[2025-06-11T20:02:37.028Z] Running test renaissance-movie-lens_0 ... [2025-06-11T20:02:37.028Z] =============================================== [2025-06-11T20:02:37.028Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 16:02:34 2025 Epoch Time (ms): 1749672154634 [2025-06-11T20:02:37.028Z] variation: NoOptions [2025-06-11T20:02:37.028Z] JVM_OPTIONS: [2025-06-11T20:02:37.028Z] { \ [2025-06-11T20:02:37.028Z] echo ""; echo "TEST SETUP:"; \ [2025-06-11T20:02:37.028Z] echo "Nothing to be done for setup."; \ [2025-06-11T20:02:37.028Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17496716706060/renaissance-movie-lens_0"; \ [2025-06-11T20:02:37.028Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17496716706060/renaissance-movie-lens_0"; \ [2025-06-11T20:02:37.028Z] echo ""; echo "TESTING:"; \ [2025-06-11T20:02:37.028Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17496716706060/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-11T20:02:37.028Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17496716706060/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-11T20:02:37.028Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-11T20:02:37.028Z] echo "Nothing to be done for teardown."; \ [2025-06-11T20:02:37.028Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17496716706060/TestTargetResult"; [2025-06-11T20:02:37.028Z] [2025-06-11T20:02:37.028Z] TEST SETUP: [2025-06-11T20:02:37.028Z] Nothing to be done for setup. [2025-06-11T20:02:37.028Z] [2025-06-11T20:02:37.028Z] TESTING: [2025-06-11T20:02:40.144Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-11T20:02:42.535Z] 16:02:40.262 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. [2025-06-11T20:02:43.804Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-11T20:02:43.805Z] Training: 60056, validation: 20285, test: 19854 [2025-06-11T20:02:43.805Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-11T20:02:43.805Z] GC before operation: completed in 54.146 ms, heap usage 151.664 MB -> 75.862 MB. [2025-06-11T20:02:46.964Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:02:48.768Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:02:50.557Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:02:51.782Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:02:53.027Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:02:53.801Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:02:54.572Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:02:55.348Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:02:55.710Z] 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. [2025-06-11T20:02:55.710Z] The best model improves the baseline by 14.52%. [2025-06-11T20:02:55.710Z] Top recommended movies for user id 72: [2025-06-11T20:02:55.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:02:55.710Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:02:55.710Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:02:55.710Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:02:55.710Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:02:55.710Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11908.622 ms) ====== [2025-06-11T20:02:55.710Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-11T20:02:55.710Z] GC before operation: completed in 85.569 ms, heap usage 156.850 MB -> 92.132 MB. [2025-06-11T20:02:57.501Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:02:58.740Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:00.554Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:01.331Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:02.596Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:03.389Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:04.153Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:04.922Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:04.922Z] 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. [2025-06-11T20:03:04.922Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:05.293Z] Top recommended movies for user id 72: [2025-06-11T20:03:05.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:05.293Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:05.293Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:05.293Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:05.293Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:05.293Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9282.079 ms) ====== [2025-06-11T20:03:05.293Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-11T20:03:05.293Z] GC before operation: completed in 78.326 ms, heap usage 266.526 MB -> 88.464 MB. [2025-06-11T20:03:06.543Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:07.823Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:09.583Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:10.822Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:11.581Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:12.350Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:13.582Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:13.949Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:14.311Z] 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. [2025-06-11T20:03:14.311Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:14.311Z] Top recommended movies for user id 72: [2025-06-11T20:03:14.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:14.311Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:14.311Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:14.311Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:14.311Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:14.311Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9145.004 ms) ====== [2025-06-11T20:03:14.311Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-11T20:03:14.311Z] GC before operation: completed in 64.723 ms, heap usage 278.067 MB -> 89.077 MB. [2025-06-11T20:03:15.550Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:17.321Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:18.556Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:19.795Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:20.579Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:21.345Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:22.600Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:23.406Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:23.406Z] 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. [2025-06-11T20:03:23.406Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:23.406Z] Top recommended movies for user id 72: [2025-06-11T20:03:23.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:23.406Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:23.406Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:23.406Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:23.406Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:23.406Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9130.949 ms) ====== [2025-06-11T20:03:23.406Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-11T20:03:23.795Z] GC before operation: completed in 56.361 ms, heap usage 136.632 MB -> 89.129 MB. [2025-06-11T20:03:25.042Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:26.291Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:28.070Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:29.329Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:29.684Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:30.502Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:31.801Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:32.182Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:32.539Z] 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. [2025-06-11T20:03:32.539Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:32.539Z] Top recommended movies for user id 72: [2025-06-11T20:03:32.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:32.539Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:32.539Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:32.539Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:32.539Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:32.539Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8933.444 ms) ====== [2025-06-11T20:03:32.539Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-11T20:03:32.539Z] GC before operation: completed in 60.266 ms, heap usage 366.181 MB -> 89.445 MB. [2025-06-11T20:03:34.332Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:35.574Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:36.801Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:38.052Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:38.826Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:40.072Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:40.842Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:41.662Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:41.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-11T20:03:41.662Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:41.662Z] Top recommended movies for user id 72: [2025-06-11T20:03:41.