[2025-05-21T21:15:26.904Z] Running test renaissance-movie-lens_0 ... [2025-05-21T21:15:26.904Z] =============================================== [2025-05-21T21:15:26.904Z] renaissance-movie-lens_0 Start Time: Wed May 21 17:15:26 2025 Epoch Time (ms): 1747862126534 [2025-05-21T21:15:26.904Z] variation: NoOptions [2025-05-21T21:15:26.904Z] JVM_OPTIONS: [2025-05-21T21:15:26.904Z] { \ [2025-05-21T21:15:26.904Z] echo ""; echo "TEST SETUP:"; \ [2025-05-21T21:15:26.904Z] echo "Nothing to be done for setup."; \ [2025-05-21T21:15:26.904Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17478614876908/renaissance-movie-lens_0"; \ [2025-05-21T21:15:26.904Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17478614876908/renaissance-movie-lens_0"; \ [2025-05-21T21:15:26.904Z] echo ""; echo "TESTING:"; \ [2025-05-21T21:15:26.904Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17478614876908/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-21T21:15:26.905Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17478614876908/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-21T21:15:26.905Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-21T21:15:26.905Z] echo "Nothing to be done for teardown."; \ [2025-05-21T21:15:26.905Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17478614876908/TestTargetResult"; [2025-05-21T21:15:26.905Z] [2025-05-21T21:15:26.905Z] TEST SETUP: [2025-05-21T21:15:26.905Z] Nothing to be done for setup. [2025-05-21T21:15:26.905Z] [2025-05-21T21:15:26.905Z] TESTING: [2025-05-21T21:15:30.221Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-21T21:15:32.788Z] 17:15:32.290 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-21T21:15:33.666Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-21T21:15:34.052Z] Training: 60056, validation: 20285, test: 19854 [2025-05-21T21:15:34.052Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-21T21:15:34.052Z] GC before operation: completed in 62.512 ms, heap usage 322.505 MB -> 75.930 MB. [2025-05-21T21:15:37.428Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:15:40.117Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:15:42.065Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:15:43.964Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:15:45.347Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:15:46.182Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:15:47.511Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:15:48.370Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:15:48.769Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:15:48.769Z] The best model improves the baseline by 14.52%. [2025-05-21T21:15:48.769Z] Top recommended movies for user id 72: [2025-05-21T21:15:48.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:15:48.769Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:15:48.769Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:15:48.769Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:15:48.769Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:15:48.769Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14639.425 ms) ====== [2025-05-21T21:15:48.769Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-21T21:15:48.769Z] GC before operation: completed in 68.294 ms, heap usage 491.621 MB -> 93.582 MB. [2025-05-21T21:15:50.697Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:15:52.058Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:15:53.992Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:15:55.347Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:15:56.201Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:15:57.037Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:15:57.917Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:15:59.258Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:15:59.258Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:15:59.258Z] The best model improves the baseline by 14.52%. [2025-05-21T21:15:59.258Z] Top recommended movies for user id 72: [2025-05-21T21:15:59.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:15:59.258Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:15:59.258Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:15:59.258Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:15:59.258Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:15:59.258Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10559.832 ms) ====== [2025-05-21T21:15:59.258Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-21T21:15:59.649Z] GC before operation: completed in 61.449 ms, heap usage 132.449 MB -> 90.275 MB. [2025-05-21T21:16:00.999Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:02.939Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:04.897Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:06.294Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:07.147Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:07.979Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:08.819Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:09.674Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:09.674Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:09.674Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:09.674Z] Top recommended movies for user id 72: [2025-05-21T21:16:09.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:09.674Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:09.674Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:09.674Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:09.674Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:09.674Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10309.182 ms) ====== [2025-05-21T21:16:09.674Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-21T21:16:10.067Z] GC before operation: completed in 71.961 ms, heap usage 454.086 MB -> 89.573 MB. [2025-05-21T21:16:11.435Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:12.751Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:14.096Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:14.927Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:15.752Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:16.142Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:16.983Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:17.805Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:17.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:17.805Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:17.805Z] Top recommended movies for user id 72: [2025-05-21T21:16:17.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:17.805Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:17.805Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:17.805Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:17.805Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:17.805Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8106.044 ms) ====== [2025-05-21T21:16:17.805Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-21T21:16:18.192Z] GC before operation: completed in 44.681 ms, heap usage 206.575 MB -> 91.119 MB. [2025-05-21T21:16:19.029Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:20.361Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:21.701Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:22.538Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:23.373Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:23.780Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:24.613Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:25.452Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:25.452Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:25.452Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:25.452Z] Top recommended movies for user id 72: [2025-05-21T21:16:25.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:25.452Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:25.452Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:25.452Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:25.452Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:25.452Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7459.183 ms) ====== [2025-05-21T21:16:25.452Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-21T21:16:25.453Z] GC before operation: completed in 61.790 ms, heap usage 176.941 MB -> 89.296 MB. [2025-05-21T21:16:26.788Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:28.115Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:29.449Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:30.775Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:31.660Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:32.493Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:33.332Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:33.721Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:34.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:34.109Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:34.109Z] Top recommended movies for user id 72: [2025-05-21T21:16:34.