[2025-11-03T10:47:58.554Z] Running test renaissance-movie-lens_0 ... [2025-11-03T10:47:58.554Z] =============================================== [2025-11-03T10:47:58.554Z] renaissance-movie-lens_0 Start Time: Mon Nov 3 10:47:58 2025 Epoch Time (ms): 1762166878076 [2025-11-03T10:47:58.554Z] variation: NoOptions [2025-11-03T10:47:58.554Z] JVM_OPTIONS: [2025-11-03T10:47:58.554Z] { \ [2025-11-03T10:47:58.554Z] echo ""; echo "TEST SETUP:"; \ [2025-11-03T10:47:58.554Z] echo "Nothing to be done for setup."; \ [2025-11-03T10:47:58.554Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17621655009371/renaissance-movie-lens_0"; \ [2025-11-03T10:47:58.554Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17621655009371/renaissance-movie-lens_0"; \ [2025-11-03T10:47:58.554Z] echo ""; echo "TESTING:"; \ [2025-11-03T10:47:58.554Z] "/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_17621655009371/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-03T10:47:58.554Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17621655009371/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-03T10:47:58.554Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-03T10:47:58.554Z] echo "Nothing to be done for teardown."; \ [2025-11-03T10:47:58.554Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17621655009371/TestTargetResult"; [2025-11-03T10:47:58.554Z] [2025-11-03T10:47:58.554Z] TEST SETUP: [2025-11-03T10:47:58.554Z] Nothing to be done for setup. [2025-11-03T10:47:58.554Z] [2025-11-03T10:47:58.554Z] TESTING: [2025-11-03T10:47:59.505Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-11-03T10:47:59.505Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17621655009371/renaissance-movie-lens_0/launcher-104758-11872178215114490434/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-11-03T10:47:59.506Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-11-03T10:47:59.506Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-11-03T10:48:04.352Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-03T10:48:11.047Z] 10:48:10.921 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-03T10:48:14.072Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-03T10:48:14.072Z] Training: 60056, validation: 20285, test: 19854 [2025-11-03T10:48:14.072Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-03T10:48:14.072Z] GC before operation: completed in 102.471 ms, heap usage 189.328 MB -> 75.883 MB. [2025-11-03T10:48:19.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:48:22.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:48:25.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:48:28.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:48:29.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:48:31.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:48:33.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:48:34.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:48:35.299Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-03T10:48:35.299Z] The best model improves the baseline by 14.52%. [2025-11-03T10:48:35.299Z] Top recommended movies for user id 72: [2025-11-03T10:48:35.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:48:35.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:48:35.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:48:35.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:48:35.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:48:35.299Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21156.868 ms) ====== [2025-11-03T10:48:35.299Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-03T10:48:35.299Z] GC before operation: completed in 172.254 ms, heap usage 378.931 MB -> 89.172 MB. [2025-11-03T10:48:38.319Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:48:41.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:48:43.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:48:45.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:48:47.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:48:48.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:48:50.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:48:52.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:48:52.248Z] 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. [2025-11-03T10:48:52.248Z] The best model improves the baseline by 14.52%. [2025-11-03T10:48:52.248Z] Top recommended movies for user id 72: [2025-11-03T10:48:52.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:48:52.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:48:52.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:48:52.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:48:52.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:48:52.248Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16801.711 ms) ====== [2025-11-03T10:48:52.248Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-03T10:48:52.248Z] GC before operation: completed in 145.662 ms, heap usage 338.067 MB -> 88.897 MB. [2025-11-03T10:48:55.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:48:57.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:49:00.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:49:02.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:49:03.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:49:05.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:49:06.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:49:07.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:49:07.735Z] 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. [2025-11-03T10:49:07.735Z] The best model improves the baseline by 14.52%. [2025-11-03T10:49:07.735Z] Top recommended movies for user id 72: [2025-11-03T10:49:07.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:49:07.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:49:07.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:49:07.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:49:07.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:49:07.735Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15300.898 ms) ====== [2025-11-03T10:49:07.735Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-03T10:49:07.735Z] GC before operation: completed in 177.879 ms, heap usage 460.621 MB -> 89.705 MB. [2025-11-03T10:49:09.692Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:49:12.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:49:14.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:49:16.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:49:18.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:49:19.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:49:20.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:49:22.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:49:22.437Z] 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. [2025-11-03T10:49:22.437Z] The best model improves the baseline by 14.52%. [2025-11-03T10:49:22.437Z] Top recommended movies for user id 72: [2025-11-03T10:49:22.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:49:22.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:49:22.