[2025-12-06T14:13:47.589Z] Running test renaissance-movie-lens_0 ... [2025-12-06T14:13:47.589Z] =============================================== [2025-12-06T14:13:47.589Z] renaissance-movie-lens_0 Start Time: Sat Dec 6 14:13:47 2025 Epoch Time (ms): 1765030427458 [2025-12-06T14:13:47.589Z] variation: NoOptions [2025-12-06T14:13:47.589Z] JVM_OPTIONS: [2025-12-06T14:13:47.589Z] { \ [2025-12-06T14:13:47.589Z] echo ""; echo "TEST SETUP:"; \ [2025-12-06T14:13:47.589Z] echo "Nothing to be done for setup."; \ [2025-12-06T14:13:47.589Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17650288499266/renaissance-movie-lens_0"; \ [2025-12-06T14:13:47.589Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17650288499266/renaissance-movie-lens_0"; \ [2025-12-06T14:13:47.589Z] echo ""; echo "TESTING:"; \ [2025-12-06T14:13:47.589Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17650288499266/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-06T14:13:47.589Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17650288499266/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-06T14:13:47.589Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-06T14:13:47.589Z] echo "Nothing to be done for teardown."; \ [2025-12-06T14:13:47.589Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17650288499266/TestTargetResult"; [2025-12-06T14:13:47.589Z] [2025-12-06T14:13:47.589Z] TEST SETUP: [2025-12-06T14:13:47.589Z] Nothing to be done for setup. [2025-12-06T14:13:47.589Z] [2025-12-06T14:13:47.589Z] TESTING: [2025-12-06T14:13:48.272Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-06T14:13:48.272Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17650288499266/renaissance-movie-lens_0/launcher-141347-13511711586080574968/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-06T14:13:48.272Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-06T14:13:48.272Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-06T14:13:52.946Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-06T14:14:00.038Z] 14:13:58.871 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-06T14:14:02.208Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-06T14:14:02.881Z] Training: 60056, validation: 20285, test: 19854 [2025-12-06T14:14:02.881Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-06T14:14:02.881Z] GC before operation: completed in 151.648 ms, heap usage 169.697 MB -> 75.519 MB. [2025-12-06T14:14:10.007Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:14:14.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:14:18.280Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:14:21.198Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:14:25.806Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:14:27.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:14:28.990Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:14:30.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:14:30.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:14:30.922Z] The best model improves the baseline by 14.34%. [2025-12-06T14:14:31.247Z] Top recommended movies for user id 72: [2025-12-06T14:14:31.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:14:31.247Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:14:31.247Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:14:31.247Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:14:31.247Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:14:31.247Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28231.641 ms) ====== [2025-12-06T14:14:31.247Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-06T14:14:31.247Z] GC before operation: completed in 150.086 ms, heap usage 245.961 MB -> 89.256 MB. [2025-12-06T14:14:34.111Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:14:36.979Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:14:39.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:14:41.415Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:14:43.071Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:14:44.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:14:45.759Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:14:47.356Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:14:47.356Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:14:47.356Z] The best model improves the baseline by 14.34%. [2025-12-06T14:14:47.356Z] Top recommended movies for user id 72: [2025-12-06T14:14:47.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:14:47.356Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:14:47.356Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:14:47.356Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:14:47.356Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:14:47.356Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16165.138 ms) ====== [2025-12-06T14:14:47.356Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-06T14:14:47.669Z] GC before operation: completed in 144.619 ms, heap usage 228.570 MB -> 87.715 MB. [2025-12-06T14:14:50.526Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:14:52.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:14:54.878Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:14:57.056Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:14:58.653Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:14:59.748Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:15:01.343Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:15:02.940Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:15:02.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:15:02.940Z] The best model improves the baseline by 14.34%. [2025-12-06T14:15:03.256Z] Top recommended movies for user id 72: [2025-12-06T14:15:03.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:15:03.256Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:15:03.256Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:15:03.257Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:15:03.257Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:15:03.257Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15587.362 ms) ====== [2025-12-06T14:15:03.257Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-06T14:15:03.257Z] GC before operation: completed in 155.770 ms, heap usage 495.996 MB -> 91.910 MB. [2025-12-06T14:15:06.141Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:15:07.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:15:10.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:15:12.179Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:15:13.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:15:14.861Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:15:15.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:15:17.557Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:15:17.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:15:17.557Z] The best model improves the baseline by 14.34%. [2025-12-06T14:15:17.871Z] Top recommended movies for user id 72: [2025-12-06T14:15:17.