:19.734Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:55:27.884Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:55:38.129Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:55:46.479Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:55:53.570Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:55:59.116Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:56:05.989Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:56:10.558Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:56:11.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:56:11.514Z] The best model improves the baseline by 14.52%. [2025-06-11T20:56:12.523Z] Top recommended movies for user id 72: [2025-06-11T20:56:12.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:56:12.523Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:56:12.523Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:56:12.523Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:56:12.523Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:56:12.523Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60461.447 ms) ====== [2025-06-11T20:56:12.523Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-11T20:56:12.523Z] GC before operation: completed in 192.435 ms, heap usage 364.430 MB -> 89.902 MB. [2025-06-11T20:56:21.287Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:56:29.606Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:56:39.525Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:56:45.030Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:56:49.495Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:56:52.883Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:56:56.307Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:57:00.690Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:57:01.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:57:01.113Z] The best model improves the baseline by 14.52%. [2025-06-11T20:57:01.552Z] Top recommended movies for user id 72: [2025-06-11T20:57:01.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:57:01.552Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:57:01.552Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:57:01.552Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:57:01.552Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:57:01.552Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49455.105 ms) ====== [2025-06-11T20:57:01.552Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-11T20:57:01.552Z] GC before operation: completed in 194.494 ms, heap usage 190.326 MB -> 89.488 MB. [2025-06-11T20:57:09.865Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:57:15.261Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:57:23.111Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:57:29.819Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:57:33.331Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:57:38.720Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:57:43.391Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:57:48.004Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:57:48.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:57:48.630Z] The best model improves the baseline by 14.52%. [2025-06-11T20:57:49.548Z] Top recommended movies for user id 72: [2025-06-11T20:57:49.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:57:49.548Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:57:49.548Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:57:49.548Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:57:49.548Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:57:49.548Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47637.754 ms) ====== [2025-06-11T20:57:49.548Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-11T20:57:49.548Z] GC before operation: completed in 260.053 ms, heap usage 212.176 MB -> 89.636 MB. [2025-06-11T20:58:00.183Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:58:09.051Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:58:19.254Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:58:27.784Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:58:32.203Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:58:37.986Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:58:43.510Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:58:49.103Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:58:49.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:58:49.558Z] The best model improves the baseline by 14.52%. [2025-06-11T20:58:50.025Z] Top recommended movies for user id 72: [2025-06-11T20:58:50.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:58:50.025Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:58:50.025Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:58:50.025Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:58:50.025Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:58:50.025Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (60366.680 ms) ====== [2025-06-11T20:58:50.025Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-11T20:58:50.025Z] GC before operation: completed in 264.667 ms, heap usage 792.847 MB -> 93.875 MB. [2025-06-11T20:59:01.321Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:59:08.123Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:59:16.624Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:59:25.108Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:59:30.643Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:59:34.268Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:59:38.909Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:59:44.609Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:59:45.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:59:45.582Z] The best model improves the baseline by 14.52%. [2025-06-11T20:59:46.061Z] Top recommended movies for user id 72: [2025-06-11T20:59:46.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:59:46.061Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:59:46.061Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:59:46.061Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:59:46.061Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:59:46.061Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (55714.594 ms) ====== [2025-06-11T20:59:46.061Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-11T20:59:46.468Z] GC before operation: completed in 213.503 ms, heap usage 257.374 MB -> 89.780 MB. [2025-06-11T20:59:54.716Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:00:02.918Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:00:11.155Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:00:19.452Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:00:24.006Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:00:28.793Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:00:33.190Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:00:38.945Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:00:38.945Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T21:00:38.945Z] The best model improves the baseline by 14.52%. [2025-06-11T21:00:39.330Z] Top recommended movies for user id 72: [2025-06-11T21:00:39.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T21:00:39.330Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T21:00:39.330Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T21:00:39.330Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T21:00:39.330Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T21:00:39.330Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53144.574 ms) ====== [2025-06-11T21:00:39.330Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-11T21:00:39.814Z] GC before operation: completed in 272.327 ms, heap usage 671.890 MB -> 93.463 MB. [2025-06-11T21:00:50.136Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:00:58.525Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:01:06.730Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:01:16.990Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:01:21.477Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:01:25.763Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:01:30.919Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:01:35.630Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:01:36.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T21:01:36.593Z] The best model improves the baseline by 14.52%. [2025-06-11T21:01:37.051Z] Top recommended movies for user id 72: [2025-06-11T21:01:37.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T21:01:37.051Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T21:01:37.051Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T21:01:37.051Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T21:01:37.051Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T21:01:37.051Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (57261.164 ms) ====== [2025-06-11T21:01:37.051Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-11T21:01:37.051Z] GC before operation: completed in 265.625 ms, heap usage 133.941 MB -> 91.454 MB. [2025-06-11T21:01:47.287Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:01:57.417Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:02:02.878Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:02:08.336Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:02:12.833Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:02:14.841Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:02:18.158Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:02:20.815Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:02:20.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T21:02:20.815Z] The best model improves the baseline by 14.52%. [2025-06-11T21:02:20.815Z] Top recommended movies for user id 72: [2025-06-11T21:02:20.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T21:02:20.815Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T21:02:20.815Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T21:02:20.815Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T21:02:20.815Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T21:02:20.815Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (43915.025 ms) ====== [2025-06-11T21:02:22.794Z] ----------------------------------- [2025-06-11T21:02:22.794Z] renaissance-movie-lens_0_PASSED [2025-06-11T21:02:22.794Z] ----------------------------------- [2025-06-11T21:02:22.794Z] [2025-06-11T21:02:22.794Z] TEST TEARDOWN: [2025-06-11T21:02:22.794Z] Nothing to be done for teardown. [2025-06-11T21:02:22.794Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 14:02:22 2025 Epoch Time (ms): 1749675742473