[2025-05-29T21:33:11.120Z] Running test renaissance-movie-lens_0 ... [2025-05-29T21:33:11.120Z] =============================================== [2025-05-29T21:33:11.120Z] renaissance-movie-lens_0 Start Time: Thu May 29 17:33:10 2025 Epoch Time (ms): 1748554390615 [2025-05-29T21:33:11.120Z] variation: NoOptions [2025-05-29T21:33:11.120Z] JVM_OPTIONS: [2025-05-29T21:33:11.120Z] { \ [2025-05-29T21:33:11.120Z] echo ""; echo "TEST SETUP:"; \ [2025-05-29T21:33:11.120Z] echo "Nothing to be done for setup."; \ [2025-05-29T21:33:11.120Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17485538472630/renaissance-movie-lens_0"; \ [2025-05-29T21:33:11.120Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17485538472630/renaissance-movie-lens_0"; \ [2025-05-29T21:33:11.120Z] echo ""; echo "TESTING:"; \ [2025-05-29T21:33:11.120Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17485538472630/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-29T21:33:11.120Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17485538472630/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-29T21:33:11.120Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-29T21:33:11.120Z] echo "Nothing to be done for teardown."; \ [2025-05-29T21:33:11.120Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17485538472630/TestTargetResult"; [2025-05-29T21:33:11.120Z] [2025-05-29T21:33:11.120Z] TEST SETUP: [2025-05-29T21:33:11.120Z] Nothing to be done for setup. [2025-05-29T21:33:11.120Z] [2025-05-29T21:33:11.120Z] TESTING: [2025-05-29T21:33:11.120Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-05-29T21:33:11.120Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17485538472630/renaissance-movie-lens_0/launcher-173310-4241661638590520052/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-05-29T21:33:11.120Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-05-29T21:33:11.120Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-05-29T21:33:14.242Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-29T21:33:17.391Z] 17:33:17.179 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-29T21:33:18.701Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-29T21:33:19.071Z] Training: 60056, validation: 20285, test: 19854 [2025-05-29T21:33:19.071Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-29T21:33:19.071Z] GC before operation: completed in 82.410 ms, heap usage 272.455 MB -> 75.656 MB. [2025-05-29T21:33:22.333Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:33:24.775Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:33:26.558Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:33:28.385Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:33:29.179Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:33:30.442Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:33:31.714Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:33:32.500Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:33:32.500Z] 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. [2025-05-29T21:33:32.500Z] The best model improves the baseline by 14.52%. [2025-05-29T21:33:32.865Z] Top recommended movies for user id 72: [2025-05-29T21:33:32.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:33:32.865Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:33:32.865Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:33:32.865Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:33:32.865Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:33:32.865Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13737.880 ms) ====== [2025-05-29T21:33:32.865Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-29T21:33:32.865Z] GC before operation: completed in 87.999 ms, heap usage 160.285 MB -> 96.522 MB. [2025-05-29T21:33:34.659Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:33:36.419Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:33:38.197Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:33:39.521Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:33:40.756Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:33:42.031Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:33:42.808Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:33:44.082Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:33:44.082Z] 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. [2025-05-29T21:33:44.082Z] The best model improves the baseline by 14.52%. [2025-05-29T21:33:44.082Z] Top recommended movies for user id 72: [2025-05-29T21:33:44.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:33:44.082Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:33:44.082Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:33:44.082Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:33:44.082Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:33:44.082Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11187.034 ms) ====== [2025-05-29T21:33:44.082Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-29T21:33:44.082Z] GC before operation: completed in 59.602 ms, heap usage 419.241 MB -> 88.499 MB. [2025-05-29T21:33:45.857Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:33:47.637Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:33:49.426Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:33:50.693Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:33:51.918Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:33:52.719Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:33:53.959Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:33:55.212Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:33:55.212Z] 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. [2025-05-29T21:33:55.212Z] The best model improves the baseline by 14.52%. [2025-05-29T21:33:55.212Z] Top recommended movies for user id 72: [2025-05-29T21:33:55.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:33:55.212Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:33:55.212Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:33:55.212Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:33:55.212Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:33:55.212Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11211.769 ms) ====== [2025-05-29T21:33:55.212Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-29T21:33:55.566Z] GC before operation: completed in 79.167 ms, heap usage 95.513 MB -> 89.190 MB. [2025-05-29T21:33:56.826Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:33:58.613Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:00.467Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:01.715Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:02.967Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:03.747Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:05.003Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:05.784Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:05.784Z] 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. [2025-05-29T21:34:05.784Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:06.139Z] Top recommended movies for user id 72: [2025-05-29T21:34:06.