[2025-08-25T21:14:52.981Z] Running test renaissance-movie-lens_0 ... [2025-08-25T21:14:52.981Z] =============================================== [2025-08-25T21:14:52.981Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 17:14:52 2025 Epoch Time (ms): 1756156492823 [2025-08-25T21:14:52.981Z] variation: NoOptions [2025-08-25T21:14:52.981Z] JVM_OPTIONS: [2025-08-25T21:14:52.981Z] { \ [2025-08-25T21:14:52.981Z] echo ""; echo "TEST SETUP:"; \ [2025-08-25T21:14:52.981Z] echo "Nothing to be done for setup."; \ [2025-08-25T21:14:52.981Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17561555447215/renaissance-movie-lens_0"; \ [2025-08-25T21:14:52.981Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17561555447215/renaissance-movie-lens_0"; \ [2025-08-25T21:14:52.981Z] echo ""; echo "TESTING:"; \ [2025-08-25T21:14:52.981Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17561555447215/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-25T21:14:52.981Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17561555447215/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-25T21:14:52.981Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-25T21:14:52.981Z] echo "Nothing to be done for teardown."; \ [2025-08-25T21:14:52.981Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17561555447215/TestTargetResult"; [2025-08-25T21:14:52.981Z] [2025-08-25T21:14:52.981Z] TEST SETUP: [2025-08-25T21:14:52.981Z] Nothing to be done for setup. [2025-08-25T21:14:52.981Z] [2025-08-25T21:14:52.981Z] TESTING: [2025-08-25T21:14:56.945Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-25T21:15:00.961Z] 17:15:00.217 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. [2025-08-25T21:15:01.749Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-25T21:15:01.749Z] Training: 60056, validation: 20285, test: 19854 [2025-08-25T21:15:01.749Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-25T21:15:01.749Z] GC before operation: completed in 70.611 ms, heap usage 126.418 MB -> 74.535 MB. [2025-08-25T21:15:05.878Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:15:08.263Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:15:10.635Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:15:13.021Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:15:14.787Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:15:16.092Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:15:17.309Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:15:18.554Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:15:18.916Z] 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. [2025-08-25T21:15:18.916Z] The best model improves the baseline by 14.52%. [2025-08-25T21:15:18.916Z] Top recommended movies for user id 72: [2025-08-25T21:15:18.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:15:18.916Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:15:18.916Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:15:18.916Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:15:18.916Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:15:18.916Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (17147.321 ms) ====== [2025-08-25T21:15:18.916Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-25T21:15:19.264Z] GC before operation: completed in 95.731 ms, heap usage 369.942 MB -> 85.452 MB. [2025-08-25T21:15:21.056Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:15:23.464Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:15:25.231Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:15:27.618Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:15:28.841Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:15:30.098Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:15:31.312Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:15:33.074Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:15:33.074Z] 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. [2025-08-25T21:15:33.074Z] The best model improves the baseline by 14.52%. [2025-08-25T21:15:33.074Z] Top recommended movies for user id 72: [2025-08-25T21:15:33.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:15:33.074Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:15:33.074Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:15:33.074Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:15:33.074Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:15:33.074Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14015.426 ms) ====== [2025-08-25T21:15:33.074Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-25T21:15:33.074Z] GC before operation: completed in 93.087 ms, heap usage 239.408 MB -> 87.168 MB. [2025-08-25T21:15:35.473Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:15:37.220Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:15:39.618Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:15:41.564Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:15:42.838Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:15:43.667Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:15:44.890Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:15:46.131Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:15:46.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-25T21:15:46.131Z] The best model improves the baseline by 14.52%. [2025-08-25T21:15:46.498Z] Top recommended movies for user id 72: [2025-08-25T21:15:46.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:15:46.498Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:15:46.498Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:15:46.498Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:15:46.498Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:15:46.498Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13143.947 ms) ====== [2025-08-25T21:15:46.498Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-25T21:15:46.498Z] GC before operation: completed in 79.633 ms, heap usage 153.370 MB -> 87.736 MB. [2025-08-25T21:15:48.258Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:15:50.688Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:15:52.520Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:15:54.288Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:15:55.546Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:15:56.815Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:15:57.577Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:15:58.858Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:15:58.858Z] 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. [2025-08-25T21:15:59.227Z] The best model improves the baseline by 14.52%. [2025-08-25T21:15:59.227Z] Top recommended movies for user id 72: [2025-08-25T21:15:59.