[2025-05-21T22:26:37.812Z] Running test renaissance-movie-lens_0 ... [2025-05-21T22:26:38.278Z] =============================================== [2025-05-21T22:26:38.727Z] renaissance-movie-lens_0 Start Time: Wed May 21 15:26:38 2025 Epoch Time (ms): 1747866398413 [2025-05-21T22:26:39.186Z] variation: NoOptions [2025-05-21T22:26:39.186Z] JVM_OPTIONS: [2025-05-21T22:26:39.186Z] { \ [2025-05-21T22:26:39.186Z] echo ""; echo "TEST SETUP:"; \ [2025-05-21T22:26:39.186Z] echo "Nothing to be done for setup."; \ [2025-05-21T22:26:39.186Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17478624159033/renaissance-movie-lens_0"; \ [2025-05-21T22:26:39.186Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17478624159033/renaissance-movie-lens_0"; \ [2025-05-21T22:26:39.186Z] echo ""; echo "TESTING:"; \ [2025-05-21T22:26:39.186Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17478624159033/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-21T22:26:39.186Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17478624159033/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-21T22:26:39.186Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-21T22:26:39.186Z] echo "Nothing to be done for teardown."; \ [2025-05-21T22:26:39.186Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17478624159033/TestTargetResult"; [2025-05-21T22:26:39.186Z] [2025-05-21T22:26:39.186Z] TEST SETUP: [2025-05-21T22:26:39.186Z] Nothing to be done for setup. [2025-05-21T22:26:39.653Z] [2025-05-21T22:26:39.653Z] TESTING: [2025-05-21T22:27:10.770Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-21T22:27:42.108Z] 15:27:36.740 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-21T22:27:57.418Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-21T22:28:00.012Z] Training: 60056, validation: 20285, test: 19854 [2025-05-21T22:28:00.012Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-21T22:28:00.461Z] GC before operation: completed in 363.249 ms, heap usage 277.641 MB -> 75.581 MB. [2025-05-21T22:29:04.163Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:29:28.066Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:30:00.860Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:30:23.554Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:30:35.328Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:30:47.901Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:30:59.787Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:31:12.873Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:31:14.305Z] 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. [2025-05-21T22:31:14.778Z] The best model improves the baseline by 14.52%. [2025-05-21T22:31:15.283Z] Top recommended movies for user id 72: [2025-05-21T22:31:15.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:31:15.283Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:31:15.283Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:31:15.283Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:31:15.283Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:31:15.283Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (194524.677 ms) ====== [2025-05-21T22:31:15.283Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-21T22:31:15.283Z] GC before operation: completed in 292.685 ms, heap usage 436.240 MB -> 89.437 MB. [2025-05-21T22:31:46.980Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:32:06.931Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:32:39.272Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:32:55.341Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:33:04.802Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:33:15.825Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:33:29.315Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:33:44.453Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:33:45.814Z] 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. [2025-05-21T22:33:46.234Z] The best model improves the baseline by 14.52%. [2025-05-21T22:33:46.649Z] Top recommended movies for user id 72: [2025-05-21T22:33:46.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:33:46.649Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:33:46.649Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:33:46.649Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:33:46.649Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:33:46.649Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (151193.684 ms) ====== [2025-05-21T22:33:46.649Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-21T22:33:46.649Z] GC before operation: completed in 227.345 ms, heap usage 466.062 MB -> 88.322 MB. [2025-05-21T22:34:08.947Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:34:31.498Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:34:50.741Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:35:12.346Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:35:31.440Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:35:41.145Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:36:00.148Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:36:09.557Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:36:09.991Z] 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. [2025-05-21T22:36:09.991Z] The best model improves the baseline by 14.52%. [2025-05-21T22:36:10.981Z] Top recommended movies for user id 72: [2025-05-21T22:36:10.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:36:10.981Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:36:10.981Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:36:10.981Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:36:10.981Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:36:11.540Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (144345.942 ms) ====== [2025-05-21T22:36:11.541Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-21T22:36:11.541Z] GC before operation: completed in 393.845 ms, heap usage 1.016 GB -> 93.847 MB. [2025-05-21T22:36:29.858Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:36:56.710Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:37:12.347Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:37:39.184Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:37:47.474Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:38:00.209Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:38:20.000Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:38:27.466Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:38:29.136Z] 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. [2025-05-21T22:38:29.136Z] The best model improves the baseline by 14.52%. [2025-05-21T22:38:29.680Z] Top recommended movies for user id 72: [2025-05-21T22:38:29.