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:06.139Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:06.139Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:06.139Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:06.139Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:06.139Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10631.138 ms) ====== [2025-05-29T21:34:06.139Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-29T21:34:06.139Z] GC before operation: completed in 64.324 ms, heap usage 118.612 MB -> 89.116 MB. [2025-05-29T21:34:07.402Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:34:09.214Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:10.451Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:12.238Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:13.021Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:13.795Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:15.047Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:15.822Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:15.822Z] 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. [2025-05-29T21:34:15.822Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:16.192Z] Top recommended movies for user id 72: [2025-05-29T21:34:16.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:16.192Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:16.192Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:16.192Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:16.192Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:16.192Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9948.843 ms) ====== [2025-05-29T21:34:16.192Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-29T21:34:16.192Z] GC before operation: completed in 64.947 ms, heap usage 492.906 MB -> 92.726 MB. [2025-05-29T21:34:18.023Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:34:19.255Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:20.510Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:22.335Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:23.103Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:23.866Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:24.627Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:25.922Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:25.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-29T21:34:25.922Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:25.922Z] Top recommended movies for user id 72: [2025-05-29T21:34:25.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:25.922Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:25.922Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:25.922Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:25.922Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:25.922Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9777.678 ms) ====== [2025-05-29T21:34:25.922Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-29T21:34:25.922Z] GC before operation: completed in 69.444 ms, heap usage 127.242 MB -> 89.348 MB. [2025-05-29T21:34:27.704Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:34:29.468Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:30.722Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:32.526Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:33.289Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:34.525Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:35.286Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:36.593Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:36.593Z] 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. [2025-05-29T21:34:36.593Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:36.593Z] Top recommended movies for user id 72: [2025-05-29T21:34:36.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:36.593Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:36.593Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:36.593Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:36.593Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:36.593Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10567.030 ms) ====== [2025-05-29T21:34:36.593Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-29T21:34:36.593Z] GC before operation: completed in 67.320 ms, heap usage 219.040 MB -> 89.400 MB. [2025-05-29T21:34:38.371Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:34:39.626Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:41.444Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:42.731Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:43.522Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:44.809Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:45.579Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:46.873Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:46.873Z] 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. [2025-05-29T21:34:46.873Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:46.873Z] Top recommended movies for user id 72: [2025-05-29T21:34:46.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:46.873Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:46.873Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:46.873Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:46.873Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:46.873Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10308.500 ms) ====== [2025-05-29T21:34:46.873Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-29T21:34:46.873Z] GC before operation: completed in 67.720 ms, heap usage 392.177 MB -> 89.894 MB. [2025-05-29T21:34:48.649Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:34:49.900Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:34:51.682Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:34:52.908Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:34:54.141Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:34:54.917Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:34:55.684Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:34:56.925Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:34:56.925Z] 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. [2025-05-29T21:34:56.925Z] The best model improves the baseline by 14.52%. [2025-05-29T21:34:56.925Z] Top recommended movies for user id 72: [2025-05-29T21:34:56.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:34:56.925Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:34:56.925Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:34:56.925Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:34:56.925Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:34:56.925Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9963.836 ms) ====== [2025-05-29T21:34:56.925Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-29T21:34:56.925Z] GC before operation: completed in 59.036 ms, heap usage 192.074 MB -> 89.482 MB. [2025-05-29T21:34:58.725Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:00.531Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:02.352Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:03.619Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:04.407Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:05.705Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:06.498Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:07.269Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:07.269Z] 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. [2025-05-29T21:35:07.269Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:07.269Z] Top recommended movies for user id 72: [2025-05-29T21:35:07.