[2026-04-21T22:46:43.402Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:46:43.402Z] =============================================== [2026-04-21T22:46:43.402Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:46:43 2026 Epoch Time (ms): 1776811603186 [2026-04-21T22:46:43.402Z] variation: NoOptions [2026-04-21T22:46:43.402Z] JVM_OPTIONS: [2026-04-21T22:46:43.402Z] { \ [2026-04-21T22:46:43.402Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:46:43.402Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:46:43.402Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768107939831/renaissance-movie-lens_0"; \ [2026-04-21T22:46:43.402Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768107939831/renaissance-movie-lens_0"; \ [2026-04-21T22:46:43.402Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:46:43.402Z] "/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_17768107939831/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:46:43.402Z] 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_17768107939831/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:46:43.402Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:46:43.402Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:46:43.402Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17768107939831/TestTargetResult"; [2026-04-21T22:46:43.402Z] [2026-04-21T22:46:43.402Z] TEST SETUP: [2026-04-21T22:46:43.402Z] Nothing to be done for setup. [2026-04-21T22:46:43.402Z] [2026-04-21T22:46:43.402Z] TESTING: [2026-04-21T22:46:48.144Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:46:53.954Z] 22:46:53.522 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. [2026-04-21T22:46:56.844Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:46:57.162Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:46:57.162Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:46:57.162Z] GC before operation: completed in 153.967 ms, heap usage 230.624 MB -> 76.609 MB. [2026-04-21T22:47:04.341Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:08.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:11.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:14.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:16.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:17.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:47:19.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:47:20.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:47:20.536Z] 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. [2026-04-21T22:47:20.536Z] The best model improves the baseline by 14.52%. [2026-04-21T22:47:20.858Z] Top recommended movies for user id 72: [2026-04-21T22:47:20.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:47:20.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:47:20.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:47:20.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:47:20.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:47:20.858Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23508.209 ms) ====== [2026-04-21T22:47:20.858Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:47:20.858Z] GC before operation: completed in 221.388 ms, heap usage 393.090 MB -> 96.252 MB. [2026-04-21T22:47:23.835Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:26.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:28.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:30.468Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:31.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:32.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:47:33.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:47:35.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:47:35.446Z] 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. [2026-04-21T22:47:35.446Z] The best model improves the baseline by 14.52%. [2026-04-21T22:47:35.446Z] Top recommended movies for user id 72: [2026-04-21T22:47:35.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:47:35.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:47:35.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:47:35.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:47:35.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:47:35.446Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14587.702 ms) ====== [2026-04-21T22:47:35.446Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:47:35.766Z] GC before operation: completed in 112.758 ms, heap usage 785.774 MB -> 96.838 MB. [2026-04-21T22:47:37.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:40.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:41.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:44.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:45.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:46.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:47:47.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:47:48.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:47:48.878Z] 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. [2026-04-21T22:47:48.878Z] The best model improves the baseline by 14.52%. [2026-04-21T22:47:48.878Z] Top recommended movies for user id 72: [2026-04-21T22:47:48.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:47:48.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:47:48.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:47:48.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:47:48.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:47:48.878Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13294.680 ms) ====== [2026-04-21T22:47:48.878Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:47:49.198Z] GC before operation: completed in 108.546 ms, heap usage 770.299 MB -> 96.433 MB. [2026-04-21T22:47:51.406Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:53.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:55.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:56.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:58.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:59.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:00.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:01.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:01.890Z] 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. [2026-04-21T22:48:01.890Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:02.209Z] Top recommended movies for user id 72: [2026-04-21T22:48:02.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:02.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:02.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:02.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:02.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:02.209Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13069.548 ms) ====== [2026-04-21T22:48:02.209Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:48:02.209Z] GC before operation: completed in 121.478 ms, heap usage 955.750 MB -> 95.048 MB. [2026-04-21T22:48:05.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:06.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:08.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:10.598Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:11.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:12.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:14.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:15.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:15.680Z] 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. [2026-04-21T22:48:15.680Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:16.013Z] Top recommended movies for user id 72: [2026-04-21T22:48:16.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:16.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:16.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:16.013Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:16.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:16.013Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13629.203 ms) ====== [2026-04-21T22:48:16.013Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:48:16.013Z] GC before operation: completed in 141.059 ms, heap usage 238.401 MB -> 90.266 MB. [2026-04-21T22:48:18.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:21.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:22.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:24.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:25.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:26.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:28.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:29.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:29.411Z] 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. [2026-04-21T22:48:29.411Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:29.733Z] Top recommended movies for user id 72: [2026-04-21T22:48:29.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:29.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:29.