[2025-06-18T22:55:23.486Z] Running test renaissance-movie-lens_0 ... [2025-06-18T22:55:23.486Z] =============================================== [2025-06-18T22:55:23.486Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 18:55:23 2025 Epoch Time (ms): 1750287323399 [2025-06-18T22:55:23.486Z] variation: NoOptions [2025-06-18T22:55:23.486Z] JVM_OPTIONS: [2025-06-18T22:55:23.486Z] { \ [2025-06-18T22:55:23.486Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T22:55:23.486Z] echo "Nothing to be done for setup."; \ [2025-06-18T22:55:23.486Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502864011331/renaissance-movie-lens_0"; \ [2025-06-18T22:55:23.486Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502864011331/renaissance-movie-lens_0"; \ [2025-06-18T22:55:23.486Z] echo ""; echo "TESTING:"; \ [2025-06-18T22:55:23.487Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502864011331/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T22:55:23.487Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502864011331/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T22:55:23.487Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T22:55:23.487Z] echo "Nothing to be done for teardown."; \ [2025-06-18T22:55:23.487Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502864011331/TestTargetResult"; [2025-06-18T22:55:23.842Z] [2025-06-18T22:55:23.842Z] TEST SETUP: [2025-06-18T22:55:23.842Z] Nothing to be done for setup. [2025-06-18T22:55:23.842Z] [2025-06-18T22:55:23.842Z] TESTING: [2025-06-18T22:55:27.868Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-18T22:55:31.866Z] 18:55:31.355 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T22:55:33.132Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T22:55:33.132Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T22:55:33.132Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T22:55:33.132Z] GC before operation: completed in 91.464 ms, heap usage 401.997 MB -> 74.558 MB. [2025-06-18T22:55:37.121Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:55:40.233Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:55:42.012Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:55:44.399Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:55:45.651Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:55:46.895Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:55:48.129Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:55:49.380Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:55:49.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:55:49.380Z] The best model improves the baseline by 14.52%. [2025-06-18T22:55:49.731Z] Top recommended movies for user id 72: [2025-06-18T22:55:49.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:55:49.731Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:55:49.731Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:55:49.731Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:55:49.731Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:55:49.731Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16275.682 ms) ====== [2025-06-18T22:55:49.731Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T22:55:49.731Z] GC before operation: completed in 98.882 ms, heap usage 348.796 MB -> 85.361 MB. [2025-06-18T22:55:51.512Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:55:53.287Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:55:55.070Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:55:56.855Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:55:58.128Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:55:58.991Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:00.235Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:01.566Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:01.958Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:56:01.958Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:01.958Z] Top recommended movies for user id 72: [2025-06-18T22:56:01.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:56:01.958Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:56:01.958Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:56:01.958Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:56:01.958Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:56:01.958Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12189.195 ms) ====== [2025-06-18T22:56:01.958Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T22:56:01.958Z] GC before operation: completed in 88.678 ms, heap usage 209.194 MB -> 87.098 MB. [2025-06-18T22:56:03.786Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:56:05.698Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:07.481Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:09.242Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:56:10.486Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:56:11.350Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:12.587Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:13.884Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:13.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:56:13.884Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:13.884Z] Top recommended movies for user id 72: [2025-06-18T22:56:13.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:56:13.884Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:56:13.884Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:56:13.884Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:56:13.884Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:56:13.884Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11967.820 ms) ====== [2025-06-18T22:56:13.884Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T22:56:13.884Z] GC before operation: completed in 91.584 ms, heap usage 264.831 MB -> 87.842 MB. [2025-06-18T22:56:16.313Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:56:17.677Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:20.054Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:21.881Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:56:22.655Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:56:23.906Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:25.202Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:25.976Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:26.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:56:26.329Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:26.329Z] Top recommended movies for user id 72: [2025-06-18T22:56:26.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:56:26.329Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:56:26.329Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:56:26.329Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:56:26.329Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:56:26.329Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12362.903 ms) ====== [2025-06-18T22:56:26.329Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T22:56:26.329Z] GC before operation: completed in 87.843 ms, heap usage 186.269 MB -> 88.045 MB. [2025-06-18T22:56:28.740Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:56:30.581Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:32.391Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:34.203Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:56:34.961Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:56:36.192Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:37.451Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:38.668Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:38.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:56:39.036Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:39.036Z] Top recommended movies for user id 72: [2025-06-18T22:56:39.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:56:39.036Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:56:39.036Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:56:39.036Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:56:39.036Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:56:39.036Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12500.496 ms) ====== [2025-06-18T22:56:39.036Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T22:56:39.036Z] GC before operation: completed in 96.539 ms, heap usage 185.853 MB -> 88.006 MB. [2025-06-18T22:56:41.481Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:56:43.246Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:45.023Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:46.845Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:56:47.629Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:56:49.449Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:50.215Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:51.451Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:51.808Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:56:51.809Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:51.809Z] Top recommended movies for user id 72: [2025-06-18T22:56:51.