[2025-08-30T00:07:08.531Z] Running test renaissance-movie-lens_0 ... [2025-08-30T00:07:08.531Z] =============================================== [2025-08-30T00:07:08.531Z] renaissance-movie-lens_0 Start Time: Fri Aug 29 20:07:08 2025 Epoch Time (ms): 1756512428105 [2025-08-30T00:07:08.531Z] variation: NoOptions [2025-08-30T00:07:08.531Z] JVM_OPTIONS: [2025-08-30T00:07:08.531Z] { \ [2025-08-30T00:07:08.531Z] echo ""; echo "TEST SETUP:"; \ [2025-08-30T00:07:08.531Z] echo "Nothing to be done for setup."; \ [2025-08-30T00:07:08.531Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17565117812806/renaissance-movie-lens_0"; \ [2025-08-30T00:07:08.531Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17565117812806/renaissance-movie-lens_0"; \ [2025-08-30T00:07:08.531Z] echo ""; echo "TESTING:"; \ [2025-08-30T00:07:08.531Z] "/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_17565117812806/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-30T00:07:08.531Z] 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_17565117812806/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-30T00:07:08.531Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-30T00:07:08.531Z] echo "Nothing to be done for teardown."; \ [2025-08-30T00:07:08.531Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17565117812806/TestTargetResult"; [2025-08-30T00:07:08.531Z] [2025-08-30T00:07:08.531Z] TEST SETUP: [2025-08-30T00:07:08.531Z] Nothing to be done for setup. [2025-08-30T00:07:08.531Z] [2025-08-30T00:07:08.531Z] TESTING: [2025-08-30T00:07:10.901Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-30T00:07:13.346Z] 20:07:12.951 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. [2025-08-30T00:07:14.182Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-30T00:07:14.182Z] Training: 60056, validation: 20285, test: 19854 [2025-08-30T00:07:14.182Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-30T00:07:14.182Z] GC before operation: completed in 61.265 ms, heap usage 459.216 MB -> 76.085 MB. [2025-08-30T00:07:16.582Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:07:18.377Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:07:20.135Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:07:21.908Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:07:22.673Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:07:23.939Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:07:25.193Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:07:26.033Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:07:26.033Z] 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. [2025-08-30T00:07:26.033Z] The best model improves the baseline by 14.52%. [2025-08-30T00:07:26.405Z] Top recommended movies for user id 72: [2025-08-30T00:07:26.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:07:26.405Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:07:26.405Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:07:26.405Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:07:26.405Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:07:26.405Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11916.927 ms) ====== [2025-08-30T00:07:26.405Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-30T00:07:26.405Z] GC before operation: completed in 59.124 ms, heap usage 211.600 MB -> 89.457 MB. [2025-08-30T00:07:28.227Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:07:29.512Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:07:31.364Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:07:32.616Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:07:33.412Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:07:34.209Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:07:34.963Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:07:35.717Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:07:35.717Z] 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. [2025-08-30T00:07:35.717Z] The best model improves the baseline by 14.52%. [2025-08-30T00:07:35.717Z] Top recommended movies for user id 72: [2025-08-30T00:07:35.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:07:35.717Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:07:35.717Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:07:35.717Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:07:35.717Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:07:35.717Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9535.203 ms) ====== [2025-08-30T00:07:35.717Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-30T00:07:36.070Z] GC before operation: completed in 73.909 ms, heap usage 622.511 MB -> 93.462 MB. [2025-08-30T00:07:37.329Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:07:38.554Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:07:39.835Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:07:41.603Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:07:42.353Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:07:43.117Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:07:43.905Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:07:45.138Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:07:45.138Z] 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. [2025-08-30T00:07:45.138Z] The best model improves the baseline by 14.52%. [2025-08-30T00:07:45.138Z] Top recommended movies for user id 72: [2025-08-30T00:07:45.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:07:45.138Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:07:45.138Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:07:45.138Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:07:45.138Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:07:45.138Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9317.904 ms) ====== [2025-08-30T00:07:45.138Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-30T00:07:45.138Z] GC before operation: completed in 85.615 ms, heap usage 210.845 MB -> 89.110 MB. [2025-08-30T00:07:46.917Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:07:48.216Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:07:50.022Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:07:51.267Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:07:52.595Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:07:53.366Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:07:54.179Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:07:55.404Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:07:55.404Z] 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. [2025-08-30T00:07:55.404Z] The best model improves the baseline by 14.52%. [2025-08-30T00:07:55.404Z] Top recommended movies for user id 72: [2025-08-30T00:07:55.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:07:55.404Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:07:55.404Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:07:55.404Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:07:55.404Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:07:55.404Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10161.796 ms) ====== [2025-08-30T00:07:55.404Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-30T00:07:55.404Z] GC before operation: completed in 82.138 ms, heap usage 432.879 MB -> 89.880 MB. [2025-08-30T00:07:57.176Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:07:58.416Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:00.201Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:01.484Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:02.264Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:03.050Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:04.311Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:05.110Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:05.110Z] 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. [2025-08-30T00:08:05.110Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:05.110Z] Top recommended movies for user id 72: [2025-08-30T00:08:05.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:05.110Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:05.110Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:05.110Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:05.110Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:05.110Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9639.768 ms) ====== [2025-08-30T00:08:05.110Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-30T00:08:05.110Z] GC before operation: completed in 86.401 ms, heap usage 177.320 MB -> 89.372 MB. [2025-08-30T00:08:06.877Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:08.113Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:09.872Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:11.105Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:12.339Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:13.145Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:13.912Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:14.662Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:14.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-30T00:08:14.662Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:15.015Z] Top recommended movies for user id 72: [2025-08-30T00:08:15.