[2025-08-01T21:19:43.644Z] Running test renaissance-movie-lens_0 ... [2025-08-01T21:19:43.644Z] =============================================== [2025-08-01T21:19:43.644Z] renaissance-movie-lens_0 Start Time: Fri Aug 1 17:19:43 2025 Epoch Time (ms): 1754083183242 [2025-08-01T21:19:43.644Z] variation: NoOptions [2025-08-01T21:19:43.644Z] JVM_OPTIONS: [2025-08-01T21:19:43.644Z] { \ [2025-08-01T21:19:43.644Z] echo ""; echo "TEST SETUP:"; \ [2025-08-01T21:19:43.644Z] echo "Nothing to be done for setup."; \ [2025-08-01T21:19:43.644Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17540821099650/renaissance-movie-lens_0"; \ [2025-08-01T21:19:43.644Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17540821099650/renaissance-movie-lens_0"; \ [2025-08-01T21:19:43.644Z] echo ""; echo "TESTING:"; \ [2025-08-01T21:19:43.644Z] "/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_17540821099650/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-01T21:19:43.644Z] 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_17540821099650/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-01T21:19:43.644Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-01T21:19:43.644Z] echo "Nothing to be done for teardown."; \ [2025-08-01T21:19:43.644Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17540821099650/TestTargetResult"; [2025-08-01T21:19:43.644Z] [2025-08-01T21:19:43.644Z] TEST SETUP: [2025-08-01T21:19:43.644Z] Nothing to be done for setup. [2025-08-01T21:19:43.644Z] [2025-08-01T21:19:43.644Z] TESTING: [2025-08-01T21:19:47.602Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-01T21:19:52.599Z] 17:19:51.866 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-08-01T21:19:53.400Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-01T21:19:53.777Z] Training: 60056, validation: 20285, test: 19854 [2025-08-01T21:19:53.777Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-01T21:19:53.777Z] GC before operation: completed in 97.511 ms, heap usage 282.353 MB -> 74.518 MB. [2025-08-01T21:19:58.804Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:01.438Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:03.925Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:20:05.716Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:20:06.958Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:20:08.225Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:20:09.454Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:20:10.694Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:20:10.695Z] 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. [2025-08-01T21:20:10.695Z] The best model improves the baseline by 14.52%. [2025-08-01T21:20:10.695Z] Top recommended movies for user id 72: [2025-08-01T21:20:10.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:20:10.695Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:20:10.695Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:20:10.695Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:20:10.695Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:20:10.695Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16759.510 ms) ====== [2025-08-01T21:20:10.695Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-01T21:20:10.695Z] GC before operation: completed in 82.667 ms, heap usage 427.424 MB -> 86.661 MB. [2025-08-01T21:20:12.482Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:14.293Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:16.057Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:20:17.847Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:20:19.098Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:20:20.330Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:20:22.130Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:20:22.898Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:20:23.272Z] 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. [2025-08-01T21:20:23.273Z] The best model improves the baseline by 14.52%. [2025-08-01T21:20:23.273Z] Top recommended movies for user id 72: [2025-08-01T21:20:23.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:20:23.273Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:20:23.273Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:20:23.273Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:20:23.273Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:20:23.273Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12432.768 ms) ====== [2025-08-01T21:20:23.273Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-01T21:20:23.273Z] GC before operation: completed in 86.188 ms, heap usage 120.548 MB -> 87.059 MB. [2025-08-01T21:20:25.107Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:27.499Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:29.271Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:20:31.045Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:20:31.825Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:20:33.058Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:20:33.823Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:20:35.053Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:20:35.053Z] 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. [2025-08-01T21:20:35.053Z] The best model improves the baseline by 14.52%. [2025-08-01T21:20:35.053Z] Top recommended movies for user id 72: [2025-08-01T21:20:35.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:20:35.053Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:20:35.053Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:20:35.053Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:20:35.053Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:20:35.053Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11902.515 ms) ====== [2025-08-01T21:20:35.053Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-01T21:20:35.402Z] GC before operation: completed in 84.409 ms, heap usage 313.363 MB -> 87.945 MB. [2025-08-01T21:20:37.183Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:38.446Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:39.705Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:20:41.010Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:20:41.774Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:20:42.536Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:20:43.300Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:20:44.533Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:20:44.533Z] 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. [2025-08-01T21:20:44.533Z] The best model improves the baseline by 14.52%. [2025-08-01T21:20:44.889Z] Top recommended movies for user id 72: [2025-08-01T21:20:44.