[2026-01-14T18:39:31.384Z] Running test renaissance-movie-lens_0 ... [2026-01-14T18:39:31.384Z] =============================================== [2026-01-14T18:39:31.384Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 18:39:30 2026 Epoch Time (ms): 1768415970614 [2026-01-14T18:39:31.384Z] variation: NoOptions [2026-01-14T18:39:31.384Z] JVM_OPTIONS: [2026-01-14T18:39:31.384Z] { \ [2026-01-14T18:39:31.384Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T18:39:31.384Z] echo "Nothing to be done for setup."; \ [2026-01-14T18:39:31.384Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17684142127609/renaissance-movie-lens_0"; \ [2026-01-14T18:39:31.384Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17684142127609/renaissance-movie-lens_0"; \ [2026-01-14T18:39:31.384Z] echo ""; echo "TESTING:"; \ [2026-01-14T18:39:31.384Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17684142127609/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T18:39:31.384Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17684142127609/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T18:39:31.384Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T18:39:31.384Z] echo "Nothing to be done for teardown."; \ [2026-01-14T18:39:31.384Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17684142127609/TestTargetResult"; [2026-01-14T18:39:31.384Z] [2026-01-14T18:39:31.384Z] TEST SETUP: [2026-01-14T18:39:31.384Z] Nothing to be done for setup. [2026-01-14T18:39:31.384Z] [2026-01-14T18:39:31.384Z] TESTING: [2026-01-14T18:39:39.005Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T18:39:48.310Z] 18:39:47.552 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T18:39:50.810Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T18:39:51.178Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T18:39:51.178Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T18:39:51.554Z] GC before operation: completed in 136.861 ms, heap usage 257.220 MB -> 75.982 MB. [2026-01-14T18:39:59.371Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:40:04.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:40:09.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:40:13.056Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:40:15.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:40:18.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:40:19.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:40:22.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:40:22.375Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:40:22.745Z] The best model improves the baseline by 14.52%. [2026-01-14T18:40:23.124Z] Top recommended movies for user id 72: [2026-01-14T18:40:23.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:40:23.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:40:23.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:40:23.124Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:40:23.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:40:23.124Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31606.071 ms) ====== [2026-01-14T18:40:23.124Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T18:40:23.124Z] GC before operation: completed in 155.447 ms, heap usage 372.465 MB -> 86.826 MB. [2026-01-14T18:40:27.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:40:31.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:40:34.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:40:38.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:40:40.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:40:42.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:40:45.048Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:40:46.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:40:46.868Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:40:46.868Z] The best model improves the baseline by 14.52%. [2026-01-14T18:40:47.245Z] Top recommended movies for user id 72: [2026-01-14T18:40:47.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:40:47.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:40:47.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:40:47.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:40:47.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:40:47.245Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23999.325 ms) ====== [2026-01-14T18:40:47.245Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T18:40:47.245Z] GC before operation: completed in 137.587 ms, heap usage 241.276 MB -> 88.849 MB. [2026-01-14T18:40:51.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:40:54.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:40:57.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:41:00.917Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:41:02.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:41:04.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:41:07.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:41:09.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:41:09.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:41:09.480Z] The best model improves the baseline by 14.52%. [2026-01-14T18:41:09.854Z] Top recommended movies for user id 72: [2026-01-14T18:41:09.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:41:09.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:41:09.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:41:09.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:41:09.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:41:09.854Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22462.460 ms) ====== [2026-01-14T18:41:09.854Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T18:41:09.854Z] GC before operation: completed in 144.597 ms, heap usage 443.461 MB -> 89.702 MB. [2026-01-14T18:41:13.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:41:16.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:41:19.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:41:22.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:41:24.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:41:26.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:41:28.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:41:30.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:41:30.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:41:31.128Z] The best model improves the baseline by 14.52%. [2026-01-14T18:41:31.128Z] Top recommended movies for user id 72: [2026-01-14T18:41:31.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:41:31.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:41:31.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:41:31.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:41:31.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:41:31.128Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21355.299 ms) ====== [2026-01-14T18:41:31.128Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T18:41:31.595Z] GC before operation: completed in 152.187 ms, heap usage 266.623 MB -> 89.746 MB. [2026-01-14T18:41:34.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:41:38.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:41:41.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:41:44.498Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:41:46.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:41:48.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:41:50.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:41:52.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:41:52.840Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:41:52.840Z] The best model improves the baseline by 14.52%. [2026-01-14T18:41:53.211Z] Top recommended movies for user id 72: [2026-01-14T18:41:53.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:41:53.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:41:53.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:41:53.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:41:53.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:41:53.211Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21686.455 ms) ====== [2026-01-14T18:41:53.211Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T18:41:53.211Z] GC before operation: completed in 142.256 ms, heap usage 389.938 MB -> 89.804 MB. [2026-01-14T18:41:56.421Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:41:59.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:42:02.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:42:05.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:42:07.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:42:09.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:42:11.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:42:13.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:42:13.318Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:42:13.318Z] The best model improves the baseline by 14.52%. [2026-01-14T18:42:13.698Z] Top recommended movies for user id 72: [2026-01-14T18:42:13.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:42:13.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:42:13.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:42:13.