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:15:17.871Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:15:17.871Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:15:17.871Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:15:17.871Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:15:17.871Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14406.688 ms) ====== [2025-12-06T14:15:17.871Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-06T14:15:17.871Z] GC before operation: completed in 138.549 ms, heap usage 211.742 MB -> 88.543 MB. [2025-12-06T14:15:20.049Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:15:22.221Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:15:25.141Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:15:26.741Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:15:27.840Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:15:29.435Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:15:30.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:15:32.130Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:15:32.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:15:32.130Z] The best model improves the baseline by 14.34%. [2025-12-06T14:15:32.130Z] Top recommended movies for user id 72: [2025-12-06T14:15:32.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:15:32.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:15:32.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:15:32.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:15:32.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:15:32.130Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14305.232 ms) ====== [2025-12-06T14:15:32.130Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-06T14:15:32.443Z] GC before operation: completed in 139.073 ms, heap usage 590.846 MB -> 92.417 MB. [2025-12-06T14:15:34.619Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:15:36.870Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:15:39.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:15:40.639Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:15:42.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:15:43.829Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:15:44.991Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:15:46.089Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:15:46.417Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:15:46.417Z] The best model improves the baseline by 14.34%. [2025-12-06T14:15:46.417Z] Top recommended movies for user id 72: [2025-12-06T14:15:46.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:15:46.417Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:15:46.417Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:15:46.417Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:15:46.417Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:15:46.417Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14178.485 ms) ====== [2025-12-06T14:15:46.417Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-06T14:15:46.729Z] GC before operation: completed in 122.153 ms, heap usage 147.607 MB -> 88.874 MB. [2025-12-06T14:15:48.908Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:15:51.090Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:15:53.274Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:15:55.443Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:15:56.543Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:15:57.642Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:15:59.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:16:00.346Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:16:00.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:16:00.668Z] The best model improves the baseline by 14.34%. [2025-12-06T14:16:01.000Z] Top recommended movies for user id 72: [2025-12-06T14:16:01.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:16:01.000Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:16:01.000Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:16:01.000Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:16:01.000Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:16:01.000Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14195.099 ms) ====== [2025-12-06T14:16:01.000Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-06T14:16:01.000Z] GC before operation: completed in 126.807 ms, heap usage 401.468 MB -> 89.192 MB. [2025-12-06T14:16:03.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:16:05.391Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:16:07.645Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:16:09.248Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:16:10.354Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:16:11.955Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:16:13.049Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:16:14.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:16:14.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:16:14.642Z] The best model improves the baseline by 14.34%. [2025-12-06T14:16:14.642Z] Top recommended movies for user id 72: [2025-12-06T14:16:14.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:16:14.642Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:16:14.642Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:16:14.642Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:16:14.642Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:16:14.642Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13719.920 ms) ====== [2025-12-06T14:16:14.642Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-06T14:16:14.956Z] GC before operation: completed in 124.231 ms, heap usage 179.501 MB -> 89.111 MB. [2025-12-06T14:16:17.128Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:16:19.295Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:16:21.463Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:16:23.052Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:16:24.645Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:16:25.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:16:26.897Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:16:28.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:16:28.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:16:28.484Z] The best model improves the baseline by 14.34%. [2025-12-06T14:16:28.484Z] Top recommended movies for user id 72: [2025-12-06T14:16:28.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:16:28.484Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:16:28.484Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:16:28.484Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:16:28.484Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:16:28.484Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13741.682 ms) ====== [2025-12-06T14:16:28.484Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-06T14:16:28.795Z] GC before operation: completed in 133.681 ms, heap usage 570.005 MB -> 92.766 MB. [2025-12-06T14:16:30.965Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:16:33.131Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:16:35.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:16:36.