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:41.662Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:41.662Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:41.662Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:41.662Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:41.662Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9083.271 ms) ====== [2025-06-11T20:03:41.662Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-11T20:03:41.662Z] GC before operation: completed in 59.809 ms, heap usage 244.725 MB -> 89.658 MB. [2025-06-11T20:03:42.906Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:44.708Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:45.946Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:47.249Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:47.609Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:50.786Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:50.786Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:50.786Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:50.786Z] 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. [2025-06-11T20:03:50.786Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:50.786Z] Top recommended movies for user id 72: [2025-06-11T20:03:50.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:50.786Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:50.786Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:50.786Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:50.786Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:50.786Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8520.548 ms) ====== [2025-06-11T20:03:50.786Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-11T20:03:50.786Z] GC before operation: completed in 48.853 ms, heap usage 391.928 MB -> 89.776 MB. [2025-06-11T20:03:51.561Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:03:52.797Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:03:54.031Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:03:55.284Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:03:56.521Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:03:57.286Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:03:58.051Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:03:58.810Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:03:58.810Z] 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. [2025-06-11T20:03:58.810Z] The best model improves the baseline by 14.52%. [2025-06-11T20:03:59.163Z] Top recommended movies for user id 72: [2025-06-11T20:03:59.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:03:59.163Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:03:59.163Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:03:59.163Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:03:59.163Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:03:59.163Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8718.349 ms) ====== [2025-06-11T20:03:59.163Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-11T20:03:59.163Z] GC before operation: completed in 56.061 ms, heap usage 140.842 MB -> 89.536 MB. [2025-06-11T20:04:00.414Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:01.734Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:02.989Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:04.255Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:05.020Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:06.278Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:07.057Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:07.829Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:07.829Z] 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. [2025-06-11T20:04:07.829Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:08.187Z] Top recommended movies for user id 72: [2025-06-11T20:04:08.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:08.187Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:08.187Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:08.187Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:08.187Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:08.187Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8954.881 ms) ====== [2025-06-11T20:04:08.187Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-11T20:04:08.187Z] GC before operation: completed in 60.021 ms, heap usage 193.723 MB -> 89.434 MB. [2025-06-11T20:04:09.427Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:10.660Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:12.469Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:13.236Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:14.001Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:14.769Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:15.525Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:16.284Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:16.284Z] 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. [2025-06-11T20:04:16.284Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:16.645Z] Top recommended movies for user id 72: [2025-06-11T20:04:16.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:16.645Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:16.645Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:16.645Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:16.645Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:16.645Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8386.781 ms) ====== [2025-06-11T20:04:16.645Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-11T20:04:16.645Z] GC before operation: completed in 59.426 ms, heap usage 262.524 MB -> 89.908 MB. [2025-06-11T20:04:17.872Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:19.131Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:20.370Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:21.621Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:22.397Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:23.160Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:23.965Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:24.736Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:24.736Z] 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. [2025-06-11T20:04:25.097Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:25.097Z] Top recommended movies for user id 72: [2025-06-11T20:04:25.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:25.097Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:25.097Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:25.097Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:25.097Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:25.097Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8440.739 ms) ====== [2025-06-11T20:04:25.097Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-11T20:04:25.097Z] GC before operation: completed in 58.702 ms, heap usage 103.284 MB -> 92.476 MB. [2025-06-11T20:04:26.338Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:27.575Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:28.865Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:30.108Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:30.865Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:31.644Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:32.880Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:33.288Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:33.288Z] 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. [2025-06-11T20:04:33.288Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:33.646Z] Top recommended movies for user id 72: [2025-06-11T20:04:33.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:33.646Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:33.646Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:33.646Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:33.646Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:33.646Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8435.370 ms) ====== [2025-06-11T20:04:33.646Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-11T20:04:33.646Z] GC before operation: completed in 51.924 ms, heap usage 156.511 MB -> 90.908 MB. [2025-06-11T20:04:34.887Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:36.156Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:37.392Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:38.627Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:39.435Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:40.194Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:41.494Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:41.855Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:42.214Z] 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. [2025-06-11T20:04:42.214Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:42.214Z] Top recommended movies for user id 72: [2025-06-11T20:04:42.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:42.214Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:42.214Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:42.214Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:42.214Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:42.214Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8718.936 ms) ====== [2025-06-11T20:04:42.214Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-11T20:04:42.214Z] GC before operation: completed in 53.564 ms, heap usage 100.380 MB -> 89.705 MB. [2025-06-11T20:04:43.458Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:44.680Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:46.477Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:47.241Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:48.011Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:48.780Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:49.554Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:50.359Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:50.716Z] 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. [2025-06-11T20:04:50.716Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:50.716Z] Top recommended movies for user id 72: [2025-06-11T20:04:50.