[2025-06-18T22:04:30.134Z] Running test renaissance-movie-lens_0 ... [2025-06-18T22:04:30.134Z] =============================================== [2025-06-18T22:04:30.622Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 15:04:29 2025 Epoch Time (ms): 1750284269908 [2025-06-18T22:04:31.126Z] variation: NoOptions [2025-06-18T22:04:31.126Z] JVM_OPTIONS: [2025-06-18T22:04:31.126Z] { \ [2025-06-18T22:04:31.126Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T22:04:31.126Z] echo "Nothing to be done for setup."; \ [2025-06-18T22:04:31.126Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502793121144/renaissance-movie-lens_0"; \ [2025-06-18T22:04:31.126Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502793121144/renaissance-movie-lens_0"; \ [2025-06-18T22:04:31.126Z] echo ""; echo "TESTING:"; \ [2025-06-18T22:04:31.126Z] "/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_17502793121144/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T22:04:31.126Z] 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_17502793121144/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T22:04:31.126Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T22:04:31.126Z] echo "Nothing to be done for teardown."; \ [2025-06-18T22:04:31.126Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502793121144/TestTargetResult"; [2025-06-18T22:04:31.553Z] [2025-06-18T22:04:31.553Z] TEST SETUP: [2025-06-18T22:04:31.553Z] Nothing to be done for setup. [2025-06-18T22:04:31.553Z] [2025-06-18T22:04:31.553Z] TESTING: [2025-06-18T22:04:52.982Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-18T22:05:14.772Z] 15:05:14.000 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T22:05:23.139Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T22:05:25.582Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T22:05:25.582Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T22:05:26.253Z] GC before operation: completed in 1202.578 ms, heap usage 409.551 MB -> 75.854 MB. [2025-06-18T22:05:57.431Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:06:20.791Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:06:43.888Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:06:57.059Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:07:06.754Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:07:18.706Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:07:28.225Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:07:39.534Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:07:40.040Z] 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. [2025-06-18T22:07:40.040Z] The best model improves the baseline by 14.52%. [2025-06-18T22:07:41.231Z] Top recommended movies for user id 72: [2025-06-18T22:07:41.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:07:41.231Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:07:41.231Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:07:41.231Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:07:41.231Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:07:41.231Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (134383.895 ms) ====== [2025-06-18T22:07:41.231Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T22:07:41.231Z] GC before operation: completed in 393.412 ms, heap usage 689.415 MB -> 93.777 MB. [2025-06-18T22:08:04.171Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:08:21.425Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:08:44.014Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:08:56.925Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:09:07.551Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:09:19.002Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:09:28.603Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:09:39.943Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:09:41.101Z] 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. [2025-06-18T22:09:41.102Z] The best model improves the baseline by 14.52%. [2025-06-18T22:09:42.348Z] Top recommended movies for user id 72: [2025-06-18T22:09:42.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:09:42.348Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:09:42.348Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:09:42.348Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:09:42.348Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:09:42.348Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (120699.869 ms) ====== [2025-06-18T22:09:42.348Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T22:09:42.771Z] GC before operation: completed in 935.570 ms, heap usage 676.181 MB -> 92.093 MB. [2025-06-18T22:09:58.838Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:10:22.079Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:10:40.353Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:10:53.138Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:11:04.418Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:11:17.838Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:11:25.667Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:11:34.832Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:11:35.293Z] 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. [2025-06-18T22:11:35.293Z] The best model improves the baseline by 14.52%. [2025-06-18T22:11:36.418Z] Top recommended movies for user id 72: [2025-06-18T22:11:36.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:11:36.419Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:11:36.419Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:11:36.419Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:11:36.419Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:11:36.419Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (113811.591 ms) ====== [2025-06-18T22:11:36.419Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T22:11:36.900Z] GC before operation: completed in 394.129 ms, heap usage 907.229 MB -> 95.589 MB. [2025-06-18T22:11:59.581Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:12:12.665Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:12:31.605Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:12:50.727Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:12:57.672Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:13:16.452Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:13:21.325Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:13:30.883Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:13:32.930Z] 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. [2025-06-18T22:13:32.930Z] The best model improves the baseline by 14.52%. [2025-06-18T22:13:33.359Z] Top recommended movies for user id 72: [2025-06-18T22:13:33.