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:38:29.680Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:38:29.680Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:38:29.680Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:38:29.680Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:38:29.680Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (137902.781 ms) ====== [2025-05-21T22:38:29.680Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-21T22:38:31.147Z] GC before operation: completed in 1676.184 ms, heap usage 758.816 MB -> 92.834 MB. [2025-05-21T22:38:55.688Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:39:15.613Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:39:38.188Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:39:58.453Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:40:09.817Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:40:26.755Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:40:37.962Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:40:48.777Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:40:48.777Z] 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. [2025-05-21T22:40:48.777Z] The best model improves the baseline by 14.52%. [2025-05-21T22:40:49.992Z] Top recommended movies for user id 72: [2025-05-21T22:40:49.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:40:49.992Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:40:49.992Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:40:49.992Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:40:49.992Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:40:49.992Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (138858.776 ms) ====== [2025-05-21T22:40:49.992Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-21T22:40:51.003Z] GC before operation: completed in 475.925 ms, heap usage 274.836 MB -> 89.017 MB. [2025-05-21T22:41:17.687Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:41:35.892Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:41:55.198Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:42:06.062Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:42:15.214Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:42:28.644Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:42:36.268Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:42:43.940Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:42:43.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T22:42:43.940Z] The best model improves the baseline by 14.52%. [2025-05-21T22:42:44.352Z] Top recommended movies for user id 72: [2025-05-21T22:42:44.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:42:44.352Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:42:44.352Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:42:44.352Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:42:44.352Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:42:44.352Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (113866.878 ms) ====== [2025-05-21T22:42:44.352Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-21T22:42:45.959Z] GC before operation: completed in 860.995 ms, heap usage 462.490 MB -> 89.545 MB. [2025-05-21T22:43:03.993Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:43:23.578Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:43:35.979Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:43:59.122Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:44:15.974Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:44:29.339Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:44:49.973Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:44:58.907Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:45:00.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T22:45:00.328Z] The best model improves the baseline by 14.52%. [2025-05-21T22:45:00.841Z] Top recommended movies for user id 72: [2025-05-21T22:45:00.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:45:00.841Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:45:00.841Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:45:00.841Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:45:00.841Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:45:00.841Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (135531.249 ms) ====== [2025-05-21T22:45:00.841Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-21T22:45:01.309Z] GC before operation: completed in 455.230 ms, heap usage 541.362 MB -> 94.643 MB. [2025-05-21T22:45:28.167Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:45:47.820Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:46:09.361Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:46:25.441Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:46:37.406Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:46:54.113Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:47:03.662Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:47:15.794Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:47:16.799Z] 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. [2025-05-21T22:47:16.799Z] The best model improves the baseline by 14.52%. [2025-05-21T22:47:17.256Z] Top recommended movies for user id 72: [2025-05-21T22:47:17.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:47:17.256Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:47:17.256Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:47:17.256Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:47:17.256Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:47:17.256Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (136237.675 ms) ====== [2025-05-21T22:47:17.256Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-21T22:47:19.351Z] GC before operation: completed in 1579.654 ms, heap usage 714.406 MB -> 93.242 MB. [2025-05-21T22:47:45.818Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:48:08.106Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:48:25.279Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:48:34.720Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:48:48.528Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:49:00.715Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:49:09.911Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:49:19.227Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:49:20.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T22:49:20.241Z] The best model improves the baseline by 14.52%. [2025-05-21T22:49:20.694Z] Top recommended movies for user id 72: [2025-05-21T22:49:20.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:49:20.694Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:49:20.694Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:49:20.694Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:49:20.694Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:49:20.694Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (121574.505 ms) ====== [2025-05-21T22:49:20.694Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-21T22:49:21.163Z] GC before operation: completed in 430.077 ms, heap usage 1.058 GB -> 96.960 MB. [2025-05-21T22:49:59.004Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:50:08.456Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:50:24.444Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:50:42.811Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:50:51.898Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:51:10.999Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:51:21.162Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:51:32.577Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:51:34.830Z] 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. [2025-05-21T22:51:34.830Z] The best model improves the baseline by 14.52%. [2025-05-21T22:51:34.830Z] Top recommended movies for user id 72: [2025-05-21T22:51:34.