[2025-10-01T23:01:44.580Z] Running test renaissance-movie-lens_0 ... [2025-10-01T23:01:44.580Z] =============================================== [2025-10-01T23:01:44.580Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 19:01:43 2025 Epoch Time (ms): 1759359703926 [2025-10-01T23:01:44.580Z] variation: NoOptions [2025-10-01T23:01:44.580Z] JVM_OPTIONS: [2025-10-01T23:01:44.580Z] { \ [2025-10-01T23:01:44.580Z] echo ""; echo "TEST SETUP:"; \ [2025-10-01T23:01:44.580Z] echo "Nothing to be done for setup."; \ [2025-10-01T23:01:44.580Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17593590554274/renaissance-movie-lens_0"; \ [2025-10-01T23:01:44.580Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17593590554274/renaissance-movie-lens_0"; \ [2025-10-01T23:01:44.581Z] echo ""; echo "TESTING:"; \ [2025-10-01T23:01:44.581Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17593590554274/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-01T23:01:44.581Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17593590554274/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-01T23:01:44.581Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-01T23:01:44.581Z] echo "Nothing to be done for teardown."; \ [2025-10-01T23:01:44.581Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17593590554274/TestTargetResult"; [2025-10-01T23:01:44.581Z] [2025-10-01T23:01:44.581Z] TEST SETUP: [2025-10-01T23:01:44.581Z] Nothing to be done for setup. [2025-10-01T23:01:44.581Z] [2025-10-01T23:01:44.581Z] TESTING: [2025-10-01T23:01:47.715Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-10-01T23:01:51.692Z] 19:01:50.861 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. [2025-10-01T23:01:52.497Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-01T23:01:52.850Z] Training: 60056, validation: 20285, test: 19854 [2025-10-01T23:01:52.850Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-01T23:01:52.850Z] GC before operation: completed in 73.443 ms, heap usage 178.061 MB -> 76.055 MB. [2025-10-01T23:01:56.977Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:01:59.360Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:01.142Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:02.968Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:04.247Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:05.021Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:06.257Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:07.022Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:07.393Z] 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. [2025-10-01T23:02:07.394Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:07.394Z] Top recommended movies for user id 72: [2025-10-01T23:02:07.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:07.394Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:07.394Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:07.394Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:07.394Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:07.394Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14413.280 ms) ====== [2025-10-01T23:02:07.394Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-01T23:02:07.394Z] GC before operation: completed in 103.971 ms, heap usage 212.855 MB -> 97.857 MB. [2025-10-01T23:02:09.178Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:02:11.164Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:12.960Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:14.197Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:15.429Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:16.194Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:16.969Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:18.205Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:18.205Z] 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. [2025-10-01T23:02:18.205Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:18.205Z] Top recommended movies for user id 72: [2025-10-01T23:02:18.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:18.205Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:18.205Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:18.205Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:18.205Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:18.205Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10769.645 ms) ====== [2025-10-01T23:02:18.206Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-01T23:02:18.206Z] GC before operation: completed in 78.037 ms, heap usage 289.759 MB -> 88.516 MB. [2025-10-01T23:02:19.974Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:02:21.266Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:23.086Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:24.884Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:25.649Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:26.447Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:27.680Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:28.950Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:28.950Z] 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. [2025-10-01T23:02:28.950Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:28.950Z] Top recommended movies for user id 72: [2025-10-01T23:02:28.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:28.950Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:28.950Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:28.950Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:28.950Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:28.950Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10611.405 ms) ====== [2025-10-01T23:02:28.950Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-01T23:02:28.950Z] GC before operation: completed in 64.421 ms, heap usage 341.182 MB -> 89.406 MB. [2025-10-01T23:02:30.726Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:02:32.501Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:33.731Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:35.516Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:36.284Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:37.516Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:38.280Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:39.550Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:39.550Z] 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. [2025-10-01T23:02:39.550Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:39.550Z] Top recommended movies for user id 72: [2025-10-01T23:02:39.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:39.550Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:39.550Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:39.550Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:39.550Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:39.550Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10528.211 ms) ====== [2025-10-01T23:02:39.550Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-01T23:02:39.550Z] GC before operation: completed in 58.439 ms, heap usage 327.285 MB -> 89.601 MB. [2025-10-01T23:02:41.318Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:02:42.552Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:44.386Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:46.170Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:46.953Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:47.712Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:48.938Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:49.716Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:49.716Z] 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. [2025-10-01T23:02:49.716Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:49.716Z] Top recommended movies for user id 72: [2025-10-01T23:02:49.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:49.716Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:49.716Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:49.716Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:49.716Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:49.716Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10229.293 ms) ====== [2025-10-01T23:02:49.716Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-01T23:02:50.065Z] GC before operation: completed in 55.157 ms, heap usage 399.898 MB -> 89.673 MB. [2025-10-01T23:02:51.279Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:02:53.071Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:02:54.294Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:02:55.525Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:02:56.290Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:02:57.524Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:02:58.316Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:02:59.099Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:02:59.099Z] 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. [2025-10-01T23:02:59.099Z] The best model improves the baseline by 14.52%. [2025-10-01T23:02:59.099Z] Top recommended movies for user id 72: [2025-10-01T23:02:59.