[2025-11-29T13:07:23.834Z] Running test renaissance-movie-lens_0 ... [2025-11-29T13:07:23.834Z] =============================================== [2025-11-29T13:07:23.834Z] renaissance-movie-lens_0 Start Time: Sat Nov 29 08:07:23 2025 Epoch Time (ms): 1764421643695 [2025-11-29T13:07:23.834Z] variation: NoOptions [2025-11-29T13:07:23.834Z] JVM_OPTIONS: [2025-11-29T13:07:23.834Z] { \ [2025-11-29T13:07:23.834Z] echo ""; echo "TEST SETUP:"; \ [2025-11-29T13:07:23.834Z] echo "Nothing to be done for setup."; \ [2025-11-29T13:07:23.834Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17644211171833/renaissance-movie-lens_0"; \ [2025-11-29T13:07:23.834Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17644211171833/renaissance-movie-lens_0"; \ [2025-11-29T13:07:23.834Z] echo ""; echo "TESTING:"; \ [2025-11-29T13:07:23.834Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17644211171833/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-29T13:07:23.834Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17644211171833/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-29T13:07:23.834Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-29T13:07:23.834Z] echo "Nothing to be done for teardown."; \ [2025-11-29T13:07:23.834Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17644211171833/TestTargetResult"; [2025-11-29T13:07:23.834Z] [2025-11-29T13:07:23.834Z] TEST SETUP: [2025-11-29T13:07:23.834Z] Nothing to be done for setup. [2025-11-29T13:07:23.834Z] [2025-11-29T13:07:23.834Z] TESTING: [2025-11-29T13:07:24.181Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-11-29T13:07:24.181Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17644211171833/renaissance-movie-lens_0/launcher-080723-12959806915286654515/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-11-29T13:07:24.181Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-11-29T13:07:24.181Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-11-29T13:07:26.535Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-29T13:07:28.904Z] 08:07:28.289 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-29T13:07:29.256Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-29T13:07:29.612Z] Training: 60056, validation: 20285, test: 19854 [2025-11-29T13:07:29.612Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-29T13:07:29.612Z] GC before operation: completed in 39.907 ms, heap usage 161.678 MB -> 75.977 MB. [2025-11-29T13:07:32.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:07:33.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:07:34.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:07:35.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:07:36.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:07:37.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:07:37.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:07:38.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:07:38.828Z] 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. [2025-11-29T13:07:38.828Z] The best model improves the baseline by 14.52%. [2025-11-29T13:07:38.828Z] Top recommended movies for user id 72: [2025-11-29T13:07:38.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:07:38.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:07:38.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:07:38.828Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:07:38.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:07:38.828Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9297.775 ms) ====== [2025-11-29T13:07:38.828Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-29T13:07:38.828Z] GC before operation: completed in 44.833 ms, heap usage 261.094 MB -> 87.968 MB. [2025-11-29T13:07:40.074Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:07:41.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:07:42.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:07:43.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:07:44.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:07:44.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:07:45.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:07:45.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:07:45.914Z] 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. [2025-11-29T13:07:45.914Z] The best model improves the baseline by 14.52%. [2025-11-29T13:07:45.914Z] Top recommended movies for user id 72: [2025-11-29T13:07:45.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:07:45.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:07:45.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:07:45.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:07:45.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:07:45.914Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7207.191 ms) ====== [2025-11-29T13:07:45.914Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-29T13:07:45.914Z] GC before operation: completed in 46.698 ms, heap usage 367.841 MB -> 89.572 MB. [2025-11-29T13:07:47.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:07:48.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:07:49.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:07:50.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:07:51.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:07:51.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:07:52.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:07:53.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:07:53.054Z] 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. [2025-11-29T13:07:53.054Z] The best model improves the baseline by 14.52%. [2025-11-29T13:07:53.054Z] Top recommended movies for user id 72: [2025-11-29T13:07:53.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:07:53.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:07:53.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:07:53.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:07:53.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:07:53.054Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7132.359 ms) ====== [2025-11-29T13:07:53.054Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-29T13:07:53.407Z] GC before operation: completed in 58.938 ms, heap usage 121.342 MB -> 92.316 MB. [2025-11-29T13:07:54.206Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:07:55.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:07:56.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:07:57.546Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:07:58.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:07:59.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:07:59.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:00.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:00.211Z] 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. [2025-11-29T13:08:00.211Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:00.211Z] Top recommended movies for user id 72: [2025-11-29T13:08:00.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:00.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:00.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:00.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:00.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:00.211Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7070.635 ms) ====== [2025-11-29T13:08:00.211Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-29T13:08:00.211Z] GC before operation: completed in 42.518 ms, heap usage 100.694 MB -> 89.701 MB. [2025-11-29T13:08:01.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:02.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:03.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:04.319Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:05.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:05.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:06.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:06.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:07.328Z] 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. [2025-11-29T13:08:07.328Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:07.328Z] Top recommended movies for user id 72: [2025-11-29T13:08:07.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:07.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:07.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:07.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:07.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:07.328Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (6875.594 ms) ====== [2025-11-29T13:08:07.328Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-29T13:08:07.328Z] GC before operation: completed in 42.896 ms, heap usage 367.873 MB -> 90.065 MB. [2025-11-29T13:08:08.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:09.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:10.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:11.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:12.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:12.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:13.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:14.