[2025-10-31T17:51:49.690Z] Running test renaissance-movie-lens_0 ... [2025-10-31T17:51:49.690Z] =============================================== [2025-10-31T17:51:49.690Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 17:51:48 2025 Epoch Time (ms): 1761933108563 [2025-10-31T17:51:49.690Z] variation: NoOptions [2025-10-31T17:51:49.690Z] JVM_OPTIONS: [2025-10-31T17:51:49.690Z] { \ [2025-10-31T17:51:49.690Z] echo ""; echo "TEST SETUP:"; \ [2025-10-31T17:51:49.690Z] echo "Nothing to be done for setup."; \ [2025-10-31T17:51:49.690Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619306251678/renaissance-movie-lens_0"; \ [2025-10-31T17:51:49.690Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619306251678/renaissance-movie-lens_0"; \ [2025-10-31T17:51:49.690Z] echo ""; echo "TESTING:"; \ [2025-10-31T17:51:49.690Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619306251678/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-31T17:51:49.691Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619306251678/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-31T17:51:49.691Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-31T17:51:49.691Z] echo "Nothing to be done for teardown."; \ [2025-10-31T17:51:49.691Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619306251678/TestTargetResult"; [2025-10-31T17:51:49.691Z] [2025-10-31T17:51:49.691Z] TEST SETUP: [2025-10-31T17:51:49.691Z] Nothing to be done for setup. [2025-10-31T17:51:49.691Z] [2025-10-31T17:51:49.691Z] TESTING: [2025-10-31T17:51:49.691Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-31T17:51:49.691Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17619306251678/renaissance-movie-lens_0/launcher-175148-16785841541674124883/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-31T17:51:49.691Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-31T17:51:49.691Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-31T17:51:58.027Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-31T17:52:10.562Z] 17:52:10.271 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-31T17:52:14.766Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-31T17:52:15.731Z] Training: 60056, validation: 20285, test: 19854 [2025-10-31T17:52:15.731Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-31T17:52:15.731Z] GC before operation: completed in 186.431 ms, heap usage 183.377 MB -> 75.987 MB. [2025-10-31T17:52:25.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:52:32.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:52:37.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:52:42.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:52:45.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:52:48.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:52:51.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:52:54.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:52:54.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:52:54.349Z] The best model improves the baseline by 14.52%. [2025-10-31T17:52:55.316Z] Top recommended movies for user id 72: [2025-10-31T17:52:55.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:52:55.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:52:55.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:52:55.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:52:55.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:52:55.316Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39386.214 ms) ====== [2025-10-31T17:52:55.316Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-31T17:52:55.316Z] GC before operation: completed in 191.095 ms, heap usage 315.956 MB -> 87.856 MB. [2025-10-31T17:53:00.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:53:04.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:53:08.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:53:12.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:53:14.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:53:16.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:53:19.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:53:21.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:53:21.775Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:53:21.775Z] The best model improves the baseline by 14.52%. [2025-10-31T17:53:22.743Z] Top recommended movies for user id 72: [2025-10-31T17:53:22.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:53:22.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:53:22.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:53:22.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:53:22.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:53:22.743Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27062.038 ms) ====== [2025-10-31T17:53:22.743Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-31T17:53:22.743Z] GC before operation: completed in 181.357 ms, heap usage 198.961 MB -> 88.690 MB. [2025-10-31T17:53:26.931Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:53:29.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:53:34.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:53:38.370Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:53:40.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:53:42.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:53:44.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:53:47.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:53:47.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:53:47.353Z] The best model improves the baseline by 14.52%. [2025-10-31T17:53:47.353Z] Top recommended movies for user id 72: [2025-10-31T17:53:47.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:53:47.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:53:47.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:53:47.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:53:47.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:53:47.353Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25016.128 ms) ====== [2025-10-31T17:53:47.353Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-31T17:53:47.353Z] GC before operation: completed in 200.221 ms, heap usage 593.490 MB -> 93.239 MB. [2025-10-31T17:53:51.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:53:54.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:53:59.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:54:02.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:54:04.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:54:06.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:54:09.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:54:11.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:54:11.278Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:54:11.278Z] The best model improves the baseline by 14.52%. [2025-10-31T17:54:11.278Z] Top recommended movies for user id 72: [2025-10-31T17:54:11.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:54:11.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:54:11.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:54:11.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:54:11.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:54:11.278Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23983.911 ms) ====== [2025-10-31T17:54:11.278Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-31T17:54:12.242Z] GC before operation: completed in 186.061 ms, heap usage 260.962 MB -> 89.822 MB. [2025-10-31T17:54:16.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:54:19.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:54:23.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:54:26.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:54:28.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:54:31.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:54:33.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:54:35.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:54:35.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:54:36.646Z] The best model improves the baseline by 14.52%. [2025-10-31T17:54:36.646Z] Top recommended movies for user id 72: [2025-10-31T17:54:36.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:54:36.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:54:36.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:54:36.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:54:36.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:54:36.646Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24534.909 ms) ====== [2025-10-31T17:54:36.646Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-31T17:54:36.646Z] GC before operation: completed in 193.405 ms, heap usage 352.703 MB -> 89.954 MB. [2025-10-31T17:54:40.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:54:43.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:54:47.626Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:54:50.670Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:54:52.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:54:55.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:54:57.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:54:59.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:54:59.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:54:59.635Z] The best model improves the baseline by 14.52%. [2025-10-31T17:54:59.635Z] Top recommended movies for user id 72: [2025-10-31T17:54:59.