[2025-08-20T20:15:08.662Z] Running test renaissance-movie-lens_0 ... [2025-08-20T20:15:08.662Z] =============================================== [2025-08-20T20:15:08.662Z] renaissance-movie-lens_0 Start Time: Wed Aug 20 16:15:08 2025 Epoch Time (ms): 1755720908509 [2025-08-20T20:15:08.662Z] variation: NoOptions [2025-08-20T20:15:08.662Z] JVM_OPTIONS: [2025-08-20T20:15:08.662Z] { \ [2025-08-20T20:15:08.662Z] echo ""; echo "TEST SETUP:"; \ [2025-08-20T20:15:08.662Z] echo "Nothing to be done for setup."; \ [2025-08-20T20:15:08.662Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17557202437073/renaissance-movie-lens_0"; \ [2025-08-20T20:15:08.662Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17557202437073/renaissance-movie-lens_0"; \ [2025-08-20T20:15:08.662Z] echo ""; echo "TESTING:"; \ [2025-08-20T20:15:08.662Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17557202437073/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-20T20:15:08.662Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17557202437073/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-20T20:15:08.662Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-20T20:15:08.662Z] echo "Nothing to be done for teardown."; \ [2025-08-20T20:15:08.662Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17557202437073/TestTargetResult"; [2025-08-20T20:15:08.662Z] [2025-08-20T20:15:08.662Z] TEST SETUP: [2025-08-20T20:15:08.662Z] Nothing to be done for setup. [2025-08-20T20:15:08.662Z] [2025-08-20T20:15:08.662Z] TESTING: [2025-08-20T20:15:11.943Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-20T20:15:15.181Z] 16:15:15.115 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-08-20T20:15:16.484Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-20T20:15:16.883Z] Training: 60056, validation: 20285, test: 19854 [2025-08-20T20:15:16.883Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-20T20:15:16.883Z] GC before operation: completed in 100.736 ms, heap usage 455.893 MB -> 76.010 MB. [2025-08-20T20:15:20.298Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:15:22.276Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:15:24.245Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:15:25.758Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:15:27.267Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:15:28.125Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:15:28.965Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:15:30.292Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:15:30.292Z] 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. [2025-08-20T20:15:30.292Z] The best model improves the baseline by 14.52%. [2025-08-20T20:15:30.292Z] Top recommended movies for user id 72: [2025-08-20T20:15:30.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:15:30.292Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:15:30.292Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:15:30.292Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:15:30.292Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:15:30.292Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13550.878 ms) ====== [2025-08-20T20:15:30.292Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-20T20:15:30.665Z] GC before operation: completed in 99.927 ms, heap usage 283.453 MB -> 99.058 MB. [2025-08-20T20:15:31.994Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:15:33.921Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:15:35.238Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:15:37.031Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:15:37.800Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:15:38.581Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:15:39.846Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:15:40.659Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:15:40.659Z] 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. [2025-08-20T20:15:40.659Z] The best model improves the baseline by 14.52%. [2025-08-20T20:15:41.041Z] Top recommended movies for user id 72: [2025-08-20T20:15:41.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:15:41.041Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:15:41.041Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:15:41.041Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:15:41.041Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:15:41.041Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10426.409 ms) ====== [2025-08-20T20:15:41.041Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-20T20:15:41.041Z] GC before operation: completed in 66.932 ms, heap usage 352.216 MB -> 88.526 MB. [2025-08-20T20:15:42.355Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:15:44.191Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:15:46.018Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:15:47.503Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:15:48.322Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:15:49.120Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:15:50.413Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:15:51.219Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:15:51.220Z] 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. [2025-08-20T20:15:51.220Z] The best model improves the baseline by 14.52%. [2025-08-20T20:15:51.599Z] Top recommended movies for user id 72: [2025-08-20T20:15:51.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:15:51.599Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:15:51.599Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:15:51.599Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:15:51.599Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:15:51.599Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10488.730 ms) ====== [2025-08-20T20:15:51.599Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-20T20:15:51.599Z] GC before operation: completed in 67.172 ms, heap usage 158.874 MB -> 88.905 MB. [2025-08-20T20:15:53.431Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:15:55.252Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:15:56.525Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:15:57.831Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:15:59.192Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:15:59.980Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:00.768Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:02.087Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:02.087Z] 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. [2025-08-20T20:16:02.087Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:02.454Z] Top recommended movies for user id 72: [2025-08-20T20:16:02.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:02.455Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:02.455Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:02.455Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:02.455Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:02.455Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10725.019 ms) ====== [2025-08-20T20:16:02.455Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-20T20:16:02.455Z] GC before operation: completed in 85.797 ms, heap usage 389.522 MB -> 89.432 MB. [2025-08-20T20:16:03.736Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:05.572Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:06.818Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:08.113Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:08.903Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:09.708Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:10.970Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:11.786Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:11.786Z] 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. [2025-08-20T20:16:11.786Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:11.786Z] Top recommended movies for user id 72: [2025-08-20T20:16:11.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:11.786Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:11.786Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:11.786Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:11.786Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:11.786Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9456.376 ms) ====== [2025-08-20T20:16:11.786Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-20T20:16:11.786Z] GC before operation: completed in 83.324 ms, heap usage 186.739 MB -> 89.170 MB. [2025-08-20T20:16:13.597Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:14.842Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:16.087Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:17.333Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:18.124Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:18.924Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:20.185Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:20.962Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:20.962Z] 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. [2025-08-20T20:16:20.962Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:20.962Z] Top recommended movies for user id 72: [2025-08-20T20:16:20.