[2026-02-26T15:15:44.400Z] Running test renaissance-movie-lens_0 ... [2026-02-26T15:15:44.400Z] =============================================== [2026-02-26T15:15:44.400Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 15:15:44 2026 Epoch Time (ms): 1772118944082 [2026-02-26T15:15:44.400Z] variation: NoOptions [2026-02-26T15:15:44.400Z] JVM_OPTIONS: [2026-02-26T15:15:44.400Z] { \ [2026-02-26T15:15:44.400Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T15:15:44.400Z] echo "Nothing to be done for setup."; \ [2026-02-26T15:15:44.400Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17721176824562/renaissance-movie-lens_0"; \ [2026-02-26T15:15:44.400Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17721176824562/renaissance-movie-lens_0"; \ [2026-02-26T15:15:44.400Z] echo ""; echo "TESTING:"; \ [2026-02-26T15:15:44.400Z] "/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_17721176824562/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T15:15:44.400Z] 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_17721176824562/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T15:15:44.400Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T15:15:44.400Z] echo "Nothing to be done for teardown."; \ [2026-02-26T15:15:44.400Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17721176824562/TestTargetResult"; [2026-02-26T15:15:44.400Z] [2026-02-26T15:15:44.400Z] TEST SETUP: [2026-02-26T15:15:44.400Z] Nothing to be done for setup. [2026-02-26T15:15:44.400Z] [2026-02-26T15:15:44.400Z] TESTING: [2026-02-26T15:15:51.991Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T15:16:01.389Z] 15:16:01.121 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. [2026-02-26T15:16:03.944Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T15:16:04.782Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T15:16:04.782Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T15:16:04.782Z] GC before operation: completed in 150.576 ms, heap usage 207.618 MB -> 75.866 MB. [2026-02-26T15:16:14.299Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:16:18.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:16:23.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:16:26.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:16:29.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:16:31.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:16:34.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:16:36.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:16:36.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:16:36.874Z] The best model improves the baseline by 14.52%. [2026-02-26T15:16:36.874Z] Top recommended movies for user id 72: [2026-02-26T15:16:36.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:16:36.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:16:36.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:16:36.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:16:36.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:16:36.874Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32087.508 ms) ====== [2026-02-26T15:16:36.874Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T15:16:37.258Z] GC before operation: completed in 165.689 ms, heap usage 383.060 MB -> 94.236 MB. [2026-02-26T15:16:41.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:16:44.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:16:48.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:16:51.907Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:16:54.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:16:56.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:16:58.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:17:00.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:17:00.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:17:00.902Z] The best model improves the baseline by 14.52%. [2026-02-26T15:17:01.305Z] Top recommended movies for user id 72: [2026-02-26T15:17:01.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:17:01.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:17:01.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:17:01.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:17:01.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:17:01.305Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23985.938 ms) ====== [2026-02-26T15:17:01.305Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T15:17:01.305Z] GC before operation: completed in 133.781 ms, heap usage 414.562 MB -> 88.805 MB. [2026-02-26T15:17:04.666Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:17:08.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:17:12.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:17:15.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:17:17.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:17:19.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:17:21.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:17:23.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:17:23.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:17:23.893Z] The best model improves the baseline by 14.52%. [2026-02-26T15:17:23.893Z] Top recommended movies for user id 72: [2026-02-26T15:17:23.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:17:23.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:17:23.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:17:23.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:17:23.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:17:23.893Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22635.856 ms) ====== [2026-02-26T15:17:23.893Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T15:17:24.257Z] GC before operation: completed in 141.651 ms, heap usage 423.592 MB -> 89.592 MB. [2026-02-26T15:17:27.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:17:30.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:17:33.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:17:37.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:17:39.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:17:41.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:17:43.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:17:45.321Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:17:45.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:17:45.698Z] The best model improves the baseline by 14.52%. [2026-02-26T15:17:45.698Z] Top recommended movies for user id 72: [2026-02-26T15:17:45.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:17:45.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:17:45.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:17:45.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:17:45.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:17:45.699Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21759.585 ms) ====== [2026-02-26T15:17:45.699Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T15:17:46.087Z] GC before operation: completed in 164.912 ms, heap usage 231.545 MB -> 89.696 MB. [2026-02-26T15:17:49.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:17:52.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:17:56.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:17:59.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:18:00.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:18:02.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:18:04.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:18:07.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:18:07.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:18:07.121Z] The best model improves the baseline by 14.52%. [2026-02-26T15:18:07.494Z] Top recommended movies for user id 72: [2026-02-26T15:18:07.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:18:07.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:18:07.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:18:07.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:18:07.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:18:07.495Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21309.715 ms) ====== [2026-02-26T15:18:07.495Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T15:18:07.495Z] GC before operation: completed in 144.310 ms, heap usage 321.617 MB -> 89.797 MB. [2026-02-26T15:18:10.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:18:14.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:18:17.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:18:19.835Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:18:22.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:18:24.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:18:26.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:18:28.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:18:28.508Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:18:28.508Z] The best model improves the baseline by 14.52%. [2026-02-26T15:18:28.508Z] Top recommended movies for user id 72: [2026-02-26T15:18:28.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:18:28.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:18:28.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:18:28.