[2026-04-22T14:35:02.549Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:35:02.549Z] =============================================== [2026-04-22T14:35:02.549Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:35:02 2026 Epoch Time (ms): 1776868502184 [2026-04-22T14:35:02.549Z] variation: NoOptions [2026-04-22T14:35:02.549Z] JVM_OPTIONS: [2026-04-22T14:35:02.549Z] { \ [2026-04-22T14:35:02.549Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:35:02.549Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:35:02.549Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768676944172/renaissance-movie-lens_0"; \ [2026-04-22T14:35:02.549Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768676944172/renaissance-movie-lens_0"; \ [2026-04-22T14:35:02.549Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:35:02.549Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768676944172/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:35:02.549Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768676944172/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:35:02.549Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:35:02.549Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:35:02.549Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768676944172/TestTargetResult"; [2026-04-22T14:35:02.549Z] [2026-04-22T14:35:02.549Z] TEST SETUP: [2026-04-22T14:35:02.549Z] Nothing to be done for setup. [2026-04-22T14:35:02.549Z] [2026-04-22T14:35:02.549Z] TESTING: [2026-04-22T14:35:06.547Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:35:13.020Z] 14:35:12.468 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:35:15.282Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:35:15.600Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:35:15.600Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:35:15.917Z] GC before operation: completed in 157.454 ms, heap usage 698.087 MB -> 76.839 MB. [2026-04-22T14:35:21.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:24.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:27.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:30.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:31.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:35:32.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:34.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:35.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:36.021Z] 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. [2026-04-22T14:35:36.021Z] The best model improves the baseline by 14.52%. [2026-04-22T14:35:36.370Z] Top recommended movies for user id 72: [2026-04-22T14:35:36.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:35:36.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:35:36.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:35:36.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:35:36.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:35:36.371Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20531.771 ms) ====== [2026-04-22T14:35:36.371Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:35:36.371Z] GC before operation: completed in 140.307 ms, heap usage 123.144 MB -> 89.130 MB. [2026-04-22T14:35:38.697Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:41.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:43.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:45.131Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:46.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:35:47.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:49.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:50.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:50.550Z] 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. [2026-04-22T14:35:50.550Z] The best model improves the baseline by 14.52%. [2026-04-22T14:35:50.550Z] Top recommended movies for user id 72: [2026-04-22T14:35:50.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:35:50.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:35:50.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:35:50.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:35:50.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:35:50.550Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14180.942 ms) ====== [2026-04-22T14:35:50.550Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:35:50.902Z] GC before operation: completed in 116.717 ms, heap usage 370.837 MB -> 89.664 MB. [2026-04-22T14:35:53.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:54.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:57.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:58.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:59.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:01.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:02.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:03.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:03.687Z] 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. [2026-04-22T14:36:03.687Z] The best model improves the baseline by 14.52%. [2026-04-22T14:36:03.687Z] Top recommended movies for user id 72: [2026-04-22T14:36:03.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:36:03.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:36:03.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:36:03.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:36:03.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:36:03.687Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12985.897 ms) ====== [2026-04-22T14:36:03.687Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:36:04.021Z] GC before operation: completed in 116.905 ms, heap usage 406.769 MB -> 90.459 MB. [2026-04-22T14:36:07.457Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:07.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:09.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:11.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:12.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:14.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:15.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:16.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:16.593Z] 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. [2026-04-22T14:36:16.593Z] The best model improves the baseline by 14.52%. [2026-04-22T14:36:16.932Z] Top recommended movies for user id 72: [2026-04-22T14:36:16.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:36:16.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:36:16.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:36:16.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:36:16.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:36:16.932Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12973.296 ms) ====== [2026-04-22T14:36:16.932Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:36:16.932Z] GC before operation: completed in 107.544 ms, heap usage 643.432 MB -> 94.366 MB. [2026-04-22T14:36:19.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:20.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:23.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:24.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:25.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:27.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:28.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:31.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:31.416Z] 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. [2026-04-22T14:36:31.416Z] The best model improves the baseline by 14.52%. [2026-04-22T14:36:31.416Z] Top recommended movies for user id 72: [2026-04-22T14:36:31.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:36:31.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:36:31.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:36:31.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:36:31.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:36:31.416Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12705.660 ms) ====== [2026-04-22T14:36:31.416Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:36:31.416Z] GC before operation: completed in 121.647 ms, heap usage 346.905 MB -> 90.554 MB. [2026-04-22T14:36:31.887Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:33.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:35.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:37.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:38.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:39.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:40.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:41.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:41.808Z] 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. [2026-04-22T14:36:41.808Z] The best model improves the baseline by 14.52%. [2026-04-22T14:36:41.808Z] Top recommended movies for user id 72: [2026-04-22T14:36:41.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:36:41.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:36:41.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:36:41.