[2026-01-10T19:08:21.687Z] Running test renaissance-movie-lens_0 ... [2026-01-10T19:08:21.687Z] =============================================== [2026-01-10T19:08:21.687Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 19:08:21 2026 Epoch Time (ms): 1768072101415 [2026-01-10T19:08:21.687Z] variation: NoOptions [2026-01-10T19:08:21.687Z] JVM_OPTIONS: [2026-01-10T19:08:21.687Z] { \ [2026-01-10T19:08:21.687Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T19:08:21.687Z] echo "Nothing to be done for setup."; \ [2026-01-10T19:08:21.687Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17680672638172/renaissance-movie-lens_0"; \ [2026-01-10T19:08:21.687Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17680672638172/renaissance-movie-lens_0"; \ [2026-01-10T19:08:21.687Z] echo ""; echo "TESTING:"; \ [2026-01-10T19:08:21.687Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17680672638172/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T19:08:21.687Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17680672638172/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T19:08:21.687Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T19:08:21.687Z] echo "Nothing to be done for teardown."; \ [2026-01-10T19:08:21.687Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17680672638172/TestTargetResult"; [2026-01-10T19:08:21.687Z] [2026-01-10T19:08:21.687Z] TEST SETUP: [2026-01-10T19:08:21.687Z] Nothing to be done for setup. [2026-01-10T19:08:21.687Z] [2026-01-10T19:08:21.687Z] TESTING: [2026-01-10T19:08:23.984Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T19:08:23.984Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17680672638172/renaissance-movie-lens_0/launcher-190822-236097084476618091/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T19:08:23.984Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T19:08:23.984Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T19:08:47.195Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T19:09:15.396Z] 19:09:14.546 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T19:09:24.357Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T19:09:26.045Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T19:09:26.045Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T19:09:26.766Z] GC before operation: completed in 610.508 ms, heap usage 319.523 MB -> 76.090 MB. [2026-01-10T19:09:54.641Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:10:05.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:10:18.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:10:29.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:10:37.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:10:43.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:10:50.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:10:56.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:10:57.474Z] 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. [2026-01-10T19:10:57.810Z] The best model improves the baseline by 14.52%. [2026-01-10T19:10:58.981Z] Top recommended movies for user id 72: [2026-01-10T19:10:58.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:10:58.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:10:58.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:10:58.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:10:58.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:10:58.981Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (92230.566 ms) ====== [2026-01-10T19:10:58.981Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T19:11:00.174Z] GC before operation: completed in 1115.869 ms, heap usage 721.862 MB -> 92.760 MB. [2026-01-10T19:11:11.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:11:20.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:11:31.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:11:40.026Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:11:44.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:11:52.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:11:58.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:12:03.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:12:04.191Z] 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. [2026-01-10T19:12:04.191Z] The best model improves the baseline by 14.52%. [2026-01-10T19:12:04.910Z] Top recommended movies for user id 72: [2026-01-10T19:12:04.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:12:04.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:12:04.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:12:04.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:12:04.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:12:04.910Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64892.134 ms) ====== [2026-01-10T19:12:04.910Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T19:12:05.651Z] GC before operation: completed in 947.908 ms, heap usage 303.819 MB -> 89.001 MB. [2026-01-10T19:12:16.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:12:25.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:12:34.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:12:43.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:12:49.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:12:54.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:13:00.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:13:05.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:13:05.703Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T19:13:06.039Z] The best model improves the baseline by 14.52%. [2026-01-10T19:13:06.382Z] Top recommended movies for user id 72: [2026-01-10T19:13:06.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:13:06.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:13:06.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:13:06.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:13:06.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:13:06.382Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60702.532 ms) ====== [2026-01-10T19:13:06.382Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T19:13:07.583Z] GC before operation: completed in 1042.269 ms, heap usage 1.016 GB -> 94.300 MB. [2026-01-10T19:13:16.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:13:25.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:13:34.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:13:41.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:13:46.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:13:52.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:13:58.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:14:03.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:14:04.735Z] 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. [2026-01-10T19:14:04.735Z] The best model improves the baseline by 14.52%. [2026-01-10T19:14:05.471Z] Top recommended movies for user id 72: [2026-01-10T19:14:05.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:14:05.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:14:05.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:14:05.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:14:05.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:14:05.472Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57821.409 ms) ====== [2026-01-10T19:14:05.472Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T19:14:06.290Z] GC before operation: completed in 788.986 ms, heap usage 128.457 MB -> 89.554 MB. [2026-01-10T19:14:15.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:14:24.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:14:35.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:14:42.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:14:48.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:14:54.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:15:00.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:15:05.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:15:06.066Z] 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. [2026-01-10T19:15:06.066Z] The best model improves the baseline by 14.52%. [2026-01-10T19:15:06.794Z] Top recommended movies for user id 72: [2026-01-10T19:15:06.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:15:06.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:15:06.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:15:06.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:15:06.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:15:06.794Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60527.183 ms) ====== [2026-01-10T19:15:06.794Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T19:15:07.553Z] GC before operation: completed in 875.211 ms, heap usage 976.207 MB -> 94.381 MB. [2026-01-10T19:15:18.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:15:25.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:15:33.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:15:42.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:15:45.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:15:50.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:15:57.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:16:01.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:16:01.873Z] 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. [2026-01-10T19:16:02.210Z] The best model improves the baseline by 14.52%. [2026-01-10T19:16:02.948Z] Top recommended movies for user id 72: [2026-01-10T19:16:02.