[2025-06-18T20:07:12.236Z] Running test renaissance-movie-lens_0 ... [2025-06-18T20:07:12.236Z] =============================================== [2025-06-18T20:07:12.236Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 16:07:12 2025 Epoch Time (ms): 1750277232071 [2025-06-18T20:07:12.236Z] variation: NoOptions [2025-06-18T20:07:12.236Z] JVM_OPTIONS: [2025-06-18T20:07:12.236Z] { \ [2025-06-18T20:07:12.236Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T20:07:12.236Z] echo "Nothing to be done for setup."; \ [2025-06-18T20:07:12.236Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502765649868/renaissance-movie-lens_0"; \ [2025-06-18T20:07:12.236Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502765649868/renaissance-movie-lens_0"; \ [2025-06-18T20:07:12.236Z] echo ""; echo "TESTING:"; \ [2025-06-18T20:07:12.236Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502765649868/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T20:07:12.236Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502765649868/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T20:07:12.236Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T20:07:12.236Z] echo "Nothing to be done for teardown."; \ [2025-06-18T20:07:12.236Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17502765649868/TestTargetResult"; [2025-06-18T20:07:12.236Z] [2025-06-18T20:07:12.236Z] TEST SETUP: [2025-06-18T20:07:12.236Z] Nothing to be done for setup. [2025-06-18T20:07:12.236Z] [2025-06-18T20:07:12.236Z] TESTING: [2025-06-18T20:07:15.362Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-18T20:07:18.570Z] 16:07:18.262 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T20:07:19.873Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T20:07:19.873Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T20:07:19.873Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T20:07:20.294Z] GC before operation: completed in 86.786 ms, heap usage 188.702 MB -> 75.918 MB. [2025-06-18T20:07:23.435Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:07:25.252Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:07:27.049Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:07:28.875Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:07:30.157Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:07:30.938Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:07:32.229Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:07:33.030Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:07:33.030Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:07:33.030Z] The best model improves the baseline by 14.52%. [2025-06-18T20:07:33.030Z] Top recommended movies for user id 72: [2025-06-18T20:07:33.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:07:33.030Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:07:33.030Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:07:33.030Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:07:33.030Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:07:33.030Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13067.339 ms) ====== [2025-06-18T20:07:33.030Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T20:07:33.399Z] GC before operation: completed in 79.026 ms, heap usage 320.485 MB -> 86.560 MB. [2025-06-18T20:07:34.655Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:07:35.889Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:07:37.678Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:07:39.476Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:07:40.289Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:07:41.092Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:07:41.907Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:07:42.697Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:07:43.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:07:43.052Z] The best model improves the baseline by 14.52%. [2025-06-18T20:07:43.052Z] Top recommended movies for user id 72: [2025-06-18T20:07:43.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:07:43.052Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:07:43.052Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:07:43.052Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:07:43.052Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:07:43.052Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9854.750 ms) ====== [2025-06-18T20:07:43.052Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T20:07:43.052Z] GC before operation: completed in 83.750 ms, heap usage 149.565 MB -> 88.397 MB. [2025-06-18T20:07:44.878Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:07:46.147Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:07:47.917Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:07:49.697Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:07:50.538Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:07:51.317Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:07:52.085Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:07:53.319Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:07:53.319Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:07:53.319Z] The best model improves the baseline by 14.52%. [2025-06-18T20:07:53.319Z] Top recommended movies for user id 72: [2025-06-18T20:07:53.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:07:53.319Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:07:53.319Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:07:53.319Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:07:53.319Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:07:53.319Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10293.566 ms) ====== [2025-06-18T20:07:53.319Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T20:07:53.677Z] GC before operation: completed in 65.810 ms, heap usage 479.726 MB -> 89.467 MB. [2025-06-18T20:07:54.945Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:07:56.731Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:07:57.980Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:07:59.766Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:00.129Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:00.921Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:02.250Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:03.045Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:03.045Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:03.045Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:03.045Z] Top recommended movies for user id 72: [2025-06-18T20:08:03.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:03.045Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:03.045Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:03.045Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:03.045Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:03.045Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9609.600 ms) ====== [2025-06-18T20:08:03.045Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T20:08:03.419Z] GC before operation: completed in 66.874 ms, heap usage 136.951 MB -> 89.248 MB. [2025-06-18T20:08:06.817Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:06.817Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:07.579Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:08.807Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:09.583Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:10.361Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:11.120Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:11.883Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:11.883Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:11.883Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:12.234Z] Top recommended movies for user id 72: [2025-06-18T20:08:12.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:12.234Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:12.234Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:12.234Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:12.234Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:12.234Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8891.590 ms) ====== [2025-06-18T20:08:12.234Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T20:08:12.234Z] GC before operation: completed in 54.380 ms, heap usage 344.123 MB -> 89.560 MB. [2025-06-18T20:08:13.465Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:14.749Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:15.979Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:17.213Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:17.977Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:18.743Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:19.117Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:19.895Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:20.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:20.248Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:20.248Z] Top recommended movies for user id 72: [2025-06-18T20:08:20.