[2025-06-18T21:13:45.581Z] Running test renaissance-movie-lens_0 ... [2025-06-18T21:13:45.581Z] =============================================== [2025-06-18T21:13:45.581Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 17:13:45 2025 Epoch Time (ms): 1750281225186 [2025-06-18T21:13:45.581Z] variation: NoOptions [2025-06-18T21:13:45.581Z] JVM_OPTIONS: [2025-06-18T21:13:45.581Z] { \ [2025-06-18T21:13:45.581Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T21:13:45.581Z] echo "Nothing to be done for setup."; \ [2025-06-18T21:13:45.581Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502807414861/renaissance-movie-lens_0"; \ [2025-06-18T21:13:45.581Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502807414861/renaissance-movie-lens_0"; \ [2025-06-18T21:13:45.581Z] echo ""; echo "TESTING:"; \ [2025-06-18T21:13:45.581Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502807414861/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T21:13:45.581Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502807414861/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T21:13:45.581Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T21:13:45.581Z] echo "Nothing to be done for teardown."; \ [2025-06-18T21:13:45.581Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502807414861/TestTargetResult"; [2025-06-18T21:13:45.581Z] [2025-06-18T21:13:45.581Z] TEST SETUP: [2025-06-18T21:13:45.581Z] Nothing to be done for setup. [2025-06-18T21:13:45.581Z] [2025-06-18T21:13:45.581Z] TESTING: [2025-06-18T21:13:48.685Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-18T21:13:52.799Z] 17:13:51.879 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T21:13:53.630Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T21:13:53.630Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T21:13:53.630Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T21:13:54.000Z] GC before operation: completed in 71.254 ms, heap usage 429.118 MB -> 75.992 MB. [2025-06-18T21:13:57.222Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:13:59.676Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:01.494Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:03.291Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:04.075Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:05.323Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:06.083Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:07.328Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:07.328Z] 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. [2025-06-18T21:14:07.328Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:07.328Z] Top recommended movies for user id 72: [2025-06-18T21:14:07.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:07.328Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:07.328Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:07.328Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:07.328Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:07.328Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13530.308 ms) ====== [2025-06-18T21:14:07.328Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T21:14:07.328Z] GC before operation: completed in 64.923 ms, heap usage 485.168 MB -> 90.475 MB. [2025-06-18T21:14:09.101Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:10.367Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:12.162Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:13.398Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:14.171Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:14.930Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:16.203Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:16.972Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:16.972Z] 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. [2025-06-18T21:14:16.972Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:16.972Z] Top recommended movies for user id 72: [2025-06-18T21:14:16.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:16.972Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:16.972Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:16.972Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:16.972Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:16.972Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9632.718 ms) ====== [2025-06-18T21:14:16.972Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T21:14:17.327Z] GC before operation: completed in 66.702 ms, heap usage 422.032 MB -> 90.948 MB. [2025-06-18T21:14:18.568Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:20.357Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:21.606Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:22.833Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:23.593Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:24.354Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:25.605Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:26.368Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:26.368Z] 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. [2025-06-18T21:14:26.368Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:26.368Z] Top recommended movies for user id 72: [2025-06-18T21:14:26.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:26.368Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:26.368Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:26.368Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:26.368Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:26.368Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9372.543 ms) ====== [2025-06-18T21:14:26.368Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T21:14:26.723Z] GC before operation: completed in 80.975 ms, heap usage 236.001 MB -> 89.100 MB. [2025-06-18T21:14:27.968Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:29.752Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:31.006Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:32.320Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:33.104Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:33.880Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:35.110Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:35.881Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:35.881Z] 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. [2025-06-18T21:14:35.881Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:36.238Z] Top recommended movies for user id 72: [2025-06-18T21:14:36.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:36.238Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:36.238Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:36.238Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:36.238Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:36.238Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9571.735 ms) ====== [2025-06-18T21:14:36.238Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T21:14:36.238Z] GC before operation: completed in 66.969 ms, heap usage 199.365 MB -> 89.357 MB. [2025-06-18T21:14:37.492Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:38.757Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:39.985Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:41.780Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:42.133Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:43.380Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:44.132Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:44.904Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:44.904Z] 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. [2025-06-18T21:14:44.904Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:45.267Z] Top recommended movies for user id 72: [2025-06-18T21:14:45.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:45.267Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:45.267Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:45.267Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:45.267Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:45.267Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8840.146 ms) ====== [2025-06-18T21:14:45.267Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T21:14:45.267Z] GC before operation: completed in 53.373 ms, heap usage 109.143 MB -> 89.249 MB. [2025-06-18T21:14:46.503Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:47.727Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:49.502Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:50.725Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:14:51.491Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:14:52.247Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:14:53.015Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:14:53.787Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:14:53.787Z] 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. [2025-06-18T21:14:53.787Z] The best model improves the baseline by 14.52%. [2025-06-18T21:14:53.787Z] Top recommended movies for user id 72: [2025-06-18T21:14:53.