[2026-01-14T14:07:23.879Z] Running test renaissance-movie-lens_0 ... [2026-01-14T14:07:24.222Z] =============================================== [2026-01-14T14:07:24.222Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 14:07:24 2026 Epoch Time (ms): 1768399644069 [2026-01-14T14:07:24.222Z] variation: NoOptions [2026-01-14T14:07:24.594Z] JVM_OPTIONS: [2026-01-14T14:07:24.594Z] { \ [2026-01-14T14:07:24.594Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T14:07:24.594Z] echo "Nothing to be done for setup."; \ [2026-01-14T14:07:24.594Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17683979295549\\renaissance-movie-lens_0"; \ [2026-01-14T14:07:24.594Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17683979295549\\renaissance-movie-lens_0"; \ [2026-01-14T14:07:24.594Z] echo ""; echo "TESTING:"; \ [2026-01-14T14:07:24.595Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17683979295549\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-14T14:07:24.595Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17683979295549\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T14:07:24.595Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T14:07:24.595Z] echo "Nothing to be done for teardown."; \ [2026-01-14T14:07:24.595Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17683979295549\\TestTargetResult"; [2026-01-14T14:07:24.595Z] [2026-01-14T14:07:24.595Z] TEST SETUP: [2026-01-14T14:07:24.595Z] Nothing to be done for setup. [2026-01-14T14:07:24.595Z] [2026-01-14T14:07:24.595Z] TESTING: [2026-01-14T14:07:25.347Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-14T14:07:25.347Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17683979295549/renaissance-movie-lens_0/launcher-140724-17203174357688690794/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-14T14:07:25.347Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-14T14:07:25.347Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-14T14:07:38.626Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T14:07:46.083Z] 14:07:44.813 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. [2026-01-14T14:07:47.572Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T14:07:48.025Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T14:07:48.025Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T14:07:48.025Z] GC before operation: completed in 163.979 ms, heap usage 339.252 MB -> 76.200 MB. [2026-01-14T14:08:01.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:08:10.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:08:19.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:08:28.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:08:33.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:08:39.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:08:44.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:08:49.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:08:49.906Z] 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. [2026-01-14T14:08:50.330Z] The best model improves the baseline by 14.52%. [2026-01-14T14:08:50.787Z] Top recommended movies for user id 72: [2026-01-14T14:08:50.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:08:50.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:08:50.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:08:50.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:08:50.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:08:50.788Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (62601.026 ms) ====== [2026-01-14T14:08:50.788Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T14:08:50.788Z] GC before operation: completed in 129.542 ms, heap usage 177.861 MB -> 86.661 MB. [2026-01-14T14:08:59.897Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:09:07.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:09:16.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:09:25.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:09:29.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:09:34.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:09:39.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:09:44.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:09:44.453Z] 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. [2026-01-14T14:09:44.453Z] The best model improves the baseline by 14.52%. [2026-01-14T14:09:44.903Z] Top recommended movies for user id 72: [2026-01-14T14:09:44.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:09:44.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:09:44.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:09:44.903Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:09:44.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:09:44.903Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53984.721 ms) ====== [2026-01-14T14:09:44.903Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T14:09:44.903Z] GC before operation: completed in 125.031 ms, heap usage 219.973 MB -> 88.697 MB. [2026-01-14T14:09:53.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:10:01.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:10:10.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:10:17.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:10:22.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:10:26.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:10:31.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:10:36.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:10:36.484Z] 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. [2026-01-14T14:10:36.484Z] The best model improves the baseline by 14.52%. [2026-01-14T14:10:36.830Z] Top recommended movies for user id 72: [2026-01-14T14:10:36.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:10:36.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:10:36.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:10:36.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:10:36.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:10:36.830Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (52013.698 ms) ====== [2026-01-14T14:10:36.830Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T14:10:36.830Z] GC before operation: completed in 124.942 ms, heap usage 179.968 MB -> 89.332 MB. [2026-01-14T14:10:44.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:10:53.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:11:02.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:11:09.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:11:13.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:11:17.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:11:22.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:11:26.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:11:27.378Z] 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. [2026-01-14T14:11:27.378Z] The best model improves the baseline by 14.52%. [2026-01-14T14:11:27.749Z] Top recommended movies for user id 72: [2026-01-14T14:11:27.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:11:27.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:11:27.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:11:27.749Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:11:27.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:11:27.749Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (50536.430 ms) ====== [2026-01-14T14:11:27.749Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T14:11:27.749Z] GC before operation: completed in 128.599 ms, heap usage 768.628 MB -> 93.696 MB. [2026-01-14T14:11:35.150Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:11:44.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:11:53.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:12:00.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:12:04.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:12:09.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:12:14.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:12:18.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:12:18.986Z] 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. [2026-01-14T14:12:18.986Z] The best model improves the baseline by 14.52%. [2026-01-14T14:12:19.352Z] Top recommended movies for user id 72: [2026-01-14T14:12:19.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:12:19.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:12:19.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:12:19.352Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:12:19.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:12:19.352Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51638.360 ms) ====== [2026-01-14T14:12:19.352Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T14:12:19.352Z] GC before operation: completed in 125.635 ms, heap usage 120.517 MB -> 89.570 MB. [2026-01-14T14:12:28.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:12:35.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:12:44.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:12:52.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:12:56.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:13:01.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:13:05.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:13:10.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:13:10.904Z] 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. [2026-01-14T14:13:10.904Z] The best model improves the baseline by 14.52%. [2026-01-14T14:13:10.904Z] Top recommended movies for user id 72: [2026-01-14T14:13:10.