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:36:41.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:36:41.808Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12120.181 ms) ====== [2026-04-22T14:36:41.808Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:36:42.125Z] GC before operation: completed in 130.228 ms, heap usage 816.132 MB -> 94.841 MB. [2026-04-22T14:36:43.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:45.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:47.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:49.294Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:50.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:51.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:52.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:53.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:53.694Z] 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. [2026-04-22T14:36:53.694Z] The best model improves the baseline by 14.52%. [2026-04-22T14:36:53.694Z] Top recommended movies for user id 72: [2026-04-22T14:36:53.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:36:53.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:36:53.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:36:53.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:36:53.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:36:53.694Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11658.324 ms) ====== [2026-04-22T14:36:53.694Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:36:53.694Z] GC before operation: completed in 112.501 ms, heap usage 367.022 MB -> 90.990 MB. [2026-04-22T14:36:55.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:57.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:59.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:00.832Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:01.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:03.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:04.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:05.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:05.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:37:05.322Z] The best model improves the baseline by 14.52%. [2026-04-22T14:37:05.322Z] Top recommended movies for user id 72: [2026-04-22T14:37:05.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:37:05.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:37:05.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:37:05.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:37:05.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:37:05.322Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11581.955 ms) ====== [2026-04-22T14:37:05.322Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:37:05.640Z] GC before operation: completed in 123.349 ms, heap usage 967.346 MB -> 95.798 MB. [2026-04-22T14:37:07.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:08.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:13.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:13.020Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:13.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:14.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:15.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:16.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:16.866Z] 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. [2026-04-22T14:37:16.866Z] The best model improves the baseline by 14.52%. [2026-04-22T14:37:16.866Z] Top recommended movies for user id 72: [2026-04-22T14:37:16.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:37:16.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:37:16.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:37:16.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:37:16.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:37:16.866Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11491.258 ms) ====== [2026-04-22T14:37:16.866Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:37:17.184Z] GC before operation: completed in 124.655 ms, heap usage 465.210 MB -> 91.270 MB. [2026-04-22T14:37:18.837Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:20.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:22.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:24.294Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:24.979Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:26.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:27.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:28.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:28.682Z] 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. [2026-04-22T14:37:28.682Z] The best model improves the baseline by 14.52%. [2026-04-22T14:37:28.682Z] Top recommended movies for user id 72: [2026-04-22T14:37:28.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:37:28.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:37:28.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:37:28.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:37:28.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:37:28.682Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11554.401 ms) ====== [2026-04-22T14:37:28.682Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:37:28.682Z] GC before operation: completed in 114.664 ms, heap usage 382.920 MB -> 91.327 MB. [2026-04-22T14:37:30.879Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:32.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:34.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:35.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:36.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:37.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:38.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:39.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:40.161Z] 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. [2026-04-22T14:37:40.161Z] The best model improves the baseline by 14.52%. [2026-04-22T14:37:40.161Z] Top recommended movies for user id 72: [2026-04-22T14:37:40.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:37:40.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:37:40.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:37:40.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:37:40.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:37:40.161Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11407.502 ms) ====== [2026-04-22T14:37:40.161Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:37:40.485Z] GC before operation: completed in 123.060 ms, heap usage 469.861 MB -> 91.225 MB. [2026-04-22T14:37:42.113Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:43.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:45.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:46.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:48.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:49.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:50.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:51.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:51.490Z] 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. [2026-04-22T14:37:51.490Z] The best model improves the baseline by 14.52%. [2026-04-22T14:37:51.808Z] Top recommended movies for user id 72: [2026-04-22T14:37:51.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:37:51.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:37:51.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:37:51.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:37:51.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:37:51.808Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11340.031 ms) ====== [2026-04-22T14:37:51.808Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:37:51.808Z] GC before operation: completed in 128.509 ms, heap usage 781.281 MB -> 95.092 MB. [2026-04-22T14:37:53.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:55.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:57.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:58.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:59.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:00.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:01.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:03.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:03.339Z] 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. [2026-04-22T14:38:03.339Z] The best model improves the baseline by 14.52%. [2026-04-22T14:38:03.339Z] Top recommended movies for user id 72: [2026-04-22T14:38:03.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:38:03.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:38:03.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:38:03.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:38:03.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:38:03.339Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11609.970 ms) ====== [2026-04-22T14:38:03.339Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:38:03.657Z] GC before operation: completed in 114.726 ms, heap usage 287.794 MB -> 91.430 MB. [2026-04-22T14:38:05.