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:50.716Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:50.716Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:50.716Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:50.716Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:50.716Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8378.165 ms) ====== [2025-06-11T20:04:50.716Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-11T20:04:50.716Z] GC before operation: completed in 70.486 ms, heap usage 440.493 MB -> 90.075 MB. [2025-06-11T20:04:51.954Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:04:53.193Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:04:54.450Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:04:55.691Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:04:56.452Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:04:57.211Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:04:57.977Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:04:58.759Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:04:58.759Z] 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. [2025-06-11T20:04:58.759Z] The best model improves the baseline by 14.52%. [2025-06-11T20:04:58.759Z] Top recommended movies for user id 72: [2025-06-11T20:04:58.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:04:58.759Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:04:58.759Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:04:58.759Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:04:58.759Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:04:58.759Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7993.733 ms) ====== [2025-06-11T20:04:58.759Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-11T20:04:58.759Z] GC before operation: completed in 49.793 ms, heap usage 249.821 MB -> 89.895 MB. [2025-06-11T20:05:00.002Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:05:00.794Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:05:02.079Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:05:03.347Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:05:03.713Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:05:04.484Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:05:05.244Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:05:06.016Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:05:06.016Z] 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. [2025-06-11T20:05:06.016Z] The best model improves the baseline by 14.52%. [2025-06-11T20:05:06.016Z] Top recommended movies for user id 72: [2025-06-11T20:05:06.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:05:06.016Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:05:06.016Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:05:06.016Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:05:06.016Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:05:06.016Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7265.208 ms) ====== [2025-06-11T20:05:06.016Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-11T20:05:06.016Z] GC before operation: completed in 50.899 ms, heap usage 396.907 MB -> 90.130 MB. [2025-06-11T20:05:07.271Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:05:08.518Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:05:10.316Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:05:11.080Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:05:11.969Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:05:12.733Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:05:13.520Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:05:14.305Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:05:14.666Z] 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. [2025-06-11T20:05:14.666Z] The best model improves the baseline by 14.52%. [2025-06-11T20:05:14.666Z] Top recommended movies for user id 72: [2025-06-11T20:05:14.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:05:14.666Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:05:14.666Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:05:14.666Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:05:14.666Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:05:14.666Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8483.675 ms) ====== [2025-06-11T20:05:14.666Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-11T20:05:14.666Z] GC before operation: completed in 60.972 ms, heap usage 322.602 MB -> 90.015 MB. [2025-06-11T20:05:15.886Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:05:17.146Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:05:18.945Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:05:20.238Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:05:21.003Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:05:21.765Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:05:22.537Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:05:23.304Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:05:23.304Z] 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. [2025-06-11T20:05:23.304Z] The best model improves the baseline by 14.52%. [2025-06-11T20:05:23.304Z] Top recommended movies for user id 72: [2025-06-11T20:05:23.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:05:23.304Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:05:23.304Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:05:23.304Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:05:23.304Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:05:23.304Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8786.736 ms) ====== [2025-06-11T20:05:23.304Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-11T20:05:23.658Z] GC before operation: completed in 61.186 ms, heap usage 202.868 MB -> 89.656 MB. [2025-06-11T20:05:24.893Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:05:26.128Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:05:27.369Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:05:28.593Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:05:29.389Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:05:30.174Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:05:30.954Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:05:31.311Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:05:31.665Z] 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. [2025-06-11T20:05:31.665Z] The best model improves the baseline by 14.52%. [2025-06-11T20:05:31.665Z] Top recommended movies for user id 72: [2025-06-11T20:05:31.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:05:31.665Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:05:31.665Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:05:31.665Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:05:31.665Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:05:31.665Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8073.603 ms) ====== [2025-06-11T20:05:31.665Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-11T20:05:31.665Z] GC before operation: completed in 63.349 ms, heap usage 178.979 MB -> 91.486 MB. [2025-06-11T20:05:32.893Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T20:05:34.160Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T20:05:35.416Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T20:05:36.658Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T20:05:37.422Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T20:05:38.184Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T20:05:38.983Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T20:05:39.769Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T20:05:40.125Z] 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. [2025-06-11T20:05:40.125Z] The best model improves the baseline by 14.52%. [2025-06-11T20:05:40.125Z] Top recommended movies for user id 72: [2025-06-11T20:05:40.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-11T20:05:40.125Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-11T20:05:40.125Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-11T20:05:40.125Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-11T20:05:40.125Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-11T20:05:40.125Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8392.034 ms) ====== [2025-06-11T20:05:40.125Z] ----------------------------------- [2025-06-11T20:05:40.125Z] renaissance-movie-lens_0_PASSED [2025-06-11T20:05:40.125Z] ----------------------------------- [2025-06-11T20:05:40.125Z] [2025-06-11T20:05:40.125Z] TEST TEARDOWN: [2025-06-11T20:05:40.125Z] Nothing to be done for teardown. [2025-06-11T20:05:40.125Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 16:05:38 2025 Epoch Time (ms): 1749672338028