[2026-04-22T14:43:50.536Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:43:50.536Z] =============================================== [2026-04-22T14:43:50.536Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:43:49 2026 Epoch Time (ms): 1776869030004 [2026-04-22T14:43:50.536Z] variation: NoOptions [2026-04-22T14:43:50.536Z] JVM_OPTIONS: [2026-04-22T14:43:50.536Z] { \ [2026-04-22T14:43:50.536Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:43:50.536Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:43:50.536Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768681701978/renaissance-movie-lens_0"; \ [2026-04-22T14:43:50.536Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768681701978/renaissance-movie-lens_0"; \ [2026-04-22T14:43:50.536Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:43:50.536Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768681701978/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:43:50.536Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768681701978/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:43:50.536Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:43:50.536Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:43:50.536Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768681701978/TestTargetResult"; [2026-04-22T14:43:50.536Z] [2026-04-22T14:43:50.536Z] TEST SETUP: [2026-04-22T14:43:50.536Z] Nothing to be done for setup. [2026-04-22T14:43:50.536Z] [2026-04-22T14:43:50.536Z] TESTING: [2026-04-22T14:43:55.938Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:44:02.615Z] 14:44:01.716 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. [2026-04-22T14:44:04.585Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:44:04.585Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:44:04.585Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:44:05.539Z] GC before operation: completed in 139.657 ms, heap usage 232.718 MB -> 75.801 MB. [2026-04-22T14:44:12.259Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:15.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:19.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:22.428Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:24.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:25.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:44:27.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:44:29.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:44:29.235Z] 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. [2026-04-22T14:44:29.235Z] The best model improves the baseline by 14.52%. [2026-04-22T14:44:29.235Z] Top recommended movies for user id 72: [2026-04-22T14:44:29.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:44:29.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:44:29.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:44:29.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:44:29.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:44:29.235Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24474.162 ms) ====== [2026-04-22T14:44:29.235Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:44:30.185Z] GC before operation: completed in 140.150 ms, heap usage 553.077 MB -> 90.596 MB. [2026-04-22T14:44:32.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:35.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:38.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:40.296Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:42.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:43.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:44:45.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:44:46.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:44:47.052Z] 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. [2026-04-22T14:44:47.052Z] The best model improves the baseline by 14.52%. [2026-04-22T14:44:47.052Z] Top recommended movies for user id 72: [2026-04-22T14:44:47.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:44:47.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:44:47.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:44:47.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:44:47.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:44:47.052Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17169.616 ms) ====== [2026-04-22T14:44:47.052Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:44:47.052Z] GC before operation: completed in 138.445 ms, heap usage 364.790 MB -> 91.376 MB. [2026-04-22T14:44:50.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:52.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:55.038Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:56.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:57.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:59.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:00.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:02.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:02.836Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:45:02.836Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:02.836Z] Top recommended movies for user id 72: [2026-04-22T14:45:02.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:02.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:02.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:02.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:02.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:02.836Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15923.238 ms) ====== [2026-04-22T14:45:02.836Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:45:02.836Z] GC before operation: completed in 144.252 ms, heap usage 323.748 MB -> 92.856 MB. [2026-04-22T14:45:05.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:07.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:09.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:11.807Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:13.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:14.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:16.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:17.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:17.642Z] 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. [2026-04-22T14:45:17.642Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:18.594Z] Top recommended movies for user id 72: [2026-04-22T14:45:18.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:18.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:18.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:18.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:18.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:18.594Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15030.852 ms) ====== [2026-04-22T14:45:18.594Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:45:18.594Z] GC before operation: completed in 133.772 ms, heap usage 777.598 MB -> 93.714 MB. [2026-04-22T14:45:20.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:22.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:25.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:27.469Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:29.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:30.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:32.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:33.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:33.285Z] 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. [2026-04-22T14:45:33.285Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:34.236Z] Top recommended movies for user id 72: [2026-04-22T14:45:34.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:34.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:34.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:34.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:34.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:34.236Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15439.901 ms) ====== [2026-04-22T14:45:34.236Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:45:34.236Z] GC before operation: completed in 174.897 ms, heap usage 266.081 MB -> 89.664 MB. [2026-04-22T14:45:36.187Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:38.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:41.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:43.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:44.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:46.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:46.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:48.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:48.931Z] 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. [2026-04-22T14:45:48.931Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:48.931Z] Top recommended movies for user id 72: [2026-04-22T14:45:48.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:48.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:48.