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:51:34.830Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:51:34.830Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:51:34.830Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:51:34.830Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:51:34.830Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (133875.475 ms) ====== [2025-05-21T22:51:34.830Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-21T22:51:35.299Z] GC before operation: completed in 330.975 ms, heap usage 284.042 MB -> 90.791 MB. [2025-05-21T22:51:55.234Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:52:14.753Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:52:42.063Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:53:05.299Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:53:13.477Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:53:21.635Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:53:29.433Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:53:40.803Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:53:42.996Z] 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. [2025-05-21T22:53:42.996Z] The best model improves the baseline by 14.52%. [2025-05-21T22:53:43.949Z] Top recommended movies for user id 72: [2025-05-21T22:53:43.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:53:43.949Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:53:43.949Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:53:43.949Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:53:43.949Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:53:43.949Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (128438.472 ms) ====== [2025-05-21T22:53:43.949Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-21T22:53:44.608Z] GC before operation: completed in 354.941 ms, heap usage 199.097 MB -> 89.358 MB. [2025-05-21T22:54:10.924Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:54:37.545Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:54:46.051Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:55:02.197Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:55:12.185Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:55:19.749Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:55:27.287Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:55:35.131Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:55:35.131Z] 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. [2025-05-21T22:55:35.626Z] The best model improves the baseline by 14.52%. [2025-05-21T22:55:36.270Z] Top recommended movies for user id 72: [2025-05-21T22:55:36.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:55:36.270Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:55:36.270Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:55:36.270Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:55:36.270Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:55:36.270Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (111852.895 ms) ====== [2025-05-21T22:55:36.270Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-21T22:55:37.212Z] GC before operation: completed in 975.130 ms, heap usage 242.251 MB -> 89.450 MB. [2025-05-21T22:55:50.288Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:56:05.555Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:56:16.113Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:56:29.315Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:56:42.243Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:56:53.756Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:57:02.871Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:57:25.607Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:57:25.607Z] 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. [2025-05-21T22:57:25.607Z] The best model improves the baseline by 14.52%. [2025-05-21T22:57:26.214Z] Top recommended movies for user id 72: [2025-05-21T22:57:26.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:57:26.214Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:57:26.214Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:57:26.214Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:57:26.214Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:57:26.214Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (108783.837 ms) ====== [2025-05-21T22:57:26.214Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-21T22:57:26.214Z] GC before operation: completed in 320.100 ms, heap usage 203.976 MB -> 92.935 MB. [2025-05-21T22:57:45.201Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T22:58:04.881Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T22:58:28.543Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T22:58:44.990Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T22:58:56.569Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T22:59:04.140Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T22:59:21.834Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T22:59:29.825Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T22:59:30.372Z] 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. [2025-05-21T22:59:30.372Z] The best model improves the baseline by 14.52%. [2025-05-21T22:59:31.714Z] Top recommended movies for user id 72: [2025-05-21T22:59:31.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T22:59:31.714Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T22:59:31.714Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T22:59:31.714Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T22:59:31.714Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T22:59:31.714Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (125169.741 ms) ====== [2025-05-21T22:59:31.714Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-21T22:59:31.714Z] GC before operation: completed in 455.754 ms, heap usage 762.747 MB -> 93.431 MB. [2025-05-21T22:59:58.896Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:00:14.809Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:00:30.545Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:00:51.179Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:01:00.686Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:01:12.072Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:01:29.305Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:01:38.515Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:01:39.768Z] 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. [2025-05-21T23:01:39.769Z] The best model improves the baseline by 14.52%. [2025-05-21T23:01:40.320Z] Top recommended movies for user id 72: [2025-05-21T23:01:40.