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:16:02.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:16:02.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:16:02.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:16:02.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:16:02.948Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55186.237 ms) ====== [2026-01-10T19:16:02.948Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T19:16:03.692Z] GC before operation: completed in 863.150 ms, heap usage 1.011 GB -> 94.881 MB. [2026-01-10T19:16:12.671Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:16:20.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:16:28.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:16:36.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:16:41.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:16:45.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:16:50.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:16:56.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:16:56.685Z] 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. [2026-01-10T19:16:56.685Z] The best model improves the baseline by 14.52%. [2026-01-10T19:16:57.412Z] Top recommended movies for user id 72: [2026-01-10T19:16:57.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:16:57.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:16:57.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:16:57.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:16:57.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:16:57.412Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53725.753 ms) ====== [2026-01-10T19:16:57.412Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T19:16:58.156Z] GC before operation: completed in 782.482 ms, heap usage 120.955 MB -> 89.798 MB. [2026-01-10T19:17:07.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:17:16.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:17:25.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:17:32.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:17:38.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:17:43.206Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:17:48.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:17:54.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:17:54.224Z] 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. [2026-01-10T19:17:54.224Z] The best model improves the baseline by 14.52%. [2026-01-10T19:17:54.948Z] Top recommended movies for user id 72: [2026-01-10T19:17:54.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:17:54.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:17:54.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:17:54.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:17:54.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:17:54.948Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56776.269 ms) ====== [2026-01-10T19:17:54.948Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T19:17:55.686Z] GC before operation: completed in 839.263 ms, heap usage 391.242 MB -> 90.355 MB. [2026-01-10T19:18:04.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:18:13.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:18:22.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:18:29.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:18:34.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:18:39.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:18:44.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:18:49.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:18:49.914Z] 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. [2026-01-10T19:18:49.914Z] The best model improves the baseline by 14.52%. [2026-01-10T19:18:51.084Z] Top recommended movies for user id 72: [2026-01-10T19:18:51.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:18:51.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:18:51.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:18:51.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:18:51.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:18:51.084Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55115.543 ms) ====== [2026-01-10T19:18:51.084Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T19:18:51.811Z] GC before operation: completed in 840.945 ms, heap usage 375.930 MB -> 90.481 MB. [2026-01-10T19:19:00.822Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:19:09.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:19:17.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:19:26.090Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:19:29.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:19:34.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:19:40.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:19:45.533Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:19:45.868Z] 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. [2026-01-10T19:19:45.868Z] The best model improves the baseline by 14.52%. [2026-01-10T19:19:46.595Z] Top recommended movies for user id 72: [2026-01-10T19:19:46.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:19:46.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:19:46.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:19:46.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:19:46.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:19:46.595Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54811.225 ms) ====== [2026-01-10T19:19:46.595Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T19:19:47.339Z] GC before operation: completed in 800.721 ms, heap usage 372.264 MB -> 90.531 MB. [2026-01-10T19:19:56.315Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:20:05.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:20:12.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:20:21.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:20:26.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:20:31.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:20:36.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:20:41.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:20:41.782Z] 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. [2026-01-10T19:20:41.782Z] The best model improves the baseline by 14.52%. [2026-01-10T19:20:42.500Z] Top recommended movies for user id 72: [2026-01-10T19:20:42.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:20:42.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:20:42.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:20:42.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:20:42.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:20:42.501Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55140.868 ms) ====== [2026-01-10T19:20:42.501Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T19:20:43.232Z] GC before operation: completed in 847.601 ms, heap usage 554.047 MB -> 90.529 MB. [2026-01-10T19:20:52.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:20:59.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:21:06.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:21:14.152Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:21:19.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:21:23.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:21:28.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:21:33.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:21:34.614Z] 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. [2026-01-10T19:21:34.614Z] The best model improves the baseline by 14.52%. [2026-01-10T19:21:34.953Z] Top recommended movies for user id 72: [2026-01-10T19:21:34.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:21:34.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:21:34.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:21:34.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:21:34.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:21:34.954Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51772.070 ms) ====== [2026-01-10T19:21:34.954Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T19:21:36.135Z] GC before operation: completed in 829.235 ms, heap usage 307.377 MB -> 90.438 MB. [2026-01-10T19:21:45.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:21:52.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:21:59.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:22:07.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:22:12.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:22:18.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:22:22.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:22:27.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:22:28.910Z] 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. [2026-01-10T19:22:28.910Z] The best model improves the baseline by 14.52%. [2026-01-10T19:22:29.640Z] Top recommended movies for user id 72: [2026-01-10T19:22:29.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:22:29.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:22:29.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:22:29.640Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:22:29.