[2026-01-18T21:28:52.010Z] Running test renaissance-movie-lens_0 ... [2026-01-18T21:28:52.010Z] =============================================== [2026-01-18T21:28:52.010Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 21:28:51 2026 Epoch Time (ms): 1768771731961 [2026-01-18T21:28:52.010Z] variation: NoOptions [2026-01-18T21:28:52.010Z] JVM_OPTIONS: [2026-01-18T21:28:52.010Z] { \ [2026-01-18T21:28:52.010Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T21:28:52.010Z] echo "Nothing to be done for setup."; \ [2026-01-18T21:28:52.010Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687699707924/renaissance-movie-lens_0"; \ [2026-01-18T21:28:52.010Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687699707924/renaissance-movie-lens_0"; \ [2026-01-18T21:28:52.010Z] echo ""; echo "TESTING:"; \ [2026-01-18T21:28:52.010Z] "/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_17687699707924/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T21:28:52.010Z] 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_17687699707924/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T21:28:52.010Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T21:28:52.010Z] echo "Nothing to be done for teardown."; \ [2026-01-18T21:28:52.010Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687699707924/TestTargetResult"; [2026-01-18T21:28:52.010Z] [2026-01-18T21:28:52.010Z] TEST SETUP: [2026-01-18T21:28:52.010Z] Nothing to be done for setup. [2026-01-18T21:28:52.010Z] [2026-01-18T21:28:52.010Z] TESTING: [2026-01-18T21:28:59.563Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-18T21:29:10.778Z] 21:29:09.005 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-18T21:29:12.081Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T21:29:12.871Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T21:29:12.871Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T21:29:13.252Z] GC before operation: completed in 139.606 ms, heap usage 213.450 MB -> 76.037 MB. [2026-01-18T21:29:22.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:29:27.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:29:32.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:29:37.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:29:39.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:29:42.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:29:44.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:29:47.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:29:47.260Z] 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. [2026-01-18T21:29:47.661Z] The best model improves the baseline by 14.52%. [2026-01-18T21:29:48.062Z] Top recommended movies for user id 72: [2026-01-18T21:29:48.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:29:48.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:29:48.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:29:48.062Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:29:48.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:29:48.062Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34778.408 ms) ====== [2026-01-18T21:29:48.062Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T21:29:48.062Z] GC before operation: completed in 164.982 ms, heap usage 303.420 MB -> 89.991 MB. [2026-01-18T21:29:52.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:29:55.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:29:58.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:30:03.056Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:30:04.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:30:06.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:30:08.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:30:10.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:30:11.171Z] 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. [2026-01-18T21:30:11.171Z] The best model improves the baseline by 14.52%. [2026-01-18T21:30:11.171Z] Top recommended movies for user id 72: [2026-01-18T21:30:11.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:30:11.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:30:11.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:30:11.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:30:11.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:30:11.171Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23271.145 ms) ====== [2026-01-18T21:30:11.171Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T21:30:11.546Z] GC before operation: completed in 149.233 ms, heap usage 444.000 MB -> 89.113 MB. [2026-01-18T21:30:14.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:30:18.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:30:21.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:30:23.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:30:25.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:30:28.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:30:30.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:30:32.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:30:32.021Z] 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. [2026-01-18T21:30:32.021Z] The best model improves the baseline by 14.52%. [2026-01-18T21:30:32.394Z] Top recommended movies for user id 72: [2026-01-18T21:30:32.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:30:32.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:30:32.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:30:32.394Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:30:32.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:30:32.394Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20777.641 ms) ====== [2026-01-18T21:30:32.394Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T21:30:32.394Z] GC before operation: completed in 151.648 ms, heap usage 440.237 MB -> 89.791 MB. [2026-01-18T21:30:35.681Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:30:38.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:30:41.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:30:44.752Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:30:46.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:30:48.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:30:50.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:30:52.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:30:52.422Z] 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. [2026-01-18T21:30:52.422Z] The best model improves the baseline by 14.52%. [2026-01-18T21:30:52.794Z] Top recommended movies for user id 72: [2026-01-18T21:30:52.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:30:52.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:30:52.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:30:52.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:30:52.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:30:52.794Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20410.062 ms) ====== [2026-01-18T21:30:52.794Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T21:30:52.794Z] GC before operation: completed in 144.766 ms, heap usage 395.751 MB -> 89.990 MB. [2026-01-18T21:30:56.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:31:00.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:31:03.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:31:06.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:31:08.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:31:10.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:31:12.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:31:14.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:31:14.801Z] 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. [2026-01-18T21:31:14.801Z] The best model improves the baseline by 14.52%. [2026-01-18T21:31:15.169Z] Top recommended movies for user id 72: [2026-01-18T21:31:15.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:31:15.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:31:15.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:31:15.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:31:15.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:31:15.169Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22237.417 ms) ====== [2026-01-18T21:31:15.169Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T21:31:15.169Z] GC before operation: completed in 141.738 ms, heap usage 454.156 MB -> 89.941 MB. [2026-01-18T21:31:18.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:31:21.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:31:24.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:31:27.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:31:29.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:31:31.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:31:33.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:31:35.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:31:35.661Z] 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. [2026-01-18T21:31:35.661Z] The best model improves the baseline by 14.52%. [2026-01-18T21:31:36.052Z] Top recommended movies for user id 72: [2026-01-18T21:31:36.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:31:36.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:31:36.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:31:36.