[2025-12-13T13:47:35.312Z] Running test renaissance-movie-lens_0 ... [2025-12-13T13:47:35.312Z] =============================================== [2025-12-13T13:47:35.312Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 13:47:34 2025 Epoch Time (ms): 1765633654958 [2025-12-13T13:47:35.312Z] variation: NoOptions [2025-12-13T13:47:35.312Z] JVM_OPTIONS: [2025-12-13T13:47:35.312Z] { \ [2025-12-13T13:47:35.312Z] echo ""; echo "TEST SETUP:"; \ [2025-12-13T13:47:35.312Z] echo "Nothing to be done for setup."; \ [2025-12-13T13:47:35.312Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656318674982/renaissance-movie-lens_0"; \ [2025-12-13T13:47:35.312Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656318674982/renaissance-movie-lens_0"; \ [2025-12-13T13:47:35.312Z] echo ""; echo "TESTING:"; \ [2025-12-13T13:47:35.312Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656318674982/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-13T13:47:35.312Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656318674982/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-13T13:47:35.312Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-13T13:47:35.312Z] echo "Nothing to be done for teardown."; \ [2025-12-13T13:47:35.312Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656318674982/TestTargetResult"; [2025-12-13T13:47:35.312Z] [2025-12-13T13:47:35.312Z] TEST SETUP: [2025-12-13T13:47:35.312Z] Nothing to be done for setup. [2025-12-13T13:47:35.312Z] [2025-12-13T13:47:35.312Z] TESTING: [2025-12-13T13:47:36.077Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-13T13:47:36.077Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17656318674982/renaissance-movie-lens_0/launcher-134735-15555267473130715418/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-13T13:47:36.077Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-13T13:47:36.077Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-13T13:47:43.643Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-13T13:47:53.069Z] 13:47:52.357 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. [2025-12-13T13:47:55.544Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-13T13:47:56.321Z] Training: 60056, validation: 20285, test: 19854 [2025-12-13T13:47:56.321Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-13T13:47:56.709Z] GC before operation: completed in 148.195 ms, heap usage 210.890 MB -> 75.736 MB. [2025-12-13T13:48:04.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:48:09.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:48:13.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:48:17.755Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:48:19.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:48:22.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:48:24.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:48:26.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:48:26.731Z] 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. [2025-12-13T13:48:26.731Z] The best model improves the baseline by 14.52%. [2025-12-13T13:48:27.112Z] Top recommended movies for user id 72: [2025-12-13T13:48:27.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:48:27.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:48:27.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:48:27.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:48:27.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:48:27.112Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30601.980 ms) ====== [2025-12-13T13:48:27.112Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-13T13:48:27.479Z] GC before operation: completed in 151.295 ms, heap usage 144.693 MB -> 89.172 MB. [2025-12-13T13:48:31.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:48:34.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:48:38.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:48:41.951Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:48:43.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:48:46.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:48:48.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:48:50.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:48:50.677Z] 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. [2025-12-13T13:48:50.677Z] The best model improves the baseline by 14.52%. [2025-12-13T13:48:51.048Z] Top recommended movies for user id 72: [2025-12-13T13:48:51.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:48:51.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:48:51.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:48:51.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:48:51.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:48:51.048Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23511.726 ms) ====== [2025-12-13T13:48:51.048Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-13T13:48:51.048Z] GC before operation: completed in 145.764 ms, heap usage 424.557 MB -> 88.686 MB. [2025-12-13T13:48:54.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:48:58.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:49:01.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:49:04.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:49:06.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:49:08.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:49:10.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:49:12.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:49:12.630Z] 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. [2025-12-13T13:49:12.630Z] The best model improves the baseline by 14.52%. [2025-12-13T13:49:12.630Z] Top recommended movies for user id 72: [2025-12-13T13:49:12.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:49:12.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:49:12.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:49:12.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:49:12.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:49:12.630Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21766.314 ms) ====== [2025-12-13T13:49:12.630Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-13T13:49:13.003Z] GC before operation: completed in 142.440 ms, heap usage 177.388 MB -> 89.252 MB. [2025-12-13T13:49:16.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:49:19.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:49:21.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:49:25.081Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:49:26.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:49:29.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:49:30.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:49:32.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:49:32.748Z] 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. [2025-12-13T13:49:32.748Z] The best model improves the baseline by 14.52%. [2025-12-13T13:49:32.748Z] Top recommended movies for user id 72: [2025-12-13T13:49:32.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:49:32.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:49:32.