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:07.269Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:07.269Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:07.269Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:07.269Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:07.269Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10372.394 ms) ====== [2025-05-29T21:35:07.269Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-29T21:35:07.624Z] GC before operation: completed in 78.670 ms, heap usage 449.556 MB -> 90.026 MB. [2025-05-29T21:35:08.855Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:10.623Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:11.866Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:13.722Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:14.511Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:15.288Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:16.509Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:17.305Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:17.305Z] 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. [2025-05-29T21:35:17.306Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:17.306Z] Top recommended movies for user id 72: [2025-05-29T21:35:17.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:17.306Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:17.306Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:17.306Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:17.306Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:17.306Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9967.511 ms) ====== [2025-05-29T21:35:17.306Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-29T21:35:17.663Z] GC before operation: completed in 68.693 ms, heap usage 331.098 MB -> 89.574 MB. [2025-05-29T21:35:18.914Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:20.156Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:21.932Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:23.174Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:23.943Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:24.723Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:25.499Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:26.745Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:26.745Z] 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. [2025-05-29T21:35:26.745Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:26.745Z] Top recommended movies for user id 72: [2025-05-29T21:35:26.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:26.745Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:26.745Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:26.745Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:26.745Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:26.745Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9181.926 ms) ====== [2025-05-29T21:35:26.745Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-29T21:35:26.745Z] GC before operation: completed in 67.428 ms, heap usage 221.191 MB -> 89.765 MB. [2025-05-29T21:35:28.539Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:29.796Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:31.590Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:32.818Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:33.595Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:34.382Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:35.646Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:36.530Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:36.530Z] 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. [2025-05-29T21:35:36.530Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:36.530Z] Top recommended movies for user id 72: [2025-05-29T21:35:36.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:36.530Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:36.530Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:36.530Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:36.530Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:36.530Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9658.851 ms) ====== [2025-05-29T21:35:36.530Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-29T21:35:36.530Z] GC before operation: completed in 57.864 ms, heap usage 181.224 MB -> 89.829 MB. [2025-05-29T21:35:38.324Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:39.554Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:41.371Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:42.618Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:43.384Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:44.638Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:45.415Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:46.667Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:46.667Z] 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. [2025-05-29T21:35:46.667Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:46.667Z] Top recommended movies for user id 72: [2025-05-29T21:35:46.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:46.667Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:46.667Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:46.667Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:46.667Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:46.667Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10163.306 ms) ====== [2025-05-29T21:35:46.667Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-29T21:35:46.667Z] GC before operation: completed in 77.598 ms, heap usage 317.225 MB -> 89.783 MB. [2025-05-29T21:35:48.445Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:49.698Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:35:51.555Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:35:53.357Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:35:53.742Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:35:54.977Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:35:55.752Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:35:56.547Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:35:56.547Z] 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. [2025-05-29T21:35:56.907Z] The best model improves the baseline by 14.52%. [2025-05-29T21:35:56.907Z] Top recommended movies for user id 72: [2025-05-29T21:35:56.