[2026-01-31T14:46:58.909Z] Running test renaissance-movie-lens_0 ... [2026-01-31T14:46:58.909Z] =============================================== [2026-01-31T14:46:58.909Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 14:46:58 2026 Epoch Time (ms): 1769870818677 [2026-01-31T14:46:58.909Z] variation: NoOptions [2026-01-31T14:46:58.909Z] JVM_OPTIONS: [2026-01-31T14:46:58.909Z] { \ [2026-01-31T14:46:58.909Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T14:46:58.909Z] echo "Nothing to be done for setup."; \ [2026-01-31T14:46:58.909Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17698688653213/renaissance-movie-lens_0"; \ [2026-01-31T14:46:58.909Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17698688653213/renaissance-movie-lens_0"; \ [2026-01-31T14:46:58.909Z] echo ""; echo "TESTING:"; \ [2026-01-31T14:46:58.909Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/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_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17698688653213/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T14:46:58.909Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17698688653213/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T14:46:58.909Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T14:46:58.909Z] echo "Nothing to be done for teardown."; \ [2026-01-31T14:46:58.909Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17698688653213/TestTargetResult"; [2026-01-31T14:46:58.909Z] [2026-01-31T14:46:58.909Z] TEST SETUP: [2026-01-31T14:46:58.909Z] Nothing to be done for setup. [2026-01-31T14:46:58.909Z] [2026-01-31T14:46:58.909Z] TESTING: [2026-01-31T14:47:01.180Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T14:47:01.180Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17698688653213/renaissance-movie-lens_0/launcher-144659-9642339569875038933/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T14:47:01.180Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T14:47:01.180Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T14:47:24.340Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T14:47:57.894Z] 14:47:53.828 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T14:48:05.229Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T14:48:06.903Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T14:48:06.903Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T14:48:07.617Z] GC before operation: completed in 598.094 ms, heap usage 486.282 MB -> 76.056 MB. [2026-01-31T14:48:35.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:48:48.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:48:59.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:49:12.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:49:18.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:49:24.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:49:32.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:49:38.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:49:38.872Z] 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. [2026-01-31T14:49:38.872Z] The best model improves the baseline by 14.52%. [2026-01-31T14:49:40.053Z] Top recommended movies for user id 72: [2026-01-31T14:49:40.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:49:40.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:49:40.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:49:40.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:49:40.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:49:40.053Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (92507.492 ms) ====== [2026-01-31T14:49:40.053Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T14:49:41.233Z] GC before operation: completed in 1029.570 ms, heap usage 636.465 MB -> 92.646 MB. [2026-01-31T14:49:52.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:50:01.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:50:11.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:50:20.882Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:50:25.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:50:31.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:50:37.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:50:43.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:50:43.556Z] 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. [2026-01-31T14:50:43.890Z] The best model improves the baseline by 14.52%. [2026-01-31T14:50:44.223Z] Top recommended movies for user id 72: [2026-01-31T14:50:44.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:50:44.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:50:44.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:50:44.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:50:44.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:50:44.223Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (63351.675 ms) ====== [2026-01-31T14:50:44.223Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T14:50:45.419Z] GC before operation: completed in 921.048 ms, heap usage 385.456 MB -> 89.030 MB. [2026-01-31T14:50:56.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:51:03.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:51:12.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:51:21.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:51:25.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:51:31.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:51:36.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:51:41.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:51:41.730Z] 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. [2026-01-31T14:51:41.730Z] The best model improves the baseline by 14.52%. [2026-01-31T14:51:42.451Z] Top recommended movies for user id 72: [2026-01-31T14:51:42.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:51:42.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:51:42.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:51:42.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:51:42.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:51:42.451Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57211.237 ms) ====== [2026-01-31T14:51:42.451Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T14:51:43.629Z] GC before operation: completed in 945.886 ms, heap usage 127.197 MB -> 89.144 MB. [2026-01-31T14:51:52.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:52:01.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:52:10.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:52:19.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:52:24.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:52:30.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:52:35.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:52:39.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:52:41.071Z] 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. [2026-01-31T14:52:41.071Z] The best model improves the baseline by 14.52%. [2026-01-31T14:52:41.785Z] Top recommended movies for user id 72: [2026-01-31T14:52:41.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:52:41.