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:34.109Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:34.109Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:34.109Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:34.109Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:34.109Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8615.397 ms) ====== [2025-05-21T21:16:34.109Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-21T21:16:34.109Z] GC before operation: completed in 58.789 ms, heap usage 408.003 MB -> 91.716 MB. [2025-05-21T21:16:35.456Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:36.800Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:38.140Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:39.477Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:40.345Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:40.755Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:42.109Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:42.499Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:42.909Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:42.909Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:42.909Z] Top recommended movies for user id 72: [2025-05-21T21:16:42.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:42.909Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:42.909Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:42.909Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:42.909Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:42.909Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8648.440 ms) ====== [2025-05-21T21:16:42.909Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-21T21:16:42.909Z] GC before operation: completed in 54.637 ms, heap usage 219.467 MB -> 89.586 MB. [2025-05-21T21:16:44.250Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:45.076Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:46.466Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:47.798Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:48.628Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:49.489Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:50.325Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:51.175Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:51.175Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:51.175Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:51.175Z] Top recommended movies for user id 72: [2025-05-21T21:16:51.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:51.175Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:51.175Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:51.175Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:51.175Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:51.175Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8308.213 ms) ====== [2025-05-21T21:16:51.175Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-21T21:16:51.175Z] GC before operation: completed in 44.590 ms, heap usage 250.486 MB -> 89.897 MB. [2025-05-21T21:16:52.548Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:16:53.395Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:16:54.239Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:16:55.074Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:16:55.991Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:16:56.387Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:16:57.265Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:16:58.102Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:16:58.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:16:58.102Z] The best model improves the baseline by 14.52%. [2025-05-21T21:16:58.102Z] Top recommended movies for user id 72: [2025-05-21T21:16:58.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:16:58.102Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:16:58.102Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:16:58.102Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:16:58.102Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:16:58.102Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6780.692 ms) ====== [2025-05-21T21:16:58.102Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-21T21:16:58.102Z] GC before operation: completed in 52.382 ms, heap usage 344.867 MB -> 89.989 MB. [2025-05-21T21:16:59.457Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:00.293Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:01.683Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:02.554Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:02.954Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:03.839Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:04.720Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:05.118Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:05.511Z] 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. [2025-05-21T21:17:05.511Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:05.511Z] Top recommended movies for user id 72: [2025-05-21T21:17:05.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:05.511Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:05.511Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:05.511Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:05.511Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:05.511Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7395.586 ms) ====== [2025-05-21T21:17:05.511Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-21T21:17:05.511Z] GC before operation: completed in 67.381 ms, heap usage 411.017 MB -> 90.252 MB. [2025-05-21T21:17:06.855Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:08.180Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:09.507Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:10.848Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:11.693Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:12.083Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:12.914Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:13.749Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:13.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:17:13.749Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:14.139Z] Top recommended movies for user id 72: [2025-05-21T21:17:14.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:14.139Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:14.139Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:14.139Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:14.139Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:14.139Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8361.483 ms) ====== [2025-05-21T21:17:14.139Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-21T21:17:14.139Z] GC before operation: completed in 60.046 ms, heap usage 187.214 MB -> 89.610 MB. [2025-05-21T21:17:15.486Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:16.827Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:18.163Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:19.491Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:20.319Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:21.148Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:21.992Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:22.860Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:22.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:17:22.860Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:22.860Z] Top recommended movies for user id 72: [2025-05-21T21:17:22.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:22.860Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:22.860Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:22.860Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:22.860Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:22.860Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8883.515 ms) ====== [2025-05-21T21:17:22.860Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-21T21:17:22.860Z] GC before operation: completed in 67.022 ms, heap usage 447.256 MB -> 90.156 MB. [2025-05-21T21:17:24.203Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:25.535Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:27.453Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:28.789Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:29.647Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:30.035Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:30.885Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:32.237Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:32.237Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:17:32.237Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:32.237Z] Top recommended movies for user id 72: [2025-05-21T21:17:32.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:32.237Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:32.237Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:32.237Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:32.237Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:32.237Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9251.906 ms) ====== [2025-05-21T21:17:32.237Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-21T21:17:32.237Z] GC before operation: completed in 66.475 ms, heap usage 242.235 MB -> 93.251 MB. [2025-05-21T21:17:34.151Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:35.478Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:36.817Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:38.749Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:39.143Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:39.988Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:41.321Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:41.711Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:42.