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:49:32.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:49:32.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:49:32.748Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19969.908 ms) ====== [2025-12-13T13:49:32.748Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-13T13:49:33.194Z] GC before operation: completed in 153.920 ms, heap usage 173.735 MB -> 89.438 MB. [2025-12-13T13:49:36.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:49:38.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:49:42.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:49:44.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:49:47.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:49:49.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:49:51.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:49:53.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:49:53.558Z] 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. [2025-12-13T13:49:53.558Z] The best model improves the baseline by 14.52%. [2025-12-13T13:49:53.924Z] Top recommended movies for user id 72: [2025-12-13T13:49:53.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:49:53.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:49:53.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:49:53.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:49:53.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:49:53.924Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20734.168 ms) ====== [2025-12-13T13:49:53.924Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-13T13:49:53.924Z] GC before operation: completed in 148.150 ms, heap usage 210.758 MB -> 89.423 MB. [2025-12-13T13:49:57.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:50:00.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:50:03.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:50:06.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:50:08.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:50:10.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:50:12.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:50:14.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:50:14.568Z] 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. [2025-12-13T13:50:14.568Z] The best model improves the baseline by 14.52%. [2025-12-13T13:50:14.935Z] Top recommended movies for user id 72: [2025-12-13T13:50:14.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:50:14.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:50:14.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:50:14.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:50:14.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:50:14.935Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20989.347 ms) ====== [2025-12-13T13:50:14.935Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-13T13:50:14.935Z] GC before operation: completed in 142.858 ms, heap usage 420.975 MB -> 89.986 MB. [2025-12-13T13:50:18.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:50:21.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:50:23.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:50:27.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:50:28.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:50:30.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:50:32.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:50:33.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:50:34.168Z] 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. [2025-12-13T13:50:34.168Z] The best model improves the baseline by 14.52%. [2025-12-13T13:50:34.537Z] Top recommended movies for user id 72: [2025-12-13T13:50:34.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:50:34.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:50:34.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:50:34.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:50:34.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:50:34.537Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19459.499 ms) ====== [2025-12-13T13:50:34.537Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-13T13:50:34.537Z] GC before operation: completed in 146.707 ms, heap usage 245.125 MB -> 89.727 MB. [2025-12-13T13:50:37.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:50:40.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:50:43.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:50:45.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:50:47.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:50:49.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:50:50.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:50:52.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:50:52.932Z] 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. [2025-12-13T13:50:53.324Z] The best model improves the baseline by 14.52%. [2025-12-13T13:50:53.324Z] Top recommended movies for user id 72: [2025-12-13T13:50:53.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:50:53.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:50:53.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:50:53.324Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:50:53.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:50:53.324Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18737.049 ms) ====== [2025-12-13T13:50:53.324Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-13T13:50:53.694Z] GC before operation: completed in 145.242 ms, heap usage 224.607 MB -> 89.892 MB. [2025-12-13T13:50:56.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:50:59.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:51:02.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:51:05.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:51:07.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:51:09.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:51:10.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:51:12.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:51:12.978Z] 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. [2025-12-13T13:51:12.978Z] The best model improves the baseline by 14.52%. [2025-12-13T13:51:13.338Z] Top recommended movies for user id 72: [2025-12-13T13:51:13.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:51:13.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:51:13.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:51:13.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:51:13.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:51:13.338Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19781.218 ms) ====== [2025-12-13T13:51:13.338Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-13T13:51:13.338Z] GC before operation: completed in 159.677 ms, heap usage 570.337 MB -> 93.563 MB. [2025-12-13T13:51:16.540Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:51:19.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:51:23.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:51:25.