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:15:59.227Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:15:59.227Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:15:59.227Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:15:59.227Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:15:59.227Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12742.144 ms) ====== [2025-08-25T21:15:59.227Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-25T21:15:59.227Z] GC before operation: completed in 115.536 ms, heap usage 347.532 MB -> 88.350 MB. [2025-08-25T21:16:01.010Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:16:02.820Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:16:05.245Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:16:06.484Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:16:07.715Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:16:08.964Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:16:10.232Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:16:11.472Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:16:11.847Z] 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. [2025-08-25T21:16:11.847Z] The best model improves the baseline by 14.52%. [2025-08-25T21:16:11.847Z] Top recommended movies for user id 72: [2025-08-25T21:16:11.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:16:11.847Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:16:11.847Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:16:11.847Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:16:11.847Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:16:11.847Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12539.910 ms) ====== [2025-08-25T21:16:11.847Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-25T21:16:11.847Z] GC before operation: completed in 87.887 ms, heap usage 121.813 MB -> 87.820 MB. [2025-08-25T21:16:14.298Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:16:15.566Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:16:17.357Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:16:19.117Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:16:19.877Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:16:20.625Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:16:21.854Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:16:22.619Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:16:22.968Z] 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. [2025-08-25T21:16:22.968Z] The best model improves the baseline by 14.52%. [2025-08-25T21:16:22.968Z] Top recommended movies for user id 72: [2025-08-25T21:16:22.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:16:22.968Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:16:22.968Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:16:22.968Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:16:22.968Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:16:22.968Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11043.361 ms) ====== [2025-08-25T21:16:22.968Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-25T21:16:22.968Z] GC before operation: completed in 74.254 ms, heap usage 221.339 MB -> 88.270 MB. [2025-08-25T21:16:25.371Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:16:27.153Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:16:28.441Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:16:30.211Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:16:31.471Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:16:32.221Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:16:33.446Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:16:34.225Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:16:34.578Z] 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. [2025-08-25T21:16:34.578Z] The best model improves the baseline by 14.52%. [2025-08-25T21:16:34.578Z] Top recommended movies for user id 72: [2025-08-25T21:16:34.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:16:34.578Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:16:34.578Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:16:34.578Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:16:34.578Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:16:34.578Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11483.265 ms) ====== [2025-08-25T21:16:34.578Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-25T21:16:34.578Z] GC before operation: completed in 83.209 ms, heap usage 398.536 MB -> 88.480 MB. [2025-08-25T21:16:36.460Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:16:38.247Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:16:40.021Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:16:41.800Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:16:43.032Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:16:43.803Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:16:45.028Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:16:45.784Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:16:45.784Z] 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. [2025-08-25T21:16:45.784Z] The best model improves the baseline by 14.52%. [2025-08-25T21:16:45.784Z] Top recommended movies for user id 72: [2025-08-25T21:16:45.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:16:45.784Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:16:45.784Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:16:45.784Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:16:45.784Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:16:45.784Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11267.348 ms) ====== [2025-08-25T21:16:45.784Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-25T21:16:46.138Z] GC before operation: completed in 104.985 ms, heap usage 266.256 MB -> 88.570 MB. [2025-08-25T21:16:47.881Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:16:49.675Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:16:51.452Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:16:53.217Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:16:54.520Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:16:55.806Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:16:57.058Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:16:57.852Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:16:58.235Z] 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. [2025-08-25T21:16:58.235Z] The best model improves the baseline by 14.52%. [2025-08-25T21:16:58.235Z] Top recommended movies for user id 72: [2025-08-25T21:16:58.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:16:58.235Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:16:58.235Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:16:58.235Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:16:58.235Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:16:58.235Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12241.105 ms) ====== [2025-08-25T21:16:58.235Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-25T21:16:58.235Z] GC before operation: completed in 83.729 ms, heap usage 334.146 MB -> 88.498 MB. [2025-08-25T21:17:00.008Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:17:01.872Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:17:03.741Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:17:05.503Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:17:06.294Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:17:07.