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:20:44.889Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:20:44.889Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:20:44.889Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:20:44.889Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:20:44.889Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9422.399 ms) ====== [2025-08-01T21:20:44.889Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-01T21:20:44.889Z] GC before operation: completed in 81.609 ms, heap usage 181.455 MB -> 88.098 MB. [2025-08-01T21:20:46.667Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:47.892Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:49.156Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:20:50.925Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:20:51.687Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:20:52.461Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:20:53.693Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:20:54.945Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:20:54.945Z] 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. [2025-08-01T21:20:54.945Z] The best model improves the baseline by 14.52%. [2025-08-01T21:20:54.945Z] Top recommended movies for user id 72: [2025-08-01T21:20:54.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:20:54.945Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:20:54.945Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:20:54.945Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:20:54.945Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:20:54.945Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10138.183 ms) ====== [2025-08-01T21:20:54.945Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-01T21:20:54.945Z] GC before operation: completed in 60.362 ms, heap usage 268.271 MB -> 88.141 MB. [2025-08-01T21:20:56.257Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:20:58.092Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:20:59.872Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:01.719Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:02.954Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:04.207Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:05.443Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:06.713Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:07.067Z] 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. [2025-08-01T21:21:07.067Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:07.067Z] Top recommended movies for user id 72: [2025-08-01T21:21:07.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:07.067Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:07.067Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:07.067Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:07.067Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:07.067Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12115.211 ms) ====== [2025-08-01T21:21:07.067Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-01T21:21:07.067Z] GC before operation: completed in 93.456 ms, heap usage 364.320 MB -> 88.515 MB. [2025-08-01T21:21:08.857Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:21:10.661Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:21:12.482Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:14.933Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:15.707Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:16.963Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:18.218Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:18.999Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:18.999Z] 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. [2025-08-01T21:21:19.364Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:19.364Z] Top recommended movies for user id 72: [2025-08-01T21:21:19.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:19.364Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:19.364Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:19.364Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:19.364Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:19.364Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12081.380 ms) ====== [2025-08-01T21:21:19.364Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-01T21:21:19.364Z] GC before operation: completed in 96.018 ms, heap usage 154.512 MB -> 88.231 MB. [2025-08-01T21:21:21.183Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:21:23.013Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:21:24.262Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:25.502Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:26.271Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:27.492Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:28.262Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:29.048Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:29.407Z] 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. [2025-08-01T21:21:29.407Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:29.407Z] Top recommended movies for user id 72: [2025-08-01T21:21:29.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:29.407Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:29.407Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:29.407Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:29.407Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:29.407Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9944.127 ms) ====== [2025-08-01T21:21:29.407Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-01T21:21:29.407Z] GC before operation: completed in 67.021 ms, heap usage 427.473 MB -> 88.811 MB. [2025-08-01T21:21:31.219Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:21:32.453Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:21:33.680Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:34.913Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:35.674Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:36.428Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:37.187Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:37.950Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:37.950Z] 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. [2025-08-01T21:21:37.950Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:37.950Z] Top recommended movies for user id 72: [2025-08-01T21:21:37.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:37.950Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:37.950Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:37.950Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:37.950Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:37.950Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8700.367 ms) ====== [2025-08-01T21:21:37.950Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-01T21:21:38.302Z] GC before operation: completed in 63.931 ms, heap usage 301.138 MB -> 88.478 MB. [2025-08-01T21:21:39.540Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:21:40.770Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:21:42.000Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:43.220Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:44.428Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:45.178Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:45.949Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:46.741Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:47.136Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-01T21:21:47.136Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:47.136Z] Top recommended movies for user id 72: [2025-08-01T21:21:47.