[2025-08-27T20:10:18.472Z] Running test renaissance-movie-lens_0 ... [2025-08-27T20:10:18.472Z] =============================================== [2025-08-27T20:10:18.472Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 16:10:18 2025 Epoch Time (ms): 1756325418280 [2025-08-27T20:10:18.472Z] variation: NoOptions [2025-08-27T20:10:18.472Z] JVM_OPTIONS: [2025-08-27T20:10:18.472Z] { \ [2025-08-27T20:10:18.472Z] echo ""; echo "TEST SETUP:"; \ [2025-08-27T20:10:18.472Z] echo "Nothing to be done for setup."; \ [2025-08-27T20:10:18.472Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756324599886/renaissance-movie-lens_0"; \ [2025-08-27T20:10:18.472Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756324599886/renaissance-movie-lens_0"; \ [2025-08-27T20:10:18.472Z] echo ""; echo "TESTING:"; \ [2025-08-27T20:10:18.472Z] "/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_1756324599886/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-27T20:10:18.472Z] 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_1756324599886/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-27T20:10:18.472Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-27T20:10:18.472Z] echo "Nothing to be done for teardown."; \ [2025-08-27T20:10:18.472Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756324599886/TestTargetResult"; [2025-08-27T20:10:18.472Z] [2025-08-27T20:10:18.472Z] TEST SETUP: [2025-08-27T20:10:18.472Z] Nothing to be done for setup. [2025-08-27T20:10:18.472Z] [2025-08-27T20:10:18.472Z] TESTING: [2025-08-27T20:10:21.580Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-27T20:10:24.706Z] 16:10:24.082 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. [2025-08-27T20:10:25.470Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-27T20:10:25.470Z] Training: 60056, validation: 20285, test: 19854 [2025-08-27T20:10:25.470Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-27T20:10:25.470Z] GC before operation: completed in 62.644 ms, heap usage 294.166 MB -> 76.009 MB. [2025-08-27T20:10:28.597Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:10:30.990Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:10:32.796Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:10:34.025Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:10:35.263Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:10:36.537Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:10:37.298Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:10:38.518Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:10:38.518Z] 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. [2025-08-27T20:10:38.518Z] The best model improves the baseline by 14.52%. [2025-08-27T20:10:38.873Z] Top recommended movies for user id 72: [2025-08-27T20:10:38.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:10:38.873Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:10:38.873Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:10:38.873Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:10:38.873Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:10:38.873Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13169.825 ms) ====== [2025-08-27T20:10:38.873Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-27T20:10:38.873Z] GC before operation: completed in 98.580 ms, heap usage 186.276 MB -> 95.806 MB. [2025-08-27T20:10:40.770Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:10:42.558Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:10:43.777Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:10:45.557Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:10:46.313Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:10:47.536Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:10:48.290Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:10:49.058Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:10:49.423Z] 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. [2025-08-27T20:10:49.423Z] The best model improves the baseline by 14.52%. [2025-08-27T20:10:49.423Z] Top recommended movies for user id 72: [2025-08-27T20:10:49.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:10:49.423Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:10:49.423Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:10:49.423Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:10:49.423Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:10:49.423Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10581.007 ms) ====== [2025-08-27T20:10:49.423Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-27T20:10:49.424Z] GC before operation: completed in 84.211 ms, heap usage 172.336 MB -> 88.503 MB. [2025-08-27T20:10:51.193Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:10:51.948Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:10:53.168Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:10:54.414Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:10:54.762Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:10:55.521Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:10:56.282Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:10:57.049Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:10:57.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-27T20:10:57.049Z] The best model improves the baseline by 14.52%. [2025-08-27T20:10:57.399Z] Top recommended movies for user id 72: [2025-08-27T20:10:57.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:10:57.399Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:10:57.399Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:10:57.399Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:10:57.399Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:10:57.399Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7696.041 ms) ====== [2025-08-27T20:10:57.399Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-27T20:10:57.399Z] GC before operation: completed in 52.197 ms, heap usage 325.937 MB -> 89.213 MB. [2025-08-27T20:10:58.636Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:10:59.905Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:01.701Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:03.006Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:03.782Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:04.556Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:05.329Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:06.107Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:06.455Z] 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. [2025-08-27T20:11:06.455Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:06.455Z] Top recommended movies for user id 72: [2025-08-27T20:11:06.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:06.455Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:06.455Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:06.455Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:06.455Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:06.455Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9070.645 ms) ====== [2025-08-27T20:11:06.455Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-27T20:11:06.455Z] GC before operation: completed in 48.451 ms, heap usage 399.188 MB -> 89.665 MB. [2025-08-27T20:11:07.690Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:08.906Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:10.127Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:11.902Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:12.658Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:13.435Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:14.196Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:14.953Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:14.953Z] 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. [2025-08-27T20:11:14.953Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:15.301Z] Top recommended movies for user id 72: [2025-08-27T20:11:15.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:15.301Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:15.301Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:15.301Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:15.301Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:15.301Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8774.855 ms) ====== [2025-08-27T20:11:15.301Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-27T20:11:15.301Z] GC before operation: completed in 53.962 ms, heap usage 259.380 MB -> 89.304 MB. [2025-08-27T20:11:16.517Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:18.312Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:19.561Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:20.783Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:21.548Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:22.298Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:23.048Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:23.840Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:23.840Z] 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. [2025-08-27T20:11:23.840Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:23.840Z] Top recommended movies for user id 72: [2025-08-27T20:11:23.