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:49:22.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:49:22.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:49:22.437Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14451.602 ms) ====== [2025-11-03T10:49:22.437Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-03T10:49:22.437Z] GC before operation: completed in 156.198 ms, heap usage 489.081 MB -> 90.102 MB. [2025-11-03T10:49:24.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:49:27.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:49:29.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:49:31.351Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:49:33.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:49:34.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:49:36.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:49:37.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:49:37.170Z] 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. [2025-11-03T10:49:37.170Z] The best model improves the baseline by 14.52%. [2025-11-03T10:49:37.170Z] Top recommended movies for user id 72: [2025-11-03T10:49:37.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:49:37.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:49:37.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:49:37.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:49:37.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:49:37.170Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15003.156 ms) ====== [2025-11-03T10:49:37.170Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-03T10:49:38.118Z] GC before operation: completed in 171.008 ms, heap usage 274.022 MB -> 89.622 MB. [2025-11-03T10:49:40.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:49:42.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:49:43.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:49:45.935Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:49:47.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:49:48.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:49:49.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:49:50.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:49:50.774Z] 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. [2025-11-03T10:49:50.774Z] The best model improves the baseline by 14.52%. [2025-11-03T10:49:51.727Z] Top recommended movies for user id 72: [2025-11-03T10:49:51.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:49:51.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:49:51.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:49:51.727Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:49:51.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:49:51.727Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13594.214 ms) ====== [2025-11-03T10:49:51.727Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-03T10:49:51.727Z] GC before operation: completed in 165.114 ms, heap usage 599.581 MB -> 93.674 MB. [2025-11-03T10:49:53.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:49:55.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:49:57.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:49:59.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:50:00.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:50:02.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:50:03.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:50:04.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:50:05.307Z] 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. [2025-11-03T10:50:05.307Z] The best model improves the baseline by 14.52%. [2025-11-03T10:50:05.307Z] Top recommended movies for user id 72: [2025-11-03T10:50:05.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:50:05.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:50:05.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:50:05.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:50:05.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:50:05.307Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13642.815 ms) ====== [2025-11-03T10:50:05.307Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-03T10:50:05.307Z] GC before operation: completed in 150.286 ms, heap usage 168.591 MB -> 89.868 MB. [2025-11-03T10:50:07.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:50:09.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:50:11.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:50:13.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:50:14.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:50:16.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:50:17.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:50:18.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:50:18.581Z] 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. [2025-11-03T10:50:19.536Z] The best model improves the baseline by 14.52%. [2025-11-03T10:50:19.536Z] Top recommended movies for user id 72: [2025-11-03T10:50:19.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:50:19.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:50:19.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:50:19.536Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:50:19.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:50:19.536Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13922.644 ms) ====== [2025-11-03T10:50:19.536Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-03T10:50:19.536Z] GC before operation: completed in 167.928 ms, heap usage 366.267 MB -> 90.373 MB. [2025-11-03T10:50:21.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:50:23.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:50:25.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:50:27.401Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:50:29.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:50:30.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:50:31.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:50:32.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:50:33.222Z] 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. [2025-11-03T10:50:33.222Z] The best model improves the baseline by 14.52%. [2025-11-03T10:50:33.222Z] Top recommended movies for user id 72: [2025-11-03T10:50:33.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:50:33.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:50:33.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:50:33.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:50:33.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:50:33.222Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13683.152 ms) ====== [2025-11-03T10:50:33.222Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-03T10:50:33.222Z] GC before operation: completed in 163.549 ms, heap usage 417.522 MB -> 90.264 MB. [2025-11-03T10:50:35.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:50:37.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:50:39.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:50:41.045Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:50:41.