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:56:51.809Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:56:51.809Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:56:51.809Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:56:51.809Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:56:51.809Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12709.374 ms) ====== [2025-06-18T22:56:51.809Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T22:56:51.809Z] GC before operation: completed in 80.977 ms, heap usage 191.386 MB -> 88.265 MB. [2025-06-18T22:56:53.591Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:56:56.002Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:57.237Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:59.101Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:00.337Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:01.633Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:02.403Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:03.707Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:03.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:03.707Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:03.707Z] Top recommended movies for user id 72: [2025-06-18T22:57:03.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:03.707Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:03.707Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:03.707Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:03.707Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:03.707Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11849.968 ms) ====== [2025-06-18T22:57:03.707Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T22:57:03.707Z] GC before operation: completed in 79.654 ms, heap usage 428.647 MB -> 88.581 MB. [2025-06-18T22:57:05.522Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:07.365Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:09.749Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:57:11.581Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:12.342Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:13.565Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:14.829Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:15.613Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:15.999Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:15.999Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:15.999Z] Top recommended movies for user id 72: [2025-06-18T22:57:15.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:15.999Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:15.999Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:15.999Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:15.999Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:15.999Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12270.264 ms) ====== [2025-06-18T22:57:15.999Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T22:57:15.999Z] GC before operation: completed in 111.906 ms, heap usage 108.693 MB -> 88.384 MB. [2025-06-18T22:57:18.409Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:20.227Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:22.063Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:57:23.837Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:24.600Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:25.861Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:27.120Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:27.882Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:28.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:28.241Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:28.241Z] Top recommended movies for user id 72: [2025-06-18T22:57:28.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:28.241Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:28.241Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:28.241Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:28.241Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:28.241Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12184.730 ms) ====== [2025-06-18T22:57:28.241Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T22:57:28.595Z] GC before operation: completed in 87.221 ms, heap usage 160.653 MB -> 88.363 MB. [2025-06-18T22:57:29.871Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:31.642Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:33.413Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:57:35.170Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:35.923Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:36.681Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:37.904Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:38.650Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:38.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:38.650Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:38.650Z] Top recommended movies for user id 72: [2025-06-18T22:57:38.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:38.650Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:38.650Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:38.650Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:38.650Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:38.650Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10371.770 ms) ====== [2025-06-18T22:57:38.650Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T22:57:39.000Z] GC before operation: completed in 66.308 ms, heap usage 168.924 MB -> 88.581 MB. [2025-06-18T22:57:40.253Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:41.493Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:43.281Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:57:44.519Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:45.756Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:46.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:47.759Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:48.528Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:48.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:48.889Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:48.889Z] Top recommended movies for user id 72: [2025-06-18T22:57:48.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:48.889Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:48.889Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:48.889Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:48.889Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:48.889Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10004.635 ms) ====== [2025-06-18T22:57:48.889Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T22:57:48.889Z] GC before operation: completed in 71.883 ms, heap usage 380.014 MB -> 88.556 MB. [2025-06-18T22:57:50.148Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:51.925Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:53.135Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:57:54.372Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:57:55.135Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:57:55.899Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:57:57.115Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:57:57.884Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:57:57.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:57:57.884Z] The best model improves the baseline by 14.52%. [2025-06-18T22:57:57.884Z] Top recommended movies for user id 72: [2025-06-18T22:57:57.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:57:57.884Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:57:57.884Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:57:57.884Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:57:57.884Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:57:57.884Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9017.844 ms) ====== [2025-06-18T22:57:57.884Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T22:57:57.884Z] GC before operation: completed in 64.383 ms, heap usage 202.900 MB -> 88.520 MB. [2025-06-18T22:57:59.627Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:00.868Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:02.677Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:04.549Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:05.822Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:07.035Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:08.298Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:09.525Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:58:09.525Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:58:09.525Z] The best model improves the baseline by 14.52%. [2025-06-18T22:58:09.525Z] Top recommended movies for user id 72: [2025-06-18T22:58:09.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:58:09.525Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:58:09.525Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:58:09.525Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:58:09.525Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:58:09.525Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11614.394 ms) ====== [2025-06-18T22:58:09.525Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T22:58:09.877Z] GC before operation: completed in 102.143 ms, heap usage 158.872 MB -> 88.517 MB. [2025-06-18T22:58:11.697Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:13.455Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:15.218Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:16.462Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:17.220Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:17.973Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:18.741Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:19.495Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:58:19.