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:48.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:48.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:48.931Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15059.226 ms) ====== [2026-04-22T14:45:48.931Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:45:48.931Z] GC before operation: completed in 144.631 ms, heap usage 601.499 MB -> 93.632 MB. [2026-04-22T14:45:51.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:53.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:55.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:57.854Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:58.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:00.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:01.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:03.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:03.703Z] 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. [2026-04-22T14:46:03.703Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:03.703Z] Top recommended movies for user id 72: [2026-04-22T14:46:03.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:03.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:03.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:03.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:03.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:03.703Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14552.236 ms) ====== [2026-04-22T14:46:03.703Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:46:03.703Z] GC before operation: completed in 126.901 ms, heap usage 324.058 MB -> 93.426 MB. [2026-04-22T14:46:05.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:08.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:10.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:12.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:14.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:15.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:17.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:18.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:18.550Z] 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. [2026-04-22T14:46:18.550Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:18.550Z] Top recommended movies for user id 72: [2026-04-22T14:46:18.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:18.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:18.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:18.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:18.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:18.550Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15168.929 ms) ====== [2026-04-22T14:46:18.550Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:46:19.498Z] GC before operation: completed in 117.848 ms, heap usage 361.093 MB -> 91.509 MB. [2026-04-22T14:46:21.448Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:23.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:26.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:28.364Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:29.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:31.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:32.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:34.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:34.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:46:34.173Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:34.173Z] Top recommended movies for user id 72: [2026-04-22T14:46:34.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:34.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:34.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:34.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:34.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:34.173Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15201.991 ms) ====== [2026-04-22T14:46:34.173Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:46:34.173Z] GC before operation: completed in 235.363 ms, heap usage 314.736 MB -> 92.314 MB. [2026-04-22T14:46:37.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:39.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:41.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:43.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:44.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:45.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:46.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:48.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:48.887Z] 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. [2026-04-22T14:46:48.887Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:48.887Z] Top recommended movies for user id 72: [2026-04-22T14:46:48.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:48.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:48.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:48.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:48.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:48.887Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14581.294 ms) ====== [2026-04-22T14:46:48.887Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:46:48.887Z] GC before operation: completed in 166.858 ms, heap usage 493.056 MB -> 92.844 MB. [2026-04-22T14:46:51.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:54.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:56.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:59.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:00.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:01.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:03.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:04.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:04.705Z] 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. [2026-04-22T14:47:04.705Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:05.907Z] Top recommended movies for user id 72: [2026-04-22T14:47:05.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:05.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:05.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:05.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:05.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:05.907Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16025.081 ms) ====== [2026-04-22T14:47:05.907Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:47:05.907Z] GC before operation: completed in 195.162 ms, heap usage 239.763 MB -> 94.070 MB. [2026-04-22T14:47:07.857Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:09.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:11.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:13.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:14.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:16.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:17.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:19.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:19.547Z] 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. [2026-04-22T14:47:19.547Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:19.547Z] Top recommended movies for user id 72: [2026-04-22T14:47:19.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:19.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:19.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:19.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:19.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:19.547Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13973.841 ms) ====== [2026-04-22T14:47:19.547Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:47:19.547Z] GC before operation: completed in 156.203 ms, heap usage 935.380 MB -> 94.956 MB. [2026-04-22T14:47:21.498Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:24.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:26.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:28.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:29.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:31.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:32.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:34.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:34.335Z] 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. [2026-04-22T14:47:34.335Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:34.335Z] Top recommended movies for user id 72: [2026-04-22T14:47:34.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:34.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:34.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:34.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:34.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:34.335Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14692.790 ms) ====== [2026-04-22T14:47:34.335Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:47:34.335Z] GC before operation: completed in 119.261 ms, heap usage 246.745 MB -> 95.895 MB. [2026-04-22T14:47:36.287Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:38.