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:13:10.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:13:10.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:13:10.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:13:10.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:13:10.904Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51626.084 ms) ====== [2026-01-14T14:13:10.904Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T14:13:11.286Z] GC before operation: completed in 123.221 ms, heap usage 182.862 MB -> 90.056 MB. [2026-01-14T14:13:18.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:13:27.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:13:35.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:13:42.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:13:47.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:13:51.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:13:57.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:14:01.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:14:02.313Z] 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. [2026-01-14T14:14:02.313Z] The best model improves the baseline by 14.52%. [2026-01-14T14:14:02.699Z] Top recommended movies for user id 72: [2026-01-14T14:14:02.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:14:02.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:14:02.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:14:02.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:14:02.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:14:02.699Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51309.393 ms) ====== [2026-01-14T14:14:02.699Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T14:14:02.699Z] GC before operation: completed in 125.771 ms, heap usage 366.732 MB -> 90.174 MB. [2026-01-14T14:14:10.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:14:17.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:14:26.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:14:34.046Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:14:38.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:14:43.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:14:48.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:14:52.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:14:53.486Z] 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. [2026-01-14T14:14:53.486Z] The best model improves the baseline by 14.52%. [2026-01-14T14:14:53.864Z] Top recommended movies for user id 72: [2026-01-14T14:14:53.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:14:53.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:14:53.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:14:53.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:14:53.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:14:53.864Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51239.029 ms) ====== [2026-01-14T14:14:53.864Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T14:14:53.864Z] GC before operation: completed in 124.674 ms, heap usage 216.853 MB -> 90.152 MB. [2026-01-14T14:15:01.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:15:10.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:15:19.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:15:26.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:15:30.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:15:35.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:15:40.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:15:44.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:15:45.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T14:15:45.272Z] The best model improves the baseline by 14.52%. [2026-01-14T14:15:45.690Z] Top recommended movies for user id 72: [2026-01-14T14:15:45.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:15:45.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:15:45.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:15:45.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:15:45.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:15:45.690Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51577.742 ms) ====== [2026-01-14T14:15:45.690Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T14:15:45.690Z] GC before operation: completed in 121.938 ms, heap usage 159.485 MB -> 90.009 MB. [2026-01-14T14:15:54.717Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:16:02.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:16:11.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:16:18.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:16:22.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:16:27.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:16:32.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:16:36.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:16:36.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T14:16:36.624Z] The best model improves the baseline by 14.52%. [2026-01-14T14:16:36.988Z] Top recommended movies for user id 72: [2026-01-14T14:16:36.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:16:36.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:16:36.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:16:36.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:16:36.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:16:36.988Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51332.033 ms) ====== [2026-01-14T14:16:36.988Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T14:16:36.988Z] GC before operation: completed in 120.738 ms, heap usage 160.149 MB -> 90.191 MB. [2026-01-14T14:16:44.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:16:51.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:17:00.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:17:08.343Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:17:12.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:17:17.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:17:21.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:17:25.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:17:26.390Z] 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. [2026-01-14T14:17:26.390Z] The best model improves the baseline by 14.52%. [2026-01-14T14:17:26.390Z] Top recommended movies for user id 72: [2026-01-14T14:17:26.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:17:26.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:17:26.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:17:26.390Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:17:26.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:17:26.390Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49382.015 ms) ====== [2026-01-14T14:17:26.390Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T14:17:26.771Z] GC before operation: completed in 118.696 ms, heap usage 118.617 MB -> 89.822 MB. [2026-01-14T14:17:34.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:17:43.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:17:50.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:17:59.714Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:18:02.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:18:07.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:18:12.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:18:17.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:18:17.543Z] 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. [2026-01-14T14:18:17.543Z] The best model improves the baseline by 14.52%. [2026-01-14T14:18:17.950Z] Top recommended movies for user id 72: [2026-01-14T14:18:17.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:18:17.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:18:17.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:18:17.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:18:17.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:18:17.950Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51397.849 ms) ====== [2026-01-14T14:18:17.950Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T14:18:17.950Z] GC before operation: completed in 125.555 ms, heap usage 287.406 MB -> 90.303 MB. [2026-01-14T14:18:26.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:18:34.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:18:43.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:18:50.919Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:18:54.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:18:58.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:19:04.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:19:08.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:19:09.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T14:19:09.112Z] The best model improves the baseline by 14.52%. [2026-01-14T14:19:09.112Z] Top recommended movies for user id 72: [2026-01-14T14:19:09.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:19:09.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:19:09.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:19:09.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:19:09.