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:17:42.100Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:42.100Z] Top recommended movies for user id 72: [2025-05-21T21:17:42.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:42.100Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:42.100Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:42.100Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:42.100Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:42.100Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9861.328 ms) ====== [2025-05-21T21:17:42.100Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-21T21:17:42.100Z] GC before operation: completed in 74.737 ms, heap usage 253.330 MB -> 93.228 MB. [2025-05-21T21:17:44.013Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:44.879Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:46.807Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:48.161Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:49.018Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:49.414Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:50.260Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:17:51.103Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:17:51.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:17:51.499Z] The best model improves the baseline by 14.52%. [2025-05-21T21:17:51.499Z] Top recommended movies for user id 72: [2025-05-21T21:17:51.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:17:51.499Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:17:51.499Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:17:51.499Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:17:51.499Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:17:51.499Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9296.341 ms) ====== [2025-05-21T21:17:51.499Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-21T21:17:51.499Z] GC before operation: completed in 62.093 ms, heap usage 159.786 MB -> 91.701 MB. [2025-05-21T21:17:53.449Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:17:54.283Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:17:55.610Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:17:56.945Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:17:57.777Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:17:58.611Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:17:59.441Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:18:00.285Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:18:00.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:18:00.716Z] The best model improves the baseline by 14.52%. [2025-05-21T21:18:00.716Z] Top recommended movies for user id 72: [2025-05-21T21:18:00.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:18:00.716Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:18:00.716Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:18:00.716Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:18:00.716Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:18:00.716Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9120.337 ms) ====== [2025-05-21T21:18:00.716Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-21T21:18:00.716Z] GC before operation: completed in 57.139 ms, heap usage 470.087 MB -> 90.257 MB. [2025-05-21T21:18:02.077Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:18:03.444Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:18:04.885Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:18:06.244Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:18:07.094Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:18:07.484Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:18:08.316Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:18:08.733Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:18:09.125Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:18:09.125Z] The best model improves the baseline by 14.52%. [2025-05-21T21:18:09.125Z] Top recommended movies for user id 72: [2025-05-21T21:18:09.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:18:09.125Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:18:09.125Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:18:09.125Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:18:09.125Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:18:09.125Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8308.018 ms) ====== [2025-05-21T21:18:09.125Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-21T21:18:09.125Z] GC before operation: completed in 44.634 ms, heap usage 223.880 MB -> 89.931 MB. [2025-05-21T21:18:09.952Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:18:11.298Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:18:12.643Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:18:13.978Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:18:14.848Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:18:15.674Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:18:16.515Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:18:17.354Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:18:17.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:18:17.355Z] The best model improves the baseline by 14.52%. [2025-05-21T21:18:17.355Z] Top recommended movies for user id 72: [2025-05-21T21:18:17.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:18:17.355Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:18:17.355Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:18:17.355Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:18:17.355Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:18:17.355Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8290.142 ms) ====== [2025-05-21T21:18:17.355Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-21T21:18:17.355Z] GC before operation: completed in 45.737 ms, heap usage 193.777 MB -> 89.732 MB. [2025-05-21T21:18:18.686Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:18:20.024Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:18:20.852Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:18:22.205Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:18:22.610Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:18:23.440Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:18:24.270Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:18:24.667Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:18:25.111Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:18:25.111Z] The best model improves the baseline by 14.52%. [2025-05-21T21:18:25.111Z] Top recommended movies for user id 72: [2025-05-21T21:18:25.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:18:25.111Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:18:25.111Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:18:25.111Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:18:25.111Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:18:25.111Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7550.808 ms) ====== [2025-05-21T21:18:25.112Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-21T21:18:25.112Z] GC before operation: completed in 43.762 ms, heap usage 116.375 MB -> 89.790 MB. [2025-05-21T21:18:25.950Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:18:27.277Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:18:28.610Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:18:29.969Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:18:30.355Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:18:31.179Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:18:32.029Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:18:32.885Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:18:32.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-21T21:18:32.885Z] The best model improves the baseline by 14.52%. [2025-05-21T21:18:33.277Z] Top recommended movies for user id 72: [2025-05-21T21:18:33.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-21T21:18:33.277Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-21T21:18:33.277Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-21T21:18:33.277Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-21T21:18:33.277Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-21T21:18:33.277Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8093.989 ms) ====== [2025-05-21T21:18:33.277Z] ----------------------------------- [2025-05-21T21:18:33.277Z] renaissance-movie-lens_0_PASSED [2025-05-21T21:18:33.277Z] ----------------------------------- [2025-05-21T21:18:33.277Z] [2025-05-21T21:18:33.277Z] TEST TEARDOWN: [2025-05-21T21:18:33.277Z] Nothing to be done for teardown. [2025-05-21T21:18:33.277Z] renaissance-movie-lens_0 Finish Time: Wed May 21 17:18:33 2025 Epoch Time (ms): 1747862313089