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:01:40.320Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:01:40.320Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:01:40.320Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:01:40.320Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:01:40.320Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (128558.325 ms) ====== [2025-05-21T23:01:40.320Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-21T23:01:42.454Z] GC before operation: completed in 1502.377 ms, heap usage 874.644 MB -> 96.449 MB. [2025-05-21T23:02:09.597Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:02:24.592Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:02:43.135Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:03:05.342Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:03:16.587Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:03:36.311Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:03:43.900Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:03:54.721Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:03:58.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T23:03:58.328Z] The best model improves the baseline by 14.52%. [2025-05-21T23:04:00.382Z] Top recommended movies for user id 72: [2025-05-21T23:04:00.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:04:00.382Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:04:00.382Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:04:00.382Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:04:00.382Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:04:00.382Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (138278.303 ms) ====== [2025-05-21T23:04:00.382Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-21T23:04:00.382Z] GC before operation: completed in 258.285 ms, heap usage 207.743 MB -> 89.422 MB. [2025-05-21T23:04:27.972Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:04:44.097Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:05:12.317Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:05:28.249Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:05:37.749Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:05:57.632Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:06:01.662Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:06:11.051Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:06:13.335Z] 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. [2025-05-21T23:06:13.335Z] The best model improves the baseline by 14.52%. [2025-05-21T23:06:13.335Z] Top recommended movies for user id 72: [2025-05-21T23:06:13.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:06:13.335Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:06:13.335Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:06:13.335Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:06:13.335Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:06:13.335Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (132987.700 ms) ====== [2025-05-21T23:06:13.335Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-21T23:06:14.525Z] GC before operation: completed in 915.314 ms, heap usage 485.193 MB -> 91.809 MB. [2025-05-21T23:06:32.793Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:06:52.893Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:07:03.904Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:07:14.806Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:07:20.563Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:07:27.823Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:07:35.197Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:07:46.664Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:07:46.664Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T23:07:46.664Z] The best model improves the baseline by 14.52%. [2025-05-21T23:07:47.959Z] Top recommended movies for user id 72: [2025-05-21T23:07:47.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:07:47.959Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:07:47.959Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:07:47.959Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:07:47.959Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:07:47.959Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (93416.125 ms) ====== [2025-05-21T23:07:47.959Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-21T23:07:48.449Z] GC before operation: completed in 808.654 ms, heap usage 251.473 MB -> 89.412 MB. [2025-05-21T23:08:03.913Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:08:19.293Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:08:32.244Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:08:48.830Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:08:56.986Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:09:03.002Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:09:14.123Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:09:23.590Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:09:26.638Z] 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. [2025-05-21T23:09:26.639Z] The best model improves the baseline by 14.52%. [2025-05-21T23:09:32.554Z] Top recommended movies for user id 72: [2025-05-21T23:09:32.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:09:32.554Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:09:32.554Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:09:32.554Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:09:32.554Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:09:32.554Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (103051.051 ms) ====== [2025-05-21T23:09:32.554Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-21T23:09:33.990Z] GC before operation: completed in 1968.283 ms, heap usage 702.574 MB -> 93.356 MB. [2025-05-21T23:09:50.361Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T23:10:03.111Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T23:10:29.412Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T23:10:42.695Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T23:10:50.031Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T23:10:56.499Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T23:11:16.059Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T23:11:19.944Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T23:11:21.762Z] 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. [2025-05-21T23:11:22.163Z] The best model improves the baseline by 14.52%. [2025-05-21T23:11:23.102Z] Top recommended movies for user id 72: [2025-05-21T23:11:23.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T23:11:23.102Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T23:11:23.102Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T23:11:23.102Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T23:11:23.102Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T23:11:23.102Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (109391.482 ms) ====== [2025-05-21T23:11:26.786Z] ----------------------------------- [2025-05-21T23:11:26.786Z] renaissance-movie-lens_0_PASSED [2025-05-21T23:11:26.786Z] ----------------------------------- [2025-05-21T23:11:26.786Z] [2025-05-21T23:11:26.786Z] TEST TEARDOWN: [2025-05-21T23:11:26.786Z] Nothing to be done for teardown. [2025-05-21T23:11:26.786Z] renaissance-movie-lens_0 Finish Time: Wed May 21 16:11:26 2025 Epoch Time (ms): 1747869086311