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:02:59.099Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:02:59.099Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:02:59.099Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:02:59.099Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:02:59.099Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9293.559 ms) ====== [2025-10-01T23:02:59.099Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-01T23:02:59.099Z] GC before operation: completed in 65.536 ms, heap usage 449.675 MB -> 90.119 MB. [2025-10-01T23:03:00.878Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:02.138Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:03.390Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:05.198Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:05.583Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:06.860Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:07.631Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:08.402Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:08.402Z] 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. [2025-10-01T23:03:08.402Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:08.402Z] Top recommended movies for user id 72: [2025-10-01T23:03:08.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:08.402Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:08.402Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:08.402Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:08.402Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:08.402Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9217.132 ms) ====== [2025-10-01T23:03:08.402Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-01T23:03:08.402Z] GC before operation: completed in 82.720 ms, heap usage 177.827 MB -> 89.590 MB. [2025-10-01T23:03:10.194Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:11.413Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:12.652Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:13.896Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:14.665Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:15.426Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:16.650Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:17.417Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:17.417Z] 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. [2025-10-01T23:03:17.417Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:17.768Z] Top recommended movies for user id 72: [2025-10-01T23:03:17.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:17.768Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:17.768Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:17.768Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:17.768Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:17.768Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9088.750 ms) ====== [2025-10-01T23:03:17.768Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-01T23:03:17.768Z] GC before operation: completed in 82.424 ms, heap usage 433.203 MB -> 90.278 MB. [2025-10-01T23:03:19.027Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:20.262Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:22.076Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:22.836Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:24.100Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:24.889Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:25.645Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:26.416Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:26.416Z] 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. [2025-10-01T23:03:26.416Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:26.768Z] Top recommended movies for user id 72: [2025-10-01T23:03:26.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:26.768Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:26.768Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:26.768Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:26.768Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:26.768Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8923.530 ms) ====== [2025-10-01T23:03:26.768Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-01T23:03:26.768Z] GC before operation: completed in 69.089 ms, heap usage 336.862 MB -> 90.010 MB. [2025-10-01T23:03:28.048Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:29.296Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:31.065Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:31.819Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:33.055Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:33.836Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:34.595Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:35.387Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:35.387Z] 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. [2025-10-01T23:03:35.741Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:35.741Z] Top recommended movies for user id 72: [2025-10-01T23:03:35.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:35.741Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:35.741Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:35.741Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:35.741Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:35.741Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8922.242 ms) ====== [2025-10-01T23:03:35.741Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-01T23:03:35.741Z] GC before operation: completed in 58.070 ms, heap usage 314.906 MB -> 90.074 MB. [2025-10-01T23:03:37.022Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:38.807Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:40.065Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:41.292Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:42.128Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:42.882Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:44.171Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:44.958Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:44.958Z] 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. [2025-10-01T23:03:44.958Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:44.958Z] Top recommended movies for user id 72: [2025-10-01T23:03:44.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:44.958Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:44.958Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:44.958Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:44.958Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:44.958Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9368.924 ms) ====== [2025-10-01T23:03:44.958Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-01T23:03:45.312Z] GC before operation: completed in 66.123 ms, heap usage 95.293 MB -> 89.410 MB. [2025-10-01T23:03:47.121Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:48.354Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:50.116Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:03:51.369Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:03:52.129Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:03:52.893Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:03:53.669Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:03:54.940Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:03:54.940Z] 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. [2025-10-01T23:03:54.940Z] The best model improves the baseline by 14.52%. [2025-10-01T23:03:54.940Z] Top recommended movies for user id 72: [2025-10-01T23:03:54.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:03:54.940Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:03:54.940Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:03:54.940Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:03:54.940Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:03:54.940Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9802.312 ms) ====== [2025-10-01T23:03:54.940Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-01T23:03:54.940Z] GC before operation: completed in 64.716 ms, heap usage 121.832 MB -> 89.791 MB. [2025-10-01T23:03:56.240Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:03:58.038Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:03:59.836Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:00.632Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:01.910Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:02.282Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:03.576Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:03.965Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:04.332Z] 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. [2025-10-01T23:04:04.332Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:04.332Z] Top recommended movies for user id 72: [2025-10-01T23:04:04.