[2026-02-08T14:12:06.352Z] Running test renaissance-movie-lens_0 ... [2026-02-08T14:12:06.742Z] =============================================== [2026-02-08T14:12:06.742Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 14:12:06 2026 Epoch Time (ms): 1770559926628 [2026-02-08T14:12:07.093Z] variation: NoOptions [2026-02-08T14:12:07.094Z] JVM_OPTIONS: [2026-02-08T14:12:07.094Z] { \ [2026-02-08T14:12:07.094Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T14:12:07.094Z] echo "Nothing to be done for setup."; \ [2026-02-08T14:12:07.094Z] mkdir -p "C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705574653447\\renaissance-movie-lens_0"; \ [2026-02-08T14:12:07.094Z] cd "C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705574653447\\renaissance-movie-lens_0"; \ [2026-02-08T14:12:07.094Z] echo ""; echo "TESTING:"; \ [2026-02-08T14:12:07.094Z] "c:/workspace/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:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705574653447\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-08T14:12:07.094Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705574653447\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T14:12:07.094Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T14:12:07.094Z] echo "Nothing to be done for teardown."; \ [2026-02-08T14:12:07.094Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705574653447\\TestTargetResult"; [2026-02-08T14:12:07.519Z] [2026-02-08T14:12:07.519Z] TEST SETUP: [2026-02-08T14:12:07.519Z] Nothing to be done for setup. [2026-02-08T14:12:07.519Z] [2026-02-08T14:12:07.519Z] TESTING: [2026-02-08T14:12:08.778Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-08T14:12:08.778Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17705574653447/renaissance-movie-lens_0/launcher-141207-4905496010264351959/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-08T14:12:08.778Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-08T14:12:08.778Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-08T14:12:36.878Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T14:12:50.412Z] 14:12:48.604 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. [2026-02-08T14:12:53.871Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T14:12:54.464Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T14:12:54.464Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T14:12:55.125Z] GC before operation: completed in 273.200 ms, heap usage 362.032 MB -> 76.119 MB. [2026-02-08T14:13:23.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:13:39.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:13:59.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:14:18.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:14:27.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:14:39.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:14:50.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:14:59.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:15:00.363Z] 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. [2026-02-08T14:15:00.363Z] The best model improves the baseline by 14.52%. [2026-02-08T14:15:01.483Z] Top recommended movies for user id 72: [2026-02-08T14:15:01.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:15:01.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:15:01.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:15:01.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:15:01.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:15:01.483Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (126331.687 ms) ====== [2026-02-08T14:15:01.483Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T14:15:01.910Z] GC before operation: completed in 364.828 ms, heap usage 132.382 MB -> 91.590 MB. [2026-02-08T14:15:21.337Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:15:37.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:15:57.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:16:13.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:16:22.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:16:31.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:16:42.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:16:52.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:16:52.968Z] 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. [2026-02-08T14:16:53.377Z] The best model improves the baseline by 14.52%. [2026-02-08T14:16:53.811Z] Top recommended movies for user id 72: [2026-02-08T14:16:53.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:16:53.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:16:53.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:16:53.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:16:53.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:16:53.811Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (112393.689 ms) ====== [2026-02-08T14:16:53.811Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T14:16:54.269Z] GC before operation: completed in 248.521 ms, heap usage 119.783 MB -> 88.582 MB. [2026-02-08T14:17:10.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:17:23.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:17:40.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:17:56.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:18:05.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:18:14.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:18:25.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:18:34.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:18:36.235Z] 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. [2026-02-08T14:18:36.235Z] The best model improves the baseline by 14.52%. [2026-02-08T14:18:36.775Z] Top recommended movies for user id 72: [2026-02-08T14:18:36.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:18:36.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:18:36.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:18:36.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:18:36.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:18:36.775Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (102723.764 ms) ====== [2026-02-08T14:18:36.775Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T14:18:37.237Z] GC before operation: completed in 238.124 ms, heap usage 346.797 MB -> 89.589 MB. [2026-02-08T14:18:53.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:19:09.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:19:29.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:19:45.660Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:19:54.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:20:05.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:20:17.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:20:24.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:20:25.857Z] 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. [2026-02-08T14:20:25.857Z] The best model improves the baseline by 14.52%. [2026-02-08T14:20:26.947Z] Top recommended movies for user id 72: [2026-02-08T14:20:26.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:20:26.