[2025-10-01T23:07:18.521Z] Running test renaissance-movie-lens_0 ... [2025-10-01T23:07:18.521Z] =============================================== [2025-10-01T23:07:18.521Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 16:07:15 2025 Epoch Time (ms): 1759360035706 [2025-10-01T23:07:18.521Z] variation: NoOptions [2025-10-01T23:07:18.521Z] JVM_OPTIONS: [2025-10-01T23:07:18.521Z] { \ [2025-10-01T23:07:18.521Z] echo ""; echo "TEST SETUP:"; \ [2025-10-01T23:07:18.521Z] echo "Nothing to be done for setup."; \ [2025-10-01T23:07:18.521Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17593541385335/renaissance-movie-lens_0"; \ [2025-10-01T23:07:18.521Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17593541385335/renaissance-movie-lens_0"; \ [2025-10-01T23:07:18.521Z] echo ""; echo "TESTING:"; \ [2025-10-01T23:07:18.521Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17593541385335/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-01T23:07:18.522Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17593541385335/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-01T23:07:18.522Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-01T23:07:18.522Z] echo "Nothing to be done for teardown."; \ [2025-10-01T23:07:18.522Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17593541385335/TestTargetResult"; [2025-10-01T23:07:18.522Z] [2025-10-01T23:07:18.522Z] TEST SETUP: [2025-10-01T23:07:18.522Z] Nothing to be done for setup. [2025-10-01T23:07:18.522Z] [2025-10-01T23:07:18.522Z] TESTING: [2025-10-01T23:07:48.993Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-10-01T23:08:10.966Z] 16:08:09.184 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. [2025-10-01T23:08:19.023Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-01T23:08:22.694Z] Training: 60056, validation: 20285, test: 19854 [2025-10-01T23:08:22.694Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-01T23:08:24.064Z] GC before operation: completed in 1572.872 ms, heap usage 509.517 MB -> 76.175 MB. [2025-10-01T23:09:01.516Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:09:34.119Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:09:53.320Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:10:17.727Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:10:31.893Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:10:43.436Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:10:55.261Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:11:05.122Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:11:05.689Z] 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. [2025-10-01T23:11:05.689Z] The best model improves the baseline by 14.52%. [2025-10-01T23:11:06.229Z] Top recommended movies for user id 72: [2025-10-01T23:11:06.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:11:06.229Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:11:06.229Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:11:06.229Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:11:06.229Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:11:06.229Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (162665.232 ms) ====== [2025-10-01T23:11:06.229Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-01T23:11:06.714Z] GC before operation: completed in 468.065 ms, heap usage 576.933 MB -> 95.910 MB. [2025-10-01T23:11:30.533Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:11:48.693Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:12:11.105Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:12:29.521Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:12:38.346Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:12:48.849Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:12:59.644Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:13:09.041Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:13:11.191Z] 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. [2025-10-01T23:13:11.191Z] The best model improves the baseline by 14.52%. [2025-10-01T23:13:12.190Z] Top recommended movies for user id 72: [2025-10-01T23:13:12.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:13:12.191Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:13:12.191Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:13:12.191Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:13:12.191Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:13:12.191Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (125375.670 ms) ====== [2025-10-01T23:13:12.191Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-01T23:13:12.944Z] GC before operation: completed in 378.303 ms, heap usage 720.017 MB -> 92.337 MB. [2025-10-01T23:13:34.912Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:13:57.862Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:14:13.135Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:14:37.049Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:14:46.349Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:14:55.576Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:15:11.244Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:15:20.684Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:15:22.150Z] 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. [2025-10-01T23:15:22.150Z] The best model improves the baseline by 14.52%. [2025-10-01T23:15:22.638Z] Top recommended movies for user id 72: [2025-10-01T23:15:22.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:15:22.638Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:15:22.638Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:15:22.638Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:15:22.638Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:15:22.638Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (130186.976 ms) ====== [2025-10-01T23:15:22.638Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-01T23:15:23.153Z] GC before operation: completed in 327.754 ms, heap usage 834.616 MB -> 93.535 MB. [2025-10-01T23:15:39.980Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:15:58.364Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:16:13.855Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:16:30.033Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:16:40.597Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:16:47.924Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:17:01.322Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:17:10.137Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:17:10.137Z] 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. [2025-10-01T23:17:10.137Z] The best model improves the baseline by 14.52%. [2025-10-01T23:17:11.068Z] Top recommended movies for user id 72: [2025-10-01T23:17:11.