[2025-08-27T22:53:01.010Z] Running test renaissance-movie-lens_0 ... [2025-08-27T22:53:01.010Z] =============================================== [2025-08-27T22:53:01.010Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 18:53:00 2025 Epoch Time (ms): 1756335180863 [2025-08-27T22:53:01.010Z] variation: NoOptions [2025-08-27T22:53:01.010Z] JVM_OPTIONS: [2025-08-27T22:53:01.010Z] { \ [2025-08-27T22:53:01.010Z] echo ""; echo "TEST SETUP:"; \ [2025-08-27T22:53:01.010Z] echo "Nothing to be done for setup."; \ [2025-08-27T22:53:01.010Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756334202885/renaissance-movie-lens_0"; \ [2025-08-27T22:53:01.010Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756334202885/renaissance-movie-lens_0"; \ [2025-08-27T22:53:01.010Z] echo ""; echo "TESTING:"; \ [2025-08-27T22:53:01.010Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756334202885/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-27T22:53:01.010Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756334202885/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-27T22:53:01.010Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-27T22:53:01.010Z] echo "Nothing to be done for teardown."; \ [2025-08-27T22:53:01.010Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1756334202885/TestTargetResult"; [2025-08-27T22:53:01.010Z] [2025-08-27T22:53:01.010Z] TEST SETUP: [2025-08-27T22:53:01.010Z] Nothing to be done for setup. [2025-08-27T22:53:01.010Z] [2025-08-27T22:53:01.010Z] TESTING: [2025-08-27T22:53:04.175Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-27T22:53:07.282Z] 18:53:07.066 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. [2025-08-27T22:53:08.523Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-27T22:53:08.523Z] Training: 60056, validation: 20285, test: 19854 [2025-08-27T22:53:08.523Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-27T22:53:08.523Z] GC before operation: completed in 58.534 ms, heap usage 165.619 MB -> 74.425 MB. [2025-08-27T22:53:11.640Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:53:14.055Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:53:15.865Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:53:17.082Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:53:18.318Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:53:19.577Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:53:20.357Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:53:21.579Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:53:21.579Z] 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. [2025-08-27T22:53:21.579Z] The best model improves the baseline by 14.52%. [2025-08-27T22:53:21.579Z] Top recommended movies for user id 72: [2025-08-27T22:53:21.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:53:21.579Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:53:21.579Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:53:21.579Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:53:21.579Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:53:21.579Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12974.938 ms) ====== [2025-08-27T22:53:21.579Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-27T22:53:21.579Z] GC before operation: completed in 87.245 ms, heap usage 126.872 MB -> 85.048 MB. [2025-08-27T22:53:23.429Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:53:24.679Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:53:26.467Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:53:27.770Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:53:28.525Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:53:29.794Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:53:30.550Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:53:31.319Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:53:31.670Z] 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. [2025-08-27T22:53:31.670Z] The best model improves the baseline by 14.52%. [2025-08-27T22:53:31.670Z] Top recommended movies for user id 72: [2025-08-27T22:53:31.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:53:31.670Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:53:31.670Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:53:31.670Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:53:31.670Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:53:31.670Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10006.625 ms) ====== [2025-08-27T22:53:31.670Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-27T22:53:31.670Z] GC before operation: completed in 70.543 ms, heap usage 197.542 MB -> 87.114 MB. [2025-08-27T22:53:33.450Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:53:34.669Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:53:35.998Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:53:37.769Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:53:38.535Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:53:39.291Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:53:40.069Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:53:40.838Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:53:40.838Z] 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. [2025-08-27T22:53:40.838Z] The best model improves the baseline by 14.52%. [2025-08-27T22:53:40.838Z] Top recommended movies for user id 72: [2025-08-27T22:53:40.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:53:40.838Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:53:40.838Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:53:40.838Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:53:40.838Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:53:40.838Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9150.245 ms) ====== [2025-08-27T22:53:40.838Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-27T22:53:40.838Z] GC before operation: completed in 60.844 ms, heap usage 290.336 MB -> 87.910 MB. [2025-08-27T22:53:42.613Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:53:43.829Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:53:45.040Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:53:46.834Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:53:47.600Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:53:48.359Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:53:49.161Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:53:49.940Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:53:50.299Z] 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. [2025-08-27T22:53:50.299Z] The best model improves the baseline by 14.52%. [2025-08-27T22:53:50.299Z] Top recommended movies for user id 72: [2025-08-27T22:53:50.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:53:50.299Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:53:50.299Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:53:50.299Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:53:50.299Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:53:50.299Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9261.902 ms) ====== [2025-08-27T22:53:50.299Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-27T22:53:50.299Z] GC before operation: completed in 74.538 ms, heap usage 154.682 MB -> 88.027 MB. [2025-08-27T22:53:52.083Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:53:53.304Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:53:54.523Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:53:55.812Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:53:56.572Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:53:57.334Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:53:58.095Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:53:58.844Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:53:58.844Z] 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. [2025-08-27T22:53:58.844Z] The best model improves the baseline by 14.52%. [2025-08-27T22:53:59.193Z] Top recommended movies for user id 72: [2025-08-27T22:53:59.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:53:59.193Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:53:59.193Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:53:59.193Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:53:59.193Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:53:59.193Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8680.916 ms) ====== [2025-08-27T22:53:59.193Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-27T22:53:59.193Z] GC before operation: completed in 61.191 ms, heap usage 155.008 MB -> 87.964 MB. [2025-08-27T22:54:00.412Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:01.645Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:03.438Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:04.202Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:04.960Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:05.728Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:06.504Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:07.284Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:07.638Z] 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. [2025-08-27T22:54:07.638Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:07.638Z] Top recommended movies for user id 72: [2025-08-27T22:54:07.