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:50:42.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:50:44.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:50:45.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:50:45.866Z] 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. [2025-11-03T10:50:45.866Z] The best model improves the baseline by 14.52%. [2025-11-03T10:50:45.866Z] Top recommended movies for user id 72: [2025-11-03T10:50:45.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:50:45.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:50:45.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:50:45.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:50:45.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:50:45.866Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12886.728 ms) ====== [2025-11-03T10:50:45.866Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-03T10:50:45.866Z] GC before operation: completed in 176.721 ms, heap usage 175.276 MB -> 90.224 MB. [2025-11-03T10:50:48.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:50:49.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:50:51.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:50:53.751Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:50:54.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:50:56.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:50:57.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:50:58.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:50:58.565Z] 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. [2025-11-03T10:50:58.565Z] The best model improves the baseline by 14.52%. [2025-11-03T10:50:59.513Z] Top recommended movies for user id 72: [2025-11-03T10:50:59.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:50:59.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:50:59.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:50:59.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:50:59.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:50:59.513Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12893.854 ms) ====== [2025-11-03T10:50:59.513Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-03T10:50:59.513Z] GC before operation: completed in 148.594 ms, heap usage 157.983 MB -> 89.957 MB. [2025-11-03T10:51:01.466Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:51:03.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:51:05.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:51:07.331Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:51:08.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:51:09.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:51:10.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:51:11.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:51:11.868Z] 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. [2025-11-03T10:51:11.868Z] The best model improves the baseline by 14.52%. [2025-11-03T10:51:12.818Z] Top recommended movies for user id 72: [2025-11-03T10:51:12.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:51:12.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:51:12.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:51:12.818Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:51:12.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:51:12.818Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13078.502 ms) ====== [2025-11-03T10:51:12.818Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-03T10:51:12.818Z] GC before operation: completed in 156.117 ms, heap usage 399.795 MB -> 90.438 MB. [2025-11-03T10:51:14.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:51:16.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:51:18.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:51:20.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:51:21.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:51:23.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:51:24.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:51:25.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:51:26.404Z] 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. [2025-11-03T10:51:26.404Z] The best model improves the baseline by 14.52%. [2025-11-03T10:51:26.404Z] Top recommended movies for user id 72: [2025-11-03T10:51:26.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:51:26.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:51:26.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:51:26.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:51:26.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:51:26.404Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13582.368 ms) ====== [2025-11-03T10:51:26.404Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-03T10:51:26.404Z] GC before operation: completed in 143.388 ms, heap usage 351.705 MB -> 90.511 MB. [2025-11-03T10:51:28.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:51:30.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:51:32.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:51:34.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:51:35.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:51:37.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:51:38.123Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:51:40.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:51:40.080Z] 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. [2025-11-03T10:51:40.080Z] The best model improves the baseline by 14.52%. [2025-11-03T10:51:40.080Z] Top recommended movies for user id 72: [2025-11-03T10:51:40.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:51:40.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:51:40.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:51:40.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:51:40.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:51:40.080Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13733.888 ms) ====== [2025-11-03T10:51:40.080Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-03T10:51:40.080Z] GC before operation: completed in 146.502 ms, heap usage 358.897 MB -> 90.315 MB. [2025-11-03T10:51:42.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:51:43.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:51:47.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:51:48.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:51:49.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:51:50.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:51:52.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:51:54.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:51:54.791Z] 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. [2025-11-03T10:51:54.791Z] The best model improves the baseline by 14.52%. [2025-11-03T10:51:54.791Z] Top recommended movies for user id 72: [2025-11-03T10:51:54.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:51:54.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:51:54.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:51:54.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:51:54.