[2025-03-30T21:35:58.259Z] Running test renaissance-movie-lens_0 ... [2025-03-30T21:35:58.259Z] =============================================== [2025-03-30T21:35:58.661Z] renaissance-movie-lens_0 Start Time: Sun Mar 30 14:35:58 2025 Epoch Time (ms): 1743370558157 [2025-03-30T21:35:58.661Z] variation: NoOptions [2025-03-30T21:35:58.661Z] JVM_OPTIONS: [2025-03-30T21:35:58.661Z] { \ [2025-03-30T21:35:58.661Z] echo ""; echo "TEST SETUP:"; \ [2025-03-30T21:35:58.661Z] echo "Nothing to be done for setup."; \ [2025-03-30T21:35:58.661Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17433691411475/renaissance-movie-lens_0"; \ [2025-03-30T21:35:58.661Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17433691411475/renaissance-movie-lens_0"; \ [2025-03-30T21:35:58.661Z] echo ""; echo "TESTING:"; \ [2025-03-30T21:35:58.661Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17433691411475/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-30T21:35:58.661Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17433691411475/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-30T21:35:58.661Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-30T21:35:58.661Z] echo "Nothing to be done for teardown."; \ [2025-03-30T21:35:58.661Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17433691411475/TestTargetResult"; [2025-03-30T21:35:58.661Z] [2025-03-30T21:35:58.661Z] TEST SETUP: [2025-03-30T21:35:58.661Z] Nothing to be done for setup. [2025-03-30T21:35:58.661Z] [2025-03-30T21:35:58.661Z] TESTING: [2025-03-30T21:36:04.220Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-03-30T21:36:09.825Z] 14:36:08.933 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. [2025-03-30T21:36:11.318Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-30T21:36:11.761Z] Training: 60056, validation: 20285, test: 19854 [2025-03-30T21:36:11.761Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-30T21:36:12.200Z] GC before operation: completed in 119.615 ms, heap usage 204.350 MB -> 74.392 MB. [2025-03-30T21:36:17.844Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:36:22.400Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:36:25.987Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:36:29.588Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:36:31.641Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:36:33.065Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:36:35.089Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:36:37.129Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:36:37.129Z] 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. [2025-03-30T21:36:37.547Z] The best model improves the baseline by 14.52%. [2025-03-30T21:36:37.547Z] Top recommended movies for user id 72: [2025-03-30T21:36:37.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:36:37.547Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:36:37.547Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:36:37.547Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:36:37.547Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:36:37.547Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25545.884 ms) ====== [2025-03-30T21:36:37.547Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-30T21:36:37.547Z] GC before operation: completed in 132.586 ms, heap usage 169.452 MB -> 88.194 MB. [2025-03-30T21:36:41.142Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:36:45.550Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:36:48.331Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:36:51.923Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:36:53.386Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:36:56.114Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:36:57.530Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:37:00.301Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:37:00.301Z] 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. [2025-03-30T21:37:00.301Z] The best model improves the baseline by 14.52%. [2025-03-30T21:37:00.301Z] Top recommended movies for user id 72: [2025-03-30T21:37:00.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:37:00.301Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:37:00.301Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:37:00.301Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:37:00.301Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:37:00.301Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22675.499 ms) ====== [2025-03-30T21:37:00.301Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-30T21:37:00.301Z] GC before operation: completed in 128.120 ms, heap usage 380.400 MB -> 87.349 MB. [2025-03-30T21:37:04.865Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:37:07.636Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:37:11.152Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:37:14.752Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:37:16.774Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:37:18.851Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:37:21.621Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:37:23.717Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:37:23.717Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-03-30T21:37:23.717Z] The best model improves the baseline by 14.52%. [2025-03-30T21:37:24.140Z] Top recommended movies for user id 72: [2025-03-30T21:37:24.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:37:24.140Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:37:24.140Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:37:24.140Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:37:24.140Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:37:24.140Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23488.570 ms) ====== [2025-03-30T21:37:24.140Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-30T21:37:24.140Z] GC before operation: completed in 117.858 ms, heap usage 213.544 MB -> 87.719 MB. [2025-03-30T21:37:27.732Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:37:31.250Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:37:34.796Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:37:38.343Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:37:39.804Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:37:41.884Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:37:43.962Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:37:46.043Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:37:46.471Z] 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. [2025-03-30T21:37:46.471Z] The best model improves the baseline by 14.52%. [2025-03-30T21:37:46.471Z] Top recommended movies for user id 72: [2025-03-30T21:37:46.