[2026-01-16T14:17:08.654Z] Running test renaissance-movie-lens_0 ... [2026-01-16T14:17:08.654Z] =============================================== [2026-01-16T14:17:08.655Z] renaissance-movie-lens_0 Start Time: Fri Jan 16 14:17:08 2026 Epoch Time (ms): 1768573028284 [2026-01-16T14:17:08.655Z] variation: NoOptions [2026-01-16T14:17:08.655Z] JVM_OPTIONS: [2026-01-16T14:17:08.655Z] { \ [2026-01-16T14:17:08.655Z] echo ""; echo "TEST SETUP:"; \ [2026-01-16T14:17:08.655Z] echo "Nothing to be done for setup."; \ [2026-01-16T14:17:08.655Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17685714639497/renaissance-movie-lens_0"; \ [2026-01-16T14:17:08.655Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17685714639497/renaissance-movie-lens_0"; \ [2026-01-16T14:17:08.655Z] echo ""; echo "TESTING:"; \ [2026-01-16T14:17:08.655Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/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_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17685714639497/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-16T14:17:08.655Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17685714639497/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-16T14:17:08.655Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-16T14:17:08.655Z] echo "Nothing to be done for teardown."; \ [2026-01-16T14:17:08.655Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17685714639497/TestTargetResult"; [2026-01-16T14:17:08.655Z] [2026-01-16T14:17:08.655Z] TEST SETUP: [2026-01-16T14:17:08.655Z] Nothing to be done for setup. [2026-01-16T14:17:08.655Z] [2026-01-16T14:17:08.655Z] TESTING: [2026-01-16T14:17:14.294Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-16T14:17:21.237Z] 14:17:20.383 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-16T14:17:23.727Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-16T14:17:23.727Z] Training: 60056, validation: 20285, test: 19854 [2026-01-16T14:17:23.727Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-16T14:17:24.506Z] GC before operation: completed in 155.443 ms, heap usage 269.436 MB -> 74.401 MB. [2026-01-16T14:17:31.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:17:36.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:17:41.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:17:44.500Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:17:46.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:17:48.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:17:51.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:17:52.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:17:53.511Z] 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. [2026-01-16T14:17:53.511Z] The best model improves the baseline by 14.52%. [2026-01-16T14:17:53.511Z] Top recommended movies for user id 72: [2026-01-16T14:17:53.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:17:53.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:17:53.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:17:53.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:17:53.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:17:53.511Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29592.966 ms) ====== [2026-01-16T14:17:53.511Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-16T14:17:54.292Z] GC before operation: completed in 149.184 ms, heap usage 208.023 MB -> 85.407 MB. [2026-01-16T14:17:57.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:18:01.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:18:04.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:18:07.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:18:09.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:18:12.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:18:13.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:18:16.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:18:16.090Z] 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. [2026-01-16T14:18:16.090Z] The best model improves the baseline by 14.52%. [2026-01-16T14:18:16.090Z] Top recommended movies for user id 72: [2026-01-16T14:18:16.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:18:16.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:18:16.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:18:16.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:18:16.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:18:16.090Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22444.517 ms) ====== [2026-01-16T14:18:16.090Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-16T14:18:16.869Z] GC before operation: completed in 141.909 ms, heap usage 237.825 MB -> 87.473 MB. [2026-01-16T14:18:19.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:18:22.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:18:26.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:18:29.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:18:31.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:18:33.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:18:35.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:18:37.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:18:37.892Z] 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. [2026-01-16T14:18:37.892Z] The best model improves the baseline by 14.52%. [2026-01-16T14:18:37.892Z] Top recommended movies for user id 72: [2026-01-16T14:18:37.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:18:37.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:18:37.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:18:37.892Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:18:37.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:18:37.892Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21380.629 ms) ====== [2026-01-16T14:18:37.892Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-16T14:18:37.892Z] GC before operation: completed in 150.511 ms, heap usage 195.731 MB -> 88.100 MB. [2026-01-16T14:18:41.448Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:18:43.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:18:47.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:18:50.916Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:18:52.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:18:55.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:18:56.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:18:58.485Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:18:58.485Z] 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. [2026-01-16T14:18:58.485Z] The best model improves the baseline by 14.52%. [2026-01-16T14:18:59.260Z] Top recommended movies for user id 72: [2026-01-16T14:18:59.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:18:59.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:18:59.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:18:59.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:18:59.