[2026-04-25T14:50:03.649Z] Running test renaissance-movie-lens_0 ... [2026-04-25T14:50:03.649Z] =============================================== [2026-04-25T14:50:03.649Z] renaissance-movie-lens_0 Start Time: Sat Apr 25 14:50:03 2026 Epoch Time (ms): 1777128603042 [2026-04-25T14:50:03.649Z] variation: NoOptions [2026-04-25T14:50:03.649Z] JVM_OPTIONS: [2026-04-25T14:50:03.649Z] { \ [2026-04-25T14:50:03.649Z] echo ""; echo "TEST SETUP:"; \ [2026-04-25T14:50:03.649Z] echo "Nothing to be done for setup."; \ [2026-04-25T14:50:03.649Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1777127575267/renaissance-movie-lens_0"; \ [2026-04-25T14:50:03.649Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1777127575267/renaissance-movie-lens_0"; \ [2026-04-25T14:50:03.649Z] echo ""; echo "TESTING:"; \ [2026-04-25T14:50:03.649Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1777127575267/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-25T14:50:03.649Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1777127575267/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-25T14:50:03.649Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-25T14:50:03.649Z] echo "Nothing to be done for teardown."; \ [2026-04-25T14:50:03.649Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1777127575267/TestTargetResult"; [2026-04-25T14:50:03.649Z] [2026-04-25T14:50:03.649Z] TEST SETUP: [2026-04-25T14:50:03.649Z] Nothing to be done for setup. [2026-04-25T14:50:03.649Z] [2026-04-25T14:50:03.649Z] TESTING: [2026-04-25T14:50:10.321Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-25T14:50:18.448Z] 14:50:17.100 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. [2026-04-25T14:50:20.395Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-25T14:50:20.395Z] Training: 60056, validation: 20285, test: 19854 [2026-04-25T14:50:20.395Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-25T14:50:20.395Z] GC before operation: completed in 160.347 ms, heap usage 199.054 MB -> 74.433 MB. [2026-04-25T14:50:27.070Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:50:30.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:50:33.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:50:37.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:50:39.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:50:41.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:50:43.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:50:45.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:50:50.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:50:50.688Z] The best model improves the baseline by 14.52%. [2026-04-25T14:50:50.688Z] Top recommended movies for user id 72: [2026-04-25T14:50:50.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:50:50.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:50:50.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:50:50.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:50:50.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:50:50.688Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25834.595 ms) ====== [2026-04-25T14:50:50.688Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-25T14:50:50.688Z] GC before operation: completed in 207.777 ms, heap usage 198.119 MB -> 85.422 MB. [2026-04-25T14:50:50.688Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:50:53.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:50:56.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:50:59.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:51:01.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:51:03.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:51:05.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:51:07.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:51:07.499Z] 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. [2026-04-25T14:51:07.499Z] The best model improves the baseline by 14.52%. [2026-04-25T14:51:07.499Z] Top recommended movies for user id 72: [2026-04-25T14:51:07.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:51:07.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:51:07.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:51:07.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:51:07.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:51:07.499Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21052.187 ms) ====== [2026-04-25T14:51:07.499Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-25T14:51:07.499Z] GC before operation: completed in 154.880 ms, heap usage 412.066 MB -> 87.783 MB. [2026-04-25T14:51:10.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:51:13.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:51:16.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:51:19.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:51:21.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:51:23.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:51:25.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:51:26.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:51:26.972Z] 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. [2026-04-25T14:51:26.972Z] The best model improves the baseline by 14.52%. [2026-04-25T14:51:26.972Z] Top recommended movies for user id 72: [2026-04-25T14:51:26.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:51:26.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:51:26.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:51:26.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:51:26.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:51:26.972Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19117.682 ms) ====== [2026-04-25T14:51:26.972Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-25T14:51:26.972Z] GC before operation: completed in 163.093 ms, heap usage 143.874 MB -> 88.058 MB. [2026-04-25T14:51:29.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:51:32.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:51:36.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:51:39.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:51:40.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:51:42.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:51:44.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:51:46.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:51:46.825Z] 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. [2026-04-25T14:51:46.825Z] The best model improves the baseline by 14.52%. [2026-04-25T14:51:46.825Z] Top recommended movies for user id 72: [2026-04-25T14:51:46.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:51:46.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:51:46.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:51:46.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:51:46.