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:42:13.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:42:13.698Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20554.472 ms) ====== [2026-01-14T18:42:13.698Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T18:42:14.072Z] GC before operation: completed in 139.801 ms, heap usage 290.096 MB -> 90.014 MB. [2026-01-14T18:42:17.260Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:42:20.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:42:23.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:42:26.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:42:28.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:42:29.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:42:31.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:42:33.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:42:34.057Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:42:34.057Z] The best model improves the baseline by 14.52%. [2026-01-14T18:42:34.443Z] Top recommended movies for user id 72: [2026-01-14T18:42:34.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:42:34.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:42:34.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:42:34.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:42:34.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:42:34.443Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20348.388 ms) ====== [2026-01-14T18:42:34.443Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T18:42:34.443Z] GC before operation: completed in 144.293 ms, heap usage 441.752 MB -> 90.178 MB. [2026-01-14T18:42:37.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:42:40.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:42:44.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:42:46.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:42:48.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:42:50.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:42:51.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:42:53.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:42:53.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:42:53.798Z] The best model improves the baseline by 14.52%. [2026-01-14T18:42:54.161Z] Top recommended movies for user id 72: [2026-01-14T18:42:54.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:42:54.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:42:54.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:42:54.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:42:54.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:42:54.161Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19673.341 ms) ====== [2026-01-14T18:42:54.161Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T18:42:54.161Z] GC before operation: completed in 140.987 ms, heap usage 236.755 MB -> 90.123 MB. [2026-01-14T18:42:57.496Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:43:00.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:43:03.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:43:06.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:43:08.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:43:09.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:43:11.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:43:13.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:43:14.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:43:14.354Z] The best model improves the baseline by 14.52%. [2026-01-14T18:43:14.354Z] Top recommended movies for user id 72: [2026-01-14T18:43:14.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:43:14.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:43:14.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:43:14.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:43:14.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:43:14.354Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20175.744 ms) ====== [2026-01-14T18:43:14.354Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T18:43:14.716Z] GC before operation: completed in 142.610 ms, heap usage 135.013 MB -> 89.829 MB. [2026-01-14T18:43:17.916Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:43:21.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:43:23.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:43:26.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:43:28.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:43:30.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:43:32.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:43:34.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:43:34.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:43:34.730Z] The best model improves the baseline by 14.52%. [2026-01-14T18:43:34.730Z] Top recommended movies for user id 72: [2026-01-14T18:43:34.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:43:34.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:43:34.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:43:34.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:43:34.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:43:34.730Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20269.281 ms) ====== [2026-01-14T18:43:34.730Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T18:43:35.094Z] GC before operation: completed in 142.357 ms, heap usage 387.220 MB -> 90.394 MB. [2026-01-14T18:43:38.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:43:41.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:43:43.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:43:47.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:43:49.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:43:50.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:43:52.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:43:54.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:43:55.030Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:43:55.030Z] The best model improves the baseline by 14.52%. [2026-01-14T18:43:55.030Z] Top recommended movies for user id 72: [2026-01-14T18:43:55.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:43:55.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:43:55.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:43:55.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:43:55.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:43:55.030Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20151.418 ms) ====== [2026-01-14T18:43:55.030Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T18:43:55.394Z] GC before operation: completed in 141.265 ms, heap usage 344.982 MB -> 89.997 MB. [2026-01-14T18:43:58.635Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:44:01.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:44:04.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:44:07.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:44:08.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:44:10.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:44:12.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:44:14.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:44:14.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:44:14.722Z] The best model improves the baseline by 14.52%. [2026-01-14T18:44:15.087Z] Top recommended movies for user id 72: [2026-01-14T18:44:15.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:44:15.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:44:15.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:44:15.087Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:44:15.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:44:15.087Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19782.481 ms) ====== [2026-01-14T18:44:15.087Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T18:44:15.087Z] GC before operation: completed in 153.094 ms, heap usage 167.676 MB -> 90.055 MB. [2026-01-14T18:44:18.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:44:21.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:44:24.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:44:27.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:44:29.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:44:30.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:44:32.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:44:35.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:44:35.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:44:35.179Z] The best model improves the baseline by 14.52%. [2026-01-14T18:44:35.179Z] Top recommended movies for user id 72: [2026-01-14T18:44:35.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:44:35.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:44:35.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:44:35.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:44:35.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:44:35.179Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20102.196 ms) ====== [2026-01-14T18:44:35.179Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T18:44:35.560Z] GC before operation: completed in 148.549 ms, heap usage 339.711 MB -> 90.324 MB. [2026-01-14T18:44:38.