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:17:11.068Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:17:11.068Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:17:11.068Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:17:11.068Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:17:11.068Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (108036.450 ms) ====== [2025-10-01T23:17:11.068Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-01T23:17:11.486Z] GC before operation: completed in 304.979 ms, heap usage 354.332 MB -> 89.590 MB. [2025-10-01T23:17:26.754Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:17:39.741Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:17:52.934Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:18:08.769Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:18:19.675Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:18:30.007Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:18:40.956Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:18:50.296Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:18:51.749Z] 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. [2025-10-01T23:18:52.158Z] The best model improves the baseline by 14.52%. [2025-10-01T23:18:52.604Z] Top recommended movies for user id 72: [2025-10-01T23:18:52.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:18:52.604Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:18:52.604Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:18:52.604Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:18:52.604Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:18:52.604Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (101041.255 ms) ====== [2025-10-01T23:18:52.604Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-01T23:18:52.604Z] GC before operation: completed in 332.866 ms, heap usage 219.093 MB -> 89.294 MB. [2025-10-01T23:19:13.308Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:19:25.325Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:19:44.267Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:20:04.310Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:20:16.162Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:20:29.207Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:20:37.872Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:20:47.442Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:20:49.340Z] 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. [2025-10-01T23:20:49.340Z] The best model improves the baseline by 14.52%. [2025-10-01T23:20:49.777Z] Top recommended movies for user id 72: [2025-10-01T23:20:49.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:20:49.777Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:20:49.777Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:20:49.777Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:20:49.777Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:20:49.777Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (116845.956 ms) ====== [2025-10-01T23:20:49.777Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-01T23:20:50.317Z] GC before operation: completed in 475.454 ms, heap usage 259.792 MB -> 89.842 MB. [2025-10-01T23:21:05.662Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:21:21.598Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:21:30.578Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:21:49.316Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:21:55.451Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:22:03.718Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:22:12.936Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:22:17.037Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:22:17.517Z] 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. [2025-10-01T23:22:18.046Z] The best model improves the baseline by 14.52%. [2025-10-01T23:22:18.494Z] Top recommended movies for user id 72: [2025-10-01T23:22:18.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:22:18.494Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:22:18.494Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:22:18.494Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:22:18.494Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:22:18.494Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (88230.072 ms) ====== [2025-10-01T23:22:18.494Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-01T23:22:18.909Z] GC before operation: completed in 419.359 ms, heap usage 842.941 MB -> 96.002 MB. [2025-10-01T23:22:41.037Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:22:59.685Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:23:17.163Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:23:36.360Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:23:42.713Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:23:52.112Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:24:05.317Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:24:10.601Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:24:12.103Z] 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. [2025-10-01T23:24:12.103Z] The best model improves the baseline by 14.52%. [2025-10-01T23:24:12.103Z] Top recommended movies for user id 72: [2025-10-01T23:24:12.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:24:12.103Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:24:12.103Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:24:12.103Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:24:12.103Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:24:12.700Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (113554.938 ms) ====== [2025-10-01T23:24:12.700Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-01T23:24:13.904Z] GC before operation: completed in 1334.886 ms, heap usage 651.278 MB -> 93.682 MB. [2025-10-01T23:24:31.998Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:24:48.075Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:25:01.266Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:25:17.326Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:25:30.311Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:25:38.369Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:25:46.334Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:25:59.272Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:25:59.272Z] 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. [2025-10-01T23:25:59.272Z] The best model improves the baseline by 14.52%. [2025-10-01T23:25:59.272Z] Top recommended movies for user id 72: [2025-10-01T23:25:59.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:25:59.272Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:25:59.272Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:25:59.272Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:25:59.272Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:25:59.272Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (105699.421 ms) ====== [2025-10-01T23:25:59.272Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-01T23:26:00.615Z] GC before operation: completed in 1348.304 ms, heap usage 273.695 MB -> 89.876 MB. [2025-10-01T23:26:19.704Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:26:34.972Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:26:53.630Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:27:08.937Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:27:18.090Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:27:28.793Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:27:37.249Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:27:44.634Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:27:45.153Z] 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. [2025-10-01T23:27:45.706Z] The best model improves the baseline by 14.52%. [2025-10-01T23:27:47.502Z] Top recommended movies for user id 72: [2025-10-01T23:27:47.