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:51:46.825Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19911.715 ms) ====== [2026-04-25T14:51:46.825Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-25T14:51:47.774Z] GC before operation: completed in 179.864 ms, heap usage 180.346 MB -> 88.425 MB. [2026-04-25T14:51:49.721Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:51:52.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:51:56.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:51:59.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:52:00.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:52:02.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:52:04.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:52:06.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:52:06.232Z] 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. [2026-04-25T14:52:06.232Z] The best model improves the baseline by 14.52%. [2026-04-25T14:52:07.178Z] Top recommended movies for user id 72: [2026-04-25T14:52:07.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:52:07.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:52:07.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:52:07.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:52:07.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:52:07.179Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19508.529 ms) ====== [2026-04-25T14:52:07.179Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-25T14:52:07.179Z] GC before operation: completed in 157.592 ms, heap usage 352.512 MB -> 88.527 MB. [2026-04-25T14:52:10.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:52:12.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:52:15.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:52:18.141Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:52:20.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:52:21.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:52:22.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:52:24.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:52:25.883Z] 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. [2026-04-25T14:52:25.883Z] The best model improves the baseline by 14.52%. [2026-04-25T14:52:25.883Z] Top recommended movies for user id 72: [2026-04-25T14:52:25.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:52:25.883Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:52:25.883Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:52:25.883Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:52:25.883Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:52:25.883Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18683.226 ms) ====== [2026-04-25T14:52:25.883Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-25T14:52:25.883Z] GC before operation: completed in 178.824 ms, heap usage 357.053 MB -> 88.841 MB. [2026-04-25T14:52:28.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:52:31.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:52:35.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:52:37.437Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:52:39.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:52:41.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:52:43.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:52:44.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:52:45.180Z] 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. [2026-04-25T14:52:45.180Z] The best model improves the baseline by 14.52%. [2026-04-25T14:52:45.180Z] Top recommended movies for user id 72: [2026-04-25T14:52:45.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:52:45.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:52:45.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:52:45.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:52:45.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:52:45.180Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19183.941 ms) ====== [2026-04-25T14:52:45.180Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-25T14:52:45.180Z] GC before operation: completed in 169.485 ms, heap usage 167.884 MB -> 88.625 MB. [2026-04-25T14:52:48.186Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:52:51.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:52:54.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:52:56.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:52:58.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:53:00.208Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:53:02.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:53:04.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:53:04.103Z] 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. [2026-04-25T14:53:04.103Z] The best model improves the baseline by 14.52%. [2026-04-25T14:53:04.103Z] Top recommended movies for user id 72: [2026-04-25T14:53:04.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:53:04.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:53:04.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:53:04.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:53:04.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:53:04.103Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18887.817 ms) ====== [2026-04-25T14:53:04.103Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-25T14:53:04.103Z] GC before operation: completed in 159.939 ms, heap usage 116.383 MB -> 88.740 MB. [2026-04-25T14:53:07.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:53:10.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:53:13.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:53:15.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:53:17.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:53:18.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:53:20.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:53:22.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:53:23.510Z] 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. [2026-04-25T14:53:23.510Z] The best model improves the baseline by 14.52%. [2026-04-25T14:53:23.510Z] Top recommended movies for user id 72: [2026-04-25T14:53:23.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:53:23.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:53:23.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:53:23.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:53:23.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:53:23.510Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19015.745 ms) ====== [2026-04-25T14:53:23.510Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-25T14:53:23.510Z] GC before operation: completed in 171.491 ms, heap usage 128.990 MB -> 88.598 MB. [2026-04-25T14:53:26.521Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:53:29.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:53:32.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:53:38.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:53:38.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:53:38.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:53:40.