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:13:33.359Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:13:33.359Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:13:33.359Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:13:33.359Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:13:33.359Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (116326.231 ms) ====== [2025-06-18T22:13:33.359Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T22:13:33.829Z] GC before operation: completed in 328.848 ms, heap usage 264.452 MB -> 91.053 MB. [2025-06-18T22:13:55.481Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:14:14.228Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:14:30.053Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:14:42.820Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:14:48.557Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:14:55.808Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:15:02.981Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:15:13.444Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:15:13.444Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:15:13.444Z] The best model improves the baseline by 14.52%. [2025-06-18T22:15:13.444Z] Top recommended movies for user id 72: [2025-06-18T22:15:13.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:15:13.444Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:15:13.444Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:15:13.444Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:15:13.444Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:15:13.444Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (99658.905 ms) ====== [2025-06-18T22:15:13.444Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T22:15:15.231Z] GC before operation: completed in 1510.107 ms, heap usage 453.284 MB -> 89.516 MB. [2025-06-18T22:15:30.321Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:15:50.078Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:16:08.556Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:16:27.557Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:16:37.076Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:16:44.625Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:16:53.599Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:17:00.974Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:17:00.974Z] 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. [2025-06-18T22:17:01.500Z] The best model improves the baseline by 14.52%. [2025-06-18T22:17:02.646Z] Top recommended movies for user id 72: [2025-06-18T22:17:02.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:17:02.646Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:17:02.646Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:17:02.646Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:17:02.646Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:17:02.646Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (107408.113 ms) ====== [2025-06-18T22:17:02.646Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T22:17:02.646Z] GC before operation: completed in 317.592 ms, heap usage 234.822 MB -> 89.477 MB. [2025-06-18T22:17:20.520Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:17:42.895Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:17:58.412Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:18:16.601Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:18:26.031Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:18:35.237Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:18:42.326Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:18:49.449Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:18:49.893Z] 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. [2025-06-18T22:18:49.893Z] The best model improves the baseline by 14.52%. [2025-06-18T22:18:50.859Z] Top recommended movies for user id 72: [2025-06-18T22:18:50.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:18:50.859Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:18:50.859Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:18:50.859Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:18:50.859Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:18:50.859Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (107788.496 ms) ====== [2025-06-18T22:18:50.859Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T22:18:50.859Z] GC before operation: completed in 301.268 ms, heap usage 727.790 MB -> 93.346 MB. [2025-06-18T22:19:07.005Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:19:22.452Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:19:35.902Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:19:51.080Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:20:01.532Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:20:10.571Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:20:21.972Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:20:29.750Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:20:32.304Z] 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. [2025-06-18T22:20:32.304Z] The best model improves the baseline by 14.52%. [2025-06-18T22:20:32.304Z] Top recommended movies for user id 72: [2025-06-18T22:20:32.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:20:32.304Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:20:32.304Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:20:32.304Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:20:32.304Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:20:32.304Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (101636.205 ms) ====== [2025-06-18T22:20:32.304Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T22:20:32.737Z] GC before operation: completed in 332.334 ms, heap usage 468.269 MB -> 90.004 MB. [2025-06-18T22:20:51.186Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:21:03.964Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:21:22.118Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:21:34.942Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:21:51.338Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:21:57.015Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:22:08.380Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:22:17.562Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:22:18.746Z] 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. [2025-06-18T22:22:19.413Z] The best model improves the baseline by 14.52%. [2025-06-18T22:22:20.360Z] Top recommended movies for user id 72: [2025-06-18T22:22:20.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:22:20.360Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:22:20.360Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:22:20.360Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:22:20.360Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:22:20.360Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (107500.329 ms) ====== [2025-06-18T22:22:20.360Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T22:22:20.360Z] GC before operation: completed in 285.673 ms, heap usage 628.396 MB -> 93.392 MB. [2025-06-18T22:22:38.702Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:22:51.535Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:23:04.105Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:23:19.330Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:23:28.255Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:23:39.647Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:23:46.749Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:23:55.657Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:23:56.192Z] 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. [2025-06-18T22:23:56.671Z] The best model improves the baseline by 14.52%. [2025-06-18T22:23:57.165Z] Top recommended movies for user id 72: [2025-06-18T22:23:57.