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:27:47.502Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:27:47.502Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:27:47.502Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:27:47.502Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:27:47.502Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (106504.561 ms) ====== [2025-10-01T23:27:47.502Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-01T23:27:47.502Z] GC before operation: completed in 304.506 ms, heap usage 191.107 MB -> 91.693 MB. [2025-10-01T23:28:06.436Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:28:28.747Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:28:44.689Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:29:00.688Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:29:12.430Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:29:22.359Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:29:31.864Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:29:43.551Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:29:44.084Z] 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. [2025-10-01T23:29:44.084Z] The best model improves the baseline by 14.52%. [2025-10-01T23:29:44.084Z] Top recommended movies for user id 72: [2025-10-01T23:29:44.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:29:44.084Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:29:44.084Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:29:44.084Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:29:44.084Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:29:44.084Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (116754.210 ms) ====== [2025-10-01T23:29:44.084Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-01T23:29:44.706Z] GC before operation: completed in 415.893 ms, heap usage 349.940 MB -> 91.610 MB. [2025-10-01T23:30:04.369Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:30:20.366Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:30:42.946Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:30:58.743Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:31:07.929Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:31:16.831Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:31:24.383Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:31:32.157Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:31:33.091Z] 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. [2025-10-01T23:31:33.091Z] The best model improves the baseline by 14.52%. [2025-10-01T23:31:33.091Z] Top recommended movies for user id 72: [2025-10-01T23:31:33.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:31:33.091Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:31:33.091Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:31:33.091Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:31:33.091Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:31:33.091Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (108515.844 ms) ====== [2025-10-01T23:31:33.091Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-01T23:31:33.552Z] GC before operation: completed in 253.116 ms, heap usage 827.363 MB -> 94.398 MB. [2025-10-01T23:31:46.573Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:32:02.057Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:32:14.959Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:32:25.994Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:32:32.543Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:32:42.530Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:32:49.822Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:32:57.327Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:32:58.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-01T23:32:58.784Z] The best model improves the baseline by 14.52%. [2025-10-01T23:32:58.784Z] Top recommended movies for user id 72: [2025-10-01T23:32:58.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:32:58.784Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:32:58.784Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:32:58.784Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:32:58.784Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:32:58.784Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (85502.216 ms) ====== [2025-10-01T23:32:58.784Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-01T23:33:00.175Z] GC before operation: completed in 1002.088 ms, heap usage 698.828 MB -> 93.869 MB. [2025-10-01T23:33:23.491Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:33:45.172Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:34:00.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:34:16.636Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:34:24.803Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:34:34.084Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:34:47.708Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:34:56.849Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:34:57.891Z] 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. [2025-10-01T23:34:57.891Z] The best model improves the baseline by 14.52%. [2025-10-01T23:34:58.330Z] Top recommended movies for user id 72: [2025-10-01T23:34:58.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:34:58.330Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:34:58.330Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:34:58.330Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:34:58.330Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:34:58.330Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (118256.458 ms) ====== [2025-10-01T23:34:58.330Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-01T23:34:58.330Z] GC before operation: completed in 259.960 ms, heap usage 449.926 MB -> 92.050 MB. [2025-10-01T23:35:17.386Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:35:34.306Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:35:53.643Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:36:06.850Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:36:15.145Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:36:24.910Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:36:31.336Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:36:38.816Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:36:39.902Z] 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. [2025-10-01T23:36:39.902Z] The best model improves the baseline by 14.52%. [2025-10-01T23:36:40.478Z] Top recommended movies for user id 72: [2025-10-01T23:36:40.