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:14:53.787Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:14:53.787Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:14:53.787Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:14:53.787Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:14:53.787Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8741.950 ms) ====== [2025-06-18T21:14:53.787Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T21:14:53.787Z] GC before operation: completed in 57.020 ms, heap usage 242.139 MB -> 89.832 MB. [2025-06-18T21:14:55.020Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:14:56.800Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:14:58.015Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:14:59.250Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:00.528Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:01.342Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:02.124Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:02.901Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:02.901Z] 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. [2025-06-18T21:15:02.901Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:02.901Z] Top recommended movies for user id 72: [2025-06-18T21:15:02.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:02.901Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:02.901Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:02.901Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:02.901Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:02.901Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9046.643 ms) ====== [2025-06-18T21:15:02.901Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T21:15:02.901Z] GC before operation: completed in 49.497 ms, heap usage 195.196 MB -> 89.694 MB. [2025-06-18T21:15:04.708Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:05.937Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:07.197Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:09.038Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:09.867Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:10.622Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:11.871Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:12.673Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:13.029Z] 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. [2025-06-18T21:15:13.029Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:13.029Z] Top recommended movies for user id 72: [2025-06-18T21:15:13.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:13.029Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:13.029Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:13.029Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:13.029Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:13.029Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9940.669 ms) ====== [2025-06-18T21:15:13.029Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T21:15:13.029Z] GC before operation: completed in 60.327 ms, heap usage 153.607 MB -> 93.043 MB. [2025-06-18T21:15:14.796Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:16.595Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:17.851Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:19.121Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:19.887Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:20.642Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:21.404Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:22.158Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:22.507Z] 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. [2025-06-18T21:15:22.507Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:22.507Z] Top recommended movies for user id 72: [2025-06-18T21:15:22.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:22.507Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:22.507Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:22.507Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:22.507Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:22.507Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9471.862 ms) ====== [2025-06-18T21:15:22.507Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T21:15:22.507Z] GC before operation: completed in 62.055 ms, heap usage 356.750 MB -> 95.841 MB. [2025-06-18T21:15:23.733Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:24.968Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:26.200Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:27.431Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:28.196Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:28.950Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:29.719Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:30.492Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:30.850Z] 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. [2025-06-18T21:15:30.850Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:30.850Z] Top recommended movies for user id 72: [2025-06-18T21:15:30.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:30.850Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:30.850Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:30.850Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:30.850Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:30.850Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8210.282 ms) ====== [2025-06-18T21:15:30.850Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T21:15:30.850Z] GC before operation: completed in 74.054 ms, heap usage 508.669 MB -> 90.511 MB. [2025-06-18T21:15:32.131Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:33.918Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:35.157Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:36.390Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:37.151Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:37.903Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:38.676Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:39.025Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:39.378Z] 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. [2025-06-18T21:15:39.378Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:39.378Z] Top recommended movies for user id 72: [2025-06-18T21:15:39.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:39.378Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:39.378Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:39.378Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:39.378Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:39.378Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8509.147 ms) ====== [2025-06-18T21:15:39.378Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T21:15:39.378Z] GC before operation: completed in 56.255 ms, heap usage 411.475 MB -> 90.087 MB. [2025-06-18T21:15:40.592Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:41.840Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:43.099Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:44.325Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:45.141Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:45.908Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:46.686Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:47.936Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:47.936Z] 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. [2025-06-18T21:15:47.936Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:47.936Z] Top recommended movies for user id 72: [2025-06-18T21:15:47.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:47.936Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:47.936Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:47.936Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:47.936Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:47.936Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8602.477 ms) ====== [2025-06-18T21:15:47.936Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T21:15:47.936Z] GC before operation: completed in 71.682 ms, heap usage 157.634 MB -> 89.943 MB. [2025-06-18T21:15:49.698Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:15:50.957Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:15:52.733Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:15:53.997Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:15:54.368Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:15:55.140Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:15:56.386Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:15:56.745Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:15:57.113Z] 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. [2025-06-18T21:15:57.113Z] The best model improves the baseline by 14.52%. [2025-06-18T21:15:57.113Z] Top recommended movies for user id 72: [2025-06-18T21:15:57.