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:18:28.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:18:28.508Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21210.834 ms) ====== [2026-02-26T15:18:28.508Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T15:18:28.873Z] GC before operation: completed in 147.760 ms, heap usage 374.416 MB -> 90.173 MB. [2026-02-26T15:18:32.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:18:35.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:18:38.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:18:41.686Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:18:42.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:18:44.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:18:46.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:18:49.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:18:49.129Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:18:49.129Z] The best model improves the baseline by 14.52%. [2026-02-26T15:18:49.129Z] Top recommended movies for user id 72: [2026-02-26T15:18:49.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:18:49.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:18:49.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:18:49.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:18:49.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:18:49.129Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20392.832 ms) ====== [2026-02-26T15:18:49.129Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T15:18:49.495Z] GC before operation: completed in 141.915 ms, heap usage 574.888 MB -> 93.635 MB. [2026-02-26T15:18:52.704Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:18:55.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:18:58.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:19:00.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:19:02.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:19:04.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:19:06.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:19:07.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:19:08.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:19:08.075Z] The best model improves the baseline by 14.52%. [2026-02-26T15:19:08.437Z] Top recommended movies for user id 72: [2026-02-26T15:19:08.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:19:08.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:19:08.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:19:08.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:19:08.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:19:08.437Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19037.577 ms) ====== [2026-02-26T15:19:08.437Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T15:19:08.437Z] GC before operation: completed in 147.411 ms, heap usage 299.853 MB -> 90.273 MB. [2026-02-26T15:19:11.892Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:19:14.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:19:16.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:19:20.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:19:21.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:19:23.208Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:19:25.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:19:26.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:19:27.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:19:27.339Z] The best model improves the baseline by 14.52%. [2026-02-26T15:19:27.339Z] Top recommended movies for user id 72: [2026-02-26T15:19:27.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:19:27.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:19:27.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:19:27.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:19:27.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:19:27.339Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18915.108 ms) ====== [2026-02-26T15:19:27.339Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T15:19:27.710Z] GC before operation: completed in 139.177 ms, heap usage 114.370 MB -> 89.853 MB. [2026-02-26T15:19:30.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:19:33.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:19:36.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:19:39.184Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:19:41.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:19:42.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:19:44.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:19:46.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:19:46.046Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:19:46.446Z] The best model improves the baseline by 14.52%. [2026-02-26T15:19:46.446Z] Top recommended movies for user id 72: [2026-02-26T15:19:46.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:19:46.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:19:46.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:19:46.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:19:46.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:19:46.446Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18927.278 ms) ====== [2026-02-26T15:19:46.446Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T15:19:46.810Z] GC before operation: completed in 150.926 ms, heap usage 182.996 MB -> 90.146 MB. [2026-02-26T15:19:50.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:19:52.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:19:55.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:19:59.038Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:20:00.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:20:02.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:20:05.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:20:06.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:20:06.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:20:07.211Z] The best model improves the baseline by 14.52%. [2026-02-26T15:20:07.211Z] Top recommended movies for user id 72: [2026-02-26T15:20:07.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:20:07.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:20:07.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:20:07.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:20:07.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:20:07.211Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20583.901 ms) ====== [2026-02-26T15:20:07.211Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T15:20:07.576Z] GC before operation: completed in 139.403 ms, heap usage 373.676 MB -> 90.112 MB. [2026-02-26T15:20:10.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:20:13.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:20:16.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:20:19.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:20:21.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:20:22.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:20:25.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:20:26.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:20:27.550Z] 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. [2026-02-26T15:20:27.550Z] The best model improves the baseline by 14.52%. [2026-02-26T15:20:27.550Z] Top recommended movies for user id 72: [2026-02-26T15:20:27.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:20:27.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:20:27.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:20:27.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:20:27.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:20:27.550Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20192.594 ms) ====== [2026-02-26T15:20:27.550Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T15:20:27.919Z] GC before operation: completed in 140.949 ms, heap usage 106.294 MB -> 90.055 MB. [2026-02-26T15:20:31.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:20:33.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:20:36.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:20:39.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:20:41.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:20:42.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:20:44.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:20:46.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:20:47.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:20:47.047Z] The best model improves the baseline by 14.52%. [2026-02-26T15:20:47.468Z] Top recommended movies for user id 72: [2026-02-26T15:20:47.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:20:47.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:20:47.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:20:47.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:20:47.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:20:47.468Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19503.115 ms) ====== [2026-02-26T15:20:47.468Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T15:20:47.468Z] GC before operation: completed in 141.727 ms, heap usage 517.484 MB -> 90.633 MB. [2026-02-26T15:20:50.