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:44:42.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:44:44.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:44:47.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:44:49.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:44:51.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:44:53.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:44:55.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:44:55.156Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:44:55.156Z] The best model improves the baseline by 14.52%. [2026-01-14T18:44:55.518Z] Top recommended movies for user id 72: [2026-01-14T18:44:55.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:44:55.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:44:55.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:44:55.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:44:55.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:44:55.518Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20060.354 ms) ====== [2026-01-14T18:44:55.518Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T18:44:55.518Z] GC before operation: completed in 148.888 ms, heap usage 502.173 MB -> 90.413 MB. [2026-01-14T18:44:58.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:45:02.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:45:04.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:45:06.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:45:08.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:45:10.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:45:11.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:45:13.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:45:14.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:45:14.201Z] The best model improves the baseline by 14.52%. [2026-01-14T18:45:14.201Z] Top recommended movies for user id 72: [2026-01-14T18:45:14.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:45:14.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:45:14.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:45:14.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:45:14.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:45:14.201Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18661.869 ms) ====== [2026-01-14T18:45:14.201Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T18:45:14.578Z] GC before operation: completed in 153.986 ms, heap usage 193.164 MB -> 90.450 MB. [2026-01-14T18:45:17.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:45:20.232Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:45:23.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:45:25.900Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:45:27.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:45:29.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:45:32.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:45:33.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:45:33.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:45:33.967Z] The best model improves the baseline by 14.52%. [2026-01-14T18:45:34.342Z] Top recommended movies for user id 72: [2026-01-14T18:45:34.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:45:34.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:45:34.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:45:34.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:45:34.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:45:34.342Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19897.737 ms) ====== [2026-01-14T18:45:34.342Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T18:45:34.342Z] GC before operation: completed in 143.008 ms, heap usage 365.142 MB -> 90.313 MB. [2026-01-14T18:45:37.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:45:40.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:45:44.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:45:46.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:45:48.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:45:50.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:45:52.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:45:53.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:45:54.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:45:54.260Z] The best model improves the baseline by 14.52%. [2026-01-14T18:45:54.260Z] Top recommended movies for user id 72: [2026-01-14T18:45:54.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:45:54.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:45:54.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:45:54.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:45:54.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:45:54.260Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19796.087 ms) ====== [2026-01-14T18:45:54.260Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T18:45:54.630Z] GC before operation: completed in 147.119 ms, heap usage 502.059 MB -> 90.579 MB. [2026-01-14T18:45:57.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:46:00.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:46:03.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:46:06.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:46:08.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:46:09.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:46:11.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:46:13.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:46:14.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:46:14.361Z] The best model improves the baseline by 14.52%. [2026-01-14T18:46:14.361Z] Top recommended movies for user id 72: [2026-01-14T18:46:14.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:46:14.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:46:14.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:46:14.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:46:14.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:46:14.361Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19959.669 ms) ====== [2026-01-14T18:46:14.361Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T18:46:14.733Z] GC before operation: completed in 143.568 ms, heap usage 131.989 MB -> 89.949 MB. [2026-01-14T18:46:17.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:46:20.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:46:23.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:46:26.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:46:27.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:46:29.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:46:32.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:46:33.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:46:33.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:46:33.935Z] The best model improves the baseline by 14.52%. [2026-01-14T18:46:34.322Z] Top recommended movies for user id 72: [2026-01-14T18:46:34.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:46:34.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:46:34.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:46:34.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:46:34.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:46:34.322Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19626.346 ms) ====== [2026-01-14T18:46:34.322Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T18:46:34.322Z] GC before operation: completed in 147.281 ms, heap usage 386.702 MB -> 90.379 MB. [2026-01-14T18:46:37.542Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T18:46:40.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T18:46:44.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T18:46:46.533Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T18:46:48.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T18:46:50.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T18:46:52.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T18:46:53.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T18:46:54.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T18:46:54.280Z] The best model improves the baseline by 14.52%. [2026-01-14T18:46:54.280Z] Top recommended movies for user id 72: [2026-01-14T18:46:54.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T18:46:54.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T18:46:54.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T18:46:54.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T18:46:54.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T18:46:54.280Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20047.633 ms) ====== [2026-01-14T18:46:55.175Z] ----------------------------------- [2026-01-14T18:46:55.175Z] renaissance-movie-lens_0_PASSED [2026-01-14T18:46:55.175Z] ----------------------------------- [2026-01-14T18:46:55.175Z] [2026-01-14T18:46:55.175Z] TEST TEARDOWN: [2026-01-14T18:46:55.175Z] Nothing to be done for teardown. [2026-01-14T18:46:55.175Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 18:46:54 2026 Epoch Time (ms): 1768416414845