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:31:36.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:31:36.052Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20570.090 ms) ====== [2026-01-18T21:31:36.052Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T21:31:36.052Z] GC before operation: completed in 144.742 ms, heap usage 480.627 MB -> 90.282 MB. [2026-01-18T21:31:39.312Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:31:42.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:31:45.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:31:48.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:31:50.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:31:52.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:31:54.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:31:56.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:31:56.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-18T21:31:56.390Z] The best model improves the baseline by 14.52%. [2026-01-18T21:31:56.390Z] Top recommended movies for user id 72: [2026-01-18T21:31:56.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:31:56.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:31:56.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:31:56.390Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:31:56.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:31:56.390Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20527.348 ms) ====== [2026-01-18T21:31:56.390Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T21:31:56.802Z] GC before operation: completed in 142.711 ms, heap usage 153.884 MB -> 91.195 MB. [2026-01-18T21:32:00.056Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:32:03.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:32:06.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:32:09.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:32:11.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:32:12.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:32:15.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:32:17.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:32:17.292Z] 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. [2026-01-18T21:32:17.292Z] The best model improves the baseline by 14.52%. [2026-01-18T21:32:17.292Z] Top recommended movies for user id 72: [2026-01-18T21:32:17.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:32:17.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:32:17.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:32:17.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:32:17.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:32:17.292Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20763.670 ms) ====== [2026-01-18T21:32:17.292Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T21:32:17.671Z] GC before operation: completed in 152.258 ms, heap usage 385.582 MB -> 90.370 MB. [2026-01-18T21:32:20.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:32:23.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:32:26.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:32:29.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:32:31.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:32:33.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:32:34.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:32:36.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:32:37.221Z] 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. [2026-01-18T21:32:37.221Z] The best model improves the baseline by 14.52%. [2026-01-18T21:32:37.611Z] Top recommended movies for user id 72: [2026-01-18T21:32:37.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:32:37.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:32:37.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:32:37.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:32:37.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:32:37.611Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19817.189 ms) ====== [2026-01-18T21:32:37.611Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T21:32:37.611Z] GC before operation: completed in 146.876 ms, heap usage 476.590 MB -> 90.312 MB. [2026-01-18T21:32:40.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:32:44.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:32:47.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:32:49.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:32:52.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:32:53.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:32:56.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:32:58.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:32:58.170Z] 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. [2026-01-18T21:32:58.170Z] The best model improves the baseline by 14.52%. [2026-01-18T21:32:58.170Z] Top recommended movies for user id 72: [2026-01-18T21:32:58.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:32:58.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:32:58.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:32:58.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:32:58.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:32:58.171Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20762.015 ms) ====== [2026-01-18T21:32:58.171Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T21:32:58.542Z] GC before operation: completed in 144.155 ms, heap usage 102.451 MB -> 90.351 MB. [2026-01-18T21:33:01.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:33:04.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:33:07.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:33:10.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:33:12.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:33:14.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:33:15.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:33:18.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:33:18.454Z] 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. [2026-01-18T21:33:18.454Z] The best model improves the baseline by 14.52%. [2026-01-18T21:33:18.454Z] Top recommended movies for user id 72: [2026-01-18T21:33:18.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:33:18.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:33:18.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:33:18.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:33:18.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:33:18.454Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20011.509 ms) ====== [2026-01-18T21:33:18.454Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T21:33:18.833Z] GC before operation: completed in 141.807 ms, heap usage 100.630 MB -> 90.198 MB. [2026-01-18T21:33:22.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:33:24.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:33:27.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:33:30.419Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:33:32.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:33:34.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:33:36.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:33:37.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:33:37.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-18T21:33:37.932Z] The best model improves the baseline by 14.52%. [2026-01-18T21:33:38.302Z] Top recommended movies for user id 72: [2026-01-18T21:33:38.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:33:38.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:33:38.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:33:38.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:33:38.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:33:38.302Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19618.275 ms) ====== [2026-01-18T21:33:38.302Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T21:33:38.302Z] GC before operation: completed in 145.195 ms, heap usage 373.742 MB -> 90.472 MB. [2026-01-18T21:33:41.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:33:44.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:33:47.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:33:50.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:33:52.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:33:54.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:33:56.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:33:58.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:33:58.421Z] 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. [2026-01-18T21:33:58.793Z] The best model improves the baseline by 14.52%. [2026-01-18T21:33:58.793Z] Top recommended movies for user id 72: [2026-01-18T21:33:58.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:33:58.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:33:58.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:33:58.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:33:58.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:33:58.794Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20397.313 ms) ====== [2026-01-18T21:33:58.794Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T21:33:58.794Z] GC before operation: completed in 142.145 ms, heap usage 153.699 MB -> 90.328 MB. [2026-01-18T21:34:02.