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:14.159Z] 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. [2025-11-29T13:08:14.159Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:14.159Z] Top recommended movies for user id 72: [2025-11-29T13:08:14.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:14.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:14.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:14.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:14.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:14.159Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6890.143 ms) ====== [2025-11-29T13:08:14.159Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-29T13:08:14.159Z] GC before operation: completed in 43.734 ms, heap usage 153.657 MB -> 90.058 MB. [2025-11-29T13:08:15.376Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:16.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:17.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:18.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:18.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:19.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:20.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:20.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:20.783Z] 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. [2025-11-29T13:08:20.783Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:20.783Z] Top recommended movies for user id 72: [2025-11-29T13:08:20.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:20.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:20.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:20.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:20.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:20.783Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (6516.816 ms) ====== [2025-11-29T13:08:20.783Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-29T13:08:20.783Z] GC before operation: completed in 42.949 ms, heap usage 293.237 MB -> 90.345 MB. [2025-11-29T13:08:22.020Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:22.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:23.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:24.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:25.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:25.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:26.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:27.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:27.069Z] 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. [2025-11-29T13:08:27.069Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:27.069Z] Top recommended movies for user id 72: [2025-11-29T13:08:27.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:27.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:27.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:27.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:27.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:27.069Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6405.019 ms) ====== [2025-11-29T13:08:27.069Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-29T13:08:27.424Z] GC before operation: completed in 46.846 ms, heap usage 162.574 MB -> 90.361 MB. [2025-11-29T13:08:28.175Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:29.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:30.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:30.925Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:31.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:32.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:32.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:33.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:33.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-29T13:08:33.329Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:33.688Z] Top recommended movies for user id 72: [2025-11-29T13:08:33.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:33.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:33.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:33.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:33.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:33.688Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6293.575 ms) ====== [2025-11-29T13:08:33.688Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-29T13:08:33.688Z] GC before operation: completed in 45.506 ms, heap usage 121.762 MB -> 92.743 MB. [2025-11-29T13:08:34.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:35.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:36.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:37.178Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:37.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:38.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:39.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:39.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:39.460Z] 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. [2025-11-29T13:08:39.460Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:39.810Z] Top recommended movies for user id 72: [2025-11-29T13:08:39.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:39.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:39.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:39.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:39.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:39.810Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6075.917 ms) ====== [2025-11-29T13:08:39.810Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-29T13:08:39.810Z] GC before operation: completed in 42.942 ms, heap usage 216.892 MB -> 90.528 MB. [2025-11-29T13:08:40.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:41.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:42.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:43.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:44.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:44.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:45.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:46.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:46.153Z] 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. [2025-11-29T13:08:46.153Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:46.153Z] Top recommended movies for user id 72: [2025-11-29T13:08:46.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:46.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:46.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:46.153Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:46.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:46.153Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6452.883 ms) ====== [2025-11-29T13:08:46.153Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-29T13:08:46.153Z] GC before operation: completed in 45.366 ms, heap usage 617.260 MB -> 93.940 MB. [2025-11-29T13:08:47.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:48.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:49.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:50.199Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:50.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:51.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:51.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:52.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:52.449Z] 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. [2025-11-29T13:08:52.449Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:52.449Z] Top recommended movies for user id 72: [2025-11-29T13:08:52.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:52.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:52.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:52.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:52.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:52.449Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6226.222 ms) ====== [2025-11-29T13:08:52.449Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-29T13:08:52.449Z] GC before operation: completed in 41.342 ms, heap usage 531.191 MB -> 91.014 MB. [2025-11-29T13:08:53.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:08:54.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:08:55.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:08:56.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:08:57.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:08:57.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:08:58.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:08:58.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:08:58.677Z] 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. [2025-11-29T13:08:58.677Z] The best model improves the baseline by 14.52%. [2025-11-29T13:08:58.677Z] Top recommended movies for user id 72: [2025-11-29T13:08:58.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:08:58.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:08:58.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:08:58.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:08:58.