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:22:29.641Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53520.133 ms) ====== [2026-01-10T19:22:29.641Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T19:22:30.371Z] GC before operation: completed in 810.819 ms, heap usage 416.437 MB -> 90.596 MB. [2026-01-10T19:22:39.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:22:46.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:22:55.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:23:04.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:23:08.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:23:14.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:23:19.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:23:23.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:23:25.118Z] 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. [2026-01-10T19:23:25.118Z] The best model improves the baseline by 14.52%. [2026-01-10T19:23:25.847Z] Top recommended movies for user id 72: [2026-01-10T19:23:25.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:23:25.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:23:25.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:23:25.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:23:25.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:23:25.847Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55514.207 ms) ====== [2026-01-10T19:23:25.847Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T19:23:26.587Z] GC before operation: completed in 790.917 ms, heap usage 387.292 MB -> 90.517 MB. [2026-01-10T19:23:35.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:23:44.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:23:51.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:23:59.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:24:05.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:24:09.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:24:14.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:24:19.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:24:20.195Z] 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. [2026-01-10T19:24:20.195Z] The best model improves the baseline by 14.52%. [2026-01-10T19:24:20.922Z] Top recommended movies for user id 72: [2026-01-10T19:24:20.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:24:20.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:24:20.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:24:20.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:24:20.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:24:20.922Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54464.337 ms) ====== [2026-01-10T19:24:20.922Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T19:24:22.099Z] GC before operation: completed in 811.036 ms, heap usage 380.769 MB -> 90.654 MB. [2026-01-10T19:24:31.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:24:38.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:24:47.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:24:54.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:24:59.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:25:05.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:25:11.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:25:15.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:25:16.495Z] 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. [2026-01-10T19:25:16.495Z] The best model improves the baseline by 14.52%. [2026-01-10T19:25:17.215Z] Top recommended movies for user id 72: [2026-01-10T19:25:17.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:25:17.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:25:17.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:25:17.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:25:17.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:25:17.215Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55422.492 ms) ====== [2026-01-10T19:25:17.215Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T19:25:18.379Z] GC before operation: completed in 868.362 ms, heap usage 304.557 MB -> 90.411 MB. [2026-01-10T19:25:27.339Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:25:34.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:25:43.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:25:51.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:25:55.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:26:00.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:26:05.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:26:11.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:26:11.686Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T19:26:11.686Z] The best model improves the baseline by 14.52%. [2026-01-10T19:26:12.454Z] Top recommended movies for user id 72: [2026-01-10T19:26:12.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:26:12.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:26:12.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:26:12.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:26:12.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:26:12.454Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54344.665 ms) ====== [2026-01-10T19:26:12.454Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T19:26:13.188Z] GC before operation: completed in 840.992 ms, heap usage 299.965 MB -> 90.604 MB. [2026-01-10T19:26:22.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:26:31.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:26:40.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:26:47.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:26:52.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:26:57.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:27:03.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:27:07.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:27:09.117Z] 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. [2026-01-10T19:27:09.117Z] The best model improves the baseline by 14.52%. [2026-01-10T19:27:09.838Z] Top recommended movies for user id 72: [2026-01-10T19:27:09.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:27:09.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:27:09.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:27:09.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:27:09.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:27:09.838Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56535.999 ms) ====== [2026-01-10T19:27:09.838Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T19:27:10.577Z] GC before operation: completed in 820.130 ms, heap usage 139.685 MB -> 90.087 MB. [2026-01-10T19:27:19.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:27:28.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:27:35.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:27:44.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:27:48.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:27:53.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:27:58.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:28:03.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:28:04.773Z] 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. [2026-01-10T19:28:04.773Z] The best model improves the baseline by 14.52%. [2026-01-10T19:28:05.106Z] Top recommended movies for user id 72: [2026-01-10T19:28:05.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:28:05.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:28:05.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:28:05.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:28:05.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:28:05.106Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54508.807 ms) ====== [2026-01-10T19:28:05.106Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T19:28:05.847Z] GC before operation: completed in 822.770 ms, heap usage 134.367 MB -> 90.265 MB. [2026-01-10T19:28:15.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T19:28:24.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T19:28:33.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T19:28:40.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T19:28:44.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T19:28:49.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T19:28:53.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T19:28:57.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T19:28:58.538Z] 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. [2026-01-10T19:28:58.538Z] The best model improves the baseline by 14.52%. [2026-01-10T19:28:59.258Z] Top recommended movies for user id 72: [2026-01-10T19:28:59.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T19:28:59.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T19:28:59.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T19:28:59.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T19:28:59.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T19:28:59.258Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53239.856 ms) ====== [2026-01-10T19:29:03.114Z] ----------------------------------- [2026-01-10T19:29:03.114Z] renaissance-movie-lens_0_PASSED [2026-01-10T19:29:03.114Z] ----------------------------------- [2026-01-10T19:29:03.115Z] [2026-01-10T19:29:03.115Z] TEST TEARDOWN: [2026-01-10T19:29:03.115Z] Nothing to be done for teardown. [2026-01-10T19:29:03.115Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 19:29:02 2026 Epoch Time (ms): 1768073342642