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:54:59.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:54:59.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:54:59.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:54:59.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:54:59.635Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23294.078 ms) ====== [2025-10-31T17:54:59.635Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-31T17:55:00.599Z] GC before operation: completed in 193.889 ms, heap usage 161.598 MB -> 90.033 MB. [2025-10-31T17:55:03.641Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:55:07.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:55:10.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:55:13.915Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:55:15.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:55:17.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:55:20.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:55:22.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:55:22.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:55:22.899Z] The best model improves the baseline by 14.52%. [2025-10-31T17:55:22.899Z] Top recommended movies for user id 72: [2025-10-31T17:55:22.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:55:22.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:55:22.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:55:22.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:55:22.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:55:22.899Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22957.976 ms) ====== [2025-10-31T17:55:22.899Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-31T17:55:22.899Z] GC before operation: completed in 196.630 ms, heap usage 463.581 MB -> 90.406 MB. [2025-10-31T17:55:27.098Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:55:30.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:55:34.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:55:38.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:55:40.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:55:42.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:55:44.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:55:46.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:55:46.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:55:46.150Z] The best model improves the baseline by 14.52%. [2025-10-31T17:55:46.150Z] Top recommended movies for user id 72: [2025-10-31T17:55:46.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:55:46.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:55:46.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:55:46.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:55:46.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:55:46.150Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23260.855 ms) ====== [2025-10-31T17:55:46.150Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-31T17:55:47.110Z] GC before operation: completed in 182.184 ms, heap usage 229.110 MB -> 90.234 MB. [2025-10-31T17:55:50.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:55:54.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:55:57.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:56:00.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:56:02.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:56:04.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:56:07.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:56:09.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:56:09.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:56:09.481Z] The best model improves the baseline by 14.52%. [2025-10-31T17:56:10.442Z] Top recommended movies for user id 72: [2025-10-31T17:56:10.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:56:10.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:56:10.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:56:10.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:56:10.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:56:10.442Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23252.289 ms) ====== [2025-10-31T17:56:10.442Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-31T17:56:10.442Z] GC before operation: completed in 194.827 ms, heap usage 341.812 MB -> 90.264 MB. [2025-10-31T17:56:13.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:56:18.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:56:20.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:56:23.419Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:56:25.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:56:27.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:56:29.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:56:31.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:56:32.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:56:32.272Z] The best model improves the baseline by 14.52%. [2025-10-31T17:56:32.272Z] Top recommended movies for user id 72: [2025-10-31T17:56:32.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:56:32.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:56:32.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:56:32.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:56:32.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:56:32.272Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21922.481 ms) ====== [2025-10-31T17:56:32.272Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-31T17:56:32.272Z] GC before operation: completed in 188.840 ms, heap usage 208.093 MB -> 90.325 MB. [2025-10-31T17:56:36.467Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:56:39.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:56:42.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:56:45.623Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:56:47.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:56:49.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:56:52.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:56:54.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:56:54.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:56:54.611Z] The best model improves the baseline by 14.52%. [2025-10-31T17:56:54.611Z] Top recommended movies for user id 72: [2025-10-31T17:56:54.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:56:54.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:56:54.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:56:54.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:56:54.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:56:54.611Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22707.950 ms) ====== [2025-10-31T17:56:54.611Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-31T17:56:55.572Z] GC before operation: completed in 190.692 ms, heap usage 525.999 MB -> 93.749 MB. [2025-10-31T17:56:58.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:57:01.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:57:07.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:57:10.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:57:12.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:57:14.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:57:17.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:57:19.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:57:19.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:57:19.758Z] The best model improves the baseline by 14.52%. [2025-10-31T17:57:19.758Z] Top recommended movies for user id 72: [2025-10-31T17:57:19.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:57:19.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:57:19.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:57:19.758Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:57:19.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:57:19.758Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24880.002 ms) ====== [2025-10-31T17:57:19.758Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-31T17:57:20.725Z] GC before operation: completed in 191.579 ms, heap usage 490.606 MB -> 91.566 MB. [2025-10-31T17:57:23.776Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:57:26.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:57:31.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:57:34.142Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:57:36.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:57:38.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:57:41.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:57:43.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:57:43.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:57:43.112Z] The best model improves the baseline by 14.52%. [2025-10-31T17:57:43.112Z] Top recommended movies for user id 72: [2025-10-31T17:57:43.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:57:43.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:57:43.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:57:43.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:57:43.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:57:43.112Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23263.069 ms) ====== [2025-10-31T17:57:43.112Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-31T17:57:44.069Z] GC before operation: completed in 187.824 ms, heap usage 139.482 MB -> 91.549 MB. [2025-10-31T17:57:48.268Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:57:51.