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:41.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:43.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:44.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:45.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:47.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:48.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:48.009Z] 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. [2026-04-22T14:47:48.010Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:48.961Z] Top recommended movies for user id 72: [2026-04-22T14:47:48.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:48.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:48.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:48.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:48.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:48.962Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14161.633 ms) ====== [2026-04-22T14:47:48.962Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:47:48.962Z] GC before operation: completed in 131.515 ms, heap usage 696.330 MB -> 93.999 MB. [2026-04-22T14:47:50.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:53.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:55.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:57.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:59.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:00.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:01.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:03.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:03.688Z] 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. [2026-04-22T14:48:03.688Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:03.688Z] Top recommended movies for user id 72: [2026-04-22T14:48:03.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:03.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:03.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:03.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:03.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:03.688Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15146.841 ms) ====== [2026-04-22T14:48:03.688Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:48:03.688Z] GC before operation: completed in 124.270 ms, heap usage 262.674 MB -> 96.001 MB. [2026-04-22T14:48:06.704Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:10.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:10.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:12.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:13.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:15.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:16.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:18.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:18.208Z] 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. [2026-04-22T14:48:18.208Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:18.208Z] Top recommended movies for user id 72: [2026-04-22T14:48:18.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:18.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:18.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:18.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:18.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:18.208Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14127.833 ms) ====== [2026-04-22T14:48:18.208Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:48:18.208Z] GC before operation: completed in 126.815 ms, heap usage 371.683 MB -> 90.353 MB. [2026-04-22T14:48:20.158Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:22.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:25.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:27.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:28.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:28.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:30.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:31.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:31.897Z] 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. [2026-04-22T14:48:31.897Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:31.897Z] Top recommended movies for user id 72: [2026-04-22T14:48:31.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:31.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:31.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:31.897Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:31.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:31.897Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13784.409 ms) ====== [2026-04-22T14:48:31.897Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:48:31.897Z] GC before operation: completed in 119.549 ms, heap usage 531.839 MB -> 93.914 MB. [2026-04-22T14:48:33.850Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:36.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:38.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:40.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:41.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:42.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:44.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:45.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:45.594Z] 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. [2026-04-22T14:48:45.594Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:45.594Z] Top recommended movies for user id 72: [2026-04-22T14:48:45.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:45.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:45.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:45.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:45.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:45.594Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13737.253 ms) ====== [2026-04-22T14:48:45.594Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:48:45.594Z] GC before operation: completed in 116.232 ms, heap usage 435.276 MB -> 92.284 MB. [2026-04-22T14:48:48.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:49.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:52.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:54.622Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:55.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:56.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:58.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:59.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:59.424Z] 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. [2026-04-22T14:48:59.424Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:59.424Z] Top recommended movies for user id 72: [2026-04-22T14:48:59.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:59.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:59.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:59.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:59.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:59.424Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13800.125 ms) ====== [2026-04-22T14:48:59.424Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T14:49:00.378Z] GC before operation: completed in 122.985 ms, heap usage 429.854 MB -> 92.744 MB. [2026-04-22T14:49:02.330Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:49:04.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:49:06.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:49:08.234Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:49:10.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:49:11.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:49:13.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:49:14.042Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:49:14.042Z] 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. [2026-04-22T14:49:14.042Z] The best model improves the baseline by 14.52%. [2026-04-22T14:49:14.042Z] Top recommended movies for user id 72: [2026-04-22T14:49:14.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:49:14.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:49:14.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:49:14.042Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:49:14.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:49:14.042Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14422.890 ms) ====== [2026-04-22T14:49:14.993Z] ----------------------------------- [2026-04-22T14:49:14.993Z] renaissance-movie-lens_0_PASSED [2026-04-22T14:49:14.993Z] ----------------------------------- [2026-04-22T14:49:14.993Z] [2026-04-22T14:49:14.993Z] TEST TEARDOWN: [2026-04-22T14:49:14.993Z] Nothing to be done for teardown. [2026-04-22T14:49:14.993Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 14:49:14 2026 Epoch Time (ms): 1776869354362