[2025-10-22T22:44:24.966Z] Running test renaissance-movie-lens_0 ... [2025-10-22T22:44:25.295Z] =============================================== [2025-10-22T22:44:25.295Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 22:44:25 2025 Epoch Time (ms): 1761173065061 [2025-10-22T22:44:25.295Z] variation: NoOptions [2025-10-22T22:44:25.295Z] JVM_OPTIONS: [2025-10-22T22:44:25.295Z] { \ [2025-10-22T22:44:25.295Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T22:44:25.295Z] echo "Nothing to be done for setup."; \ [2025-10-22T22:44:25.295Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17611711018625\\renaissance-movie-lens_0"; \ [2025-10-22T22:44:25.295Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17611711018625\\renaissance-movie-lens_0"; \ [2025-10-22T22:44:25.295Z] echo ""; echo "TESTING:"; \ [2025-10-22T22:44:25.295Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17611711018625\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-10-22T22:44:25.295Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17611711018625\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T22:44:25.295Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T22:44:25.295Z] echo "Nothing to be done for teardown."; \ [2025-10-22T22:44:25.295Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17611711018625\\TestTargetResult"; [2025-10-22T22:44:25.652Z] [2025-10-22T22:44:25.652Z] TEST SETUP: [2025-10-22T22:44:25.652Z] Nothing to be done for setup. [2025-10-22T22:44:25.652Z] [2025-10-22T22:44:25.652Z] TESTING: [2025-10-22T22:44:26.013Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-22T22:44:26.013Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17611711018625/renaissance-movie-lens_0/launcher-224425-7703565581625301925/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-22T22:44:26.013Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-22T22:44:26.013Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-22T22:44:39.158Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-22T22:44:45.147Z] 22:44:44.323 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-22T22:44:46.486Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T22:44:46.897Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T22:44:46.897Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T22:44:46.897Z] GC before operation: completed in 119.882 ms, heap usage 238.231 MB -> 76.251 MB. [2025-10-22T22:44:57.942Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:45:08.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:45:16.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:45:25.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:45:30.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:45:34.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:45:39.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:45:44.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:45:44.610Z] 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. [2025-10-22T22:45:44.610Z] The best model improves the baseline by 14.52%. [2025-10-22T22:45:44.992Z] Top recommended movies for user id 72: [2025-10-22T22:45:44.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:45:44.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:45:44.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:45:44.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:45:44.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:45:44.992Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58022.683 ms) ====== [2025-10-22T22:45:44.992Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T22:45:45.376Z] GC before operation: completed in 121.124 ms, heap usage 183.413 MB -> 86.787 MB. [2025-10-22T22:45:52.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:46:01.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:46:09.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:46:16.560Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:46:20.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:46:25.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:46:29.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:46:34.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:46:34.327Z] 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. [2025-10-22T22:46:34.327Z] The best model improves the baseline by 14.52%. [2025-10-22T22:46:34.724Z] Top recommended movies for user id 72: [2025-10-22T22:46:34.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:46:34.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:46:34.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:46:34.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:46:34.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:46:34.724Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49454.749 ms) ====== [2025-10-22T22:46:34.724Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T22:46:34.724Z] GC before operation: completed in 121.979 ms, heap usage 186.531 MB -> 88.939 MB. [2025-10-22T22:46:42.071Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:46:51.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:46:58.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:47:05.875Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:47:09.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:47:14.569Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:47:18.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:47:23.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:47:23.240Z] 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. [2025-10-22T22:47:23.240Z] The best model improves the baseline by 14.52%. [2025-10-22T22:47:23.676Z] Top recommended movies for user id 72: [2025-10-22T22:47:23.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:47:23.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:47:23.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:47:23.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:47:23.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:47:23.676Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48737.095 ms) ====== [2025-10-22T22:47:23.676Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T22:47:23.676Z] GC before operation: completed in 121.814 ms, heap usage 362.358 MB -> 89.907 MB. [2025-10-22T22:47:31.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:47:38.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:47:46.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:47:53.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:47:58.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:48:02.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:48:07.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:48:10.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:48:11.728Z] 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. [2025-10-22T22:48:11.728Z] The best model improves the baseline by 14.52%. [2025-10-22T22:48:11.728Z] Top recommended movies for user id 72: [2025-10-22T22:48:11.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:48:11.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:48:11.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:48:11.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:48:11.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:48:11.728Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (48143.382 ms) ====== [2025-10-22T22:48:11.728Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T22:48:12.109Z] GC before operation: completed in 120.686 ms, heap usage 205.800 MB -> 90.007 MB. [2025-10-22T22:48:19.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:48:26.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:48:35.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:48:43.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:48:46.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:48:50.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:48:55.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:48:59.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:48:59.966Z] 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. [2025-10-22T22:48:59.966Z] The best model improves the baseline by 14.52%. [2025-10-22T22:49:00.337Z] Top recommended movies for user id 72: [2025-10-22T22:49:00.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:49:00.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:49:00.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:49:00.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:49:00.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:49:00.338Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48478.760 ms) ====== [2025-10-22T22:49:00.338Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T22:49:00.338Z] GC before operation: completed in 122.242 ms, heap usage 287.990 MB -> 90.055 MB. [2025-10-22T22:49:07.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:49:15.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:49:24.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:49:30.536Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:49:34.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:49:38.