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:06.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:09.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:10.736Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:11.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:12.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:13.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:14.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:14.834Z] 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. [2026-04-22T14:38:14.834Z] The best model improves the baseline by 14.52%. [2026-04-22T14:38:15.152Z] Top recommended movies for user id 72: [2026-04-22T14:38:15.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:38:15.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:38:15.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:38:15.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:38:15.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:38:15.152Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11509.373 ms) ====== [2026-04-22T14:38:15.152Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:38:15.152Z] GC before operation: completed in 116.985 ms, heap usage 276.398 MB -> 91.158 MB. [2026-04-22T14:38:16.822Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:18.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:20.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:21.756Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:23.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:24.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:25.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:25.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:26.288Z] 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. [2026-04-22T14:38:26.288Z] The best model improves the baseline by 14.52%. [2026-04-22T14:38:26.288Z] Top recommended movies for user id 72: [2026-04-22T14:38:26.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:38:26.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:38:26.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:38:26.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:38:26.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:38:26.288Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11232.980 ms) ====== [2026-04-22T14:38:26.288Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:38:26.606Z] GC before operation: completed in 124.767 ms, heap usage 509.029 MB -> 91.749 MB. [2026-04-22T14:38:28.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:31.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:31.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:33.325Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:34.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:35.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:39.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:39.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:39.400Z] 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. [2026-04-22T14:38:39.400Z] The best model improves the baseline by 14.52%. [2026-04-22T14:38:39.400Z] Top recommended movies for user id 72: [2026-04-22T14:38:39.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:38:39.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:38:39.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:38:39.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:38:39.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:38:39.400Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11334.622 ms) ====== [2026-04-22T14:38:39.400Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:38:39.400Z] GC before operation: completed in 104.658 ms, heap usage 196.357 MB -> 91.149 MB. [2026-04-22T14:38:40.082Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:43.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:43.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:44.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:45.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:46.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:47.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:48.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:49.131Z] 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. [2026-04-22T14:38:49.131Z] The best model improves the baseline by 14.52%. [2026-04-22T14:38:49.131Z] Top recommended movies for user id 72: [2026-04-22T14:38:49.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:38:49.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:38:49.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:38:49.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:38:49.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:38:49.131Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11168.325 ms) ====== [2026-04-22T14:38:49.131Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:38:49.132Z] GC before operation: completed in 116.691 ms, heap usage 350.743 MB -> 91.467 MB. [2026-04-22T14:38:52.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:52.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:54.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:55.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:59.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:59.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:59.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:39:00.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:39:03.404Z] 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. [2026-04-22T14:39:03.404Z] The best model improves the baseline by 14.52%. [2026-04-22T14:39:03.404Z] Top recommended movies for user id 72: [2026-04-22T14:39:03.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:39:03.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:39:03.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:39:03.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:39:03.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:39:03.404Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11289.169 ms) ====== [2026-04-22T14:39:03.404Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:39:03.404Z] GC before operation: completed in 115.855 ms, heap usage 652.073 MB -> 94.859 MB. [2026-04-22T14:39:03.404Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:39:03.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:39:05.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:39:08.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:39:08.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:39:11.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:39:11.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:39:11.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:39:12.245Z] 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. [2026-04-22T14:39:12.245Z] The best model improves the baseline by 14.52%. [2026-04-22T14:39:12.245Z] Top recommended movies for user id 72: [2026-04-22T14:39:12.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:39:12.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:39:12.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:39:12.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:39:12.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:39:12.245Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11365.802 ms) ====== [2026-04-22T14:39:12.245Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T14:39:12.245Z] GC before operation: completed in 114.370 ms, heap usage 192.586 MB -> 91.269 MB. [2026-04-22T14:39:13.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:39:15.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:39:17.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:39:18.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:39:19.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:39:21.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:39:22.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:39:22.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:39:23.196Z] 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. [2026-04-22T14:39:23.196Z] The best model improves the baseline by 14.52%. [2026-04-22T14:39:23.196Z] Top recommended movies for user id 72: [2026-04-22T14:39:23.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:39:23.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:39:23.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:39:23.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:39:23.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:39:23.196Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11217.747 ms) ====== [2026-04-22T14:39:24.311Z] ----------------------------------- [2026-04-22T14:39:24.311Z] renaissance-movie-lens_0_PASSED [2026-04-22T14:39:24.311Z] ----------------------------------- [2026-04-22T14:39:24.311Z] [2026-04-22T14:39:24.311Z] TEST TEARDOWN: [2026-04-22T14:39:24.311Z] Nothing to be done for teardown. [2026-04-22T14:39:24.311Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 14:39:23 2026 Epoch Time (ms): 1776868763921