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:15.015Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:15.015Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:15.015Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:15.015Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:15.015Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9637.653 ms) ====== [2025-08-30T00:08:15.015Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-30T00:08:15.015Z] GC before operation: completed in 63.538 ms, heap usage 552.426 MB -> 93.538 MB. [2025-08-30T00:08:16.779Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:18.012Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:19.794Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:21.014Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:21.799Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:23.081Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:23.901Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:24.664Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:24.664Z] 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. [2025-08-30T00:08:24.664Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:24.664Z] Top recommended movies for user id 72: [2025-08-30T00:08:24.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:24.664Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:24.664Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:24.664Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:24.664Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:24.664Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9844.803 ms) ====== [2025-08-30T00:08:24.664Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-30T00:08:25.017Z] GC before operation: completed in 64.421 ms, heap usage 235.156 MB -> 89.763 MB. [2025-08-30T00:08:26.803Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:28.038Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:29.294Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:31.113Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:31.902Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:32.666Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:33.417Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:34.642Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:34.642Z] 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. [2025-08-30T00:08:34.642Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:34.642Z] Top recommended movies for user id 72: [2025-08-30T00:08:34.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:34.642Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:34.642Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:34.642Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:34.642Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:34.642Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9813.573 ms) ====== [2025-08-30T00:08:34.642Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-30T00:08:34.642Z] GC before operation: completed in 70.541 ms, heap usage 182.226 MB -> 89.988 MB. [2025-08-30T00:08:36.408Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:37.649Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:39.412Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:40.635Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:41.392Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:42.194Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:43.462Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:44.240Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:44.240Z] 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. [2025-08-30T00:08:44.240Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:44.240Z] Top recommended movies for user id 72: [2025-08-30T00:08:44.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:44.240Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:44.240Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:44.240Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:44.240Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:44.240Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9566.656 ms) ====== [2025-08-30T00:08:44.240Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-30T00:08:44.590Z] GC before operation: completed in 78.436 ms, heap usage 245.482 MB -> 89.914 MB. [2025-08-30T00:08:45.842Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:47.092Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:48.868Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:50.124Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:08:51.352Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:08:52.105Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:08:53.325Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:08:54.083Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:08:54.083Z] 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. [2025-08-30T00:08:54.083Z] The best model improves the baseline by 14.52%. [2025-08-30T00:08:54.435Z] Top recommended movies for user id 72: [2025-08-30T00:08:54.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:08:54.435Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:08:54.435Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:08:54.435Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:08:54.435Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:08:54.435Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9843.034 ms) ====== [2025-08-30T00:08:54.435Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-30T00:08:54.435Z] GC before operation: completed in 66.480 ms, heap usage 396.975 MB -> 90.332 MB. [2025-08-30T00:08:55.683Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:08:57.446Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:08:58.723Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:08:59.504Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:00.285Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:01.063Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:02.324Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:03.107Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:03.107Z] 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. [2025-08-30T00:09:03.107Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:03.107Z] Top recommended movies for user id 72: [2025-08-30T00:09:03.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:03.107Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:03.107Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:03.107Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:03.107Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:03.107Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8911.602 ms) ====== [2025-08-30T00:09:03.107Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-30T00:09:03.465Z] GC before operation: completed in 78.530 ms, heap usage 332.574 MB -> 89.933 MB. [2025-08-30T00:09:04.731Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:06.519Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:07.812Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:09.637Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:10.395Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:11.152Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:12.401Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:13.162Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:13.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-30T00:09:13.162Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:13.524Z] Top recommended movies for user id 72: [2025-08-30T00:09:13.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:13.524Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:13.524Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:13.524Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:13.524Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:13.524Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10042.579 ms) ====== [2025-08-30T00:09:13.524Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-30T00:09:13.524Z] GC before operation: completed in 68.449 ms, heap usage 194.995 MB -> 89.901 MB. [2025-08-30T00:09:14.755Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:16.517Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:17.775Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:19.540Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:20.313Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:21.087Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:22.327Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:23.088Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:23.088Z] 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. [2025-08-30T00:09:23.088Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:23.450Z] Top recommended movies for user id 72: [2025-08-30T00:09:23.