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:52:41.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:52:41.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:52:41.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:52:41.785Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58318.802 ms) ====== [2026-01-31T14:52:41.785Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T14:52:42.525Z] GC before operation: completed in 794.808 ms, heap usage 373.441 MB -> 89.812 MB. [2026-01-31T14:52:51.516Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:53:00.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:53:09.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:53:18.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:53:24.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:53:29.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:53:35.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:53:40.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:53:40.877Z] 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. [2026-01-31T14:53:41.213Z] The best model improves the baseline by 14.52%. [2026-01-31T14:53:41.946Z] Top recommended movies for user id 72: [2026-01-31T14:53:41.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:53:41.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:53:41.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:53:41.946Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:53:41.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:53:41.946Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (59182.170 ms) ====== [2026-01-31T14:53:41.946Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T14:53:42.680Z] GC before operation: completed in 808.233 ms, heap usage 412.718 MB -> 89.797 MB. [2026-01-31T14:53:53.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:54:00.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:54:09.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:54:17.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:54:22.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:54:27.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:54:34.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:54:38.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:54:39.543Z] 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. [2026-01-31T14:54:39.543Z] The best model improves the baseline by 14.52%. [2026-01-31T14:54:40.362Z] Top recommended movies for user id 72: [2026-01-31T14:54:40.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:54:40.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:54:40.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:54:40.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:54:40.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:54:40.362Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57753.853 ms) ====== [2026-01-31T14:54:40.362Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T14:54:41.100Z] GC before operation: completed in 797.424 ms, heap usage 380.694 MB -> 90.171 MB. [2026-01-31T14:54:50.045Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:54:58.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:55:06.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:55:15.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:55:20.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:55:24.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:55:29.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:55:34.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:55:35.699Z] 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. [2026-01-31T14:55:35.699Z] The best model improves the baseline by 14.52%. [2026-01-31T14:55:36.426Z] Top recommended movies for user id 72: [2026-01-31T14:55:36.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:55:36.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:55:36.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:55:36.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:55:36.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:55:36.426Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55119.899 ms) ====== [2026-01-31T14:55:36.426Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T14:55:37.157Z] GC before operation: completed in 795.394 ms, heap usage 116.283 MB -> 89.692 MB. [2026-01-31T14:55:46.095Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:55:53.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:56:02.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:56:09.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:56:15.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:56:20.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:56:25.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:56:31.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:56:31.379Z] 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. [2026-01-31T14:56:31.379Z] The best model improves the baseline by 14.52%. [2026-01-31T14:56:32.094Z] Top recommended movies for user id 72: [2026-01-31T14:56:32.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:56:32.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:56:32.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:56:32.094Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:56:32.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:56:32.094Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55065.359 ms) ====== [2026-01-31T14:56:32.094Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T14:56:32.825Z] GC before operation: completed in 808.734 ms, heap usage 362.147 MB -> 90.156 MB. [2026-01-31T14:56:41.761Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:56:49.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:56:58.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:57:05.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:57:10.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:57:14.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:57:20.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:57:25.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:57:25.712Z] 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. [2026-01-31T14:57:26.050Z] The best model improves the baseline by 14.52%. [2026-01-31T14:57:26.769Z] Top recommended movies for user id 72: [2026-01-31T14:57:26.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:57:26.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:57:26.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:57:26.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:57:26.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:57:26.769Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53770.236 ms) ====== [2026-01-31T14:57:26.769Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T14:57:27.495Z] GC before operation: completed in 823.623 ms, heap usage 421.958 MB -> 90.133 MB. [2026-01-31T14:57:36.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:57:43.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:57:52.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:58:00.051Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:58:04.