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:37:46.471Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:37:46.472Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:37:46.472Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:37:46.472Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:37:46.472Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22519.427 ms) ====== [2025-03-30T21:37:46.472Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-30T21:37:46.891Z] GC before operation: completed in 142.386 ms, heap usage 370.468 MB -> 88.224 MB. [2025-03-30T21:37:51.318Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:37:54.066Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:37:57.609Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:38:00.336Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:38:01.848Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:38:03.333Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:38:04.817Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:38:06.226Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:38:06.649Z] 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. [2025-03-30T21:38:06.649Z] The best model improves the baseline by 14.52%. [2025-03-30T21:38:06.649Z] Top recommended movies for user id 72: [2025-03-30T21:38:06.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:38:06.650Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:38:06.650Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:38:06.650Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:38:06.650Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:38:06.650Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19842.628 ms) ====== [2025-03-30T21:38:06.650Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-30T21:38:06.650Z] GC before operation: completed in 128.707 ms, heap usage 229.718 MB -> 87.970 MB. [2025-03-30T21:38:10.129Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:38:12.827Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:38:15.517Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:38:18.186Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:38:20.245Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:38:22.280Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:38:23.745Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:38:24.648Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:38:25.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-03-30T21:38:25.084Z] The best model improves the baseline by 14.52%. [2025-03-30T21:38:25.084Z] Top recommended movies for user id 72: [2025-03-30T21:38:25.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:38:25.084Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:38:25.084Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:38:25.084Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:38:25.084Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:38:25.084Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18418.875 ms) ====== [2025-03-30T21:38:25.084Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-30T21:38:25.084Z] GC before operation: completed in 111.227 ms, heap usage 291.730 MB -> 88.381 MB. [2025-03-30T21:38:27.829Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:38:30.607Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:38:33.358Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:38:35.426Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:38:36.875Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:38:38.317Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:38:39.738Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:38:41.150Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:38:41.151Z] 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. [2025-03-30T21:38:41.151Z] The best model improves the baseline by 14.52%. [2025-03-30T21:38:41.586Z] Top recommended movies for user id 72: [2025-03-30T21:38:41.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:38:41.586Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:38:41.586Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:38:41.586Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:38:41.586Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:38:41.586Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16185.106 ms) ====== [2025-03-30T21:38:41.586Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-30T21:38:41.586Z] GC before operation: completed in 107.030 ms, heap usage 393.060 MB -> 88.487 MB. [2025-03-30T21:38:44.279Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:38:46.321Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:38:49.038Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:38:51.700Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:38:53.740Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:38:54.612Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:38:56.064Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:38:57.509Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:38:57.924Z] 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. [2025-03-30T21:38:57.924Z] The best model improves the baseline by 14.52%. [2025-03-30T21:38:57.924Z] Top recommended movies for user id 72: [2025-03-30T21:38:57.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:38:57.924Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:38:57.924Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:38:57.924Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:38:57.924Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:38:57.924Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16329.902 ms) ====== [2025-03-30T21:38:57.924Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-30T21:38:57.924Z] GC before operation: completed in 105.164 ms, heap usage 227.933 MB -> 88.421 MB. [2025-03-30T21:39:00.790Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:39:02.835Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:39:05.627Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:39:07.680Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:39:09.065Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:39:11.098Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:39:13.874Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:39:15.293Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:39:15.716Z] 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. [2025-03-30T21:39:15.716Z] The best model improves the baseline by 14.52%. [2025-03-30T21:39:15.716Z] Top recommended movies for user id 72: [2025-03-30T21:39:15.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:39:15.716Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:39:15.716Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:39:15.716Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:39:15.716Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:39:15.716Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17802.977 ms) ====== [2025-03-30T21:39:15.716Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-30T21:39:15.716Z] GC before operation: completed in 108.848 ms, heap usage 359.792 MB -> 88.500 MB. [2025-03-30T21:39:19.257Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:39:22.778Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:39:26.260Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:39:28.950Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:39:30.968Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:39:33.007Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:39:34.984Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:39:37.013Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:39:37.013Z] 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. [2025-03-30T21:39:37.013Z] The best model improves the baseline by 14.52%. [2025-03-30T21:39:37.013Z] Top recommended movies for user id 72: [2025-03-30T21:39:37.