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:51:27.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:51:29.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:51:31.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:51:32.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:51:33.329Z] 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. [2025-12-13T13:51:33.329Z] The best model improves the baseline by 14.52%. [2025-12-13T13:51:33.699Z] Top recommended movies for user id 72: [2025-12-13T13:51:33.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:51:33.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:51:33.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:51:33.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:51:33.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:51:33.699Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20112.717 ms) ====== [2025-12-13T13:51:33.699Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-13T13:51:33.699Z] GC before operation: completed in 144.859 ms, heap usage 412.753 MB -> 90.201 MB. [2025-12-13T13:51:36.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:51:39.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:51:42.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:51:44.947Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:51:46.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:51:48.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:51:50.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:51:51.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:51:52.109Z] 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. [2025-12-13T13:51:52.109Z] The best model improves the baseline by 14.52%. [2025-12-13T13:51:52.500Z] Top recommended movies for user id 72: [2025-12-13T13:51:52.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:51:52.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:51:52.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:51:52.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:51:52.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:51:52.501Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18681.988 ms) ====== [2025-12-13T13:51:52.501Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-13T13:51:52.501Z] GC before operation: completed in 149.612 ms, heap usage 295.832 MB -> 89.854 MB. [2025-12-13T13:51:55.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:51:58.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:52:01.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:52:03.940Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:52:05.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:52:07.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:52:09.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:52:11.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:52:11.560Z] 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. [2025-12-13T13:52:11.560Z] The best model improves the baseline by 14.52%. [2025-12-13T13:52:11.919Z] Top recommended movies for user id 72: [2025-12-13T13:52:11.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:52:11.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:52:11.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:52:11.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:52:11.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:52:11.919Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19276.695 ms) ====== [2025-12-13T13:52:11.919Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-13T13:52:11.919Z] GC before operation: completed in 140.439 ms, heap usage 294.985 MB -> 90.137 MB. [2025-12-13T13:52:15.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:52:18.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:52:20.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:52:24.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:52:25.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:52:27.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:52:29.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:52:31.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:52:31.779Z] 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. [2025-12-13T13:52:31.779Z] The best model improves the baseline by 14.52%. [2025-12-13T13:52:32.178Z] Top recommended movies for user id 72: [2025-12-13T13:52:32.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:52:32.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:52:32.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:52:32.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:52:32.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:52:32.178Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19974.448 ms) ====== [2025-12-13T13:52:32.178Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-13T13:52:32.178Z] GC before operation: completed in 147.410 ms, heap usage 410.167 MB -> 90.233 MB. [2025-12-13T13:52:35.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:52:37.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:52:41.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:52:44.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:52:45.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:52:47.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:52:49.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:52:51.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:52:51.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-13T13:52:51.484Z] The best model improves the baseline by 14.52%. [2025-12-13T13:52:51.842Z] Top recommended movies for user id 72: [2025-12-13T13:52:51.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:52:51.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:52:51.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:52:51.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:52:51.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:52:51.842Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19739.045 ms) ====== [2025-12-13T13:52:51.842Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-13T13:52:51.842Z] GC before operation: completed in 140.086 ms, heap usage 154.017 MB -> 89.728 MB. [2025-12-13T13:52:55.039Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:52:58.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:53:00.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:53:03.901Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:53:05.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:53:07.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:53:09.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:53:11.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:53:11.287Z] 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. [2025-12-13T13:53:11.287Z] The best model improves the baseline by 14.52%. [2025-12-13T13:53:11.705Z] Top recommended movies for user id 72: [2025-12-13T13:53:11.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:53:11.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:53:11.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:53:11.