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:57:54.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:57:58.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:58:01.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:58:03.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:58:05.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:58:08.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:58:08.115Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:58:08.115Z] The best model improves the baseline by 14.52%. [2025-10-31T17:58:08.115Z] Top recommended movies for user id 72: [2025-10-31T17:58:08.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:58:08.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:58:08.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:58:08.115Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:58:08.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:58:08.115Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24720.570 ms) ====== [2025-10-31T17:58:08.115Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-31T17:58:09.073Z] GC before operation: completed in 197.615 ms, heap usage 101.550 MB -> 94.295 MB. [2025-10-31T17:58:13.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:58:16.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:58:20.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:58:24.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:58:26.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:58:29.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:58:31.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:58:33.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:58:34.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:58:34.672Z] The best model improves the baseline by 14.52%. [2025-10-31T17:58:34.672Z] Top recommended movies for user id 72: [2025-10-31T17:58:34.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:58:34.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:58:34.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:58:34.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:58:34.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:58:34.672Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26280.477 ms) ====== [2025-10-31T17:58:34.672Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-31T17:58:34.672Z] GC before operation: completed in 199.036 ms, heap usage 295.759 MB -> 91.444 MB. [2025-10-31T17:58:38.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:58:43.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:58:47.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:58:50.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:58:53.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:58:54.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:58:58.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:59:00.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:59:00.000Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:59:00.000Z] The best model improves the baseline by 14.52%. [2025-10-31T17:59:01.092Z] Top recommended movies for user id 72: [2025-10-31T17:59:01.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:59:01.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:59:01.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:59:01.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:59:01.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:59:01.092Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25413.926 ms) ====== [2025-10-31T17:59:01.092Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-31T17:59:01.092Z] GC before operation: completed in 204.260 ms, heap usage 291.148 MB -> 91.275 MB. [2025-10-31T17:59:04.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:59:08.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:59:12.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:59:15.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:59:17.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:59:19.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:59:22.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:59:24.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:59:24.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:59:24.605Z] The best model improves the baseline by 14.52%. [2025-10-31T17:59:24.605Z] Top recommended movies for user id 72: [2025-10-31T17:59:24.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:59:24.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:59:24.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:59:24.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:59:24.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:59:24.605Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24267.213 ms) ====== [2025-10-31T17:59:24.605Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-31T17:59:25.568Z] GC before operation: completed in 193.285 ms, heap usage 444.259 MB -> 91.620 MB. [2025-10-31T17:59:28.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:59:32.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T17:59:35.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T17:59:39.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T17:59:42.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T17:59:44.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T17:59:47.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T17:59:49.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T17:59:49.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T17:59:49.329Z] The best model improves the baseline by 14.52%. [2025-10-31T17:59:49.329Z] Top recommended movies for user id 72: [2025-10-31T17:59:49.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T17:59:49.329Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T17:59:49.329Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T17:59:49.329Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T17:59:49.329Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T17:59:49.329Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24565.349 ms) ====== [2025-10-31T17:59:49.329Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-31T17:59:50.289Z] GC before operation: completed in 214.686 ms, heap usage 115.674 MB -> 91.856 MB. [2025-10-31T17:59:53.339Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T17:59:57.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T18:00:00.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T18:00:04.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T18:00:06.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T18:00:08.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T18:00:10.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T18:00:12.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T18:00:13.678Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T18:00:13.678Z] The best model improves the baseline by 14.52%. [2025-10-31T18:00:13.678Z] Top recommended movies for user id 72: [2025-10-31T18:00:13.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T18:00:13.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T18:00:13.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T18:00:13.678Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T18:00:13.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T18:00:13.678Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23663.617 ms) ====== [2025-10-31T18:00:13.678Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-31T18:00:13.678Z] GC before operation: completed in 192.115 ms, heap usage 299.605 MB -> 91.363 MB. [2025-10-31T18:00:17.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T18:00:20.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T18:00:25.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T18:00:29.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T18:00:30.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T18:00:32.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T18:00:34.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T18:00:36.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T18:00:36.732Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T18:00:36.732Z] The best model improves the baseline by 14.52%. [2025-10-31T18:00:36.732Z] Top recommended movies for user id 72: [2025-10-31T18:00:36.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T18:00:36.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T18:00:36.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T18:00:36.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T18:00:36.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T18:00:36.732Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23371.626 ms) ====== [2025-10-31T18:00:38.705Z] ----------------------------------- [2025-10-31T18:00:38.705Z] renaissance-movie-lens_0_PASSED [2025-10-31T18:00:38.705Z] ----------------------------------- [2025-10-31T18:00:38.705Z] [2025-10-31T18:00:38.705Z] TEST TEARDOWN: [2025-10-31T18:00:38.705Z] Nothing to be done for teardown. [2025-10-31T18:00:38.705Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 18:00:37 2025 Epoch Time (ms): 1761933637954