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:34:05.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:34:08.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:34:11.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:34:12.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:34:14.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:34:16.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:34:18.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:34:19.032Z] 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. [2026-01-18T21:34:19.032Z] The best model improves the baseline by 14.52%. [2026-01-18T21:34:19.032Z] Top recommended movies for user id 72: [2026-01-18T21:34:19.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:34:19.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:34:19.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:34:19.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:34:19.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:34:19.032Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20232.454 ms) ====== [2026-01-18T21:34:19.032Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T21:34:19.411Z] GC before operation: completed in 141.757 ms, heap usage 369.066 MB -> 90.343 MB. [2026-01-18T21:34:22.693Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:34:25.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:34:28.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:34:30.989Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:34:32.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:34:34.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:34:36.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:34:38.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:34:38.792Z] 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. [2026-01-18T21:34:38.792Z] The best model improves the baseline by 14.52%. [2026-01-18T21:34:39.163Z] Top recommended movies for user id 72: [2026-01-18T21:34:39.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:34:39.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:34:39.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:34:39.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:34:39.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:34:39.164Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19779.180 ms) ====== [2026-01-18T21:34:39.164Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T21:34:39.164Z] GC before operation: completed in 140.643 ms, heap usage 218.326 MB -> 90.330 MB. [2026-01-18T21:34:42.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:34:45.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:34:48.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:34:51.536Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:34:53.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:34:55.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:34:57.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:34:59.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:34:59.682Z] 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. [2026-01-18T21:34:59.682Z] The best model improves the baseline by 14.52%. [2026-01-18T21:34:59.682Z] Top recommended movies for user id 72: [2026-01-18T21:34:59.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:34:59.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:34:59.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:34:59.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:34:59.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:34:59.682Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20473.209 ms) ====== [2026-01-18T21:34:59.682Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T21:35:00.052Z] GC before operation: completed in 147.611 ms, heap usage 398.367 MB -> 90.487 MB. [2026-01-18T21:35:03.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:35:05.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:35:09.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:35:11.739Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:35:13.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:35:15.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:35:17.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:35:19.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:35:19.550Z] 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. [2026-01-18T21:35:19.550Z] The best model improves the baseline by 14.52%. [2026-01-18T21:35:19.922Z] Top recommended movies for user id 72: [2026-01-18T21:35:19.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:35:19.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:35:19.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:35:19.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:35:19.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:35:19.922Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19969.069 ms) ====== [2026-01-18T21:35:19.922Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T21:35:19.922Z] GC before operation: completed in 138.691 ms, heap usage 164.779 MB -> 90.238 MB. [2026-01-18T21:35:23.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:35:26.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:35:28.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:35:32.183Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:35:34.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:35:35.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:35:37.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:35:39.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:35:39.637Z] 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. [2026-01-18T21:35:39.637Z] The best model improves the baseline by 14.52%. [2026-01-18T21:35:40.032Z] Top recommended movies for user id 72: [2026-01-18T21:35:40.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:35:40.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:35:40.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:35:40.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:35:40.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:35:40.032Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20060.882 ms) ====== [2026-01-18T21:35:40.032Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T21:35:40.032Z] GC before operation: completed in 144.036 ms, heap usage 375.999 MB -> 90.294 MB. [2026-01-18T21:35:43.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:35:45.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:35:49.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:35:51.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:35:53.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:35:55.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:35:57.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:35:59.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:35:59.174Z] 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. [2026-01-18T21:35:59.174Z] The best model improves the baseline by 14.52%. [2026-01-18T21:35:59.551Z] Top recommended movies for user id 72: [2026-01-18T21:35:59.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:35:59.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:35:59.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:35:59.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:35:59.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:35:59.551Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19318.436 ms) ====== [2026-01-18T21:35:59.551Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T21:35:59.551Z] GC before operation: completed in 143.125 ms, heap usage 298.001 MB -> 90.381 MB. [2026-01-18T21:36:02.948Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:36:06.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:36:08.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:36:11.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:36:13.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:36:15.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:36:17.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:36:19.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:36:19.512Z] 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. [2026-01-18T21:36:19.512Z] The best model improves the baseline by 14.52%. [2026-01-18T21:36:19.937Z] Top recommended movies for user id 72: [2026-01-18T21:36:19.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T21:36:19.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T21:36:19.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T21:36:19.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T21:36:19.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T21:36:19.937Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20105.004 ms) ====== [2026-01-18T21:36:20.308Z] ----------------------------------- [2026-01-18T21:36:20.308Z] renaissance-movie-lens_0_PASSED [2026-01-18T21:36:20.308Z] ----------------------------------- [2026-01-18T21:36:20.308Z] [2026-01-18T21:36:20.308Z] TEST TEARDOWN: [2026-01-18T21:36:20.308Z] Nothing to be done for teardown. [2026-01-18T21:36:20.308Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 21:36:20 2026 Epoch Time (ms): 1768772180221