[2026-04-22T14:41:25.882Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:41:25.882Z] =============================================== [2026-04-22T14:41:25.882Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:41:25 2026 Epoch Time (ms): 1776868885765 [2026-04-22T14:41:25.882Z] variation: NoOptions [2026-04-22T14:41:25.882Z] JVM_OPTIONS: [2026-04-22T14:41:25.882Z] { \ [2026-04-22T14:41:25.882Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:41:25.882Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:41:25.882Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768676246767/renaissance-movie-lens_0"; \ [2026-04-22T14:41:25.882Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768676246767/renaissance-movie-lens_0"; \ [2026-04-22T14:41:25.882Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:41:25.882Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768676246767/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:41:25.882Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768676246767/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:41:25.882Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:41:25.882Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:41:25.882Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768676246767/TestTargetResult"; [2026-04-22T14:41:25.882Z] [2026-04-22T14:41:25.882Z] TEST SETUP: [2026-04-22T14:41:25.882Z] Nothing to be done for setup. [2026-04-22T14:41:25.882Z] [2026-04-22T14:41:25.882Z] TESTING: [2026-04-22T14:41:33.403Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:41:44.689Z] 14:41:42.746 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:41:46.514Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:41:47.799Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:41:47.799Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:41:48.176Z] GC before operation: completed in 139.595 ms, heap usage 187.154 MB -> 75.561 MB. [2026-04-22T14:41:59.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:42:03.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:42:08.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:42:12.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:42:15.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:42:17.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:42:20.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:42:22.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:42:22.909Z] 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. [2026-04-22T14:42:22.909Z] The best model improves the baseline by 14.52%. [2026-04-22T14:42:23.288Z] Top recommended movies for user id 72: [2026-04-22T14:42:23.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:42:23.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:42:23.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:42:23.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:42:23.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:42:23.288Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35286.818 ms) ====== [2026-04-22T14:42:23.288Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:42:23.650Z] GC before operation: completed in 130.258 ms, heap usage 500.696 MB -> 86.680 MB. [2026-04-22T14:42:27.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:42:32.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:42:35.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:42:39.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:42:41.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:42:43.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:42:45.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:42:47.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:42:48.098Z] 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. [2026-04-22T14:42:48.098Z] The best model improves the baseline by 14.52%. [2026-04-22T14:42:48.454Z] Top recommended movies for user id 72: [2026-04-22T14:42:48.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:42:48.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:42:48.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:42:48.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:42:48.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:42:48.454Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24883.191 ms) ====== [2026-04-22T14:42:48.454Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:42:48.454Z] GC before operation: completed in 128.132 ms, heap usage 579.165 MB -> 94.568 MB. [2026-04-22T14:42:52.448Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:42:55.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:42:59.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:43:02.922Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:43:04.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:43:07.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:43:08.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:43:11.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:43:11.333Z] 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. [2026-04-22T14:43:11.333Z] The best model improves the baseline by 14.52%. [2026-04-22T14:43:11.695Z] Top recommended movies for user id 72: [2026-04-22T14:43:11.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:43:11.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:43:11.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:43:11.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:43:11.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:43:11.695Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23255.225 ms) ====== [2026-04-22T14:43:11.695Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:43:12.044Z] GC before operation: completed in 143.924 ms, heap usage 239.895 MB -> 92.399 MB. [2026-04-22T14:43:16.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:43:19.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:43:22.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:43:25.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:43:27.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:43:29.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:43:31.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:43:33.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:43:33.667Z] 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. [2026-04-22T14:43:33.667Z] The best model improves the baseline by 14.52%. [2026-04-22T14:43:34.019Z] Top recommended movies for user id 72: [2026-04-22T14:43:34.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:43:34.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:43:34.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:43:34.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:43:34.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:43:34.019Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22163.797 ms) ====== [2026-04-22T14:43:34.019Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:43:34.369Z] GC before operation: completed in 137.242 ms, heap usage 314.316 MB -> 91.690 MB. [2026-04-22T14:43:38.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:43:41.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:43:44.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:43:47.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:43:50.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:43:52.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:43:53.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:43:56.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:43:56.285Z] 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. [2026-04-22T14:43:56.285Z] The best model improves the baseline by 14.52%. [2026-04-22T14:43:56.285Z] Top recommended movies for user id 72: [2026-04-22T14:43:56.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:43:56.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:43:56.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:43:56.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:43:56.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:43:56.285Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22208.132 ms) ====== [2026-04-22T14:43:56.285Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:43:56.639Z] GC before operation: completed in 132.273 ms, heap usage 305.736 MB -> 91.655 MB. [2026-04-22T14:44:00.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:03.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:06.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:09.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:11.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:12.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:44:15.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:44:16.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:44:17.236Z] 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. [2026-04-22T14:44:17.236Z] The best model improves the baseline by 14.52%. [2026-04-22T14:44:17.236Z] Top recommended movies for user id 72: [2026-04-22T14:44:17.