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:23.840Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:23.840Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:23.840Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:23.840Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:23.840Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8621.562 ms) ====== [2025-08-27T20:11:23.840Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-27T20:11:23.840Z] GC before operation: completed in 50.352 ms, heap usage 183.643 MB -> 89.546 MB. [2025-08-27T20:11:25.612Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:26.376Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:28.136Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:28.896Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:29.658Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:30.884Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:31.649Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:32.453Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:32.807Z] 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. [2025-08-27T20:11:32.807Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:32.807Z] Top recommended movies for user id 72: [2025-08-27T20:11:32.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:32.807Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:32.807Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:32.807Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:32.807Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:32.807Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8855.349 ms) ====== [2025-08-27T20:11:32.807Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-27T20:11:32.807Z] GC before operation: completed in 56.101 ms, heap usage 193.234 MB -> 89.652 MB. [2025-08-27T20:11:34.068Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:35.873Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:36.631Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:37.858Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:38.611Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:39.367Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:40.158Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:40.938Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:41.290Z] 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. [2025-08-27T20:11:41.290Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:41.290Z] Top recommended movies for user id 72: [2025-08-27T20:11:41.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:41.290Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:41.290Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:41.290Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:41.290Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:41.290Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8497.246 ms) ====== [2025-08-27T20:11:41.290Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-27T20:11:41.290Z] GC before operation: completed in 55.420 ms, heap usage 287.570 MB -> 89.930 MB. [2025-08-27T20:11:42.552Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:43.809Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:45.048Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:46.282Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:47.054Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:47.846Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:49.133Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:49.896Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:50.257Z] 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. [2025-08-27T20:11:50.257Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:50.257Z] Top recommended movies for user id 72: [2025-08-27T20:11:50.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:50.257Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:50.257Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:50.257Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:50.257Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:50.257Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8884.751 ms) ====== [2025-08-27T20:11:50.257Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-27T20:11:50.257Z] GC before operation: completed in 71.233 ms, heap usage 207.784 MB -> 89.753 MB. [2025-08-27T20:11:52.026Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:11:53.793Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:11:55.588Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:11:56.393Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:11:57.156Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:11:57.919Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:11:58.729Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:11:59.486Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:11:59.842Z] 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. [2025-08-27T20:11:59.842Z] The best model improves the baseline by 14.52%. [2025-08-27T20:11:59.842Z] Top recommended movies for user id 72: [2025-08-27T20:11:59.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:11:59.842Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:11:59.842Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:11:59.842Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:11:59.842Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:11:59.842Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9433.877 ms) ====== [2025-08-27T20:11:59.842Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-27T20:11:59.842Z] GC before operation: completed in 56.906 ms, heap usage 114.913 MB -> 89.797 MB. [2025-08-27T20:12:01.077Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:02.314Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:03.563Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:04.803Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:05.587Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:05.965Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:06.730Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:07.526Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:07.526Z] 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. [2025-08-27T20:12:07.526Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:07.877Z] Top recommended movies for user id 72: [2025-08-27T20:12:07.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:07.877Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:07.877Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:07.877Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:07.877Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:07.877Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7911.453 ms) ====== [2025-08-27T20:12:07.877Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-27T20:12:07.877Z] GC before operation: completed in 72.357 ms, heap usage 198.467 MB -> 89.598 MB. [2025-08-27T20:12:09.106Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:10.340Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:12.131Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:12.904Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:13.681Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:14.439Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:15.215Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:15.968Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:15.968Z] 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. [2025-08-27T20:12:15.968Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:15.968Z] Top recommended movies for user id 72: [2025-08-27T20:12:15.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:15.968Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:15.968Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:15.968Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:15.968Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:15.968Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8198.139 ms) ====== [2025-08-27T20:12:15.968Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-27T20:12:15.968Z] GC before operation: completed in 51.617 ms, heap usage 236.752 MB -> 89.906 MB. [2025-08-27T20:12:17.197Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:18.439Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:19.746Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:20.975Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:21.741Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:22.498Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:23.262Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:24.046Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:24.046Z] 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. [2025-08-27T20:12:24.046Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:24.046Z] Top recommended movies for user id 72: [2025-08-27T20:12:24.