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:58:09.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:58:15.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:58:19.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:58:20.672Z] 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. [2026-01-31T14:58:21.003Z] The best model improves the baseline by 14.52%. [2026-01-31T14:58:21.335Z] Top recommended movies for user id 72: [2026-01-31T14:58:21.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:58:21.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:58:21.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:58:21.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:58:21.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:58:21.335Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53995.278 ms) ====== [2026-01-31T14:58:21.335Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T14:58:22.490Z] GC before operation: completed in 834.788 ms, heap usage 129.729 MB -> 90.018 MB. [2026-01-31T14:58:31.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:58:38.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:58:47.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:58:55.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:58:58.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:59:03.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T14:59:08.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T14:59:13.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T14:59:13.979Z] 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. [2026-01-31T14:59:13.979Z] The best model improves the baseline by 14.52%. [2026-01-31T14:59:14.707Z] Top recommended movies for user id 72: [2026-01-31T14:59:14.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T14:59:14.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T14:59:14.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T14:59:14.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T14:59:14.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T14:59:14.707Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52271.473 ms) ====== [2026-01-31T14:59:14.707Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T14:59:15.447Z] GC before operation: completed in 837.154 ms, heap usage 504.170 MB -> 90.271 MB. [2026-01-31T14:59:24.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T14:59:31.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T14:59:38.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T14:59:45.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T14:59:51.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T14:59:54.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:00:00.895Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:00:05.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:00:05.768Z] 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. [2026-01-31T15:00:06.099Z] The best model improves the baseline by 14.52%. [2026-01-31T15:00:06.812Z] Top recommended movies for user id 72: [2026-01-31T15:00:06.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:00:06.812Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:00:06.812Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:00:06.812Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:00:06.812Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:00:06.812Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51249.558 ms) ====== [2026-01-31T15:00:06.812Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T15:00:07.529Z] GC before operation: completed in 840.720 ms, heap usage 271.609 MB -> 90.144 MB. [2026-01-31T15:00:16.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:00:23.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:00:32.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:00:40.036Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:00:45.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:00:50.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:00:56.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:01:01.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:01:02.368Z] 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. [2026-01-31T15:01:02.368Z] The best model improves the baseline by 14.52%. [2026-01-31T15:01:03.132Z] Top recommended movies for user id 72: [2026-01-31T15:01:03.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:01:03.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:01:03.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:01:03.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:01:03.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:01:03.132Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55614.647 ms) ====== [2026-01-31T15:01:03.132Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T15:01:03.874Z] GC before operation: completed in 833.906 ms, heap usage 304.714 MB -> 90.316 MB. [2026-01-31T15:01:12.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:01:21.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:01:30.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:01:38.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:01:42.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:01:47.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:01:53.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:01:57.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:01:58.730Z] 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. [2026-01-31T15:01:59.061Z] The best model improves the baseline by 14.52%. [2026-01-31T15:01:59.791Z] Top recommended movies for user id 72: [2026-01-31T15:01:59.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:01:59.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:01:59.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:01:59.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:01:59.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:01:59.791Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55605.003 ms) ====== [2026-01-31T15:01:59.791Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T15:02:00.521Z] GC before operation: completed in 838.827 ms, heap usage 166.406 MB -> 90.076 MB. [2026-01-31T15:02:09.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:02:16.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:02:24.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:02:31.394Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:02:35.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:02:39.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:02:44.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:02:49.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:02:50.306Z] 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. [2026-01-31T15:02:50.306Z] The best model improves the baseline by 14.52%. [2026-01-31T15:02:51.128Z] Top recommended movies for user id 72: [2026-01-31T15:02:51.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:02:51.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:02:51.