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:18:59.260Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20870.667 ms) ====== [2026-01-16T14:18:59.260Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-16T14:18:59.260Z] GC before operation: completed in 154.540 ms, heap usage 238.217 MB -> 88.403 MB. [2026-01-16T14:19:01.774Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:19:05.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:19:08.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:19:12.144Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:19:13.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:19:15.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:19:17.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:19:19.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:19:20.239Z] 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. [2026-01-16T14:19:20.239Z] The best model improves the baseline by 14.52%. [2026-01-16T14:19:20.239Z] Top recommended movies for user id 72: [2026-01-16T14:19:20.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:19:20.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:19:20.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:19:20.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:19:20.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:19:20.239Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21044.813 ms) ====== [2026-01-16T14:19:20.239Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-16T14:19:20.239Z] GC before operation: completed in 138.635 ms, heap usage 163.492 MB -> 88.321 MB. [2026-01-16T14:19:23.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:19:26.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:19:29.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:19:33.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:19:34.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:19:36.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:19:38.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:19:39.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:19:40.597Z] 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. [2026-01-16T14:19:40.597Z] The best model improves the baseline by 14.52%. [2026-01-16T14:19:40.597Z] Top recommended movies for user id 72: [2026-01-16T14:19:40.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:19:40.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:19:40.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:19:40.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:19:40.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:19:40.597Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20381.389 ms) ====== [2026-01-16T14:19:40.597Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-16T14:19:40.597Z] GC before operation: completed in 148.149 ms, heap usage 179.369 MB -> 88.659 MB. [2026-01-16T14:19:44.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:19:46.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:19:50.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:19:52.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:19:55.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:19:56.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:19:58.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:19:59.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:19:59.828Z] 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. [2026-01-16T14:19:59.828Z] The best model improves the baseline by 14.52%. [2026-01-16T14:20:00.601Z] Top recommended movies for user id 72: [2026-01-16T14:20:00.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:20:00.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:20:00.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:20:00.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:20:00.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:20:00.601Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19616.138 ms) ====== [2026-01-16T14:20:00.601Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-16T14:20:00.601Z] GC before operation: completed in 148.750 ms, heap usage 112.234 MB -> 88.509 MB. [2026-01-16T14:20:03.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:20:06.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:20:10.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:20:12.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:20:14.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:20:16.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:20:17.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:20:20.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:20:20.234Z] 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. [2026-01-16T14:20:20.234Z] The best model improves the baseline by 14.52%. [2026-01-16T14:20:20.234Z] Top recommended movies for user id 72: [2026-01-16T14:20:20.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:20:20.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:20:20.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:20:20.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:20:20.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:20:20.234Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19644.960 ms) ====== [2026-01-16T14:20:20.234Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-16T14:20:20.234Z] GC before operation: completed in 149.179 ms, heap usage 198.944 MB -> 88.822 MB. [2026-01-16T14:20:23.676Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:20:26.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:20:29.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:20:32.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:20:33.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:20:35.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:20:37.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:20:39.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:20:39.452Z] 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. [2026-01-16T14:20:40.230Z] The best model improves the baseline by 14.52%. [2026-01-16T14:20:40.230Z] Top recommended movies for user id 72: [2026-01-16T14:20:40.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:20:40.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:20:40.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:20:40.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:20:40.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:20:40.230Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19756.615 ms) ====== [2026-01-16T14:20:40.230Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-16T14:20:40.230Z] GC before operation: completed in 143.149 ms, heap usage 123.774 MB -> 88.578 MB. [2026-01-16T14:20:42.732Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:20:46.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:20:49.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:20:52.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:20:54.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:20:56.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:20:57.