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:24.046Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:24.046Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:24.046Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:24.046Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:24.046Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8098.672 ms) ====== [2025-08-27T20:12:24.047Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-27T20:12:24.396Z] GC before operation: completed in 75.487 ms, heap usage 256.470 MB -> 90.015 MB. [2025-08-27T20:12:25.611Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:26.851Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:27.631Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:28.394Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:29.168Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:29.543Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:30.308Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:30.693Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:31.042Z] 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. [2025-08-27T20:12:31.042Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:31.042Z] Top recommended movies for user id 72: [2025-08-27T20:12:31.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:31.042Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:31.042Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:31.042Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:31.042Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:31.042Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6767.781 ms) ====== [2025-08-27T20:12:31.042Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-27T20:12:31.042Z] GC before operation: completed in 45.820 ms, heap usage 158.857 MB -> 89.963 MB. [2025-08-27T20:12:32.297Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:33.549Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:34.784Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:36.024Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:36.372Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:37.132Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:37.897Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:38.266Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:38.616Z] 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. [2025-08-27T20:12:38.616Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:38.616Z] Top recommended movies for user id 72: [2025-08-27T20:12:38.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:38.616Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:38.616Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:38.616Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:38.616Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:38.616Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7458.900 ms) ====== [2025-08-27T20:12:38.616Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-27T20:12:38.616Z] GC before operation: completed in 48.076 ms, heap usage 332.801 MB -> 90.342 MB. [2025-08-27T20:12:39.829Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:40.582Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:41.820Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:43.074Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:43.830Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:44.587Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:44.946Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:45.696Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:45.696Z] 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. [2025-08-27T20:12:45.696Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:45.696Z] Top recommended movies for user id 72: [2025-08-27T20:12:45.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:45.696Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:45.696Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:45.696Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:45.696Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:45.696Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7205.131 ms) ====== [2025-08-27T20:12:45.696Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-27T20:12:45.696Z] GC before operation: completed in 44.737 ms, heap usage 313.292 MB -> 90.009 MB. [2025-08-27T20:12:46.918Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:48.146Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:48.942Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:50.172Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:50.959Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:51.332Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:52.571Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:12:52.924Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:12:52.924Z] 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. [2025-08-27T20:12:52.924Z] The best model improves the baseline by 14.52%. [2025-08-27T20:12:53.273Z] Top recommended movies for user id 72: [2025-08-27T20:12:53.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:12:53.273Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:12:53.273Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:12:53.273Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:12:53.273Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:12:53.273Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7302.055 ms) ====== [2025-08-27T20:12:53.273Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-27T20:12:53.273Z] GC before operation: completed in 56.785 ms, heap usage 252.458 MB -> 92.483 MB. [2025-08-27T20:12:54.505Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:12:55.270Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:12:56.516Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:12:57.754Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:12:58.105Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:12:58.877Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:12:59.645Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:13:00.427Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:13:00.427Z] 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. [2025-08-27T20:13:00.427Z] The best model improves the baseline by 14.52%. [2025-08-27T20:13:00.427Z] Top recommended movies for user id 72: [2025-08-27T20:13:00.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:13:00.427Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:13:00.427Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:13:00.427Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:13:00.427Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:13:00.427Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7296.823 ms) ====== [2025-08-27T20:13:00.427Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-27T20:13:00.427Z] GC before operation: completed in 59.509 ms, heap usage 345.663 MB -> 90.057 MB. [2025-08-27T20:13:01.693Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:13:02.947Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:13:04.203Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:13:04.971Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:13:05.740Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:13:06.492Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:13:07.275Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:13:07.643Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:13:08.013Z] 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. [2025-08-27T20:13:08.013Z] The best model improves the baseline by 14.52%. [2025-08-27T20:13:08.013Z] Top recommended movies for user id 72: [2025-08-27T20:13:08.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:13:08.013Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:13:08.013Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:13:08.013Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:13:08.013Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:13:08.013Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7409.488 ms) ====== [2025-08-27T20:13:08.013Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-27T20:13:08.013Z] GC before operation: completed in 53.279 ms, heap usage 205.858 MB -> 89.926 MB. [2025-08-27T20:13:09.228Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T20:13:10.489Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T20:13:11.256Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T20:13:12.485Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T20:13:13.269Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T20:13:13.630Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T20:13:14.389Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T20:13:15.154Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T20:13:15.154Z] 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. [2025-08-27T20:13:15.154Z] The best model improves the baseline by 14.52%. [2025-08-27T20:13:15.507Z] Top recommended movies for user id 72: [2025-08-27T20:13:15.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T20:13:15.507Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T20:13:15.507Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T20:13:15.507Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T20:13:15.507Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T20:13:15.507Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7345.325 ms) ====== [2025-08-27T20:13:15.507Z] ----------------------------------- [2025-08-27T20:13:15.508Z] renaissance-movie-lens_0_PASSED [2025-08-27T20:13:15.508Z] ----------------------------------- [2025-08-27T20:13:15.508Z] [2025-08-27T20:13:15.508Z] TEST TEARDOWN: [2025-08-27T20:13:15.508Z] Nothing to be done for teardown. [2025-08-27T20:13:15.508Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 16:13:15 2025 Epoch Time (ms): 1756325595352