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:20:53.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:20:56.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:20:59.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:21:01.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:21:03.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:21:05.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:21:07.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:21:07.450Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:21:07.450Z] The best model improves the baseline by 14.52%. [2026-02-26T15:21:07.450Z] Top recommended movies for user id 72: [2026-02-26T15:21:07.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:21:07.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:21:07.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:21:07.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:21:07.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:21:07.450Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20187.196 ms) ====== [2026-02-26T15:21:07.450Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T15:21:07.826Z] GC before operation: completed in 137.983 ms, heap usage 525.871 MB -> 90.449 MB. [2026-02-26T15:21:11.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:21:14.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:21:16.866Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:21:20.045Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:21:21.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:21:23.165Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:21:25.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:21:26.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:21:27.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:21:27.365Z] The best model improves the baseline by 14.52%. [2026-02-26T15:21:27.731Z] Top recommended movies for user id 72: [2026-02-26T15:21:27.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:21:27.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:21:27.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:21:27.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:21:27.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:21:27.732Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20044.806 ms) ====== [2026-02-26T15:21:27.732Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T15:21:27.732Z] GC before operation: completed in 140.884 ms, heap usage 374.936 MB -> 90.516 MB. [2026-02-26T15:21:30.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:21:34.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:21:37.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:21:40.631Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:21:42.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:21:44.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:21:46.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:21:48.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:21:48.157Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:21:48.157Z] The best model improves the baseline by 14.52%. [2026-02-26T15:21:48.536Z] Top recommended movies for user id 72: [2026-02-26T15:21:48.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:21:48.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:21:48.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:21:48.536Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:21:48.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:21:48.536Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20526.069 ms) ====== [2026-02-26T15:21:48.536Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T15:21:48.536Z] GC before operation: completed in 140.149 ms, heap usage 106.379 MB -> 92.759 MB. [2026-02-26T15:21:51.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:21:55.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:21:57.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:22:00.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:22:02.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:22:04.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:22:06.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:22:08.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:22:08.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:22:08.489Z] The best model improves the baseline by 14.52%. [2026-02-26T15:22:08.859Z] Top recommended movies for user id 72: [2026-02-26T15:22:08.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:22:08.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:22:08.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:22:08.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:22:08.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:22:08.859Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20158.176 ms) ====== [2026-02-26T15:22:08.859Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T15:22:08.859Z] GC before operation: completed in 139.153 ms, heap usage 374.447 MB -> 90.557 MB. [2026-02-26T15:22:12.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:22:14.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:22:17.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:22:21.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:22:22.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:22:24.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:22:26.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:22:27.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:22:28.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:22:28.715Z] The best model improves the baseline by 14.52%. [2026-02-26T15:22:28.715Z] Top recommended movies for user id 72: [2026-02-26T15:22:28.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:22:28.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:22:28.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:22:28.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:22:28.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:22:28.715Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19927.576 ms) ====== [2026-02-26T15:22:28.715Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T15:22:29.078Z] GC before operation: completed in 138.763 ms, heap usage 150.477 MB -> 90.197 MB. [2026-02-26T15:22:32.334Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:22:34.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:22:38.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:22:40.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:22:41.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:22:43.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:22:45.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:22:47.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:22:47.351Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:22:47.351Z] The best model improves the baseline by 14.52%. [2026-02-26T15:22:47.741Z] Top recommended movies for user id 72: [2026-02-26T15:22:47.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:22:47.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:22:47.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:22:47.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:22:47.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:22:47.741Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18623.051 ms) ====== [2026-02-26T15:22:47.741Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T15:22:47.741Z] GC before operation: completed in 143.255 ms, heap usage 268.422 MB -> 90.369 MB. [2026-02-26T15:22:50.306Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:22:53.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:22:56.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:22:58.616Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:23:00.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:23:02.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:23:03.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:23:05.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:23:05.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:23:05.845Z] The best model improves the baseline by 14.52%. [2026-02-26T15:23:05.845Z] Top recommended movies for user id 72: [2026-02-26T15:23:05.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:23:05.845Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:23:05.845Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:23:05.845Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:23:05.845Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:23:05.845Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18286.379 ms) ====== [2026-02-26T15:23:06.622Z] ----------------------------------- [2026-02-26T15:23:06.622Z] renaissance-movie-lens_0_PASSED [2026-02-26T15:23:06.622Z] ----------------------------------- [2026-02-26T15:23:06.622Z] [2026-02-26T15:23:06.622Z] TEST TEARDOWN: [2026-02-26T15:23:06.622Z] Nothing to be done for teardown. [2026-02-26T15:23:06.622Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 15:23:06 2026 Epoch Time (ms): 1772119386442