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:21:00.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:21:00.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-16T14:21:00.052Z] The best model improves the baseline by 14.52%. [2026-01-16T14:21:00.052Z] Top recommended movies for user id 72: [2026-01-16T14:21:00.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:21:00.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:21:00.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:21:00.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:21:00.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:21:00.052Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20019.810 ms) ====== [2026-01-16T14:21:00.052Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-16T14:21:00.052Z] GC before operation: completed in 137.204 ms, heap usage 124.312 MB -> 88.785 MB. [2026-01-16T14:21:03.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:21:06.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:21:09.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:21:12.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:21:13.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:21:15.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:21:17.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:21:19.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:21:19.426Z] 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. [2026-01-16T14:21:19.426Z] The best model improves the baseline by 14.52%. [2026-01-16T14:21:19.426Z] Top recommended movies for user id 72: [2026-01-16T14:21:19.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:21:19.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:21:19.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:21:19.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:21:19.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:21:19.426Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19382.721 ms) ====== [2026-01-16T14:21:19.426Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-16T14:21:20.205Z] GC before operation: completed in 143.915 ms, heap usage 176.282 MB -> 88.602 MB. [2026-01-16T14:21:22.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:21:26.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:21:28.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:21:32.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:21:33.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:21:35.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:21:37.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:21:38.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:21:39.689Z] 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. [2026-01-16T14:21:39.689Z] The best model improves the baseline by 14.52%. [2026-01-16T14:21:39.689Z] Top recommended movies for user id 72: [2026-01-16T14:21:39.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:21:39.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:21:39.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:21:39.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:21:39.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:21:39.689Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19507.908 ms) ====== [2026-01-16T14:21:39.689Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-16T14:21:39.689Z] GC before operation: completed in 150.237 ms, heap usage 196.155 MB -> 88.825 MB. [2026-01-16T14:21:42.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:21:45.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:21:49.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:21:51.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:21:53.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:21:54.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:21:57.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:21:59.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:21:59.034Z] 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. [2026-01-16T14:21:59.034Z] The best model improves the baseline by 14.52%. [2026-01-16T14:21:59.034Z] Top recommended movies for user id 72: [2026-01-16T14:21:59.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:21:59.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:21:59.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:21:59.034Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:21:59.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:21:59.034Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19809.628 ms) ====== [2026-01-16T14:21:59.034Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-16T14:21:59.812Z] GC before operation: completed in 144.243 ms, heap usage 379.724 MB -> 89.180 MB. [2026-01-16T14:22:02.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:22:05.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:22:08.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:22:11.743Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:22:13.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:22:15.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:22:17.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:22:18.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:22:19.493Z] 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. [2026-01-16T14:22:19.493Z] The best model improves the baseline by 14.52%. [2026-01-16T14:22:19.493Z] Top recommended movies for user id 72: [2026-01-16T14:22:19.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:22:19.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:22:19.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:22:19.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:22:19.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:22:19.493Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19822.454 ms) ====== [2026-01-16T14:22:19.493Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-16T14:22:19.493Z] GC before operation: completed in 136.882 ms, heap usage 212.851 MB -> 88.750 MB. [2026-01-16T14:22:22.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:22:25.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:22:27.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:22:31.422Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:22:33.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:22:34.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:22:37.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:22:38.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:22:38.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-16T14:22:38.887Z] The best model improves the baseline by 14.52%. [2026-01-16T14:22:38.887Z] Top recommended movies for user id 72: [2026-01-16T14:22:38.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:22:38.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:22:38.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:22:38.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:22:38.