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:23.450Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:23.450Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:23.450Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:23.450Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:23.450Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9857.286 ms) ====== [2025-08-30T00:09:23.450Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-30T00:09:23.450Z] GC before operation: completed in 70.055 ms, heap usage 399.590 MB -> 90.360 MB. [2025-08-30T00:09:25.235Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:26.469Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:28.238Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:29.474Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:30.239Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:31.518Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:32.282Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:33.064Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:33.426Z] 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. [2025-08-30T00:09:33.426Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:33.426Z] Top recommended movies for user id 72: [2025-08-30T00:09:33.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:33.426Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:33.426Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:33.426Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:33.426Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:33.426Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10103.657 ms) ====== [2025-08-30T00:09:33.426Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-30T00:09:33.426Z] GC before operation: completed in 68.869 ms, heap usage 180.282 MB -> 89.842 MB. [2025-08-30T00:09:35.183Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:36.431Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:38.185Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:39.417Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:40.183Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:40.944Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:42.188Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:42.940Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:42.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-30T00:09:42.940Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:42.940Z] Top recommended movies for user id 72: [2025-08-30T00:09:42.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:42.940Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:42.940Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:42.940Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:42.940Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:42.940Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9384.198 ms) ====== [2025-08-30T00:09:42.940Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-30T00:09:42.940Z] GC before operation: completed in 52.011 ms, heap usage 400.259 MB -> 90.437 MB. [2025-08-30T00:09:44.165Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:45.949Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:47.177Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:48.399Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:49.167Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:50.401Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:51.164Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:09:51.930Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:09:51.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-30T00:09:51.930Z] The best model improves the baseline by 14.52%. [2025-08-30T00:09:51.930Z] Top recommended movies for user id 72: [2025-08-30T00:09:51.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:09:51.930Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:09:51.930Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:09:51.930Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:09:51.930Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:09:51.930Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8990.437 ms) ====== [2025-08-30T00:09:51.930Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-30T00:09:51.930Z] GC before operation: completed in 72.902 ms, heap usage 180.338 MB -> 89.953 MB. [2025-08-30T00:09:53.198Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:09:54.432Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:09:55.681Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:09:57.429Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:09:58.188Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:09:58.960Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:09:59.728Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:10:00.514Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:10:00.895Z] 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. [2025-08-30T00:10:00.895Z] The best model improves the baseline by 14.52%. [2025-08-30T00:10:00.895Z] Top recommended movies for user id 72: [2025-08-30T00:10:00.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:10:00.895Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:10:00.895Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:10:00.895Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:10:00.895Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:10:00.895Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8843.868 ms) ====== [2025-08-30T00:10:00.895Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-30T00:10:00.896Z] GC before operation: completed in 65.535 ms, heap usage 259.966 MB -> 90.178 MB. [2025-08-30T00:10:02.162Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:10:04.045Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:10:05.286Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:10:07.046Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:10:07.400Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:10:08.634Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:10:09.445Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:10:10.260Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:10:10.260Z] 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. [2025-08-30T00:10:10.260Z] The best model improves the baseline by 14.52%. [2025-08-30T00:10:10.260Z] Top recommended movies for user id 72: [2025-08-30T00:10:10.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:10:10.260Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:10:10.260Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:10:10.260Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:10:10.260Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:10:10.260Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9381.261 ms) ====== [2025-08-30T00:10:10.260Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-30T00:10:10.260Z] GC before operation: completed in 69.623 ms, heap usage 253.405 MB -> 90.061 MB. [2025-08-30T00:10:12.034Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:10:13.258Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:10:14.499Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:10:15.767Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:10:17.036Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:10:17.817Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:10:18.586Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:10:19.375Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:10:19.734Z] 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. [2025-08-30T00:10:19.734Z] The best model improves the baseline by 14.52%. [2025-08-30T00:10:19.734Z] Top recommended movies for user id 72: [2025-08-30T00:10:19.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:10:19.734Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:10:19.734Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:10:19.734Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:10:19.734Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:10:19.734Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9288.944 ms) ====== [2025-08-30T00:10:19.734Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-30T00:10:19.734Z] GC before operation: completed in 55.524 ms, heap usage 184.241 MB -> 91.095 MB. [2025-08-30T00:10:20.975Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T00:10:22.740Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T00:10:23.970Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T00:10:25.791Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T00:10:26.161Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T00:10:27.388Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T00:10:28.154Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T00:10:28.923Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T00:10:29.299Z] 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. [2025-08-30T00:10:29.299Z] The best model improves the baseline by 14.52%. [2025-08-30T00:10:29.299Z] Top recommended movies for user id 72: [2025-08-30T00:10:29.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-30T00:10:29.299Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-30T00:10:29.299Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-30T00:10:29.299Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-30T00:10:29.299Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-30T00:10:29.299Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9522.167 ms) ====== [2025-08-30T00:10:29.671Z] ----------------------------------- [2025-08-30T00:10:29.671Z] renaissance-movie-lens_0_PASSED [2025-08-30T00:10:29.671Z] ----------------------------------- [2025-08-30T00:10:29.671Z] [2025-08-30T00:10:29.671Z] TEST TEARDOWN: [2025-08-30T00:10:29.671Z] Nothing to be done for teardown. [2025-08-30T00:10:29.671Z] renaissance-movie-lens_0 Finish Time: Fri Aug 29 20:10:29 2025 Epoch Time (ms): 1756512629437