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:20.962Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:20.962Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:20.962Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:20.962Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:20.962Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9203.921 ms) ====== [2025-08-20T20:16:20.962Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-20T20:16:21.319Z] GC before operation: completed in 73.769 ms, heap usage 232.008 MB -> 89.533 MB. [2025-08-20T20:16:22.583Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:24.454Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:25.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:26.955Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:27.735Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:28.505Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:29.282Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:30.141Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:30.505Z] 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. [2025-08-20T20:16:30.505Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:30.505Z] Top recommended movies for user id 72: [2025-08-20T20:16:30.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:30.505Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:30.505Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:30.505Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:30.505Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:30.505Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9327.700 ms) ====== [2025-08-20T20:16:30.505Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-20T20:16:30.505Z] GC before operation: completed in 88.755 ms, heap usage 475.706 MB -> 89.855 MB. [2025-08-20T20:16:32.292Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:33.520Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:35.353Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:36.628Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:37.404Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:38.167Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:39.448Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:40.256Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:40.256Z] 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. [2025-08-20T20:16:40.256Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:40.256Z] Top recommended movies for user id 72: [2025-08-20T20:16:40.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:40.256Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:40.256Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:40.256Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:40.256Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:40.256Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9679.300 ms) ====== [2025-08-20T20:16:40.256Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-20T20:16:40.256Z] GC before operation: completed in 99.589 ms, heap usage 218.889 MB -> 89.715 MB. [2025-08-20T20:16:42.036Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:43.275Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:44.536Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:45.796Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:46.598Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:47.840Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:48.632Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:49.410Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:49.410Z] 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. [2025-08-20T20:16:49.410Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:49.773Z] Top recommended movies for user id 72: [2025-08-20T20:16:49.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:49.773Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:49.773Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:49.773Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:49.773Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:49.773Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9253.470 ms) ====== [2025-08-20T20:16:49.773Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-20T20:16:49.773Z] GC before operation: completed in 68.670 ms, heap usage 204.053 MB -> 89.586 MB. [2025-08-20T20:16:51.051Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:16:52.337Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:16:54.168Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:16:55.418Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:16:56.196Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:16:56.976Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:16:57.765Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:16:58.557Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:16:58.932Z] 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. [2025-08-20T20:16:58.932Z] The best model improves the baseline by 14.52%. [2025-08-20T20:16:58.932Z] Top recommended movies for user id 72: [2025-08-20T20:16:58.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:16:58.932Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:16:58.932Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:16:58.932Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:16:58.932Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:16:58.932Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9156.583 ms) ====== [2025-08-20T20:16:58.932Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-20T20:16:58.932Z] GC before operation: completed in 76.565 ms, heap usage 407.474 MB -> 90.224 MB. [2025-08-20T20:17:00.205Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:01.587Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:03.504Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:04.783Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:05.550Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:06.330Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:07.131Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:07.920Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:07.920Z] 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. [2025-08-20T20:17:07.920Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:08.303Z] Top recommended movies for user id 72: [2025-08-20T20:17:08.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:08.303Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:08.303Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:08.303Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:08.303Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:08.303Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9207.757 ms) ====== [2025-08-20T20:17:08.303Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-20T20:17:08.303Z] GC before operation: completed in 77.558 ms, heap usage 470.585 MB -> 89.957 MB. [2025-08-20T20:17:09.607Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:10.391Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:11.681Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:12.462Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:13.253Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:13.763Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:14.575Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:15.365Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:15.365Z] 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. [2025-08-20T20:17:15.365Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:15.724Z] Top recommended movies for user id 72: [2025-08-20T20:17:15.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:15.724Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:15.724Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:15.724Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:15.724Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:15.724Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7325.669 ms) ====== [2025-08-20T20:17:15.724Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-20T20:17:15.724Z] GC before operation: completed in 54.126 ms, heap usage 198.323 MB -> 89.736 MB. [2025-08-20T20:17:17.040Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:17.848Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:19.176Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:20.467Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:21.826Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:22.206Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:23.510Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:24.294Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:24.294Z] 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. [2025-08-20T20:17:24.294Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:24.294Z] Top recommended movies for user id 72: [2025-08-20T20:17:24.