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:29.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:29.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:29.733Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13652.888 ms) ====== [2026-04-21T22:48:29.733Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:48:29.733Z] GC before operation: completed in 109.588 ms, heap usage 191.882 MB -> 90.535 MB. [2026-04-21T22:48:31.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:33.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:35.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:37.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:38.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:39.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:40.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:41.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:41.514Z] 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. [2026-04-21T22:48:41.514Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:41.832Z] Top recommended movies for user id 72: [2026-04-21T22:48:41.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:41.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:41.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:41.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:41.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:41.832Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11926.099 ms) ====== [2026-04-21T22:48:41.832Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:48:41.832Z] GC before operation: completed in 107.350 ms, heap usage 921.436 MB -> 95.199 MB. [2026-04-21T22:48:43.451Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:45.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:47.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:48.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:50.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:51.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:52.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:53.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:53.392Z] 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. [2026-04-21T22:48:53.392Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:53.392Z] Top recommended movies for user id 72: [2026-04-21T22:48:53.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:53.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:53.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:53.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:53.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:53.392Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11647.673 ms) ====== [2026-04-21T22:48:53.392Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:48:53.711Z] GC before operation: completed in 118.243 ms, heap usage 867.785 MB -> 95.041 MB. [2026-04-21T22:48:55.329Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:57.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:59.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:00.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:01.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:03.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:04.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:05.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:05.328Z] 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. [2026-04-21T22:49:05.328Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:05.328Z] Top recommended movies for user id 72: [2026-04-21T22:49:05.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:05.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:05.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:05.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:05.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:05.328Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11816.431 ms) ====== [2026-04-21T22:49:05.328Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:49:05.648Z] GC before operation: completed in 116.927 ms, heap usage 257.631 MB -> 90.734 MB. [2026-04-21T22:49:07.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:08.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:11.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:12.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:13.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:14.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:15.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:16.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:17.160Z] 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. [2026-04-21T22:49:17.160Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:17.160Z] Top recommended movies for user id 72: [2026-04-21T22:49:17.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:17.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:17.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:17.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:17.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:17.160Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11732.789 ms) ====== [2026-04-21T22:49:17.160Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:49:17.479Z] GC before operation: completed in 118.718 ms, heap usage 921.531 MB -> 95.590 MB. [2026-04-21T22:49:19.108Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:21.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:22.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:24.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:25.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:26.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:27.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:29.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:29.049Z] 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. [2026-04-21T22:49:29.049Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:29.049Z] Top recommended movies for user id 72: [2026-04-21T22:49:29.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:29.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:29.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:29.049Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:29.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:29.049Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11797.324 ms) ====== [2026-04-21T22:49:29.049Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:49:29.368Z] GC before operation: completed in 105.616 ms, heap usage 284.856 MB -> 90.769 MB. [2026-04-21T22:49:31.039Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:32.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:34.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:36.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:37.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:38.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:39.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:40.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:40.887Z] 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. [2026-04-21T22:49:40.887Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:40.887Z] Top recommended movies for user id 72: [2026-04-21T22:49:40.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:40.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:40.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:40.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:40.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:40.887Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11601.738 ms) ====== [2026-04-21T22:49:40.887Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:49:40.887Z] GC before operation: completed in 128.176 ms, heap usage 121.687 MB -> 94.569 MB. [2026-04-21T22:49:43.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:44.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:46.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:47.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:49.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:50.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:51.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:52.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:52.776Z] 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. [2026-04-21T22:49:52.776Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:52.776Z] Top recommended movies for user id 72: [2026-04-21T22:49:52.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:52.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:52.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:52.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:52.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:52.776Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11896.138 ms) ====== [2026-04-21T22:49:52.776Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:49:53.093Z] GC before operation: completed in 109.955 ms, heap usage 441.218 MB -> 91.264 MB. [2026-04-21T22:49:54.