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:44:17.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:44:17.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:44:17.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:44:17.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:44:17.236Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20843.755 ms) ====== [2026-04-22T14:44:17.236Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:44:17.592Z] GC before operation: completed in 129.800 ms, heap usage 293.078 MB -> 92.605 MB. [2026-04-22T14:44:21.614Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:24.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:27.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:31.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:32.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:34.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:44:35.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:44:37.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:44:38.061Z] 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. [2026-04-22T14:44:38.061Z] The best model improves the baseline by 14.52%. [2026-04-22T14:44:38.421Z] Top recommended movies for user id 72: [2026-04-22T14:44:38.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:44:38.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:44:38.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:44:38.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:44:38.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:44:38.421Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20862.155 ms) ====== [2026-04-22T14:44:38.421Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:44:38.421Z] GC before operation: completed in 132.448 ms, heap usage 489.941 MB -> 92.343 MB. [2026-04-22T14:44:42.455Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:44:44.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:44:47.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:44:51.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:44:52.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:44:54.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:44:56.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:44:57.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:44:58.210Z] 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. [2026-04-22T14:44:58.210Z] The best model improves the baseline by 14.52%. [2026-04-22T14:44:58.574Z] Top recommended movies for user id 72: [2026-04-22T14:44:58.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:44:58.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:44:58.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:44:58.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:44:58.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:44:58.574Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19946.239 ms) ====== [2026-04-22T14:44:58.574Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:44:58.574Z] GC before operation: completed in 131.845 ms, heap usage 370.428 MB -> 93.157 MB. [2026-04-22T14:45:01.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:04.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:07.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:09.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:11.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:13.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:15.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:16.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:17.215Z] 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. [2026-04-22T14:45:17.215Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:17.215Z] Top recommended movies for user id 72: [2026-04-22T14:45:17.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:17.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:17.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:17.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:17.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:17.215Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18738.267 ms) ====== [2026-04-22T14:45:17.215Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:45:17.585Z] GC before operation: completed in 128.867 ms, heap usage 487.594 MB -> 92.447 MB. [2026-04-22T14:45:20.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:23.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:26.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:28.790Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:30.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:32.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:34.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:35.876Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:36.242Z] 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. [2026-04-22T14:45:36.242Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:36.609Z] Top recommended movies for user id 72: [2026-04-22T14:45:36.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:36.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:36.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:36.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:36.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:36.609Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19010.554 ms) ====== [2026-04-22T14:45:36.609Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:45:36.609Z] GC before operation: completed in 135.381 ms, heap usage 671.245 MB -> 93.817 MB. [2026-04-22T14:45:39.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:45:42.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:45:45.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:45:47.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:45:49.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:45:51.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:45:53.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:45:55.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:45:55.072Z] 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. [2026-04-22T14:45:55.072Z] The best model improves the baseline by 14.52%. [2026-04-22T14:45:55.440Z] Top recommended movies for user id 72: [2026-04-22T14:45:55.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:45:55.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:45:55.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:45:55.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:45:55.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:45:55.440Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18688.130 ms) ====== [2026-04-22T14:45:55.440Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:45:55.440Z] GC before operation: completed in 123.710 ms, heap usage 257.378 MB -> 89.703 MB. [2026-04-22T14:45:58.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:01.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:04.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:06.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:08.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:10.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:12.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:13.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:13.741Z] 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. [2026-04-22T14:46:13.741Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:14.102Z] Top recommended movies for user id 72: [2026-04-22T14:46:14.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:14.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:14.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:14.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:14.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:14.102Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18619.221 ms) ====== [2026-04-22T14:46:14.102Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:46:14.102Z] GC before operation: completed in 133.771 ms, heap usage 424.874 MB -> 90.233 MB. [2026-04-22T14:46:17.213Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:19.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:22.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:25.879Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:27.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:29.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:30.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:32.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:33.006Z] 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. [2026-04-22T14:46:33.006Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:33.386Z] Top recommended movies for user id 72: [2026-04-22T14:46:33.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:33.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:33.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:33.386Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:33.