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:47.136Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:47.136Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:47.136Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:47.136Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:47.136Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8944.295 ms) ====== [2025-08-01T21:21:47.136Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-01T21:21:47.136Z] GC before operation: completed in 68.033 ms, heap usage 121.237 MB -> 88.404 MB. [2025-08-01T21:21:48.897Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:21:50.120Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:21:51.908Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:21:53.141Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:21:54.402Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:21:55.651Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:21:56.418Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:21:57.191Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:21:57.547Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-01T21:21:57.547Z] The best model improves the baseline by 14.52%. [2025-08-01T21:21:57.547Z] Top recommended movies for user id 72: [2025-08-01T21:21:57.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:21:57.547Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:21:57.547Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:21:57.547Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:21:57.547Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:21:57.547Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10433.954 ms) ====== [2025-08-01T21:21:57.547Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-01T21:21:57.547Z] GC before operation: completed in 77.726 ms, heap usage 370.084 MB -> 88.488 MB. [2025-08-01T21:21:59.307Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:01.096Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:22:02.352Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:22:04.162Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:22:04.954Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:22:06.166Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:22:07.405Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:22:08.165Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:22:08.539Z] 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. [2025-08-01T21:22:08.539Z] The best model improves the baseline by 14.52%. [2025-08-01T21:22:08.539Z] Top recommended movies for user id 72: [2025-08-01T21:22:08.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:22:08.539Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:22:08.539Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:22:08.539Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:22:08.539Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:22:08.539Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10826.545 ms) ====== [2025-08-01T21:22:08.539Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-01T21:22:08.539Z] GC before operation: completed in 96.055 ms, heap usage 229.575 MB -> 88.517 MB. [2025-08-01T21:22:10.289Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:12.064Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:22:13.824Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:22:15.585Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:22:16.847Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:22:18.138Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:22:18.903Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:22:20.168Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:22:20.168Z] 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. [2025-08-01T21:22:20.168Z] The best model improves the baseline by 14.52%. [2025-08-01T21:22:20.521Z] Top recommended movies for user id 72: [2025-08-01T21:22:20.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:22:20.521Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:22:20.521Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:22:20.521Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:22:20.521Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:22:20.521Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11824.367 ms) ====== [2025-08-01T21:22:20.521Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-01T21:22:20.521Z] GC before operation: completed in 98.938 ms, heap usage 209.044 MB -> 88.595 MB. [2025-08-01T21:22:22.307Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:24.090Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:22:25.905Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:22:27.702Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:22:28.499Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:22:29.737Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:22:30.975Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:22:31.752Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:22:31.752Z] 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. [2025-08-01T21:22:31.752Z] The best model improves the baseline by 14.52%. [2025-08-01T21:22:31.752Z] Top recommended movies for user id 72: [2025-08-01T21:22:31.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:22:31.752Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:22:31.752Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:22:31.752Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:22:31.752Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:22:31.752Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11366.019 ms) ====== [2025-08-01T21:22:31.752Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-01T21:22:32.116Z] GC before operation: completed in 87.541 ms, heap usage 286.606 MB -> 88.584 MB. [2025-08-01T21:22:33.896Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:35.673Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:22:37.462Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:22:38.691Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:22:39.924Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:22:41.171Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:22:41.937Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:22:43.291Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:22:43.291Z] 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. [2025-08-01T21:22:43.291Z] The best model improves the baseline by 14.52%. [2025-08-01T21:22:43.291Z] Top recommended movies for user id 72: [2025-08-01T21:22:43.