[2026-01-24T14:19:35.991Z] Running test renaissance-movie-lens_0 ... [2026-01-24T14:19:35.991Z] =============================================== [2026-01-24T14:19:35.991Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:19:35 2026 Epoch Time (ms): 1769264375368 [2026-01-24T14:19:35.991Z] variation: NoOptions [2026-01-24T14:19:35.991Z] JVM_OPTIONS: [2026-01-24T14:19:35.991Z] { \ [2026-01-24T14:19:35.991Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T14:19:35.991Z] echo "Nothing to be done for setup."; \ [2026-01-24T14:19:35.991Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692632386405/renaissance-movie-lens_0"; \ [2026-01-24T14:19:35.991Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692632386405/renaissance-movie-lens_0"; \ [2026-01-24T14:19:35.991Z] echo ""; echo "TESTING:"; \ [2026-01-24T14:19:35.991Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692632386405/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T14:19:35.992Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692632386405/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T14:19:35.992Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T14:19:35.992Z] echo "Nothing to be done for teardown."; \ [2026-01-24T14:19:35.992Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692632386405/TestTargetResult"; [2026-01-24T14:19:35.992Z] [2026-01-24T14:19:35.992Z] TEST SETUP: [2026-01-24T14:19:35.992Z] Nothing to be done for setup. [2026-01-24T14:19:35.992Z] [2026-01-24T14:19:35.992Z] TESTING: [2026-01-24T14:19:35.992Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T14:19:35.992Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17692632386405/renaissance-movie-lens_0/launcher-141935-3280374045857770865/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T14:19:35.992Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T14:19:35.992Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T14:19:40.893Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-24T14:19:50.042Z] 14:19:49.168 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T14:19:53.143Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T14:19:53.881Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T14:19:53.881Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T14:19:53.881Z] GC before operation: completed in 166.684 ms, heap usage 252.267 MB -> 75.452 MB. [2026-01-24T14:20:02.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:20:07.778Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:20:11.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:20:15.565Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:20:18.051Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:20:20.398Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:20:22.108Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:20:23.833Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:20:24.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:20:24.173Z] The best model improves the baseline by 14.34%. [2026-01-24T14:20:24.518Z] Top recommended movies for user id 72: [2026-01-24T14:20:24.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:20:24.518Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:20:24.518Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:20:24.518Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:20:24.518Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:20:24.518Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30756.639 ms) ====== [2026-01-24T14:20:24.518Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T14:20:24.857Z] GC before operation: completed in 176.791 ms, heap usage 209.877 MB -> 90.100 MB. [2026-01-24T14:20:27.884Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:20:30.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:20:33.954Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:20:36.347Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:20:37.542Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:20:39.264Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:20:41.002Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:20:42.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:20:42.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:20:42.527Z] The best model improves the baseline by 14.34%. [2026-01-24T14:20:42.869Z] Top recommended movies for user id 72: [2026-01-24T14:20:42.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:20:42.869Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:20:42.869Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:20:42.869Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:20:42.869Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:20:42.869Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17993.168 ms) ====== [2026-01-24T14:20:42.869Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T14:20:42.869Z] GC before operation: completed in 160.251 ms, heap usage 361.233 MB -> 87.826 MB. [2026-01-24T14:20:45.889Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:20:48.920Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:20:51.983Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:20:53.699Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:20:55.414Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:20:57.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:20:58.298Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:21:00.002Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:21:00.342Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:21:00.342Z] The best model improves the baseline by 14.34%. [2026-01-24T14:21:00.683Z] Top recommended movies for user id 72: [2026-01-24T14:21:00.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:21:00.683Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:21:00.683Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:21:00.683Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:21:00.683Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:21:00.683Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17694.817 ms) ====== [2026-01-24T14:21:00.683Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T14:21:00.683Z] GC before operation: completed in 161.951 ms, heap usage 170.913 MB -> 88.026 MB. [2026-01-24T14:21:03.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:21:06.148Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:21:08.456Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:21:10.762Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:21:11.943Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:21:13.673Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:21:15.372Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:21:16.561Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:21:16.905Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:21:16.905Z] The best model improves the baseline by 14.34%. [2026-01-24T14:21:16.905Z] Top recommended movies for user id 72: [2026-01-24T14:21:16.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:21:16.905Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:21:16.905Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:21:16.905Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:21:16.905Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:21:16.905Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16208.596 ms) ====== [2026-01-24T14:21:16.905Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T14:21:17.252Z] GC before operation: completed in 173.016 ms, heap usage 559.125 MB -> 92.129 MB. [2026-01-24T14:21:19.576Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:21:22.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:21:24.906Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:21:27.334Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:21:29.032Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:21:30.207Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:21:31.914Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:21:33.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:21:33.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:21:33.499Z] The best model improves the baseline by 14.34%. [2026-01-24T14:21:33.845Z] Top recommended movies for user id 72: [2026-01-24T14:21:33.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:21:33.845Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:21:33.845Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:21:33.845Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:21:33.845Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:21:33.845Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16507.307 ms) ====== [2026-01-24T14:21:33.845Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T14:21:33.845Z] GC before operation: completed in 173.730 ms, heap usage 153.202 MB -> 88.243 MB. [2026-01-24T14:21:36.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:21:39.303Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:21:41.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:21:43.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:21:45.166Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:21:46.360Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:21:48.192Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:21:49.420Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:21:49.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:21:49.759Z] The best model improves the baseline by 14.34%. [2026-01-24T14:21:49.759Z] Top recommended movies for user id 72: [2026-01-24T14:21:49.