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:20:26.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:20:26.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:20:26.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:20:26.947Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (109636.489 ms) ====== [2026-02-08T14:20:26.947Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T14:20:26.947Z] GC before operation: completed in 244.275 ms, heap usage 294.626 MB -> 89.907 MB. [2026-02-08T14:20:43.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:20:59.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:21:18.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:21:34.870Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:21:40.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:21:47.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:21:56.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:22:02.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:22:02.775Z] 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. [2026-02-08T14:22:03.282Z] The best model improves the baseline by 14.52%. [2026-02-08T14:22:03.717Z] Top recommended movies for user id 72: [2026-02-08T14:22:03.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:22:03.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:22:03.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:22:03.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:22:03.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:22:03.717Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (96563.741 ms) ====== [2026-02-08T14:22:03.717Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T14:22:03.717Z] GC before operation: completed in 197.071 ms, heap usage 276.808 MB -> 89.742 MB. [2026-02-08T14:22:17.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:22:33.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:22:49.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:23:05.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:23:14.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:23:22.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:23:33.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:23:42.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:23:43.796Z] 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. [2026-02-08T14:23:43.796Z] The best model improves the baseline by 14.52%. [2026-02-08T14:23:44.359Z] Top recommended movies for user id 72: [2026-02-08T14:23:44.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:23:44.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:23:44.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:23:44.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:23:44.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:23:44.359Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (100675.773 ms) ====== [2026-02-08T14:23:44.359Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T14:23:44.793Z] GC before operation: completed in 266.012 ms, heap usage 120.438 MB -> 89.875 MB. [2026-02-08T14:24:01.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:24:20.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:24:36.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:24:50.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:24:55.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:25:02.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:25:11.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:25:17.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:25:18.655Z] 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. [2026-02-08T14:25:19.223Z] The best model improves the baseline by 14.52%. [2026-02-08T14:25:19.616Z] Top recommended movies for user id 72: [2026-02-08T14:25:19.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:25:19.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:25:19.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:25:19.616Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:25:19.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:25:19.616Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (94710.438 ms) ====== [2026-02-08T14:25:19.616Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T14:25:19.617Z] GC before operation: completed in 206.601 ms, heap usage 137.178 MB -> 89.823 MB. [2026-02-08T14:25:32.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:25:46.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:26:02.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:26:18.818Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:26:27.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:26:37.181Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:26:48.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:26:57.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:26:58.206Z] 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. [2026-02-08T14:26:58.206Z] The best model improves the baseline by 14.52%. [2026-02-08T14:26:59.033Z] Top recommended movies for user id 72: [2026-02-08T14:26:59.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:26:59.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:26:59.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:26:59.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:26:59.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:26:59.033Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (99370.655 ms) ====== [2026-02-08T14:26:59.033Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T14:26:59.033Z] GC before operation: completed in 236.179 ms, heap usage 370.376 MB -> 90.411 MB. [2026-02-08T14:27:15.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:27:34.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:27:50.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:28:07.058Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:28:18.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:28:27.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:28:38.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:28:46.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:28:47.429Z] 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. [2026-02-08T14:28:47.429Z] The best model improves the baseline by 14.52%. [2026-02-08T14:28:48.332Z] Top recommended movies for user id 72: [2026-02-08T14:28:48.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:28:48.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:28:48.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:28:48.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:28:48.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:28:48.332Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (109208.737 ms) ====== [2026-02-08T14:28:48.332Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T14:28:48.790Z] GC before operation: completed in 228.741 ms, heap usage 220.268 MB -> 90.061 MB. [2026-02-08T14:29:04.958Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:29:24.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:29:40.661Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:29:56.873Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:30:06.