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:53:11.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:53:11.705Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19543.864 ms) ====== [2025-12-13T13:53:11.705Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-13T13:53:11.705Z] GC before operation: completed in 141.166 ms, heap usage 339.155 MB -> 90.238 MB. [2025-12-13T13:53:14.889Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:53:18.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:53:20.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:53:23.742Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:53:25.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:53:26.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:53:29.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:53:30.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:53:30.924Z] 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. [2025-12-13T13:53:30.924Z] The best model improves the baseline by 14.52%. [2025-12-13T13:53:31.282Z] Top recommended movies for user id 72: [2025-12-13T13:53:31.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:53:31.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:53:31.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:53:31.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:53:31.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:53:31.282Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19576.959 ms) ====== [2025-12-13T13:53:31.282Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-13T13:53:31.282Z] GC before operation: completed in 146.204 ms, heap usage 369.290 MB -> 90.189 MB. [2025-12-13T13:53:34.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:53:37.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:53:40.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:53:42.645Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:53:44.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:53:46.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:53:48.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:53:49.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:53:49.724Z] 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. [2025-12-13T13:53:49.724Z] The best model improves the baseline by 14.52%. [2025-12-13T13:53:50.118Z] Top recommended movies for user id 72: [2025-12-13T13:53:50.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:53:50.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:53:50.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:53:50.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:53:50.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:53:50.118Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18580.119 ms) ====== [2025-12-13T13:53:50.118Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-13T13:53:50.118Z] GC before operation: completed in 141.179 ms, heap usage 215.105 MB -> 89.994 MB. [2025-12-13T13:53:53.295Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:53:55.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:53:58.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:54:00.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:54:02.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:54:04.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:54:06.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:54:08.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:54:08.049Z] 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. [2025-12-13T13:54:08.049Z] The best model improves the baseline by 14.52%. [2025-12-13T13:54:08.427Z] Top recommended movies for user id 72: [2025-12-13T13:54:08.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:54:08.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:54:08.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:54:08.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:54:08.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:54:08.427Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18115.452 ms) ====== [2025-12-13T13:54:08.427Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-13T13:54:08.427Z] GC before operation: completed in 141.816 ms, heap usage 437.723 MB -> 90.289 MB. [2025-12-13T13:54:11.644Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:54:14.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:54:17.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:54:19.826Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:54:21.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:54:23.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:54:25.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:54:27.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:54:27.150Z] 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. [2025-12-13T13:54:27.150Z] The best model improves the baseline by 14.52%. [2025-12-13T13:54:27.520Z] Top recommended movies for user id 72: [2025-12-13T13:54:27.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:54:27.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:54:27.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:54:27.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:54:27.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:54:27.520Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19127.485 ms) ====== [2025-12-13T13:54:27.520Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-13T13:54:27.520Z] GC before operation: completed in 152.506 ms, heap usage 371.200 MB -> 90.262 MB. [2025-12-13T13:54:30.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T13:54:33.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T13:54:37.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T13:54:39.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T13:54:41.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T13:54:43.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T13:54:44.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T13:54:46.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T13:54:46.813Z] 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. [2025-12-13T13:54:47.170Z] The best model improves the baseline by 14.52%. [2025-12-13T13:54:47.170Z] Top recommended movies for user id 72: [2025-12-13T13:54:47.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T13:54:47.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T13:54:47.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T13:54:47.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T13:54:47.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T13:54:47.170Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19511.487 ms) ====== [2025-12-13T13:54:47.942Z] ----------------------------------- [2025-12-13T13:54:47.942Z] renaissance-movie-lens_0_PASSED [2025-12-13T13:54:47.942Z] ----------------------------------- [2025-12-13T13:54:47.942Z] [2025-12-13T13:54:47.942Z] TEST TEARDOWN: [2025-12-13T13:54:47.942Z] Nothing to be done for teardown. [2025-12-13T13:54:47.942Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 13:54:47 2025 Epoch Time (ms): 1765634087738