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:07.638Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:07.638Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:07.638Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:07.638Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:07.638Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8569.543 ms) ====== [2025-08-27T22:54:07.638Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-27T22:54:07.638Z] GC before operation: completed in 64.162 ms, heap usage 154.603 MB -> 88.266 MB. [2025-08-27T22:54:08.863Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:10.649Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:11.986Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:13.240Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:14.012Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:14.800Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:15.580Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:16.345Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:16.345Z] 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. [2025-08-27T22:54:16.345Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:16.345Z] Top recommended movies for user id 72: [2025-08-27T22:54:16.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:16.345Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:16.345Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:16.345Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:16.345Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:16.345Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8758.111 ms) ====== [2025-08-27T22:54:16.345Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-27T22:54:16.693Z] GC before operation: completed in 66.431 ms, heap usage 266.809 MB -> 88.324 MB. [2025-08-27T22:54:17.940Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:19.188Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:20.419Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:21.650Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:22.903Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:23.672Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:24.449Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:25.209Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:25.209Z] 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. [2025-08-27T22:54:25.209Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:25.560Z] Top recommended movies for user id 72: [2025-08-27T22:54:25.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:25.560Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:25.560Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:25.560Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:25.560Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:25.560Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8864.582 ms) ====== [2025-08-27T22:54:25.560Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-27T22:54:25.560Z] GC before operation: completed in 60.606 ms, heap usage 329.887 MB -> 88.566 MB. [2025-08-27T22:54:26.788Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:28.018Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:29.255Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:31.060Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:31.819Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:32.576Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:33.344Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:34.160Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:34.516Z] 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. [2025-08-27T22:54:34.516Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:34.516Z] Top recommended movies for user id 72: [2025-08-27T22:54:34.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:34.516Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:34.516Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:34.516Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:34.516Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:34.516Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8935.432 ms) ====== [2025-08-27T22:54:34.516Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-27T22:54:34.516Z] GC before operation: completed in 63.632 ms, heap usage 336.039 MB -> 88.547 MB. [2025-08-27T22:54:35.730Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:36.985Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:38.755Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:39.979Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:40.352Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:41.134Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:41.911Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:42.700Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:43.051Z] 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. [2025-08-27T22:54:43.051Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:43.051Z] Top recommended movies for user id 72: [2025-08-27T22:54:43.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:43.051Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:43.051Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:43.051Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:43.051Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:43.051Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8517.041 ms) ====== [2025-08-27T22:54:43.051Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-27T22:54:43.051Z] GC before operation: completed in 58.673 ms, heap usage 209.114 MB -> 88.587 MB. [2025-08-27T22:54:44.283Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:45.505Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:46.734Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:47.966Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:49.189Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:50.076Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:50.833Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:51.621Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:51.982Z] 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. [2025-08-27T22:54:51.982Z] The best model improves the baseline by 14.52%. [2025-08-27T22:54:51.982Z] Top recommended movies for user id 72: [2025-08-27T22:54:51.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:54:51.982Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:54:51.982Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:54:51.982Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:54:51.982Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:54:51.982Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8883.917 ms) ====== [2025-08-27T22:54:51.982Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-27T22:54:51.982Z] GC before operation: completed in 64.668 ms, heap usage 229.861 MB -> 88.355 MB. [2025-08-27T22:54:53.211Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:54:54.461Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:54:55.719Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:54:56.939Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:54:57.694Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:54:58.456Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:54:59.212Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:54:59.988Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:54:59.988Z] 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. [2025-08-27T22:54:59.988Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:00.359Z] Top recommended movies for user id 72: [2025-08-27T22:55:00.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:00.359Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:00.359Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:00.359Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:00.359Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:00.359Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8197.432 ms) ====== [2025-08-27T22:55:00.359Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-27T22:55:00.359Z] GC before operation: completed in 64.399 ms, heap usage 403.746 MB -> 88.842 MB. [2025-08-27T22:55:01.640Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:03.432Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:04.216Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:05.456Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:06.242Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:55:07.033Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:55:07.791Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:55:08.558Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:55:08.558Z] 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. [2025-08-27T22:55:08.558Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:08.908Z] Top recommended movies for user id 72: [2025-08-27T22:55:08.