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:30:15.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:30:26.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:30:37.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:30:37.489Z] 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. [2026-02-08T14:30:37.887Z] The best model improves the baseline by 14.52%. [2026-02-08T14:30:38.312Z] Top recommended movies for user id 72: [2026-02-08T14:30:38.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:30:38.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:30:38.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:30:38.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:30:38.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:30:38.313Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (109707.123 ms) ====== [2026-02-08T14:30:38.313Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T14:30:38.313Z] GC before operation: completed in 226.303 ms, heap usage 372.560 MB -> 90.521 MB. [2026-02-08T14:30:57.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:31:13.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:31:33.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:31:49.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:31:57.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:32:08.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:32:19.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:32:28.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:32:28.478Z] 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. [2026-02-08T14:32:28.478Z] The best model improves the baseline by 14.52%. [2026-02-08T14:32:29.402Z] Top recommended movies for user id 72: [2026-02-08T14:32:29.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:32:29.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:32:29.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:32:29.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:32:29.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:32:29.402Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (110611.930 ms) ====== [2026-02-08T14:32:29.402Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T14:32:29.402Z] GC before operation: completed in 227.359 ms, heap usage 176.641 MB -> 89.949 MB. [2026-02-08T14:32:45.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:32:56.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:33:16.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:33:32.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:33:41.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:33:50.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:34:01.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:34:11.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:34:11.890Z] 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. [2026-02-08T14:34:11.891Z] The best model improves the baseline by 14.52%. [2026-02-08T14:34:12.805Z] Top recommended movies for user id 72: [2026-02-08T14:34:12.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:34:12.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:34:12.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:34:12.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:34:12.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:34:12.805Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (103175.850 ms) ====== [2026-02-08T14:34:12.805Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T14:34:12.805Z] GC before operation: completed in 236.339 ms, heap usage 253.121 MB -> 90.325 MB. [2026-02-08T14:34:28.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:34:45.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:35:04.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:35:20.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:35:30.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:35:39.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:35:50.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:35:57.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:35:59.172Z] 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. [2026-02-08T14:35:59.172Z] The best model improves the baseline by 14.52%. [2026-02-08T14:35:59.665Z] Top recommended movies for user id 72: [2026-02-08T14:35:59.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:35:59.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:35:59.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:35:59.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:35:59.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:35:59.665Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (106908.988 ms) ====== [2026-02-08T14:35:59.665Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T14:36:00.090Z] GC before operation: completed in 236.577 ms, heap usage 249.758 MB -> 90.336 MB. [2026-02-08T14:36:16.308Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:36:32.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:36:51.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:37:08.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:37:15.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:37:23.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:37:32.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:37:38.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:37:39.322Z] 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. [2026-02-08T14:37:39.322Z] The best model improves the baseline by 14.52%. [2026-02-08T14:37:39.761Z] Top recommended movies for user id 72: [2026-02-08T14:37:39.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:37:39.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:37:39.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:37:39.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:37:39.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:37:39.761Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (99870.874 ms) ====== [2026-02-08T14:37:39.761Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T14:37:40.164Z] GC before operation: completed in 182.968 ms, heap usage 372.566 MB -> 90.376 MB. [2026-02-08T14:37:53.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:38:06.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:38:26.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:38:42.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:38:50.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:38:59.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:39:10.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:39:19.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:39:19.849Z] 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. [2026-02-08T14:39:19.849Z] The best model improves the baseline by 14.52%. [2026-02-08T14:39:20.667Z] Top recommended movies for user id 72: [2026-02-08T14:39:20.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:39:20.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:39:20.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:39:20.