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:39:37.013Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:39:37.013Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:39:37.013Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:39:37.013Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:39:37.013Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21198.613 ms) ====== [2025-03-30T21:39:37.013Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-30T21:39:37.419Z] GC before operation: completed in 117.958 ms, heap usage 403.357 MB -> 88.805 MB. [2025-03-30T21:39:40.940Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:39:44.455Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:39:47.155Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:39:50.635Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:39:52.669Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:39:54.665Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:39:56.108Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:39:58.121Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:39:58.540Z] 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. [2025-03-30T21:39:58.540Z] The best model improves the baseline by 14.52%. [2025-03-30T21:39:58.540Z] Top recommended movies for user id 72: [2025-03-30T21:39:58.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:39:58.540Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:39:58.540Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:39:58.540Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:39:58.540Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:39:58.540Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21433.786 ms) ====== [2025-03-30T21:39:58.540Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-30T21:39:58.942Z] GC before operation: completed in 115.175 ms, heap usage 170.610 MB -> 88.196 MB. [2025-03-30T21:40:02.504Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:40:05.290Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:40:08.743Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:40:11.553Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:40:13.640Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:40:15.646Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:40:17.690Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:40:19.122Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:40:19.519Z] 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. [2025-03-30T21:40:19.519Z] The best model improves the baseline by 14.52%. [2025-03-30T21:40:19.933Z] Top recommended movies for user id 72: [2025-03-30T21:40:19.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:40:19.933Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:40:19.933Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:40:19.933Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:40:19.933Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:40:19.933Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20978.196 ms) ====== [2025-03-30T21:40:19.933Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-30T21:40:19.933Z] GC before operation: completed in 102.255 ms, heap usage 283.039 MB -> 88.578 MB. [2025-03-30T21:40:23.420Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:40:26.916Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:40:30.442Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:40:33.134Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:40:35.266Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:40:37.331Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:40:38.798Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:40:40.868Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:40:41.305Z] 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. [2025-03-30T21:40:41.305Z] The best model improves the baseline by 14.52%. [2025-03-30T21:40:41.305Z] Top recommended movies for user id 72: [2025-03-30T21:40:41.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:40:41.305Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:40:41.305Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:40:41.305Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:40:41.305Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:40:41.305Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21570.263 ms) ====== [2025-03-30T21:40:41.305Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-30T21:40:41.735Z] GC before operation: completed in 104.803 ms, heap usage 373.552 MB -> 88.783 MB. [2025-03-30T21:40:45.273Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:40:48.050Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:40:51.566Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:40:54.312Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:40:56.362Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:40:57.884Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:40:59.955Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:41:01.493Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:41:01.937Z] 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. [2025-03-30T21:41:01.937Z] The best model improves the baseline by 14.52%. [2025-03-30T21:41:01.937Z] Top recommended movies for user id 72: [2025-03-30T21:41:01.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:41:01.938Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:41:01.938Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:41:01.938Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:41:01.938Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:41:01.938Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20435.142 ms) ====== [2025-03-30T21:41:01.938Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-30T21:41:01.938Z] GC before operation: completed in 101.947 ms, heap usage 203.803 MB -> 88.368 MB. [2025-03-30T21:41:05.567Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:41:08.286Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:41:11.036Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:41:13.832Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:41:14.755Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:41:16.140Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:41:17.539Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:41:18.952Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:41:19.396Z] 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. [2025-03-30T21:41:19.396Z] The best model improves the baseline by 14.52%. [2025-03-30T21:41:19.396Z] Top recommended movies for user id 72: [2025-03-30T21:41:19.