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:17:08.783Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:17:09.559Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:17:09.559Z] 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. [2025-08-25T21:17:09.559Z] The best model improves the baseline by 14.52%. [2025-08-25T21:17:09.909Z] Top recommended movies for user id 72: [2025-08-25T21:17:09.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:17:09.909Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:17:09.909Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:17:09.909Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:17:09.909Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:17:09.909Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11496.604 ms) ====== [2025-08-25T21:17:09.909Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-25T21:17:09.909Z] GC before operation: completed in 81.462 ms, heap usage 201.834 MB -> 88.560 MB. [2025-08-25T21:17:11.707Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:17:13.470Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:17:15.268Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:17:17.034Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:17:18.287Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:17:19.511Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:17:20.323Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:17:21.588Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:17:21.939Z] 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. [2025-08-25T21:17:21.939Z] The best model improves the baseline by 14.52%. [2025-08-25T21:17:21.939Z] Top recommended movies for user id 72: [2025-08-25T21:17:21.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:17:21.939Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:17:21.939Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:17:21.939Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:17:21.939Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:17:21.939Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12001.607 ms) ====== [2025-08-25T21:17:21.939Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-25T21:17:21.939Z] GC before operation: completed in 84.878 ms, heap usage 117.370 MB -> 88.114 MB. [2025-08-25T21:17:23.737Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:17:25.490Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:17:27.282Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:17:29.115Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:17:30.356Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:17:31.141Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:17:32.383Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:17:33.647Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:17:33.647Z] 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. [2025-08-25T21:17:33.647Z] The best model improves the baseline by 14.52%. [2025-08-25T21:17:34.014Z] Top recommended movies for user id 72: [2025-08-25T21:17:34.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:17:34.014Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:17:34.014Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:17:34.014Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:17:34.014Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:17:34.014Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11880.427 ms) ====== [2025-08-25T21:17:34.014Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-25T21:17:34.014Z] GC before operation: completed in 79.699 ms, heap usage 341.692 MB -> 88.693 MB. [2025-08-25T21:17:35.801Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:17:37.567Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:17:39.344Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:17:41.137Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:17:42.390Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:17:43.190Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:17:44.420Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:17:45.648Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:17:45.648Z] 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. [2025-08-25T21:17:46.001Z] The best model improves the baseline by 14.52%. [2025-08-25T21:17:46.001Z] Top recommended movies for user id 72: [2025-08-25T21:17:46.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:17:46.001Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:17:46.001Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:17:46.001Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:17:46.001Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:17:46.001Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11983.901 ms) ====== [2025-08-25T21:17:46.001Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-25T21:17:46.001Z] GC before operation: completed in 78.595 ms, heap usage 204.906 MB -> 88.576 MB. [2025-08-25T21:17:47.802Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:17:49.606Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:17:51.388Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:17:53.190Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:17:53.971Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:17:55.234Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:17:56.472Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:17:57.248Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:17:57.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-25T21:17:57.607Z] The best model improves the baseline by 14.52%. [2025-08-25T21:17:57.607Z] Top recommended movies for user id 72: [2025-08-25T21:17:57.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:17:57.607Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:17:57.607Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:17:57.607Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:17:57.607Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:17:57.607Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11712.605 ms) ====== [2025-08-25T21:17:57.607Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-25T21:17:57.977Z] GC before operation: completed in 100.184 ms, heap usage 197.100 MB -> 88.426 MB. [2025-08-25T21:17:59.778Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:18:01.600Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:18:03.418Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:18:05.244Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:18:06.479Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:18:07.267Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:18:08.562Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:18:09.339Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:18:09.692Z] 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. [2025-08-25T21:18:09.692Z] The best model improves the baseline by 14.52%. [2025-08-25T21:18:09.692Z] Top recommended movies for user id 72: [2025-08-25T21:18:09.