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:36:40.478Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:36:40.479Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:36:40.479Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:36:40.479Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:36:40.479Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (101978.137 ms) ====== [2025-10-01T23:36:40.479Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-01T23:36:41.455Z] GC before operation: completed in 425.755 ms, heap usage 365.683 MB -> 94.280 MB. [2025-10-01T23:37:00.025Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:37:18.539Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:37:37.717Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:37:56.929Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:38:04.523Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:38:14.313Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:38:29.921Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:38:41.213Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:38:41.737Z] 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. [2025-10-01T23:38:41.737Z] The best model improves the baseline by 14.52%. [2025-10-01T23:38:42.197Z] Top recommended movies for user id 72: [2025-10-01T23:38:42.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:38:42.197Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:38:42.197Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:38:42.197Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:38:42.197Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:38:42.197Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (121181.437 ms) ====== [2025-10-01T23:38:42.197Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-01T23:38:42.645Z] GC before operation: completed in 419.576 ms, heap usage 539.531 MB -> 95.785 MB. [2025-10-01T23:38:59.359Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:39:18.229Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:39:34.386Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:39:49.430Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:40:03.154Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:40:09.999Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:40:23.932Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:40:33.008Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:40:33.594Z] 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. [2025-10-01T23:40:34.127Z] The best model improves the baseline by 14.52%. [2025-10-01T23:40:34.584Z] Top recommended movies for user id 72: [2025-10-01T23:40:34.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:40:34.584Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:40:34.584Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:40:34.584Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:40:34.584Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:40:34.584Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (111955.432 ms) ====== [2025-10-01T23:40:34.584Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-01T23:40:35.151Z] GC before operation: completed in 399.334 ms, heap usage 184.660 MB -> 92.988 MB. [2025-10-01T23:40:58.133Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:41:09.515Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:41:28.088Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:41:36.823Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:41:44.034Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:41:50.100Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:41:57.767Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:42:03.801Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:42:04.275Z] 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. [2025-10-01T23:42:04.870Z] The best model improves the baseline by 14.52%. [2025-10-01T23:42:05.413Z] Top recommended movies for user id 72: [2025-10-01T23:42:05.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:42:05.413Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:42:05.413Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:42:05.413Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:42:05.413Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:42:05.413Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (90708.874 ms) ====== [2025-10-01T23:42:05.413Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-01T23:42:05.874Z] GC before operation: completed in 255.759 ms, heap usage 445.378 MB -> 90.205 MB. [2025-10-01T23:42:20.965Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:42:29.616Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:42:39.927Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:42:56.396Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:43:03.787Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:43:15.324Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:43:24.212Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:43:31.877Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:43:32.797Z] 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. [2025-10-01T23:43:33.231Z] The best model improves the baseline by 14.52%. [2025-10-01T23:43:33.231Z] Top recommended movies for user id 72: [2025-10-01T23:43:33.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:43:33.231Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:43:33.231Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:43:33.231Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:43:33.231Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:43:33.231Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (87612.498 ms) ====== [2025-10-01T23:43:33.231Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-01T23:43:33.682Z] GC before operation: completed in 347.989 ms, heap usage 343.885 MB -> 90.177 MB. [2025-10-01T23:43:49.214Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T23:44:07.809Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T23:44:19.359Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T23:44:35.494Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T23:44:41.551Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T23:44:48.912Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T23:44:59.409Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T23:45:09.496Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T23:45:09.995Z] 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. [2025-10-01T23:45:09.995Z] The best model improves the baseline by 14.52%. [2025-10-01T23:45:10.889Z] Top recommended movies for user id 72: [2025-10-01T23:45:10.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-01T23:45:10.889Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-01T23:45:10.889Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-01T23:45:10.889Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-01T23:45:10.889Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-01T23:45:10.889Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (96888.292 ms) ====== [2025-10-01T23:45:14.597Z] ----------------------------------- [2025-10-01T23:45:14.597Z] renaissance-movie-lens_0_PASSED [2025-10-01T23:45:14.597Z] ----------------------------------- [2025-10-01T23:45:14.597Z] [2025-10-01T23:45:14.597Z] TEST TEARDOWN: [2025-10-01T23:45:14.597Z] Nothing to be done for teardown. [2025-10-01T23:45:14.597Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 16:45:13 2025 Epoch Time (ms): 1759362313728