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:41:19.396Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:41:19.396Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:41:19.396Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:41:19.396Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:41:19.396Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17380.271 ms) ====== [2025-03-30T21:41:19.396Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-30T21:41:19.396Z] GC before operation: completed in 111.748 ms, heap usage 368.966 MB -> 88.831 MB. [2025-03-30T21:41:22.870Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:41:25.563Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:41:28.284Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:41:30.998Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:41:31.889Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:41:33.304Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:41:34.733Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:41:36.206Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:41:36.206Z] 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. [2025-03-30T21:41:36.206Z] The best model improves the baseline by 14.52%. [2025-03-30T21:41:36.638Z] Top recommended movies for user id 72: [2025-03-30T21:41:36.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:41:36.638Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:41:36.638Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:41:36.638Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:41:36.638Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:41:36.638Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16901.822 ms) ====== [2025-03-30T21:41:36.638Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-30T21:41:36.638Z] GC before operation: completed in 114.653 ms, heap usage 128.810 MB -> 91.387 MB. [2025-03-30T21:41:39.341Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:41:41.356Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:41:44.101Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:41:46.082Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:41:46.976Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:41:48.397Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:41:49.838Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:41:51.252Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:41:51.252Z] 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. [2025-03-30T21:41:51.252Z] The best model improves the baseline by 14.52%. [2025-03-30T21:41:51.683Z] Top recommended movies for user id 72: [2025-03-30T21:41:51.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:41:51.683Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:41:51.683Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:41:51.683Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:41:51.683Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:41:51.683Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14886.668 ms) ====== [2025-03-30T21:41:51.683Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-30T21:41:51.683Z] GC before operation: completed in 116.919 ms, heap usage 431.601 MB -> 88.885 MB. [2025-03-30T21:41:54.446Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:41:57.116Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:42:00.707Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:42:03.391Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:42:05.411Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:42:06.850Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:42:08.948Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:42:10.348Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:42:10.757Z] 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. [2025-03-30T21:42:10.757Z] The best model improves the baseline by 14.52%. [2025-03-30T21:42:11.184Z] Top recommended movies for user id 72: [2025-03-30T21:42:11.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:42:11.184Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:42:11.184Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:42:11.184Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:42:11.184Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:42:11.184Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19421.489 ms) ====== [2025-03-30T21:42:11.184Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-30T21:42:11.184Z] GC before operation: completed in 119.462 ms, heap usage 448.203 MB -> 88.780 MB. [2025-03-30T21:42:14.695Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:42:18.198Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:42:21.670Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:42:25.236Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:42:26.640Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:42:28.631Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:42:30.023Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:42:32.094Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:42:32.557Z] 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. [2025-03-30T21:42:32.557Z] The best model improves the baseline by 14.52%. [2025-03-30T21:42:32.557Z] Top recommended movies for user id 72: [2025-03-30T21:42:32.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:42:32.557Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:42:32.557Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:42:32.557Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:42:32.557Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:42:32.557Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21370.288 ms) ====== [2025-03-30T21:42:32.557Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-30T21:42:32.557Z] GC before operation: completed in 121.272 ms, heap usage 445.633 MB -> 88.893 MB. [2025-03-30T21:42:36.079Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:42:39.583Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:42:43.083Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:42:45.831Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:42:47.836Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:42:49.269Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:42:51.926Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:42:53.414Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:42:53.832Z] 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. [2025-03-30T21:42:53.832Z] The best model improves the baseline by 14.52%. [2025-03-30T21:42:53.832Z] Top recommended movies for user id 72: [2025-03-30T21:42:53.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-03-30T21:42:53.832Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-03-30T21:42:53.832Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-03-30T21:42:53.832Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-03-30T21:42:53.832Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-03-30T21:42:53.832Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21267.091 ms) ====== [2025-03-30T21:42:54.235Z] ----------------------------------- [2025-03-30T21:42:54.235Z] renaissance-movie-lens_0_PASSED [2025-03-30T21:42:54.235Z] ----------------------------------- [2025-03-30T21:42:54.235Z] [2025-03-30T21:42:54.235Z] TEST TEARDOWN: [2025-03-30T21:42:54.235Z] Nothing to be done for teardown. [2025-03-30T21:42:54.636Z] renaissance-movie-lens_0 Finish Time: Sun Mar 30 14:42:54 2025 Epoch Time (ms): 1743370974142