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:15:57.113Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:15:57.113Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:15:57.113Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:15:57.113Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:15:57.113Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9007.670 ms) ====== [2025-06-18T21:15:57.113Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T21:15:57.113Z] GC before operation: completed in 58.259 ms, heap usage 269.594 MB -> 90.225 MB. [2025-06-18T21:15:58.329Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:00.989Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:01.356Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:02.618Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:03.403Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:04.196Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:05.465Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:05.820Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:06.183Z] 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. [2025-06-18T21:16:06.183Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:06.183Z] Top recommended movies for user id 72: [2025-06-18T21:16:06.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:06.183Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:06.183Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:06.183Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:06.183Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:06.183Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9008.123 ms) ====== [2025-06-18T21:16:06.183Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T21:16:06.183Z] GC before operation: completed in 58.316 ms, heap usage 115.305 MB -> 89.752 MB. [2025-06-18T21:16:07.953Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:09.214Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:10.436Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:11.663Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:12.434Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:13.659Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:14.418Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:15.241Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:15.606Z] 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. [2025-06-18T21:16:15.606Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:15.606Z] Top recommended movies for user id 72: [2025-06-18T21:16:15.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:15.606Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:15.606Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:15.606Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:15.606Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:15.606Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9304.475 ms) ====== [2025-06-18T21:16:15.606Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T21:16:15.606Z] GC before operation: completed in 74.006 ms, heap usage 279.038 MB -> 90.219 MB. [2025-06-18T21:16:17.375Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:18.592Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:19.808Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:21.044Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:22.274Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:23.102Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:23.876Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:24.643Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:24.643Z] 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. [2025-06-18T21:16:24.643Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:24.643Z] Top recommended movies for user id 72: [2025-06-18T21:16:24.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:24.643Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:24.643Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:24.643Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:24.643Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:24.643Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9031.127 ms) ====== [2025-06-18T21:16:24.643Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T21:16:24.643Z] GC before operation: completed in 54.412 ms, heap usage 191.210 MB -> 89.935 MB. [2025-06-18T21:16:25.862Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:27.090Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:28.884Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:29.638Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:30.399Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:31.164Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:31.925Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:32.694Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:33.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T21:16:33.063Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:33.063Z] Top recommended movies for user id 72: [2025-06-18T21:16:33.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:33.063Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:33.063Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:33.063Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:33.063Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:33.063Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8293.628 ms) ====== [2025-06-18T21:16:33.063Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T21:16:33.063Z] GC before operation: completed in 56.127 ms, heap usage 344.248 MB -> 90.369 MB. [2025-06-18T21:16:34.282Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:36.074Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:37.301Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:38.540Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:38.890Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:40.122Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:40.475Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:41.246Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:41.707Z] 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. [2025-06-18T21:16:41.707Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:41.707Z] Top recommended movies for user id 72: [2025-06-18T21:16:41.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:41.707Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:41.707Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:41.707Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:41.707Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:41.707Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8531.656 ms) ====== [2025-06-18T21:16:41.707Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T21:16:41.707Z] GC before operation: completed in 58.215 ms, heap usage 254.164 MB -> 90.058 MB. [2025-06-18T21:16:42.942Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:44.697Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:45.937Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:47.747Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:48.511Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:49.266Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:50.041Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:50.816Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:50.816Z] 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. [2025-06-18T21:16:50.816Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:51.168Z] Top recommended movies for user id 72: [2025-06-18T21:16:51.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:51.168Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:51.168Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:51.168Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:51.168Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:51.168Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9391.283 ms) ====== [2025-06-18T21:16:51.168Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T21:16:51.168Z] GC before operation: completed in 60.519 ms, heap usage 237.373 MB -> 90.107 MB. [2025-06-18T21:16:52.481Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:16:53.696Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:16:54.922Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:16:56.138Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:16:56.894Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:16:57.655Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:16:58.426Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:16:59.256Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:16:59.256Z] 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. [2025-06-18T21:16:59.256Z] The best model improves the baseline by 14.52%. [2025-06-18T21:16:59.256Z] Top recommended movies for user id 72: [2025-06-18T21:16:59.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T21:16:59.256Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T21:16:59.256Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T21:16:59.256Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T21:16:59.256Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T21:16:59.256Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8283.577 ms) ====== [2025-06-18T21:16:59.606Z] ----------------------------------- [2025-06-18T21:16:59.606Z] renaissance-movie-lens_0_PASSED [2025-06-18T21:16:59.606Z] ----------------------------------- [2025-06-18T21:16:59.607Z] [2025-06-18T21:16:59.607Z] TEST TEARDOWN: [2025-06-18T21:16:59.607Z] Nothing to be done for teardown. [2025-06-18T21:16:59.607Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 17:16:59 2025 Epoch Time (ms): 1750281419435