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:22:38.887Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19443.073 ms) ====== [2026-01-16T14:22:38.887Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-16T14:22:38.887Z] GC before operation: completed in 143.215 ms, heap usage 112.526 MB -> 88.877 MB. [2026-01-16T14:22:42.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:22:44.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:22:48.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:22:50.857Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:22:52.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:22:54.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:22:56.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:22:58.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:22:58.959Z] 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. [2026-01-16T14:22:58.959Z] The best model improves the baseline by 14.52%. [2026-01-16T14:22:58.959Z] Top recommended movies for user id 72: [2026-01-16T14:22:58.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:22:58.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:22:58.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:22:58.959Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:22:58.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:22:58.959Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19790.268 ms) ====== [2026-01-16T14:22:58.959Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-16T14:22:58.959Z] GC before operation: completed in 133.993 ms, heap usage 112.358 MB -> 88.721 MB. [2026-01-16T14:23:01.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:23:05.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:23:07.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:23:11.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:23:13.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:23:14.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:23:16.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:23:17.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:23:18.603Z] 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. [2026-01-16T14:23:18.603Z] The best model improves the baseline by 14.52%. [2026-01-16T14:23:18.603Z] Top recommended movies for user id 72: [2026-01-16T14:23:18.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:23:18.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:23:18.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:23:18.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:23:18.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:23:18.604Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19744.999 ms) ====== [2026-01-16T14:23:18.604Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-16T14:23:18.604Z] GC before operation: completed in 146.305 ms, heap usage 126.112 MB -> 88.806 MB. [2026-01-16T14:23:22.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:23:24.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:23:28.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:23:30.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:23:32.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:23:33.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:23:36.212Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:23:37.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:23:37.814Z] 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. [2026-01-16T14:23:37.814Z] The best model improves the baseline by 14.52%. [2026-01-16T14:23:38.589Z] Top recommended movies for user id 72: [2026-01-16T14:23:38.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:23:38.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:23:38.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:23:38.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:23:38.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:23:38.589Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19409.684 ms) ====== [2026-01-16T14:23:38.589Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-16T14:23:38.589Z] GC before operation: completed in 154.960 ms, heap usage 230.553 MB -> 88.750 MB. [2026-01-16T14:23:41.097Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:23:44.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:23:47.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:23:50.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:23:51.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:23:53.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:23:55.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:23:57.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:23:57.429Z] 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. [2026-01-16T14:23:57.429Z] The best model improves the baseline by 14.52%. [2026-01-16T14:23:57.429Z] Top recommended movies for user id 72: [2026-01-16T14:23:57.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:23:57.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:23:57.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:23:57.429Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:23:57.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:23:57.429Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19219.810 ms) ====== [2026-01-16T14:23:57.429Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-16T14:23:57.429Z] GC before operation: completed in 139.722 ms, heap usage 368.208 MB -> 89.094 MB. [2026-01-16T14:24:00.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T14:24:03.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T14:24:06.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T14:24:09.340Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T14:24:10.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T14:24:13.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T14:24:15.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T14:24:16.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T14:24:17.449Z] 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. [2026-01-16T14:24:17.449Z] The best model improves the baseline by 14.52%. [2026-01-16T14:24:17.449Z] Top recommended movies for user id 72: [2026-01-16T14:24:17.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T14:24:17.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T14:24:17.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T14:24:17.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T14:24:17.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T14:24:17.449Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19565.628 ms) ====== [2026-01-16T14:24:17.449Z] ----------------------------------- [2026-01-16T14:24:17.449Z] renaissance-movie-lens_0_PASSED [2026-01-16T14:24:17.449Z] ----------------------------------- [2026-01-16T14:24:17.449Z] [2026-01-16T14:24:17.449Z] TEST TEARDOWN: [2026-01-16T14:24:17.449Z] Nothing to be done for teardown. [2026-01-16T14:24:17.845Z] renaissance-movie-lens_0 Finish Time: Fri Jan 16 14:24:17 2026 Epoch Time (ms): 1768573457392