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:23:57.165Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:23:57.165Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:23:57.165Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:23:57.165Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:23:57.165Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (96538.450 ms) ====== [2025-06-18T22:23:57.165Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T22:23:58.657Z] GC before operation: completed in 280.788 ms, heap usage 134.326 MB -> 93.270 MB. [2025-06-18T22:24:20.448Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:24:43.238Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:24:55.641Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:25:08.805Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:25:16.517Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:25:27.076Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:25:36.756Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:25:44.028Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:25:45.142Z] 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. [2025-06-18T22:25:45.142Z] The best model improves the baseline by 14.52%. [2025-06-18T22:25:45.727Z] Top recommended movies for user id 72: [2025-06-18T22:25:45.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:25:45.727Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:25:45.727Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:25:45.727Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:25:45.727Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:25:45.727Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (108074.087 ms) ====== [2025-06-18T22:25:45.727Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T22:25:45.727Z] GC before operation: completed in 305.719 ms, heap usage 166.473 MB -> 91.085 MB. [2025-06-18T22:26:05.367Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:26:18.506Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:26:36.737Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:26:47.551Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:26:53.663Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:27:01.038Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:27:10.566Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:27:18.555Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:27:19.662Z] 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. [2025-06-18T22:27:19.662Z] The best model improves the baseline by 14.52%. [2025-06-18T22:27:19.662Z] Top recommended movies for user id 72: [2025-06-18T22:27:19.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:27:19.662Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:27:19.662Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:27:19.662Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:27:19.662Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:27:19.662Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (94109.737 ms) ====== [2025-06-18T22:27:19.662Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T22:27:20.131Z] GC before operation: completed in 370.075 ms, heap usage 673.142 MB -> 94.031 MB. [2025-06-18T22:27:33.211Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:27:48.987Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:28:04.847Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:28:20.187Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:28:28.991Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:28:41.143Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:28:46.731Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:28:57.221Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:28:58.296Z] 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. [2025-06-18T22:28:58.296Z] The best model improves the baseline by 14.52%. [2025-06-18T22:29:00.003Z] Top recommended movies for user id 72: [2025-06-18T22:29:00.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:29:00.003Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:29:00.003Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:29:00.003Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:29:00.003Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:29:00.003Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (99578.498 ms) ====== [2025-06-18T22:29:00.003Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T22:29:00.003Z] GC before operation: completed in 279.628 ms, heap usage 233.068 MB -> 89.835 MB. [2025-06-18T22:29:18.221Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:29:31.812Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:29:50.527Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:30:08.537Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:30:16.548Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:30:28.321Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:30:36.186Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:30:42.759Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:30:43.528Z] 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. [2025-06-18T22:30:43.528Z] The best model improves the baseline by 14.52%. [2025-06-18T22:30:45.461Z] Top recommended movies for user id 72: [2025-06-18T22:30:45.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:30:45.461Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:30:45.461Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:30:45.461Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:30:45.461Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:30:45.461Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (105033.913 ms) ====== [2025-06-18T22:30:45.461Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T22:30:45.461Z] GC before operation: completed in 288.915 ms, heap usage 125.440 MB -> 93.344 MB. [2025-06-18T22:31:00.395Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:31:16.028Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:31:28.979Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:31:41.947Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:31:51.121Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:31:58.591Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:32:08.201Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:32:15.164Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:32:16.581Z] 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. [2025-06-18T22:32:16.581Z] The best model improves the baseline by 14.52%. [2025-06-18T22:32:17.071Z] Top recommended movies for user id 72: [2025-06-18T22:32:17.