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:33.386Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19016.197 ms) ====== [2026-04-22T14:46:33.386Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:46:33.386Z] GC before operation: completed in 123.283 ms, heap usage 253.373 MB -> 90.106 MB. [2026-04-22T14:46:36.583Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:39.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:42.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:44.596Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:47.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:48.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:50.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:51.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:52.236Z] 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. [2026-04-22T14:46:52.236Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:52.236Z] Top recommended movies for user id 72: [2026-04-22T14:46:52.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:52.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:52.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:52.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:52.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:52.236Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19039.637 ms) ====== [2026-04-22T14:46:52.236Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:46:52.599Z] GC before operation: completed in 124.582 ms, heap usage 211.661 MB -> 89.825 MB. [2026-04-22T14:46:55.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:58.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:02.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:05.241Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:07.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:08.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:10.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:12.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:12.375Z] 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. [2026-04-22T14:47:12.376Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:12.727Z] Top recommended movies for user id 72: [2026-04-22T14:47:12.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:12.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:12.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:12.727Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:12.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:12.727Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20171.505 ms) ====== [2026-04-22T14:47:12.727Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:47:12.727Z] GC before operation: completed in 134.251 ms, heap usage 280.837 MB -> 92.636 MB. [2026-04-22T14:47:15.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:18.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:22.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:24.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:26.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:28.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:29.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:31.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:31.686Z] 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. [2026-04-22T14:47:31.686Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:32.037Z] Top recommended movies for user id 72: [2026-04-22T14:47:32.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:32.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:32.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:32.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:32.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:32.037Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19174.731 ms) ====== [2026-04-22T14:47:32.037Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:47:32.037Z] GC before operation: completed in 129.374 ms, heap usage 471.074 MB -> 90.311 MB. [2026-04-22T14:47:35.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:37.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:40.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:43.792Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:45.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:46.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:48.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:50.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:50.355Z] 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. [2026-04-22T14:47:50.705Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:50.705Z] Top recommended movies for user id 72: [2026-04-22T14:47:50.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:50.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:50.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:50.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:50.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:50.705Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18624.070 ms) ====== [2026-04-22T14:47:50.705Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:47:50.705Z] GC before operation: completed in 131.845 ms, heap usage 355.484 MB -> 90.296 MB. [2026-04-22T14:47:53.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:57.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:59.506Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:02.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:03.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:05.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:07.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:08.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:09.120Z] 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. [2026-04-22T14:48:09.120Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:09.472Z] Top recommended movies for user id 72: [2026-04-22T14:48:09.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:09.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:09.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:09.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:09.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:09.472Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18629.960 ms) ====== [2026-04-22T14:48:09.472Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:48:09.472Z] GC before operation: completed in 127.112 ms, heap usage 239.638 MB -> 89.911 MB. [2026-04-22T14:48:12.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:15.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:18.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:21.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:22.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:24.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:26.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:27.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:27.888Z] 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. [2026-04-22T14:48:27.888Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:28.237Z] Top recommended movies for user id 72: [2026-04-22T14:48:28.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:28.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:28.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:28.237Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:28.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:28.237Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18634.370 ms) ====== [2026-04-22T14:48:28.237Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T14:48:28.237Z] GC before operation: completed in 129.457 ms, heap usage 735.925 MB -> 93.968 MB. [2026-04-22T14:48:32.205Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:35.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:37.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:40.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:42.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:43.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:45.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:47.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:47.611Z] 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. [2026-04-22T14:48:47.962Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:47.962Z] Top recommended movies for user id 72: [2026-04-22T14:48:47.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:47.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:47.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:47.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:47.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:47.962Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19619.033 ms) ====== [2026-04-22T14:48:48.716Z] ----------------------------------- [2026-04-22T14:48:48.716Z] renaissance-movie-lens_0_PASSED [2026-04-22T14:48:48.716Z] ----------------------------------- [2026-04-22T14:48:48.716Z] [2026-04-22T14:48:48.716Z] TEST TEARDOWN: [2026-04-22T14:48:48.716Z] Nothing to be done for teardown. [2026-04-22T14:48:48.716Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 14:48:48 2026 Epoch Time (ms): 1776869328531