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:02:51.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:02:51.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:02:51.128Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50578.964 ms) ====== [2026-01-31T15:02:51.128Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T15:02:51.894Z] GC before operation: completed in 844.549 ms, heap usage 248.133 MB -> 90.335 MB. [2026-01-31T15:03:00.835Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:03:08.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:03:15.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:03:24.418Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:03:28.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:03:32.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:03:37.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:03:42.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:03:42.887Z] 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. [2026-01-31T15:03:43.218Z] The best model improves the baseline by 14.52%. [2026-01-31T15:03:43.551Z] Top recommended movies for user id 72: [2026-01-31T15:03:43.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:03:43.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:03:43.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:03:43.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:03:43.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:03:43.551Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51771.484 ms) ====== [2026-01-31T15:03:43.551Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T15:03:44.863Z] GC before operation: completed in 849.809 ms, heap usage 448.159 MB -> 90.438 MB. [2026-01-31T15:03:53.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:03:59.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:04:07.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:04:16.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:04:20.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:04:25.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:04:30.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:04:35.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:04:35.915Z] 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. [2026-01-31T15:04:36.246Z] The best model improves the baseline by 14.52%. [2026-01-31T15:04:36.580Z] Top recommended movies for user id 72: [2026-01-31T15:04:36.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:04:36.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:04:36.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:04:36.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:04:36.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:04:36.580Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52275.707 ms) ====== [2026-01-31T15:04:36.580Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T15:04:37.752Z] GC before operation: completed in 842.563 ms, heap usage 129.145 MB -> 90.132 MB. [2026-01-31T15:04:46.721Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:04:54.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:05:03.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:05:11.963Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:05:15.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:05:20.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:05:26.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:05:31.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:05:32.048Z] 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. [2026-01-31T15:05:32.048Z] The best model improves the baseline by 14.52%. [2026-01-31T15:05:32.774Z] Top recommended movies for user id 72: [2026-01-31T15:05:32.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:05:32.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:05:32.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:05:32.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:05:32.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:05:32.774Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54977.932 ms) ====== [2026-01-31T15:05:32.774Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T15:05:33.503Z] GC before operation: completed in 837.017 ms, heap usage 382.007 MB -> 90.332 MB. [2026-01-31T15:05:42.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:05:51.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:05:58.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:06:06.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:06:10.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:06:16.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:06:21.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:06:26.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:06:27.675Z] 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. [2026-01-31T15:06:27.675Z] The best model improves the baseline by 14.52%. [2026-01-31T15:06:28.008Z] Top recommended movies for user id 72: [2026-01-31T15:06:28.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:06:28.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:06:28.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:06:28.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:06:28.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:06:28.008Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54643.570 ms) ====== [2026-01-31T15:06:28.008Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T15:06:28.743Z] GC before operation: completed in 829.671 ms, heap usage 335.762 MB -> 90.393 MB. [2026-01-31T15:06:37.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T15:06:45.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T15:06:54.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T15:07:01.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T15:07:07.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T15:07:11.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T15:07:17.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T15:07:22.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T15:07:22.738Z] 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. [2026-01-31T15:07:22.738Z] The best model improves the baseline by 14.52%. [2026-01-31T15:07:23.500Z] Top recommended movies for user id 72: [2026-01-31T15:07:23.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T15:07:23.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T15:07:23.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T15:07:23.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T15:07:23.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T15:07:23.500Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (54368.533 ms) ====== [2026-01-31T15:07:26.487Z] ----------------------------------- [2026-01-31T15:07:26.487Z] renaissance-movie-lens_0_PASSED [2026-01-31T15:07:26.487Z] ----------------------------------- [2026-01-31T15:07:26.487Z] [2026-01-31T15:07:26.487Z] TEST TEARDOWN: [2026-01-31T15:07:26.487Z] Nothing to be done for teardown. [2026-01-31T15:07:26.487Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 15:07:26 2026 Epoch Time (ms): 1769872046437