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:08:58.677Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6324.436 ms) ====== [2025-11-29T13:08:58.677Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-29T13:08:58.677Z] GC before operation: completed in 41.301 ms, heap usage 255.334 MB -> 90.543 MB. [2025-11-29T13:08:59.927Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:00.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:01.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:02.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:03.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:03.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:04.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:04.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:04.991Z] 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. [2025-11-29T13:09:04.991Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:04.991Z] Top recommended movies for user id 72: [2025-11-29T13:09:04.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:04.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:04.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:04.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:04.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:04.991Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6175.526 ms) ====== [2025-11-29T13:09:04.991Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-29T13:09:04.991Z] GC before operation: completed in 40.194 ms, heap usage 402.738 MB -> 90.589 MB. [2025-11-29T13:09:06.242Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:07.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:07.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:08.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:09.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:09.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:10.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:10.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:10.808Z] 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. [2025-11-29T13:09:10.808Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:11.169Z] Top recommended movies for user id 72: [2025-11-29T13:09:11.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:11.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:11.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:11.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:11.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:11.169Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (5948.972 ms) ====== [2025-11-29T13:09:11.169Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-29T13:09:11.169Z] GC before operation: completed in 42.308 ms, heap usage 369.134 MB -> 90.821 MB. [2025-11-29T13:09:11.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:12.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:13.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:14.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:15.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:15.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:16.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:16.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:16.900Z] 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. [2025-11-29T13:09:16.900Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:16.900Z] Top recommended movies for user id 72: [2025-11-29T13:09:16.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:16.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:16.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:16.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:16.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:16.900Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (5811.947 ms) ====== [2025-11-29T13:09:16.900Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-29T13:09:16.900Z] GC before operation: completed in 43.117 ms, heap usage 175.015 MB -> 90.459 MB. [2025-11-29T13:09:17.657Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:18.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:19.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:20.477Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:21.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:21.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:22.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:22.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:22.740Z] 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. [2025-11-29T13:09:22.740Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:23.096Z] Top recommended movies for user id 72: [2025-11-29T13:09:23.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:23.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:23.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:23.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:23.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:23.096Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6039.667 ms) ====== [2025-11-29T13:09:23.096Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-29T13:09:23.096Z] GC before operation: completed in 41.704 ms, heap usage 535.998 MB -> 91.051 MB. [2025-11-29T13:09:23.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:24.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:25.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:26.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:26.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:27.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:28.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:28.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:28.870Z] 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. [2025-11-29T13:09:28.870Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:28.870Z] Top recommended movies for user id 72: [2025-11-29T13:09:28.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:28.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:28.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:28.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:28.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:28.870Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (5985.699 ms) ====== [2025-11-29T13:09:28.870Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-29T13:09:28.870Z] GC before operation: completed in 41.933 ms, heap usage 269.043 MB -> 90.467 MB. [2025-11-29T13:09:30.117Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:30.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:32.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:32.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:33.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:34.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:34.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:35.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:35.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-29T13:09:35.150Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:35.505Z] Top recommended movies for user id 72: [2025-11-29T13:09:35.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:35.505Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:35.505Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:35.505Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:35.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:35.505Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6331.347 ms) ====== [2025-11-29T13:09:35.505Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-29T13:09:35.505Z] GC before operation: completed in 45.870 ms, heap usage 250.979 MB -> 90.467 MB. [2025-11-29T13:09:36.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T13:09:37.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T13:09:38.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T13:09:39.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T13:09:39.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T13:09:40.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T13:09:40.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T13:09:41.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T13:09:41.294Z] 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. [2025-11-29T13:09:41.294Z] The best model improves the baseline by 14.52%. [2025-11-29T13:09:41.295Z] Top recommended movies for user id 72: [2025-11-29T13:09:41.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-29T13:09:41.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-29T13:09:41.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-29T13:09:41.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-29T13:09:41.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-29T13:09:41.295Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (5934.683 ms) ====== [2025-11-29T13:09:41.654Z] ----------------------------------- [2025-11-29T13:09:41.654Z] renaissance-movie-lens_0_PASSED [2025-11-29T13:09:41.654Z] ----------------------------------- [2025-11-29T13:09:41.654Z] [2025-11-29T13:09:41.654Z] TEST TEARDOWN: [2025-11-29T13:09:41.654Z] Nothing to be done for teardown. [2025-11-29T13:09:41.654Z] renaissance-movie-lens_0 Finish Time: Sat Nov 29 08:09:41 2025 Epoch Time (ms): 1764421781412