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:16:38.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:16:39.631Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:16:40.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:16:41.825Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:16:42.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:16:42.138Z] The best model improves the baseline by 14.34%. [2025-12-06T14:16:42.453Z] Top recommended movies for user id 72: [2025-12-06T14:16:42.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:16:42.453Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:16:42.453Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:16:42.453Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:16:42.453Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:16:42.453Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13628.838 ms) ====== [2025-12-06T14:16:42.453Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-06T14:16:42.453Z] GC before operation: completed in 119.088 ms, heap usage 306.522 MB -> 89.404 MB. [2025-12-06T14:16:44.625Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:16:46.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:16:49.032Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:16:50.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:16:52.217Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:16:53.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:16:54.901Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:16:55.580Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:16:55.898Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:16:55.898Z] The best model improves the baseline by 14.34%. [2025-12-06T14:16:56.215Z] Top recommended movies for user id 72: [2025-12-06T14:16:56.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:16:56.215Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:16:56.215Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:16:56.215Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:16:56.215Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:16:56.215Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13591.407 ms) ====== [2025-12-06T14:16:56.215Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-06T14:16:56.215Z] GC before operation: completed in 112.696 ms, heap usage 165.592 MB -> 88.933 MB. [2025-12-06T14:16:58.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:16:59.982Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:17:02.190Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:17:04.383Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:17:05.074Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:17:06.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:17:07.856Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:17:08.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:17:08.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:17:08.953Z] The best model improves the baseline by 14.34%. [2025-12-06T14:17:09.267Z] Top recommended movies for user id 72: [2025-12-06T14:17:09.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:17:09.267Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:17:09.267Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:17:09.267Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:17:09.267Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:17:09.267Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12991.503 ms) ====== [2025-12-06T14:17:09.267Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-06T14:17:09.267Z] GC before operation: completed in 115.425 ms, heap usage 168.532 MB -> 89.060 MB. [2025-12-06T14:17:11.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:17:13.601Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:17:15.188Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:17:17.354Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:17:18.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:17:19.542Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:17:20.676Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:17:22.265Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:17:22.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:17:22.265Z] The best model improves the baseline by 14.34%. [2025-12-06T14:17:22.695Z] Top recommended movies for user id 72: [2025-12-06T14:17:22.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:17:22.695Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:17:22.695Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:17:22.695Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:17:22.695Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:17:22.695Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13218.250 ms) ====== [2025-12-06T14:17:22.695Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-06T14:17:22.695Z] GC before operation: completed in 121.922 ms, heap usage 595.523 MB -> 93.136 MB. [2025-12-06T14:17:24.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:17:27.123Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:17:29.290Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:17:30.876Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:17:32.466Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:17:33.158Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:17:34.744Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:17:35.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:17:35.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:17:35.850Z] The best model improves the baseline by 14.34%. [2025-12-06T14:17:36.164Z] Top recommended movies for user id 72: [2025-12-06T14:17:36.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:17:36.164Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:17:36.164Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:17:36.164Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:17:36.164Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:17:36.164Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13475.227 ms) ====== [2025-12-06T14:17:36.164Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-06T14:17:36.164Z] GC before operation: completed in 120.325 ms, heap usage 383.303 MB -> 89.433 MB. [2025-12-06T14:17:38.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:17:40.495Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:17:42.086Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:17:44.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:17:45.342Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:17:46.521Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:17:47.616Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:17:48.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:17:48.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:17:49.028Z] The best model improves the baseline by 14.34%. [2025-12-06T14:17:49.028Z] Top recommended movies for user id 72: [2025-12-06T14:17:49.