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:19:09.112Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51092.791 ms) ====== [2026-01-14T14:19:09.112Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T14:19:09.482Z] GC before operation: completed in 128.142 ms, heap usage 206.291 MB -> 90.261 MB. [2026-01-14T14:19:18.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:19:24.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:19:33.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:19:40.997Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:19:44.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:19:49.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:19:54.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:19:58.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:19:59.378Z] 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. [2026-01-14T14:19:59.378Z] The best model improves the baseline by 14.52%. [2026-01-14T14:19:59.378Z] Top recommended movies for user id 72: [2026-01-14T14:19:59.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:19:59.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:19:59.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:19:59.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:19:59.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:19:59.379Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50113.975 ms) ====== [2026-01-14T14:19:59.379Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T14:19:59.742Z] GC before operation: completed in 126.716 ms, heap usage 498.586 MB -> 90.527 MB. [2026-01-14T14:20:07.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:20:14.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:20:23.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:20:31.101Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:20:35.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:20:39.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:20:44.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:20:48.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:20:49.478Z] 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. [2026-01-14T14:20:49.478Z] The best model improves the baseline by 14.52%. [2026-01-14T14:20:49.874Z] Top recommended movies for user id 72: [2026-01-14T14:20:49.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:20:49.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:20:49.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:20:49.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:20:49.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:20:49.874Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50177.673 ms) ====== [2026-01-14T14:20:49.874Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T14:20:49.874Z] GC before operation: completed in 117.821 ms, heap usage 164.955 MB -> 90.352 MB. [2026-01-14T14:20:57.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:21:04.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:21:13.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:21:21.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:21:26.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:21:30.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:21:34.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:21:39.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:21:39.901Z] 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. [2026-01-14T14:21:39.901Z] The best model improves the baseline by 14.52%. [2026-01-14T14:21:40.287Z] Top recommended movies for user id 72: [2026-01-14T14:21:40.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:21:40.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:21:40.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:21:40.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:21:40.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:21:40.287Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50438.340 ms) ====== [2026-01-14T14:21:40.287Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T14:21:40.287Z] GC before operation: completed in 116.951 ms, heap usage 216.904 MB -> 90.212 MB. [2026-01-14T14:21:49.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:21:56.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:22:05.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:22:13.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:22:17.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:22:21.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:22:25.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:22:30.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:22:30.874Z] 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. [2026-01-14T14:22:30.874Z] The best model improves the baseline by 14.52%. [2026-01-14T14:22:31.247Z] Top recommended movies for user id 72: [2026-01-14T14:22:31.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:22:31.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:22:31.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:22:31.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:22:31.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:22:31.247Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50764.997 ms) ====== [2026-01-14T14:22:31.247Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T14:22:31.247Z] GC before operation: completed in 121.316 ms, heap usage 296.928 MB -> 90.451 MB. [2026-01-14T14:22:40.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:22:47.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:22:56.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:23:02.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:23:07.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:23:11.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:23:16.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:23:20.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:23:20.378Z] 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. [2026-01-14T14:23:20.378Z] The best model improves the baseline by 14.52%. [2026-01-14T14:23:20.757Z] Top recommended movies for user id 72: [2026-01-14T14:23:20.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:23:20.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:23:20.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:23:20.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:23:20.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:23:20.757Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49487.547 ms) ====== [2026-01-14T14:23:20.757Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T14:23:20.757Z] GC before operation: completed in 127.063 ms, heap usage 198.729 MB -> 90.160 MB. [2026-01-14T14:23:29.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:23:37.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:23:46.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:23:53.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:23:57.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:24:01.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:24:07.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:24:11.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:24:12.028Z] 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. [2026-01-14T14:24:12.028Z] The best model improves the baseline by 14.52%. [2026-01-14T14:24:12.442Z] Top recommended movies for user id 72: [2026-01-14T14:24:12.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:24:12.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:24:12.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:24:12.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:24:12.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:24:12.442Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51205.721 ms) ====== [2026-01-14T14:24:12.443Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T14:24:12.443Z] GC before operation: completed in 120.426 ms, heap usage 296.983 MB -> 90.353 MB. [2026-01-14T14:24:21.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:24:27.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:24:36.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:24:44.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:24:47.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:24:52.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:24:57.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:25:01.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:25:02.005Z] 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. [2026-01-14T14:25:02.005Z] The best model improves the baseline by 14.52%. [2026-01-14T14:25:02.675Z] Top recommended movies for user id 72: [2026-01-14T14:25:02.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:25:02.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:25:02.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:25:02.675Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:25:02.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:25:02.675Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50162.781 ms) ====== [2026-01-14T14:25:03.040Z] ----------------------------------- [2026-01-14T14:25:03.040Z] renaissance-movie-lens_0_PASSED [2026-01-14T14:25:03.040Z] ----------------------------------- [2026-01-14T14:25:03.770Z] [2026-01-14T14:25:03.770Z] TEST TEARDOWN: [2026-01-14T14:25:03.770Z] Nothing to be done for teardown. [2026-01-14T14:25:03.770Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 14:25:03 2026 Epoch Time (ms): 1768400703600