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:39:20.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:39:20.667Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (100577.719 ms) ====== [2026-02-08T14:39:20.667Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T14:39:20.667Z] GC before operation: completed in 228.155 ms, heap usage 213.420 MB -> 90.436 MB. [2026-02-08T14:39:36.885Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:39:50.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:40:06.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:40:22.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:40:31.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:40:40.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:40:51.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:40:59.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:41:00.646Z] 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. [2026-02-08T14:41:00.646Z] The best model improves the baseline by 14.52%. [2026-02-08T14:41:01.148Z] Top recommended movies for user id 72: [2026-02-08T14:41:01.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:41:01.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:41:01.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:41:01.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:41:01.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:41:01.148Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (100379.536 ms) ====== [2026-02-08T14:41:01.148Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T14:41:01.572Z] GC before operation: completed in 232.751 ms, heap usage 186.872 MB -> 90.210 MB. [2026-02-08T14:41:17.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:41:34.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:41:53.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:42:06.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:42:14.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:42:23.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:42:32.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:42:43.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:42:43.897Z] 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. [2026-02-08T14:42:43.897Z] The best model improves the baseline by 14.52%. [2026-02-08T14:42:44.325Z] Top recommended movies for user id 72: [2026-02-08T14:42:44.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:42:44.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:42:44.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:42:44.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:42:44.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:42:44.326Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (102864.949 ms) ====== [2026-02-08T14:42:44.326Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T14:42:44.326Z] GC before operation: completed in 228.957 ms, heap usage 305.903 MB -> 92.803 MB. [2026-02-08T14:43:00.454Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:43:16.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:43:36.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:43:52.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:43:59.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:44:09.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:44:20.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:44:29.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:44:30.148Z] 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. [2026-02-08T14:44:30.148Z] The best model improves the baseline by 14.52%. [2026-02-08T14:44:30.580Z] Top recommended movies for user id 72: [2026-02-08T14:44:30.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:44:30.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:44:30.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:44:30.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:44:30.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:44:30.580Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (106079.766 ms) ====== [2026-02-08T14:44:30.580Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T14:44:31.021Z] GC before operation: completed in 228.378 ms, heap usage 180.604 MB -> 90.140 MB. [2026-02-08T14:44:47.241Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:45:03.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:45:23.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:45:39.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:45:46.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:45:56.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:46:07.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:46:16.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:46:16.758Z] 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. [2026-02-08T14:46:16.758Z] The best model improves the baseline by 14.52%. [2026-02-08T14:46:17.205Z] Top recommended movies for user id 72: [2026-02-08T14:46:17.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:46:17.205Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:46:17.205Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:46:17.205Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:46:17.205Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:46:17.205Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (106411.243 ms) ====== [2026-02-08T14:46:17.205Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T14:46:17.634Z] GC before operation: completed in 232.666 ms, heap usage 203.522 MB -> 90.321 MB. [2026-02-08T14:46:33.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T14:46:50.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T14:47:09.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T14:47:22.967Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T14:47:32.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T14:47:41.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T14:47:52.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T14:47:59.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T14:48:01.105Z] 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. [2026-02-08T14:48:01.105Z] The best model improves the baseline by 14.52%. [2026-02-08T14:48:01.521Z] Top recommended movies for user id 72: [2026-02-08T14:48:01.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T14:48:01.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T14:48:01.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T14:48:01.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T14:48:01.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T14:48:01.521Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (104240.671 ms) ====== [2026-02-08T14:48:02.319Z] ----------------------------------- [2026-02-08T14:48:02.319Z] renaissance-movie-lens_0_PASSED [2026-02-08T14:48:02.319Z] ----------------------------------- [2026-02-08T14:48:03.584Z] [2026-02-08T14:48:03.584Z] TEST TEARDOWN: [2026-02-08T14:48:03.584Z] Nothing to be done for teardown. [2026-02-08T14:48:04.319Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 14:48:04 2026 Epoch Time (ms): 1770562084011