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:49:43.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:49:46.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:49:47.807Z] 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. [2025-10-22T22:49:47.807Z] The best model improves the baseline by 14.52%. [2025-10-22T22:49:47.807Z] Top recommended movies for user id 72: [2025-10-22T22:49:47.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:49:47.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:49:47.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:49:47.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:49:47.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:49:47.807Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (47394.874 ms) ====== [2025-10-22T22:49:47.807Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T22:49:48.196Z] GC before operation: completed in 117.913 ms, heap usage 363.294 MB -> 90.472 MB. [2025-10-22T22:49:55.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:50:02.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:50:11.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:50:17.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:50:22.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:50:26.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:50:31.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:50:35.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:50:35.187Z] 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. [2025-10-22T22:50:35.187Z] The best model improves the baseline by 14.52%. [2025-10-22T22:50:35.579Z] Top recommended movies for user id 72: [2025-10-22T22:50:35.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:50:35.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:50:35.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:50:35.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:50:35.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:50:35.579Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (47564.186 ms) ====== [2025-10-22T22:50:35.579Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T22:50:35.579Z] GC before operation: completed in 113.611 ms, heap usage 280.491 MB -> 90.306 MB. [2025-10-22T22:50:42.895Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:50:49.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:51:01.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:51:22.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:51:24.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:51:24.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:51:24.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:51:24.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:51:24.284Z] 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. [2025-10-22T22:51:24.284Z] The best model improves the baseline by 14.52%. [2025-10-22T22:51:24.284Z] Top recommended movies for user id 72: [2025-10-22T22:51:24.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:51:24.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:51:24.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:51:24.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:51:24.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:51:24.284Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46860.940 ms) ====== [2025-10-22T22:51:24.284Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T22:51:24.284Z] GC before operation: completed in 115.653 ms, heap usage 155.350 MB -> 90.433 MB. [2025-10-22T22:52:10.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:52:10.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:52:10.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:52:10.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:52:10.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:52:10.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:52:10.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:52:10.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:52:10.575Z] 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. [2025-10-22T22:52:10.575Z] The best model improves the baseline by 14.52%. [2025-10-22T22:52:10.575Z] Top recommended movies for user id 72: [2025-10-22T22:52:10.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:52:10.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:52:10.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:52:10.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:52:10.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:52:10.575Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (47249.190 ms) ====== [2025-10-22T22:52:10.575Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T22:52:10.575Z] GC before operation: completed in 121.556 ms, heap usage 217.121 MB -> 90.299 MB. [2025-10-22T22:52:17.941Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:54:27.757Z] 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. [2025-10-22T22:54:27.757Z] The best model improves the baseline by 14.52%. [2025-10-22T22:54:27.757Z] Top recommended movies for user id 72: [2025-10-22T22:54:27.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:54:27.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:54:27.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:54:27.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:54:27.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:54:27.757Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47436.097 ms) ====== [2025-10-22T22:54:27.757Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T22:54:27.757Z] GC before operation: completed in 118.494 ms, heap usage 108.640 MB -> 90.408 MB. [2025-10-22T22:54:27.757Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:54:27.757Z] 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. [2025-10-22T22:54:27.757Z] The best model improves the baseline by 14.52%. [2025-10-22T22:54:27.757Z] Top recommended movies for user id 72: [2025-10-22T22:54:27.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:54:27.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:54:27.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:54:27.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:54:27.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:54:27.757Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47385.681 ms) ====== [2025-10-22T22:54:27.757Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T22:54:27.757Z] GC before operation: completed in 116.855 ms, heap usage 365.057 MB -> 90.446 MB. [2025-10-22T22:54:27.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:54:27.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:55:19.598Z] test-azure-win2022-x64-3 seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2025-10-22T22:55:20.423Z] test-azure-win2022-x64-3 is back online [2025-10-22T22:55:35.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:55:35.308Z] 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. [2025-10-22T22:55:35.308Z] The best model improves the baseline by 14.52%. [2025-10-22T22:55:35.308Z] Top recommended movies for user id 72: [2025-10-22T22:55:35.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:55:35.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:55:35.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:55:35.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:55:35.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:55:35.308Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47126.099 ms) ====== [2025-10-22T22:55:35.308Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T22:55:35.308Z] GC before operation: completed in 128.799 ms, heap usage 451.208 MB -> 90.783 MB. [2025-10-22T22:55:35.308Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:55:35.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:55:35.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:55:35.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:55:35.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:55:35.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:55:35.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:55:35.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:55:35.308Z] 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. [2025-10-22T22:55:35.308Z] The best model improves the baseline by 14.52%. [2025-10-22T22:55:35.308Z] Top recommended movies for user id 72: [2025-10-22T22:55:35.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:55:35.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:55:35.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:55:35.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:55:35.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:55:35.308Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46923.064 ms) ====== [2025-10-22T22:55:35.308Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T22:55:35.308Z] GC before operation: completed in 116.210 ms, heap usage 159.684 MB -> 90.522 MB. [2025-10-22T22:55:35.308Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:55:35.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:55:42.