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:22:43.291Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:22:43.291Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:22:43.291Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:22:43.291Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:22:43.291Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11388.866 ms) ====== [2025-08-01T21:22:43.291Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-01T21:22:43.291Z] GC before operation: completed in 85.239 ms, heap usage 360.192 MB -> 88.907 MB. [2025-08-01T21:22:45.091Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:46.848Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:22:48.613Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:22:50.386Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:22:51.619Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:22:52.901Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:22:53.672Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:22:54.890Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:22:54.890Z] 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. [2025-08-01T21:22:55.248Z] The best model improves the baseline by 14.52%. [2025-08-01T21:22:55.248Z] Top recommended movies for user id 72: [2025-08-01T21:22:55.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:22:55.248Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:22:55.248Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:22:55.248Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:22:55.248Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:22:55.248Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11710.140 ms) ====== [2025-08-01T21:22:55.248Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-01T21:22:55.248Z] GC before operation: completed in 88.669 ms, heap usage 261.907 MB -> 88.635 MB. [2025-08-01T21:22:57.050Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:22:58.825Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:23:00.622Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:23:02.466Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:23:03.225Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:23:04.483Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:23:05.718Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:23:06.966Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:23:06.966Z] 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. [2025-08-01T21:23:06.966Z] The best model improves the baseline by 14.52%. [2025-08-01T21:23:06.966Z] Top recommended movies for user id 72: [2025-08-01T21:23:06.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:23:06.966Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:23:06.966Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:23:06.966Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:23:06.966Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:23:06.966Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11683.619 ms) ====== [2025-08-01T21:23:06.966Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-01T21:23:06.966Z] GC before operation: completed in 80.323 ms, heap usage 354.959 MB -> 88.789 MB. [2025-08-01T21:23:08.766Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:23:10.566Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:23:12.364Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:23:14.768Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:23:15.556Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:23:16.340Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:23:17.584Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:23:18.806Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:23:18.806Z] 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. [2025-08-01T21:23:18.806Z] The best model improves the baseline by 14.52%. [2025-08-01T21:23:18.806Z] Top recommended movies for user id 72: [2025-08-01T21:23:18.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:23:18.806Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:23:18.806Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:23:18.806Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:23:18.806Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:23:18.806Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11748.834 ms) ====== [2025-08-01T21:23:18.806Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-01T21:23:18.806Z] GC before operation: completed in 86.322 ms, heap usage 318.030 MB -> 88.551 MB. [2025-08-01T21:23:20.580Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:23:22.367Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:23:24.143Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:23:25.910Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:23:26.693Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:23:27.950Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:23:29.210Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:23:29.996Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:23:30.362Z] 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. [2025-08-01T21:23:30.362Z] The best model improves the baseline by 14.52%. [2025-08-01T21:23:30.362Z] Top recommended movies for user id 72: [2025-08-01T21:23:30.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:23:30.362Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:23:30.362Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:23:30.362Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:23:30.362Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:23:30.362Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11442.483 ms) ====== [2025-08-01T21:23:30.362Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-01T21:23:30.362Z] GC before operation: completed in 79.906 ms, heap usage 227.969 MB -> 88.572 MB. [2025-08-01T21:23:32.147Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T21:23:33.937Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T21:23:35.705Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T21:23:37.491Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T21:23:38.754Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T21:23:40.034Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T21:23:40.814Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T21:23:42.048Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T21:23:42.048Z] 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. [2025-08-01T21:23:42.048Z] The best model improves the baseline by 14.52%. [2025-08-01T21:23:42.399Z] Top recommended movies for user id 72: [2025-08-01T21:23:42.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-01T21:23:42.399Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-01T21:23:42.399Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-01T21:23:42.399Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-01T21:23:42.399Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-01T21:23:42.399Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11884.671 ms) ====== [2025-08-01T21:23:42.751Z] ----------------------------------- [2025-08-01T21:23:42.751Z] renaissance-movie-lens_0_PASSED [2025-08-01T21:23:42.751Z] ----------------------------------- [2025-08-01T21:23:42.751Z] [2025-08-01T21:23:42.751Z] TEST TEARDOWN: [2025-08-01T21:23:42.751Z] Nothing to be done for teardown. [2025-08-01T21:23:42.751Z] renaissance-movie-lens_0 Finish Time: Fri Aug 1 17:23:42 2025 Epoch Time (ms): 1754083422390