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:20.248Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:20.248Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:20.248Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:20.248Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:20.248Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8008.904 ms) ====== [2025-06-18T20:08:20.248Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T20:08:20.248Z] GC before operation: completed in 50.755 ms, heap usage 391.267 MB -> 89.929 MB. [2025-06-18T20:08:21.608Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:22.371Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:23.608Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:24.837Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:25.613Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:26.372Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:27.140Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:27.913Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:27.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:27.913Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:27.913Z] Top recommended movies for user id 72: [2025-06-18T20:08:27.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:27.913Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:27.913Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:27.913Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:27.913Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:27.913Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7683.395 ms) ====== [2025-06-18T20:08:27.913Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T20:08:27.913Z] GC before operation: completed in 76.959 ms, heap usage 216.278 MB -> 89.524 MB. [2025-06-18T20:08:29.162Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:29.928Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:31.174Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:32.422Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:33.180Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:33.939Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:34.707Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:35.472Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:35.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:35.472Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:35.472Z] Top recommended movies for user id 72: [2025-06-18T20:08:35.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:35.472Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:35.472Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:35.472Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:35.472Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:35.472Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7461.411 ms) ====== [2025-06-18T20:08:35.472Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T20:08:35.472Z] GC before operation: completed in 51.993 ms, heap usage 203.842 MB -> 89.927 MB. [2025-06-18T20:08:36.712Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:37.940Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:39.178Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:40.428Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:41.201Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:41.958Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:42.719Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:43.503Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:43.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:43.503Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:43.503Z] Top recommended movies for user id 72: [2025-06-18T20:08:43.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:43.503Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:43.503Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:43.503Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:43.503Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:43.503Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8164.152 ms) ====== [2025-06-18T20:08:43.503Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T20:08:43.863Z] GC before operation: completed in 54.624 ms, heap usage 177.741 MB -> 89.826 MB. [2025-06-18T20:08:45.114Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:46.921Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:47.908Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:49.138Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:49.900Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:50.673Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:51.436Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:52.201Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:52.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:08:52.201Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:52.567Z] Top recommended movies for user id 72: [2025-06-18T20:08:52.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:52.567Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:52.567Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:52.567Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:52.567Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:52.567Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8718.198 ms) ====== [2025-06-18T20:08:52.567Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T20:08:52.567Z] GC before operation: completed in 63.803 ms, heap usage 120.546 MB -> 92.556 MB. [2025-06-18T20:08:53.802Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:08:55.031Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:08:55.796Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:08:57.042Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:08:57.405Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:08:58.180Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:08:58.953Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:08:59.720Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:08:59.720Z] 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. [2025-06-18T20:08:59.720Z] The best model improves the baseline by 14.52%. [2025-06-18T20:08:59.720Z] Top recommended movies for user id 72: [2025-06-18T20:08:59.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:08:59.720Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:08:59.720Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:08:59.720Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:08:59.720Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:08:59.720Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7214.999 ms) ====== [2025-06-18T20:08:59.720Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T20:08:59.720Z] GC before operation: completed in 56.633 ms, heap usage 158.487 MB -> 89.610 MB. [2025-06-18T20:09:00.997Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:01.761Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:03.038Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:04.302Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:04.663Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:05.445Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:06.239Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:07.022Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:07.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:07.022Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:07.022Z] Top recommended movies for user id 72: [2025-06-18T20:09:07.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:07.022Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:07.022Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:07.022Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:07.022Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:07.022Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7287.334 ms) ====== [2025-06-18T20:09:07.022Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T20:09:07.022Z] GC before operation: completed in 56.043 ms, heap usage 181.696 MB -> 89.847 MB. [2025-06-18T20:09:08.259Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:09.498Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:10.740Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:11.509Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:12.289Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:12.650Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:13.410Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:14.173Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:14.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:14.173Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:14.173Z] Top recommended movies for user id 72: [2025-06-18T20:09:14.