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:04.332Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:04.332Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:04.332Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:04.332Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:04.332Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9291.079 ms) ====== [2025-10-01T23:04:04.332Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-01T23:04:04.332Z] GC before operation: completed in 55.871 ms, heap usage 153.896 MB -> 89.991 MB. [2025-10-01T23:04:05.575Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:07.384Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:08.627Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:09.890Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:10.646Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:11.419Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:12.183Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:13.462Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:13.462Z] 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. [2025-10-01T23:04:13.462Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:13.462Z] Top recommended movies for user id 72: [2025-10-01T23:04:13.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:13.462Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:13.462Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:13.462Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:13.462Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:13.462Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9051.299 ms) ====== [2025-10-01T23:04:13.462Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-01T23:04:13.462Z] GC before operation: completed in 82.703 ms, heap usage 230.722 MB -> 89.961 MB. [2025-10-01T23:04:15.255Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:16.050Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:17.825Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:19.050Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:19.808Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:21.052Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:21.814Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:23.063Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:23.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-01T23:04:23.063Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:23.063Z] Top recommended movies for user id 72: [2025-10-01T23:04:23.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:23.063Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:23.063Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:23.063Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:23.063Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:23.063Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9580.126 ms) ====== [2025-10-01T23:04:23.063Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-01T23:04:23.063Z] GC before operation: completed in 68.214 ms, heap usage 101.998 MB -> 89.944 MB. [2025-10-01T23:04:24.874Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:26.125Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:27.885Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:29.694Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:30.449Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:31.211Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:31.986Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:32.771Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:33.132Z] 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. [2025-10-01T23:04:33.132Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:33.132Z] Top recommended movies for user id 72: [2025-10-01T23:04:33.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:33.132Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:33.132Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:33.132Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:33.132Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:33.132Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9923.020 ms) ====== [2025-10-01T23:04:33.132Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-01T23:04:33.132Z] GC before operation: completed in 67.520 ms, heap usage 130.888 MB -> 89.830 MB. [2025-10-01T23:04:34.934Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:36.167Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:37.985Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:39.227Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:40.445Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:41.210Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:41.973Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:43.224Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:43.224Z] 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. [2025-10-01T23:04:43.224Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:43.224Z] Top recommended movies for user id 72: [2025-10-01T23:04:43.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:43.224Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:43.224Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:43.224Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:43.224Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:43.224Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10120.971 ms) ====== [2025-10-01T23:04:43.224Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-01T23:04:43.224Z] GC before operation: completed in 74.643 ms, heap usage 187.953 MB -> 90.078 MB. [2025-10-01T23:04:44.995Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:46.215Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:47.983Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:49.225Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:50.003Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:04:51.235Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:04:52.007Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:04:52.804Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:04:53.162Z] 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. [2025-10-01T23:04:53.162Z] The best model improves the baseline by 14.52%. [2025-10-01T23:04:53.162Z] Top recommended movies for user id 72: [2025-10-01T23:04:53.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:04:53.162Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:04:53.162Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:04:53.162Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:04:53.162Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:04:53.162Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9877.028 ms) ====== [2025-10-01T23:04:53.162Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-01T23:04:53.162Z] GC before operation: completed in 61.415 ms, heap usage 245.116 MB -> 90.005 MB. [2025-10-01T23:04:55.033Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:04:56.266Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:04:57.501Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:04:59.281Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:04:59.690Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:05:00.963Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:05:01.745Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:05:02.565Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:05:02.565Z] 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. [2025-10-01T23:05:02.565Z] The best model improves the baseline by 14.52%. [2025-10-01T23:05:02.933Z] Top recommended movies for user id 72: [2025-10-01T23:05:02.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:05:02.934Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:05:02.934Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:05:02.934Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:05:02.934Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:05:02.934Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9472.778 ms) ====== [2025-10-01T23:05:02.934Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-01T23:05:02.934Z] GC before operation: completed in 70.468 ms, heap usage 218.070 MB -> 90.033 MB. [2025-10-01T23:05:04.207Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:05:05.495Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:05:07.280Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:05:08.888Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:05:09.648Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:05:10.406Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:05:11.229Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:05:11.988Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:05:12.340Z] 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. [2025-10-01T23:05:12.340Z] The best model improves the baseline by 14.52%. [2025-10-01T23:05:12.340Z] Top recommended movies for user id 72: [2025-10-01T23:05:12.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:05:12.340Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:05:12.340Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:05:12.340Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:05:12.340Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:05:12.340Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9515.600 ms) ====== [2025-10-01T23:05:12.696Z] ----------------------------------- [2025-10-01T23:05:12.696Z] renaissance-movie-lens_0_PASSED [2025-10-01T23:05:12.696Z] ----------------------------------- [2025-10-01T23:05:12.696Z] [2025-10-01T23:05:12.696Z] TEST TEARDOWN: [2025-10-01T23:05:12.696Z] Nothing to be done for teardown. [2025-10-01T23:05:12.696Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 19:05:12 2025 Epoch Time (ms): 1759359912035