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:53:41.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:53:42.468Z] 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. [2026-04-25T14:53:42.468Z] The best model improves the baseline by 14.52%. [2026-04-25T14:53:42.468Z] Top recommended movies for user id 72: [2026-04-25T14:53:42.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:53:42.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:53:42.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:53:42.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:53:42.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:53:42.468Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18870.616 ms) ====== [2026-04-25T14:53:42.468Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-25T14:53:42.468Z] GC before operation: completed in 152.315 ms, heap usage 325.372 MB -> 89.045 MB. [2026-04-25T14:53:45.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:53:48.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:53:51.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:53:53.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:53:55.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:53:57.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:53:59.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:54:05.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:54:05.496Z] 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. [2026-04-25T14:54:05.496Z] The best model improves the baseline by 14.52%. [2026-04-25T14:54:05.496Z] Top recommended movies for user id 72: [2026-04-25T14:54:05.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:54:05.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:54:05.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:54:05.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:54:05.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:54:05.496Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19040.126 ms) ====== [2026-04-25T14:54:05.496Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-25T14:54:05.496Z] GC before operation: completed in 162.061 ms, heap usage 97.680 MB -> 88.399 MB. [2026-04-25T14:54:06.450Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:54:07.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:54:10.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:54:12.737Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:54:14.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:54:16.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:54:18.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:54:20.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:54:20.528Z] 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. [2026-04-25T14:54:20.528Z] The best model improves the baseline by 14.52%. [2026-04-25T14:54:20.528Z] Top recommended movies for user id 72: [2026-04-25T14:54:20.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:54:20.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:54:20.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:54:20.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:54:20.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:54:20.528Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19124.235 ms) ====== [2026-04-25T14:54:20.528Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-25T14:54:20.528Z] GC before operation: completed in 180.031 ms, heap usage 337.477 MB -> 88.981 MB. [2026-04-25T14:54:27.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:54:28.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:54:29.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:54:31.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:54:33.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:54:35.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:54:37.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:54:39.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:54:39.358Z] 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. [2026-04-25T14:54:39.358Z] The best model improves the baseline by 14.52%. [2026-04-25T14:54:39.358Z] Top recommended movies for user id 72: [2026-04-25T14:54:39.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:54:39.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:54:39.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:54:39.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:54:39.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:54:39.358Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18438.668 ms) ====== [2026-04-25T14:54:39.358Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-25T14:54:39.358Z] GC before operation: completed in 177.372 ms, heap usage 322.939 MB -> 89.078 MB. [2026-04-25T14:54:42.364Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:54:45.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:54:48.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:54:52.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:54:53.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:54:55.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:54:56.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:54:57.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:54:58.851Z] 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. [2026-04-25T14:54:58.851Z] The best model improves the baseline by 14.52%. [2026-04-25T14:54:58.851Z] Top recommended movies for user id 72: [2026-04-25T14:54:58.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:54:58.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:54:58.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:54:58.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:54:58.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:54:58.851Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19061.397 ms) ====== [2026-04-25T14:54:58.851Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-25T14:54:58.851Z] GC before operation: completed in 163.078 ms, heap usage 403.454 MB -> 88.988 MB. [2026-04-25T14:55:01.858Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:55:04.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:55:07.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:55:09.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:55:11.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:55:13.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:55:15.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:55:16.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:55:17.582Z] 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. [2026-04-25T14:55:17.582Z] The best model improves the baseline by 14.52%. [2026-04-25T14:55:17.582Z] Top recommended movies for user id 72: [2026-04-25T14:55:17.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:55:17.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:55:17.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:55:17.582Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:55:17.