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:14.173Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:14.173Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:14.173Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:14.173Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:14.173Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7015.131 ms) ====== [2025-06-18T20:09:14.173Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T20:09:14.173Z] GC before operation: completed in 50.027 ms, heap usage 272.320 MB -> 90.143 MB. [2025-06-18T20:09:15.410Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:16.647Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:18.427Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:19.682Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:20.463Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:21.232Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:21.999Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:22.365Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:22.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:22.729Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:22.729Z] Top recommended movies for user id 72: [2025-06-18T20:09:22.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:22.729Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:22.729Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:22.729Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:22.729Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:22.729Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8507.753 ms) ====== [2025-06-18T20:09:22.729Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T20:09:22.729Z] GC before operation: completed in 47.932 ms, heap usage 405.229 MB -> 94.266 MB. [2025-06-18T20:09:24.079Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:25.325Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:26.109Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:27.354Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:28.628Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:29.386Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:30.146Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:31.393Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:31.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:31.393Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:31.393Z] Top recommended movies for user id 72: [2025-06-18T20:09:31.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:31.393Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:31.393Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:31.393Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:31.394Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:31.394Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8555.832 ms) ====== [2025-06-18T20:09:31.394Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T20:09:31.394Z] GC before operation: completed in 46.101 ms, heap usage 239.331 MB -> 90.069 MB. [2025-06-18T20:09:32.641Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:33.479Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:34.718Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:35.982Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:36.340Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:37.116Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:37.899Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:38.259Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:38.259Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:38.259Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:38.621Z] Top recommended movies for user id 72: [2025-06-18T20:09:38.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:38.621Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:38.621Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:38.621Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:38.621Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:38.621Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7100.667 ms) ====== [2025-06-18T20:09:38.621Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T20:09:38.621Z] GC before operation: completed in 47.602 ms, heap usage 494.743 MB -> 93.577 MB. [2025-06-18T20:09:39.841Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:41.138Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:42.365Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:43.138Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:43.912Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:44.682Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:45.915Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:46.277Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:46.632Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:46.632Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:46.632Z] Top recommended movies for user id 72: [2025-06-18T20:09:46.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:46.632Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:46.632Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:46.632Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:46.632Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:46.632Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8069.046 ms) ====== [2025-06-18T20:09:46.632Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T20:09:46.632Z] GC before operation: completed in 47.468 ms, heap usage 190.062 MB -> 90.019 MB. [2025-06-18T20:09:47.866Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:49.109Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:50.353Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:51.602Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:51.959Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:09:52.723Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:09:53.485Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:09:54.251Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:09:54.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:09:54.251Z] The best model improves the baseline by 14.52%. [2025-06-18T20:09:54.251Z] Top recommended movies for user id 72: [2025-06-18T20:09:54.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:09:54.251Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:09:54.251Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:09:54.251Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:09:54.251Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:09:54.251Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7744.854 ms) ====== [2025-06-18T20:09:54.251Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T20:09:54.251Z] GC before operation: completed in 46.762 ms, heap usage 219.575 MB -> 89.856 MB. [2025-06-18T20:09:55.478Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:09:56.718Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:09:57.937Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:09:59.223Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:09:59.579Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:10:00.350Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:10:01.141Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:10:01.936Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:10:01.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:10:01.936Z] The best model improves the baseline by 14.52%. [2025-06-18T20:10:01.936Z] Top recommended movies for user id 72: [2025-06-18T20:10:01.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:10:01.936Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:10:01.936Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:10:01.936Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:10:01.936Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:10:01.936Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7586.354 ms) ====== [2025-06-18T20:10:01.936Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T20:10:01.936Z] GC before operation: completed in 48.958 ms, heap usage 182.494 MB -> 89.857 MB. [2025-06-18T20:10:03.194Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:10:04.464Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:10:05.794Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:10:07.021Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:10:07.387Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:10:08.634Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:10:09.418Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:10:10.188Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:10:10.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-06-18T20:10:10.188Z] The best model improves the baseline by 14.52%. [2025-06-18T20:10:10.556Z] Top recommended movies for user id 72: [2025-06-18T20:10:10.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-18T20:10:10.556Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-18T20:10:10.556Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-18T20:10:10.556Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-18T20:10:10.556Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-18T20:10:10.556Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8377.374 ms) ====== [2025-06-18T20:10:10.556Z] ----------------------------------- [2025-06-18T20:10:10.556Z] renaissance-movie-lens_0_PASSED [2025-06-18T20:10:10.556Z] ----------------------------------- [2025-06-18T20:10:10.556Z] [2025-06-18T20:10:10.556Z] TEST TEARDOWN: [2025-06-18T20:10:10.556Z] Nothing to be done for teardown. [2025-06-18T20:10:10.934Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 16:10:10 2025 Epoch Time (ms): 1750277410537