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:32:17.071Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:32:17.071Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:32:17.071Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:32:17.071Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:32:17.071Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (91775.026 ms) ====== [2025-06-18T22:32:17.071Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T22:32:17.618Z] GC before operation: completed in 345.043 ms, heap usage 141.459 MB -> 91.965 MB. [2025-06-18T22:32:40.575Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:32:51.031Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:33:03.573Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:33:16.667Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:33:25.320Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:33:34.322Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:33:44.232Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:33:53.966Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:33:54.421Z] 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. [2025-06-18T22:33:54.421Z] The best model improves the baseline by 14.52%. [2025-06-18T22:33:54.872Z] Top recommended movies for user id 72: [2025-06-18T22:33:54.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:33:54.872Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:33:54.872Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:33:54.872Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:33:54.872Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:33:54.872Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (97318.964 ms) ====== [2025-06-18T22:33:54.872Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T22:33:55.300Z] GC before operation: completed in 376.898 ms, heap usage 346.871 MB -> 89.991 MB. [2025-06-18T22:34:10.649Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:34:29.097Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:34:44.815Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:34:55.085Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:35:05.817Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:35:12.082Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:35:19.604Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:35:27.992Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:35:27.992Z] 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. [2025-06-18T22:35:27.992Z] The best model improves the baseline by 14.52%. [2025-06-18T22:35:27.992Z] Top recommended movies for user id 72: [2025-06-18T22:35:27.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:35:27.992Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:35:27.992Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:35:27.992Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:35:27.992Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:35:27.992Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (92522.066 ms) ====== [2025-06-18T22:35:27.992Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T22:35:27.992Z] GC before operation: completed in 282.310 ms, heap usage 841.345 MB -> 97.684 MB. [2025-06-18T22:35:46.153Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:36:01.904Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:36:17.394Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:36:28.664Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:36:35.216Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:36:44.605Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:36:53.496Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:37:04.171Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:37:06.094Z] 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. [2025-06-18T22:37:06.095Z] The best model improves the baseline by 14.52%. [2025-06-18T22:37:06.967Z] Top recommended movies for user id 72: [2025-06-18T22:37:06.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:37:06.967Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:37:06.967Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:37:06.967Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:37:06.967Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:37:06.967Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (99055.899 ms) ====== [2025-06-18T22:37:06.967Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T22:37:07.455Z] GC before operation: completed in 209.774 ms, heap usage 198.419 MB -> 91.400 MB. [2025-06-18T22:37:27.309Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:37:39.900Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:37:53.443Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:38:12.621Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:38:20.429Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:38:32.068Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:38:42.545Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:38:47.450Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:38:48.742Z] 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. [2025-06-18T22:38:49.183Z] The best model improves the baseline by 14.52%. [2025-06-18T22:38:49.183Z] Top recommended movies for user id 72: [2025-06-18T22:38:49.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:38:49.183Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:38:49.183Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:38:49.183Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:38:49.183Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:38:49.183Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (101973.462 ms) ====== [2025-06-18T22:38:49.183Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T22:38:49.624Z] GC before operation: completed in 287.227 ms, heap usage 404.481 MB -> 90.021 MB. [2025-06-18T22:39:05.292Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:39:21.084Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:39:33.971Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:39:52.007Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:39:59.209Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:40:06.963Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:40:16.115Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:40:25.441Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:40:25.441Z] 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. [2025-06-18T22:40:25.441Z] The best model improves the baseline by 14.52%. [2025-06-18T22:40:25.942Z] Top recommended movies for user id 72: [2025-06-18T22:40:25.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:40:25.942Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:40:25.942Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:40:25.942Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:40:25.942Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:40:25.942Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (96497.455 ms) ====== [2025-06-18T22:40:30.921Z] ----------------------------------- [2025-06-18T22:40:30.921Z] renaissance-movie-lens_0_PASSED [2025-06-18T22:40:30.921Z] ----------------------------------- [2025-06-18T22:40:30.921Z] [2025-06-18T22:40:30.921Z] TEST TEARDOWN: [2025-06-18T22:40:30.921Z] Nothing to be done for teardown. [2025-06-18T22:40:30.921Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 15:40:29 2025 Epoch Time (ms): 1750286429773