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:18:09.692Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:18:09.692Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:18:09.692Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:18:09.692Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:18:09.692Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11950.123 ms) ====== [2025-08-25T21:18:09.692Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-25T21:18:09.692Z] GC before operation: completed in 95.608 ms, heap usage 222.770 MB -> 88.676 MB. [2025-08-25T21:18:11.454Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:18:13.273Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:18:15.076Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:18:16.854Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:18:18.087Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:18:19.313Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:18:20.552Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:18:21.311Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:18:21.667Z] 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. [2025-08-25T21:18:21.667Z] The best model improves the baseline by 14.52%. [2025-08-25T21:18:21.667Z] Top recommended movies for user id 72: [2025-08-25T21:18:21.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:18:21.667Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:18:21.667Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:18:21.667Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:18:21.667Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:18:21.667Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11849.958 ms) ====== [2025-08-25T21:18:21.667Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-25T21:18:21.667Z] GC before operation: completed in 77.947 ms, heap usage 328.332 MB -> 88.591 MB. [2025-08-25T21:18:23.452Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:18:25.210Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:18:27.626Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:18:28.902Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:18:30.167Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:18:31.453Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:18:32.715Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:18:33.511Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:18:33.511Z] 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. [2025-08-25T21:18:33.877Z] The best model improves the baseline by 14.52%. [2025-08-25T21:18:33.877Z] Top recommended movies for user id 72: [2025-08-25T21:18:33.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:18:33.877Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:18:33.877Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:18:33.877Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:18:33.877Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:18:33.877Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11995.007 ms) ====== [2025-08-25T21:18:33.877Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-25T21:18:33.877Z] GC before operation: completed in 90.901 ms, heap usage 295.852 MB -> 88.704 MB. [2025-08-25T21:18:35.675Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:18:37.428Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:18:39.268Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:18:41.053Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:18:42.286Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:18:43.516Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:18:44.358Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:18:45.574Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:18:45.574Z] 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. [2025-08-25T21:18:45.939Z] The best model improves the baseline by 14.52%. [2025-08-25T21:18:45.939Z] Top recommended movies for user id 72: [2025-08-25T21:18:45.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:18:45.939Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:18:45.939Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:18:45.939Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:18:45.939Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:18:45.939Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11984.625 ms) ====== [2025-08-25T21:18:45.939Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-25T21:18:45.939Z] GC before operation: completed in 98.433 ms, heap usage 154.817 MB -> 88.400 MB. [2025-08-25T21:18:47.716Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:18:49.505Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:18:51.293Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:18:53.064Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:18:54.310Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:18:55.103Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:18:56.367Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:18:57.601Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:18:57.601Z] 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. [2025-08-25T21:18:57.601Z] The best model improves the baseline by 14.52%. [2025-08-25T21:18:57.601Z] Top recommended movies for user id 72: [2025-08-25T21:18:57.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:18:57.602Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:18:57.602Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:18:57.602Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:18:57.602Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:18:57.602Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11691.982 ms) ====== [2025-08-25T21:18:57.602Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-25T21:18:57.602Z] GC before operation: completed in 81.323 ms, heap usage 404.308 MB -> 88.869 MB. [2025-08-25T21:18:59.378Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:19:01.217Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:19:03.662Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:19:04.922Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:19:06.188Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:19:07.421Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:19:08.665Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:19:09.439Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:19:09.439Z] 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. [2025-08-25T21:19:09.791Z] The best model improves the baseline by 14.52%. [2025-08-25T21:19:09.791Z] Top recommended movies for user id 72: [2025-08-25T21:19:09.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-25T21:19:09.791Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-25T21:19:09.791Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-25T21:19:09.791Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-25T21:19:09.791Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-25T21:19:09.791Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11964.517 ms) ====== [2025-08-25T21:19:10.143Z] ----------------------------------- [2025-08-25T21:19:10.143Z] renaissance-movie-lens_0_PASSED [2025-08-25T21:19:10.143Z] ----------------------------------- [2025-08-25T21:19:10.143Z] [2025-08-25T21:19:10.143Z] TEST TEARDOWN: [2025-08-25T21:19:10.143Z] Nothing to be done for teardown. [2025-08-25T21:19:10.143Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 17:19:09 2025 Epoch Time (ms): 1756156749777