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:08.908Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:08.908Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:08.908Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:08.908Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:08.908Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8501.137 ms) ====== [2025-08-27T22:55:08.908Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-27T22:55:08.908Z] GC before operation: completed in 69.501 ms, heap usage 157.764 MB -> 88.578 MB. [2025-08-27T22:55:10.148Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:11.410Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:13.165Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:14.422Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:15.215Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:55:16.000Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:55:17.309Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:55:18.097Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:55:18.097Z] 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. [2025-08-27T22:55:18.097Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:18.097Z] Top recommended movies for user id 72: [2025-08-27T22:55:18.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:18.098Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:18.098Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:18.098Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:18.098Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:18.098Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9331.918 ms) ====== [2025-08-27T22:55:18.098Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-27T22:55:18.098Z] GC before operation: completed in 65.890 ms, heap usage 189.341 MB -> 88.395 MB. [2025-08-27T22:55:19.945Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:21.166Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:22.439Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:24.198Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:24.961Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:55:25.737Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:55:26.969Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:55:28.199Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:55:28.199Z] 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. [2025-08-27T22:55:28.199Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:28.199Z] Top recommended movies for user id 72: [2025-08-27T22:55:28.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:28.199Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:28.199Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:28.199Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:28.199Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:28.199Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9982.102 ms) ====== [2025-08-27T22:55:28.199Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-27T22:55:28.199Z] GC before operation: completed in 91.018 ms, heap usage 197.900 MB -> 88.607 MB. [2025-08-27T22:55:29.972Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:31.725Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:33.500Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:35.314Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:36.552Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:55:37.378Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:55:38.626Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:55:39.454Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:55:39.814Z] 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. [2025-08-27T22:55:39.814Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:39.814Z] Top recommended movies for user id 72: [2025-08-27T22:55:39.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:39.814Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:39.814Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:39.814Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:39.814Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:39.814Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11507.101 ms) ====== [2025-08-27T22:55:39.814Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-27T22:55:39.814Z] GC before operation: completed in 80.373 ms, heap usage 154.697 MB -> 88.467 MB. [2025-08-27T22:55:41.617Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:43.413Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:45.185Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:46.950Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:47.715Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:55:48.952Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:55:49.751Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:55:51.010Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:55:51.010Z] 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. [2025-08-27T22:55:51.010Z] The best model improves the baseline by 14.52%. [2025-08-27T22:55:51.010Z] Top recommended movies for user id 72: [2025-08-27T22:55:51.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:55:51.010Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:55:51.010Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:55:51.010Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:55:51.010Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:55:51.010Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11230.060 ms) ====== [2025-08-27T22:55:51.010Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-27T22:55:51.364Z] GC before operation: completed in 82.767 ms, heap usage 416.951 MB -> 88.920 MB. [2025-08-27T22:55:53.115Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:55:54.911Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:55:56.712Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:55:57.926Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:55:59.162Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:56:00.447Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:56:01.224Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:56:02.475Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:56:02.475Z] 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. [2025-08-27T22:56:02.837Z] The best model improves the baseline by 14.52%. [2025-08-27T22:56:02.837Z] Top recommended movies for user id 72: [2025-08-27T22:56:02.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:56:02.837Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:56:02.837Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:56:02.837Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:56:02.837Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:56:02.837Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11569.623 ms) ====== [2025-08-27T22:56:02.837Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-27T22:56:02.837Z] GC before operation: completed in 88.761 ms, heap usage 197.656 MB -> 88.428 MB. [2025-08-27T22:56:04.645Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:56:06.434Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:56:08.339Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:56:09.579Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:56:10.809Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:56:11.621Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:56:12.849Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:56:13.625Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:56:14.008Z] 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. [2025-08-27T22:56:14.008Z] The best model improves the baseline by 14.52%. [2025-08-27T22:56:14.008Z] Top recommended movies for user id 72: [2025-08-27T22:56:14.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:56:14.008Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:56:14.008Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:56:14.008Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:56:14.008Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:56:14.008Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11181.261 ms) ====== [2025-08-27T22:56:14.008Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-27T22:56:14.008Z] GC before operation: completed in 85.755 ms, heap usage 181.317 MB -> 88.553 MB. [2025-08-27T22:56:15.772Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:56:17.541Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:56:19.363Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:56:20.600Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:56:21.844Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:56:23.083Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:56:23.889Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:56:25.116Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:56:25.116Z] 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. [2025-08-27T22:56:25.116Z] The best model improves the baseline by 14.52%. [2025-08-27T22:56:25.116Z] Top recommended movies for user id 72: [2025-08-27T22:56:25.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-27T22:56:25.116Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-27T22:56:25.116Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-27T22:56:25.116Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-27T22:56:25.116Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-27T22:56:25.116Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11044.828 ms) ====== [2025-08-27T22:56:25.469Z] ----------------------------------- [2025-08-27T22:56:25.469Z] renaissance-movie-lens_0_PASSED [2025-08-27T22:56:25.469Z] ----------------------------------- [2025-08-27T22:56:25.469Z] [2025-08-27T22:56:25.469Z] TEST TEARDOWN: [2025-08-27T22:56:25.469Z] Nothing to be done for teardown. [2025-08-27T22:56:25.469Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 18:56:25 2025 Epoch Time (ms): 1756335385355