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:21:49.759Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:21:49.759Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:21:49.759Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:21:49.759Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:21:49.759Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15985.655 ms) ====== [2026-01-24T14:21:49.759Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T14:21:50.099Z] GC before operation: completed in 168.041 ms, heap usage 205.799 MB -> 88.709 MB. [2026-01-24T14:21:52.402Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:21:54.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:21:57.776Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:22:00.087Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:22:01.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:22:03.018Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:22:04.724Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:22:05.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:22:06.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:22:06.595Z] The best model improves the baseline by 14.34%. [2026-01-24T14:22:06.595Z] Top recommended movies for user id 72: [2026-01-24T14:22:06.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:22:06.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:22:06.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:22:06.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:22:06.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:22:06.595Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16577.922 ms) ====== [2026-01-24T14:22:06.595Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T14:22:06.595Z] GC before operation: completed in 164.375 ms, heap usage 413.583 MB -> 89.007 MB. [2026-01-24T14:22:09.729Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:22:12.030Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:22:14.342Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:22:16.640Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:22:17.814Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:22:18.993Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:22:20.687Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:22:22.385Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:22:22.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:22:22.721Z] The best model improves the baseline by 14.34%. [2026-01-24T14:22:22.721Z] Top recommended movies for user id 72: [2026-01-24T14:22:22.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:22:22.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:22:22.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:22:22.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:22:22.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:22:22.721Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16060.878 ms) ====== [2026-01-24T14:22:22.721Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T14:22:23.065Z] GC before operation: completed in 168.604 ms, heap usage 509.409 MB -> 92.594 MB. [2026-01-24T14:22:25.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:22:27.695Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:22:30.734Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:22:32.635Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:22:34.342Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:22:35.527Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:22:36.758Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:22:38.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:22:38.456Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:22:38.456Z] The best model improves the baseline by 14.34%. [2026-01-24T14:22:38.794Z] Top recommended movies for user id 72: [2026-01-24T14:22:38.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:22:38.794Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:22:38.794Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:22:38.794Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:22:38.794Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:22:38.794Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15698.757 ms) ====== [2026-01-24T14:22:38.794Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T14:22:38.794Z] GC before operation: completed in 168.087 ms, heap usage 566.214 MB -> 92.521 MB. [2026-01-24T14:22:41.106Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:22:43.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:22:45.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:22:48.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:22:49.455Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:22:50.757Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:22:52.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:22:53.776Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:22:53.776Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:22:53.776Z] The best model improves the baseline by 14.34%. [2026-01-24T14:22:54.175Z] Top recommended movies for user id 72: [2026-01-24T14:22:54.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:22:54.175Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:22:54.175Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:22:54.175Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:22:54.175Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:22:54.175Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15189.177 ms) ====== [2026-01-24T14:22:54.175Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T14:22:54.175Z] GC before operation: completed in 158.925 ms, heap usage 232.246 MB -> 89.021 MB. [2026-01-24T14:22:56.545Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:22:58.872Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:23:01.949Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:23:03.661Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:23:04.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:23:06.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:23:07.731Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:23:09.437Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:23:09.437Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:23:09.437Z] The best model improves the baseline by 14.34%. [2026-01-24T14:23:09.787Z] Top recommended movies for user id 72: [2026-01-24T14:23:09.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:23:09.787Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:23:09.787Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:23:09.787Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:23:09.787Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:23:09.787Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15427.916 ms) ====== [2026-01-24T14:23:09.787Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T14:23:09.787Z] GC before operation: completed in 166.226 ms, heap usage 600.034 MB -> 92.566 MB. [2026-01-24T14:23:12.123Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:23:14.460Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:23:16.877Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:23:19.179Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:23:20.351Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:23:21.531Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:23:23.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:23:24.398Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:23:24.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:23:24.737Z] The best model improves the baseline by 14.34%. [2026-01-24T14:23:24.737Z] Top recommended movies for user id 72: [2026-01-24T14:23:24.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:23:24.737Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:23:24.737Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:23:24.737Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:23:24.737Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:23:24.737Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15027.326 ms) ====== [2026-01-24T14:23:24.737Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T14:23:25.076Z] GC before operation: completed in 161.010 ms, heap usage 247.700 MB -> 88.917 MB. [2026-01-24T14:23:27.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:23:29.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:23:32.004Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:23:34.348Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:23:35.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:23:37.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:23:38.664Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:23:39.862Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:23:40.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:23:40.209Z] The best model improves the baseline by 14.34%. [2026-01-24T14:23:40.547Z] Top recommended movies for user id 72: [2026-01-24T14:23:40.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:23:40.547Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:23:40.547Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:23:40.547Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:23:40.547Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:23:40.547Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15407.800 ms) ====== [2026-01-24T14:23:40.547Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T14:23:40.547Z] GC before operation: completed in 160.486 ms, heap usage 205.255 MB -> 88.993 MB. [2026-01-24T14:23:43.