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:56.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:58.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:00.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:01.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:02.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:03.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:04.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:04.606Z] 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. [2026-04-21T22:50:04.606Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:04.923Z] Top recommended movies for user id 72: [2026-04-21T22:50:04.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:04.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:04.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:04.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:04.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:04.923Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11758.553 ms) ====== [2026-04-21T22:50:04.923Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:50:04.923Z] GC before operation: completed in 118.231 ms, heap usage 246.072 MB -> 90.778 MB. [2026-04-21T22:50:07.127Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:08.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:10.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:11.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:13.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:14.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:14.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:16.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:16.348Z] 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. [2026-04-21T22:50:16.348Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:16.348Z] Top recommended movies for user id 72: [2026-04-21T22:50:16.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:16.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:16.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:16.348Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:16.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:16.348Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11530.973 ms) ====== [2026-04-21T22:50:16.348Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:50:16.667Z] GC before operation: completed in 138.857 ms, heap usage 872.866 MB -> 95.518 MB. [2026-04-21T22:50:18.291Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:20.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:22.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:23.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:24.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:26.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:27.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:28.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:28.610Z] 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. [2026-04-21T22:50:28.610Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:28.610Z] Top recommended movies for user id 72: [2026-04-21T22:50:28.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:28.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:28.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:28.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:28.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:28.611Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12128.950 ms) ====== [2026-04-21T22:50:28.611Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:50:28.930Z] GC before operation: completed in 113.544 ms, heap usage 898.941 MB -> 97.790 MB. [2026-04-21T22:50:31.134Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:34.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:36.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:37.861Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:38.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:40.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:41.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:41.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:42.232Z] 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. [2026-04-21T22:50:42.232Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:42.232Z] Top recommended movies for user id 72: [2026-04-21T22:50:42.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:42.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:42.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:42.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:42.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:42.232Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13532.657 ms) ====== [2026-04-21T22:50:42.232Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:50:42.551Z] GC before operation: completed in 106.591 ms, heap usage 281.261 MB -> 91.027 MB. [2026-04-21T22:50:44.761Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:46.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:48.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:49.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:50.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:52.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:53.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:54.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:54.274Z] 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. [2026-04-21T22:50:54.274Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:54.274Z] Top recommended movies for user id 72: [2026-04-21T22:50:54.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:54.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:54.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:54.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:54.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:54.274Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11919.159 ms) ====== [2026-04-21T22:50:54.274Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:50:54.595Z] GC before operation: completed in 118.188 ms, heap usage 507.898 MB -> 91.187 MB. [2026-04-21T22:50:56.814Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:58.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:51:00.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:51:01.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:51:02.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:51:03.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:51:05.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:51:05.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:51:06.073Z] 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. [2026-04-21T22:51:06.073Z] The best model improves the baseline by 14.52%. [2026-04-21T22:51:06.073Z] Top recommended movies for user id 72: [2026-04-21T22:51:06.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:51:06.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:51:06.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:51:06.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:51:06.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:51:06.073Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11718.801 ms) ====== [2026-04-21T22:51:06.073Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:51:06.392Z] GC before operation: completed in 106.482 ms, heap usage 808.509 MB -> 95.090 MB. [2026-04-21T22:51:08.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:51:10.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:51:11.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:51:13.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:51:14.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:51:15.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:51:16.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:51:17.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:51:17.848Z] 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. [2026-04-21T22:51:17.848Z] The best model improves the baseline by 14.52%. [2026-04-21T22:51:17.848Z] Top recommended movies for user id 72: [2026-04-21T22:51:17.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:51:17.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:51:17.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:51:17.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:51:17.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:51:17.848Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11638.369 ms) ====== [2026-04-21T22:51:18.966Z] ----------------------------------- [2026-04-21T22:51:18.966Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:51:18.966Z] ----------------------------------- [2026-04-21T22:51:18.966Z] [2026-04-21T22:51:18.966Z] TEST TEARDOWN: [2026-04-21T22:51:18.966Z] Nothing to be done for teardown. [2026-04-21T22:51:18.966Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:51:18 2026 Epoch Time (ms): 1776811878618