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:24.294Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:24.294Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:24.294Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:24.294Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:24.294Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8830.140 ms) ====== [2025-08-20T20:17:24.294Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-20T20:17:24.721Z] GC before operation: completed in 69.452 ms, heap usage 98.752 MB -> 89.623 MB. [2025-08-20T20:17:26.058Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:27.857Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:29.130Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:30.922Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:31.280Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:32.517Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:33.315Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:34.105Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:34.477Z] 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. [2025-08-20T20:17:34.477Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:34.477Z] Top recommended movies for user id 72: [2025-08-20T20:17:34.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:34.477Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:34.477Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:34.477Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:34.477Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:34.477Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9997.200 ms) ====== [2025-08-20T20:17:34.477Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-20T20:17:34.477Z] GC before operation: completed in 76.621 ms, heap usage 371.927 MB -> 89.884 MB. [2025-08-20T20:17:36.270Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:37.501Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:38.752Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:40.009Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:40.782Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:41.560Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:42.329Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:43.123Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:43.481Z] 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. [2025-08-20T20:17:43.481Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:43.481Z] Top recommended movies for user id 72: [2025-08-20T20:17:43.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:43.481Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:43.481Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:43.481Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:43.481Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:43.481Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8888.311 ms) ====== [2025-08-20T20:17:43.481Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-20T20:17:43.481Z] GC before operation: completed in 71.692 ms, heap usage 410.650 MB -> 90.218 MB. [2025-08-20T20:17:44.746Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:46.553Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:47.834Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:49.112Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:49.922Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:50.708Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:17:51.471Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:17:52.261Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:17:52.261Z] 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. [2025-08-20T20:17:52.261Z] The best model improves the baseline by 14.52%. [2025-08-20T20:17:52.261Z] Top recommended movies for user id 72: [2025-08-20T20:17:52.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:17:52.261Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:17:52.261Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:17:52.261Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:17:52.261Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:17:52.261Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8883.533 ms) ====== [2025-08-20T20:17:52.261Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-20T20:17:52.619Z] GC before operation: completed in 68.466 ms, heap usage 213.967 MB -> 89.709 MB. [2025-08-20T20:17:53.862Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:17:55.124Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:17:56.434Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:17:57.716Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:17:58.979Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:17:59.744Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:18:00.587Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:18:01.396Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:18:01.396Z] 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. [2025-08-20T20:18:01.396Z] The best model improves the baseline by 14.52%. [2025-08-20T20:18:01.396Z] Top recommended movies for user id 72: [2025-08-20T20:18:01.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:18:01.396Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:18:01.396Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:18:01.396Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:18:01.396Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:18:01.396Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9060.316 ms) ====== [2025-08-20T20:18:01.396Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-20T20:18:01.768Z] GC before operation: completed in 64.048 ms, heap usage 248.050 MB -> 90.008 MB. [2025-08-20T20:18:03.033Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:18:04.901Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:18:06.138Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:18:07.388Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:18:08.156Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:18:08.949Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:18:10.204Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:18:10.575Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:18:10.944Z] 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. [2025-08-20T20:18:10.944Z] The best model improves the baseline by 14.52%. [2025-08-20T20:18:10.944Z] Top recommended movies for user id 72: [2025-08-20T20:18:10.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:18:10.944Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:18:10.944Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:18:10.944Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:18:10.944Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:18:10.944Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9356.192 ms) ====== [2025-08-20T20:18:10.944Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-20T20:18:10.944Z] GC before operation: completed in 69.439 ms, heap usage 235.945 MB -> 89.705 MB. [2025-08-20T20:18:12.733Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:18:13.967Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:18:15.225Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:18:16.472Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:18:17.730Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:18:18.532Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:18:19.309Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:18:20.098Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:18:20.099Z] 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. [2025-08-20T20:18:20.099Z] The best model improves the baseline by 14.52%. [2025-08-20T20:18:20.468Z] Top recommended movies for user id 72: [2025-08-20T20:18:20.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:18:20.468Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:18:20.468Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:18:20.468Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:18:20.468Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:18:20.468Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9293.343 ms) ====== [2025-08-20T20:18:20.468Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-20T20:18:20.468Z] GC before operation: completed in 71.352 ms, heap usage 108.991 MB -> 89.715 MB. [2025-08-20T20:18:21.709Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T20:18:23.523Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T20:18:24.775Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T20:18:26.042Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T20:18:26.827Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T20:18:27.645Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T20:18:28.464Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T20:18:29.320Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T20:18:29.695Z] 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. [2025-08-20T20:18:29.695Z] The best model improves the baseline by 14.52%. [2025-08-20T20:18:29.695Z] Top recommended movies for user id 72: [2025-08-20T20:18:29.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T20:18:29.695Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T20:18:29.695Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T20:18:29.695Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T20:18:29.695Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T20:18:29.695Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9222.265 ms) ====== [2025-08-20T20:18:30.058Z] ----------------------------------- [2025-08-20T20:18:30.058Z] renaissance-movie-lens_0_PASSED [2025-08-20T20:18:30.058Z] ----------------------------------- [2025-08-20T20:18:30.058Z] [2025-08-20T20:18:30.058Z] TEST TEARDOWN: [2025-08-20T20:18:30.058Z] Nothing to be done for teardown. [2025-08-20T20:18:30.058Z] renaissance-movie-lens_0 Finish Time: Wed Aug 20 16:18:29 2025 Epoch Time (ms): 1755721109694