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:35:56.907Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:35:56.907Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:35:56.907Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:35:56.907Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:35:56.907Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10093.626 ms) ====== [2025-05-29T21:35:56.907Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-29T21:35:56.907Z] GC before operation: completed in 74.115 ms, heap usage 149.460 MB -> 89.807 MB. [2025-05-29T21:35:58.670Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:35:59.905Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:36:01.753Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:36:03.005Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:36:03.808Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:36:04.605Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:36:05.861Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:36:06.219Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:36:06.579Z] 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. [2025-05-29T21:36:06.579Z] The best model improves the baseline by 14.52%. [2025-05-29T21:36:06.579Z] Top recommended movies for user id 72: [2025-05-29T21:36:06.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:36:06.579Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:36:06.579Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:36:06.579Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:36:06.579Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:36:06.579Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9710.589 ms) ====== [2025-05-29T21:36:06.579Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-29T21:36:06.579Z] GC before operation: completed in 71.694 ms, heap usage 282.201 MB -> 89.942 MB. [2025-05-29T21:36:08.381Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:36:09.619Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:36:11.439Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:36:12.704Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:36:13.471Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:36:14.234Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:36:14.993Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:36:15.788Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:36:16.158Z] 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. [2025-05-29T21:36:16.158Z] The best model improves the baseline by 14.52%. [2025-05-29T21:36:16.158Z] Top recommended movies for user id 72: [2025-05-29T21:36:16.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:36:16.158Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:36:16.158Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:36:16.158Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:36:16.158Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:36:16.158Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9488.493 ms) ====== [2025-05-29T21:36:16.158Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-29T21:36:16.158Z] GC before operation: completed in 64.985 ms, heap usage 253.672 MB -> 89.916 MB. [2025-05-29T21:36:17.940Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:36:19.192Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:36:20.996Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:36:22.226Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:36:23.012Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:36:23.789Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:36:24.555Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:36:25.364Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:36:25.720Z] 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. [2025-05-29T21:36:25.720Z] The best model improves the baseline by 14.52%. [2025-05-29T21:36:25.720Z] Top recommended movies for user id 72: [2025-05-29T21:36:25.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:36:25.720Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:36:25.720Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:36:25.720Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:36:25.720Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:36:25.720Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9403.745 ms) ====== [2025-05-29T21:36:25.720Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-29T21:36:25.721Z] GC before operation: completed in 72.238 ms, heap usage 390.792 MB -> 89.947 MB. [2025-05-29T21:36:27.016Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:36:28.264Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:36:29.541Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:36:30.796Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:36:31.571Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:36:32.343Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:36:33.114Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:36:33.878Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:36:33.878Z] 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. [2025-05-29T21:36:33.878Z] The best model improves the baseline by 14.52%. [2025-05-29T21:36:34.242Z] Top recommended movies for user id 72: [2025-05-29T21:36:34.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:36:34.242Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:36:34.242Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:36:34.242Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:36:34.242Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:36:34.242Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8425.264 ms) ====== [2025-05-29T21:36:34.242Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-29T21:36:34.242Z] GC before operation: completed in 68.254 ms, heap usage 179.096 MB -> 89.718 MB. [2025-05-29T21:36:35.477Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T21:36:36.716Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T21:36:38.510Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T21:36:39.332Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T21:36:40.118Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T21:36:40.902Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T21:36:42.164Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T21:36:42.970Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T21:36:42.970Z] 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. [2025-05-29T21:36:42.970Z] The best model improves the baseline by 14.52%. [2025-05-29T21:36:42.970Z] Top recommended movies for user id 72: [2025-05-29T21:36:42.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-29T21:36:42.970Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-29T21:36:42.970Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-29T21:36:42.970Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-29T21:36:42.970Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-29T21:36:42.970Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8792.869 ms) ====== [2025-05-29T21:36:43.324Z] ----------------------------------- [2025-05-29T21:36:43.324Z] renaissance-movie-lens_0_PASSED [2025-05-29T21:36:43.324Z] ----------------------------------- [2025-05-29T21:36:43.324Z] [2025-05-29T21:36:43.324Z] TEST TEARDOWN: [2025-05-29T21:36:43.324Z] Nothing to be done for teardown. [2025-05-29T21:36:43.324Z] renaissance-movie-lens_0 Finish Time: Thu May 29 17:36:43 2025 Epoch Time (ms): 1748554603015