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:17:49.028Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:17:49.028Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:17:49.028Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:17:49.028Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:17:49.028Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12792.491 ms) ====== [2025-12-06T14:17:49.028Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-06T14:17:49.028Z] GC before operation: completed in 115.816 ms, heap usage 116.111 MB -> 92.971 MB. [2025-12-06T14:17:51.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:17:53.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:17:55.542Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:17:57.133Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:17:58.225Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:17:59.322Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:18:00.416Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:18:02.019Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:18:02.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:18:02.019Z] The best model improves the baseline by 14.34%. [2025-12-06T14:18:02.019Z] Top recommended movies for user id 72: [2025-12-06T14:18:02.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:18:02.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:18:02.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:18:02.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:18:02.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:18:02.019Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12882.477 ms) ====== [2025-12-06T14:18:02.019Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-06T14:18:02.019Z] GC before operation: completed in 125.565 ms, heap usage 544.281 MB -> 92.947 MB. [2025-12-06T14:18:04.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:18:06.356Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:18:08.020Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:18:10.188Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:18:10.861Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:18:12.448Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:18:13.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:18:14.638Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:18:14.638Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:18:14.638Z] The best model improves the baseline by 14.34%. [2025-12-06T14:18:14.949Z] Top recommended movies for user id 72: [2025-12-06T14:18:14.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:18:14.949Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:18:14.949Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:18:14.949Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:18:14.949Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:18:14.949Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12687.921 ms) ====== [2025-12-06T14:18:14.949Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-06T14:18:14.949Z] GC before operation: completed in 115.700 ms, heap usage 219.054 MB -> 89.297 MB. [2025-12-06T14:18:17.116Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:18:19.287Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:18:21.458Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:18:23.047Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:18:24.148Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:18:25.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:18:26.339Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:18:27.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:18:27.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:18:27.817Z] The best model improves the baseline by 14.34%. [2025-12-06T14:18:27.817Z] Top recommended movies for user id 72: [2025-12-06T14:18:27.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:18:27.817Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:18:27.817Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:18:27.817Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:18:27.817Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:18:27.817Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13012.693 ms) ====== [2025-12-06T14:18:27.817Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-06T14:18:28.132Z] GC before operation: completed in 117.939 ms, heap usage 406.770 MB -> 89.435 MB. [2025-12-06T14:18:30.312Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:18:31.902Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:18:34.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:18:36.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:18:36.929Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:18:38.027Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:18:39.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:18:40.717Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:18:40.717Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:18:40.717Z] The best model improves the baseline by 14.34%. [2025-12-06T14:18:40.717Z] Top recommended movies for user id 72: [2025-12-06T14:18:40.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:18:40.717Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:18:40.717Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:18:40.717Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:18:40.717Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:18:40.717Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12761.122 ms) ====== [2025-12-06T14:18:40.717Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-06T14:18:41.029Z] GC before operation: completed in 111.660 ms, heap usage 223.786 MB -> 89.262 MB. [2025-12-06T14:18:43.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:18:44.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:18:47.041Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:18:48.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:18:49.726Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:18:50.825Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:18:52.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:18:53.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:18:53.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-06T14:18:53.405Z] The best model improves the baseline by 14.34%. [2025-12-06T14:18:53.717Z] Top recommended movies for user id 72: [2025-12-06T14:18:53.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:18:53.717Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:18:53.717Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:18:53.717Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:18:53.717Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:18:53.717Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12648.084 ms) ====== [2025-12-06T14:18:54.030Z] ----------------------------------- [2025-12-06T14:18:54.030Z] renaissance-movie-lens_0_PASSED [2025-12-06T14:18:54.030Z] ----------------------------------- [2025-12-06T14:18:54.030Z] [2025-12-06T14:18:54.030Z] TEST TEARDOWN: [2025-12-06T14:18:54.030Z] Nothing to be done for teardown. [2025-12-06T14:18:54.030Z] renaissance-movie-lens_0 Finish Time: Sat Dec 6 14:18:54 2025 Epoch Time (ms): 1765030734021