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:51:54.791Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14645.369 ms) ====== [2025-11-03T10:51:54.791Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-03T10:51:54.791Z] GC before operation: completed in 166.375 ms, heap usage 123.491 MB -> 92.809 MB. [2025-11-03T10:51:56.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:51:59.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:52:01.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:52:03.687Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:52:04.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:52:05.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:52:07.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:52:08.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:52:08.520Z] 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. [2025-11-03T10:52:08.520Z] The best model improves the baseline by 14.52%. [2025-11-03T10:52:09.482Z] Top recommended movies for user id 72: [2025-11-03T10:52:09.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:52:09.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:52:09.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:52:09.482Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:52:09.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:52:09.482Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14083.835 ms) ====== [2025-11-03T10:52:09.482Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-03T10:52:09.482Z] GC before operation: completed in 160.361 ms, heap usage 521.759 MB -> 93.854 MB. [2025-11-03T10:52:11.445Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:52:13.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:52:16.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:52:18.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:52:19.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:52:20.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:52:22.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:52:22.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:52:22.958Z] 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. [2025-11-03T10:52:22.958Z] The best model improves the baseline by 14.52%. [2025-11-03T10:52:22.958Z] Top recommended movies for user id 72: [2025-11-03T10:52:22.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:52:22.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:52:22.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:52:22.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:52:22.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:52:22.958Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14187.532 ms) ====== [2025-11-03T10:52:22.958Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-03T10:52:23.917Z] GC before operation: completed in 167.500 ms, heap usage 355.690 MB -> 90.516 MB. [2025-11-03T10:52:25.876Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:52:27.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:52:30.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:52:31.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:52:33.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:52:34.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:52:35.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:52:37.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:52:37.624Z] 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. [2025-11-03T10:52:37.624Z] The best model improves the baseline by 14.52%. [2025-11-03T10:52:37.624Z] Top recommended movies for user id 72: [2025-11-03T10:52:37.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:52:37.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:52:37.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:52:37.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:52:37.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:52:37.624Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14144.488 ms) ====== [2025-11-03T10:52:37.624Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-03T10:52:37.624Z] GC before operation: completed in 171.202 ms, heap usage 219.655 MB -> 90.038 MB. [2025-11-03T10:52:39.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:52:42.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:52:44.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:52:46.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:52:47.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:52:48.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:52:50.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:52:51.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:52:51.414Z] 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. [2025-11-03T10:52:51.414Z] The best model improves the baseline by 14.52%. [2025-11-03T10:52:51.414Z] Top recommended movies for user id 72: [2025-11-03T10:52:51.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:52:51.414Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:52:51.414Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:52:51.414Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:52:51.414Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:52:51.414Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13782.066 ms) ====== [2025-11-03T10:52:51.414Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-03T10:52:51.414Z] GC before operation: completed in 151.073 ms, heap usage 119.730 MB -> 90.164 MB. [2025-11-03T10:52:53.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-03T10:52:56.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-03T10:52:58.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-03T10:53:00.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-03T10:53:01.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-03T10:53:02.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-03T10:53:03.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-03T10:53:05.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-03T10:53:05.145Z] 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. [2025-11-03T10:53:05.145Z] The best model improves the baseline by 14.52%. [2025-11-03T10:53:05.145Z] Top recommended movies for user id 72: [2025-11-03T10:53:05.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-03T10:53:05.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-03T10:53:05.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-03T10:53:05.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-03T10:53:05.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-03T10:53:05.146Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13334.416 ms) ====== [2025-11-03T10:53:06.097Z] ----------------------------------- [2025-11-03T10:53:06.097Z] renaissance-movie-lens_0_PASSED [2025-11-03T10:53:06.097Z] ----------------------------------- [2025-11-03T10:53:06.097Z] [2025-11-03T10:53:06.097Z] TEST TEARDOWN: [2025-11-03T10:53:06.097Z] Nothing to be done for teardown. [2025-11-03T10:53:06.097Z] renaissance-movie-lens_0 Finish Time: Mon Nov 3 10:53:05 2025 Epoch Time (ms): 1762167185370