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:58:19.495Z] The best model improves the baseline by 14.52%. [2025-06-18T22:58:19.850Z] Top recommended movies for user id 72: [2025-06-18T22:58:19.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:58:19.850Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:58:19.850Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:58:19.850Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:58:19.850Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:58:19.850Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9923.126 ms) ====== [2025-06-18T22:58:19.850Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T22:58:19.850Z] GC before operation: completed in 63.144 ms, heap usage 315.871 MB -> 88.502 MB. [2025-06-18T22:58:21.095Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:22.346Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:24.138Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:25.918Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:26.707Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:27.963Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:28.712Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:29.509Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:58:29.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:58:29.509Z] The best model improves the baseline by 14.52%. [2025-06-18T22:58:29.858Z] Top recommended movies for user id 72: [2025-06-18T22:58:29.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:58:29.858Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:58:29.858Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:58:29.858Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:58:29.858Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:58:29.858Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10003.092 ms) ====== [2025-06-18T22:58:29.858Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T22:58:29.858Z] GC before operation: completed in 71.883 ms, heap usage 323.587 MB -> 88.723 MB. [2025-06-18T22:58:31.081Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:32.840Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:34.635Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:35.877Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:37.124Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:38.349Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:39.574Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:40.333Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:58:40.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:58:40.694Z] The best model improves the baseline by 14.52%. [2025-06-18T22:58:40.694Z] Top recommended movies for user id 72: [2025-06-18T22:58:40.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:58:40.694Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:58:40.694Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:58:40.694Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:58:40.694Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:58:40.694Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10930.467 ms) ====== [2025-06-18T22:58:40.694Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T22:58:40.694Z] GC before operation: completed in 75.850 ms, heap usage 158.396 MB -> 88.420 MB. [2025-06-18T22:58:43.093Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:44.870Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:46.666Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:47.907Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:49.155Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:49.934Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:50.754Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:51.977Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:58:51.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:58:51.977Z] The best model improves the baseline by 14.52%. [2025-06-18T22:58:51.977Z] Top recommended movies for user id 72: [2025-06-18T22:58:51.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:58:51.977Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:58:51.977Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:58:51.977Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:58:51.977Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:58:51.977Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11308.884 ms) ====== [2025-06-18T22:58:51.977Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T22:58:52.343Z] GC before operation: completed in 92.780 ms, heap usage 158.314 MB -> 88.528 MB. [2025-06-18T22:58:54.150Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:58:55.933Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:58:57.184Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:58.954Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:59.721Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:59:00.504Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:59:01.861Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:59:02.661Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:59:02.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:59:02.661Z] The best model improves the baseline by 14.52%. [2025-06-18T22:59:02.661Z] Top recommended movies for user id 72: [2025-06-18T22:59:02.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:59:02.661Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:59:02.661Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:59:02.661Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:59:02.661Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:59:02.661Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10515.142 ms) ====== [2025-06-18T22:59:02.661Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T22:59:02.661Z] GC before operation: completed in 78.037 ms, heap usage 128.882 MB -> 88.278 MB. [2025-06-18T22:59:04.492Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:59:06.286Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:59:08.068Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:59:09.291Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:59:10.055Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:59:11.276Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:59:12.525Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:59:13.300Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:59:13.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:59:13.300Z] The best model improves the baseline by 14.52%. [2025-06-18T22:59:13.660Z] Top recommended movies for user id 72: [2025-06-18T22:59:13.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:59:13.660Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:59:13.660Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:59:13.660Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:59:13.660Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:59:13.660Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10727.078 ms) ====== [2025-06-18T22:59:13.660Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T22:59:13.660Z] GC before operation: completed in 84.516 ms, heap usage 107.803 MB -> 88.388 MB. [2025-06-18T22:59:15.441Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:59:17.228Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:59:19.001Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:59:20.780Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:59:21.550Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:59:22.845Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:59:23.618Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:59:24.862Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:59:24.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T22:59:24.862Z] The best model improves the baseline by 14.52%. [2025-06-18T22:59:24.862Z] Top recommended movies for user id 72: [2025-06-18T22:59:24.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T22:59:24.862Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T22:59:24.862Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T22:59:24.862Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T22:59:24.862Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T22:59:24.862Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11306.471 ms) ====== [2025-06-18T22:59:25.613Z] ----------------------------------- [2025-06-18T22:59:25.613Z] renaissance-movie-lens_0_PASSED [2025-06-18T22:59:25.613Z] ----------------------------------- [2025-06-18T22:59:25.613Z] [2025-06-18T22:59:25.613Z] TEST TEARDOWN: [2025-06-18T22:59:25.613Z] Nothing to be done for teardown. [2025-06-18T22:59:25.613Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 18:59:25 2025 Epoch Time (ms): 1750287565268