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:23:45.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:23:48.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:23:49.966Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:23:51.662Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:23:52.836Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:23:54.013Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:23:55.712Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:23:55.712Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:23:55.712Z] The best model improves the baseline by 14.34%. [2026-01-24T14:23:55.712Z] Top recommended movies for user id 72: [2026-01-24T14:23:55.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:23:55.712Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:23:55.712Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:23:55.712Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:23:55.712Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:23:55.712Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15269.167 ms) ====== [2026-01-24T14:23:55.712Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T14:23:56.051Z] GC before operation: completed in 169.406 ms, heap usage 559.541 MB -> 92.633 MB. [2026-01-24T14:23:58.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:24:00.798Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:24:03.841Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:24:06.138Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:24:07.833Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:24:09.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:24:10.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:24:12.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:24:12.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:24:12.405Z] The best model improves the baseline by 14.34%. [2026-01-24T14:24:12.745Z] Top recommended movies for user id 72: [2026-01-24T14:24:12.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:24:12.745Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:24:12.745Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:24:12.745Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:24:12.745Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:24:12.745Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16627.663 ms) ====== [2026-01-24T14:24:12.745Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T14:24:12.745Z] GC before operation: completed in 157.044 ms, heap usage 331.423 MB -> 89.335 MB. [2026-01-24T14:24:15.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:24:18.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:24:20.393Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:24:22.818Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:24:24.518Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:24:26.232Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:24:27.926Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:24:29.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:24:29.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:24:29.624Z] The best model improves the baseline by 14.34%. [2026-01-24T14:24:29.624Z] Top recommended movies for user id 72: [2026-01-24T14:24:29.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:24:29.624Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:24:29.624Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:24:29.624Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:24:29.624Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:24:29.624Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16921.418 ms) ====== [2026-01-24T14:24:29.624Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T14:24:29.963Z] GC before operation: completed in 159.177 ms, heap usage 284.510 MB -> 89.042 MB. [2026-01-24T14:24:32.286Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:24:34.596Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:24:36.926Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:24:39.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:24:40.451Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:24:41.635Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:24:43.408Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:24:44.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:24:44.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:24:44.698Z] The best model improves the baseline by 14.34%. [2026-01-24T14:24:45.039Z] Top recommended movies for user id 72: [2026-01-24T14:24:45.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:24:45.039Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:24:45.039Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:24:45.039Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:24:45.039Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:24:45.039Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15059.244 ms) ====== [2026-01-24T14:24:45.039Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T14:24:45.040Z] GC before operation: completed in 161.176 ms, heap usage 245.102 MB -> 89.073 MB. [2026-01-24T14:24:47.345Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:24:49.648Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:24:51.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:24:54.254Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:24:55.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:24:56.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:24:58.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:24:59.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:24:59.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:24:59.867Z] The best model improves the baseline by 14.34%. [2026-01-24T14:24:59.867Z] Top recommended movies for user id 72: [2026-01-24T14:24:59.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:24:59.867Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:24:59.867Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:24:59.867Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:24:59.867Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:24:59.867Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14766.417 ms) ====== [2026-01-24T14:24:59.867Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T14:24:59.867Z] GC before operation: completed in 160.155 ms, heap usage 183.409 MB -> 88.797 MB. [2026-01-24T14:25:02.209Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:25:04.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:25:07.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:25:09.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:25:10.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:25:12.222Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:25:13.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:25:15.103Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:25:15.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:25:15.103Z] The best model improves the baseline by 14.34%. [2026-01-24T14:25:15.103Z] Top recommended movies for user id 72: [2026-01-24T14:25:15.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:25:15.103Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:25:15.103Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:25:15.103Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:25:15.103Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:25:15.103Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15238.331 ms) ====== [2026-01-24T14:25:15.103Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T14:25:15.445Z] GC before operation: completed in 158.973 ms, heap usage 141.969 MB -> 88.862 MB. [2026-01-24T14:25:17.747Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:25:20.052Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:25:22.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:25:24.059Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:25:25.770Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:25:26.941Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:25:28.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:25:29.836Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:25:29.836Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:25:29.836Z] The best model improves the baseline by 14.34%. [2026-01-24T14:25:29.836Z] Top recommended movies for user id 72: [2026-01-24T14:25:29.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:25:29.836Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:25:29.836Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:25:29.836Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:25:29.836Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:25:29.836Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14524.976 ms) ====== [2026-01-24T14:25:30.171Z] ----------------------------------- [2026-01-24T14:25:30.172Z] renaissance-movie-lens_0_PASSED [2026-01-24T14:25:30.172Z] ----------------------------------- [2026-01-24T14:25:30.172Z] [2026-01-24T14:25:30.172Z] TEST TEARDOWN: [2026-01-24T14:25:30.172Z] Nothing to be done for teardown. [2026-01-24T14:25:30.172Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 14:25:30 2026 Epoch Time (ms): 1769264730118