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:55:17.582Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18766.859 ms) ====== [2026-04-25T14:55:17.582Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-25T14:55:17.582Z] GC before operation: completed in 170.325 ms, heap usage 395.657 MB -> 89.274 MB. [2026-04-25T14:55:23.667Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:55:23.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:55:26.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:55:28.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:55:30.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:55:32.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:55:34.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:55:35.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:55:36.362Z] 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. [2026-04-25T14:55:36.362Z] The best model improves the baseline by 14.52%. [2026-04-25T14:55:36.362Z] Top recommended movies for user id 72: [2026-04-25T14:55:36.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:55:36.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:55:36.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:55:36.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:55:36.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:55:36.362Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18508.871 ms) ====== [2026-04-25T14:55:36.362Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-25T14:55:36.362Z] GC before operation: completed in 160.330 ms, heap usage 466.615 MB -> 89.208 MB. [2026-04-25T14:55:38.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:55:41.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:55:44.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:55:47.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:55:49.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:55:50.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:55:52.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:55:54.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:55:54.562Z] 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. [2026-04-25T14:55:54.562Z] The best model improves the baseline by 14.52%. [2026-04-25T14:55:54.562Z] Top recommended movies for user id 72: [2026-04-25T14:55:54.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:55:54.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:55:54.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:55:54.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:55:54.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:55:54.562Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18496.433 ms) ====== [2026-04-25T14:55:54.562Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-25T14:55:55.509Z] GC before operation: completed in 165.641 ms, heap usage 487.081 MB -> 89.365 MB. [2026-04-25T14:55:57.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:56:00.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:56:03.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:56:06.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:56:08.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:56:10.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:56:12.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:56:13.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:56:14.357Z] 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. [2026-04-25T14:56:14.357Z] The best model improves the baseline by 14.52%. [2026-04-25T14:56:14.357Z] Top recommended movies for user id 72: [2026-04-25T14:56:14.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:56:14.357Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:56:14.357Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:56:14.357Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:56:14.357Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:56:14.357Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19146.706 ms) ====== [2026-04-25T14:56:14.357Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-25T14:56:14.357Z] GC before operation: completed in 172.423 ms, heap usage 172.327 MB -> 88.766 MB. [2026-04-25T14:56:17.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:56:19.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:56:22.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:56:25.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:56:27.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:56:29.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:56:31.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:56:32.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:56:32.471Z] 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. [2026-04-25T14:56:32.471Z] The best model improves the baseline by 14.52%. [2026-04-25T14:56:33.424Z] Top recommended movies for user id 72: [2026-04-25T14:56:33.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:56:33.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:56:33.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:56:33.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:56:33.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:56:33.424Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18628.795 ms) ====== [2026-04-25T14:56:33.424Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-25T14:56:33.424Z] GC before operation: completed in 160.751 ms, heap usage 112.232 MB -> 88.782 MB. [2026-04-25T14:56:35.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:56:38.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:56:44.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:56:44.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:56:45.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:56:47.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:56:49.197Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:56:51.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:56:51.157Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:56:51.157Z] The best model improves the baseline by 14.52%. [2026-04-25T14:56:51.157Z] Top recommended movies for user id 72: [2026-04-25T14:56:51.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:56:51.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:56:51.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:56:51.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:56:51.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:56:51.157Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18241.163 ms) ====== [2026-04-25T14:56:52.105Z] ----------------------------------- [2026-04-25T14:56:52.105Z] renaissance-movie-lens_0_PASSED [2026-04-25T14:56:52.105Z] ----------------------------------- [2026-04-25T14:56:52.105Z] [2026-04-25T14:56:52.105Z] TEST TEARDOWN: [2026-04-25T14:56:52.105Z] Nothing to be done for teardown. [2026-04-25T14:56:52.105Z] renaissance-movie-lens_0 Finish Time: Sat Apr 25 14:56:51 2026 Epoch Time (ms): 1777129011491