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:55:48.590Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:55:53.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:56:03.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:56:03.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:56:05.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:56:16.744Z] 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. [2025-10-22T22:56:16.744Z] The best model improves the baseline by 14.52%. [2025-10-22T22:56:16.744Z] Top recommended movies for user id 72: [2025-10-22T22:56:16.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:56:16.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:56:16.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:56:16.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:56:16.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:56:16.744Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47053.957 ms) ====== [2025-10-22T22:56:16.744Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T22:56:16.744Z] GC before operation: completed in 118.090 ms, heap usage 212.712 MB -> 90.415 MB. [2025-10-22T22:56:16.744Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:56:20.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:56:28.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:56:38.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:56:40.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:56:45.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:56:49.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:57:00.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:57:01.154Z] 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. [2025-10-22T22:57:01.154Z] The best model improves the baseline by 14.52%. [2025-10-22T22:57:01.154Z] Top recommended movies for user id 72: [2025-10-22T22:57:01.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:57:01.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:57:01.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:57:01.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:57:01.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:57:01.154Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46466.380 ms) ====== [2025-10-22T22:57:01.154Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T22:57:01.154Z] GC before operation: completed in 119.832 ms, heap usage 159.861 MB -> 90.629 MB. [2025-10-22T22:57:01.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:57:07.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:57:15.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:57:22.724Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:57:26.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:57:31.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:57:35.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:57:39.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:57:39.594Z] 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. [2025-10-22T22:57:39.594Z] The best model improves the baseline by 14.52%. [2025-10-22T22:57:39.987Z] Top recommended movies for user id 72: [2025-10-22T22:57:39.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:57:39.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:57:39.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:57:39.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:57:39.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:57:39.987Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46818.761 ms) ====== [2025-10-22T22:57:39.987Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T22:57:39.987Z] GC before operation: completed in 120.057 ms, heap usage 281.679 MB -> 90.518 MB. [2025-10-22T22:57:47.282Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:57:54.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:58:02.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:58:09.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:58:12.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:58:17.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:58:21.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:58:26.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:58:26.526Z] 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. [2025-10-22T22:58:26.526Z] The best model improves the baseline by 14.52%. [2025-10-22T22:58:26.526Z] Top recommended movies for user id 72: [2025-10-22T22:58:26.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:58:26.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:58:26.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:58:26.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:58:26.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:58:26.526Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46508.763 ms) ====== [2025-10-22T22:58:26.526Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T22:58:29.078Z] GC before operation: completed in 124.759 ms, heap usage 172.861 MB -> 90.490 MB. [2025-10-22T22:58:33.982Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:58:41.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:58:50.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:58:56.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:59:01.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:59:03.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:59:08.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:59:12.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T22:59:13.464Z] 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. [2025-10-22T22:59:13.464Z] The best model improves the baseline by 14.52%. [2025-10-22T22:59:13.464Z] Top recommended movies for user id 72: [2025-10-22T22:59:13.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T22:59:13.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T22:59:13.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T22:59:13.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T22:59:13.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T22:59:13.464Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46801.335 ms) ====== [2025-10-22T22:59:13.464Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T22:59:13.802Z] GC before operation: completed in 120.241 ms, heap usage 190.289 MB -> 90.405 MB. [2025-10-22T22:59:21.143Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T22:59:27.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T22:59:36.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T22:59:42.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T22:59:46.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T22:59:51.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T22:59:56.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T22:59:59.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T23:00:00.408Z] 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. [2025-10-22T23:00:00.408Z] The best model improves the baseline by 14.52%. [2025-10-22T23:00:00.408Z] Top recommended movies for user id 72: [2025-10-22T23:00:00.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T23:00:00.408Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T23:00:00.408Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T23:00:00.408Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T23:00:00.408Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T23:00:00.408Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46820.666 ms) ====== [2025-10-22T23:00:00.408Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T23:00:00.782Z] GC before operation: completed in 129.305 ms, heap usage 121.865 MB -> 93.599 MB. [2025-10-22T23:00:08.316Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T23:00:14.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T23:00:23.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T23:00:29.122Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T23:00:32.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T23:00:36.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T23:00:41.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T23:00:45.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T23:00:45.816Z] 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. [2025-10-22T23:00:45.816Z] The best model improves the baseline by 14.52%. [2025-10-22T23:00:46.172Z] Top recommended movies for user id 72: [2025-10-22T23:00:46.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T23:00:46.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T23:00:46.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T23:00:46.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T23:00:46.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T23:00:46.172Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45432.952 ms) ====== [2025-10-22T23:00:46.545Z] ----------------------------------- [2025-10-22T23:00:46.545Z] renaissance-movie-lens_0_PASSED [2025-10-22T23:00:46.545Z] ----------------------------------- [2025-10-22T23:00:46.875Z] [2025-10-22T23:00:46.875Z] TEST TEARDOWN: [2025-10-22T23:00:46.875Z] Nothing to be done for teardown. [2025-10-22T23:00:47.213Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 23:00:46 2025 Epoch Time (ms): 1761174046881