[2026-02-08T20:01:54.291Z] Running test renaissance-movie-lens_0 ... [2026-02-08T20:01:54.291Z] =============================================== [2026-02-08T20:01:54.291Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 20:01:53 2026 Epoch Time (ms): 1770580913355 [2026-02-08T20:01:54.291Z] variation: NoOptions [2026-02-08T20:01:54.291Z] JVM_OPTIONS: [2026-02-08T20:01:54.291Z] { \ [2026-02-08T20:01:54.291Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T20:01:54.291Z] echo "Nothing to be done for setup."; \ [2026-02-08T20:01:54.291Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17705800565631/renaissance-movie-lens_0"; \ [2026-02-08T20:01:54.291Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17705800565631/renaissance-movie-lens_0"; \ [2026-02-08T20:01:54.291Z] echo ""; echo "TESTING:"; \ [2026-02-08T20:01:54.291Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17705800565631/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-08T20:01:54.291Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17705800565631/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T20:01:54.291Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T20:01:54.291Z] echo "Nothing to be done for teardown."; \ [2026-02-08T20:01:54.291Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17705800565631/TestTargetResult"; [2026-02-08T20:01:54.291Z] [2026-02-08T20:01:54.291Z] TEST SETUP: [2026-02-08T20:01:54.291Z] Nothing to be done for setup. [2026-02-08T20:01:54.291Z] [2026-02-08T20:01:54.291Z] TESTING: [2026-02-08T20:01:54.291Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-08T20:01:54.291Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17705800565631/renaissance-movie-lens_0/launcher-200153-8372864483807388421/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-08T20:01:54.291Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-08T20:01:54.291Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-08T20:01:59.740Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T20:02:05.203Z] 20:02:05.038 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. [2026-02-08T20:02:07.189Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T20:02:08.156Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T20:02:08.156Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T20:02:08.156Z] GC before operation: completed in 184.309 ms, heap usage 299.692 MB -> 75.592 MB. [2026-02-08T20:02:13.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:02:17.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:02:20.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:02:24.005Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:02:25.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:02:26.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:02:30.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:02:31.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:02:31.025Z] 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. [2026-02-08T20:02:31.025Z] The best model improves the baseline by 14.52%. [2026-02-08T20:02:31.025Z] Top recommended movies for user id 72: [2026-02-08T20:02:31.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:02:31.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:02:31.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:02:31.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:02:31.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:02:31.025Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23300.516 ms) ====== [2026-02-08T20:02:31.025Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T20:02:31.994Z] GC before operation: completed in 152.918 ms, heap usage 382.871 MB -> 86.466 MB. [2026-02-08T20:02:33.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:02:37.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:02:40.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:02:42.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:02:44.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:02:45.236Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:02:47.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:02:49.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:02:49.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T20:02:49.210Z] The best model improves the baseline by 14.52%. [2026-02-08T20:02:49.210Z] Top recommended movies for user id 72: [2026-02-08T20:02:49.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:02:49.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:02:49.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:02:49.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:02:49.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:02:49.210Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17573.528 ms) ====== [2026-02-08T20:02:49.210Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T20:02:49.210Z] GC before operation: completed in 126.039 ms, heap usage 288.069 MB -> 88.482 MB. [2026-02-08T20:02:52.274Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:02:54.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:02:56.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:02:59.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:03:00.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:03:02.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:03:04.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:03:05.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:03:05.486Z] 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. [2026-02-08T20:03:05.486Z] The best model improves the baseline by 14.52%. [2026-02-08T20:03:06.454Z] Top recommended movies for user id 72: [2026-02-08T20:03:06.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:03:06.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:03:06.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:03:06.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:03:06.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:03:06.454Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16839.473 ms) ====== [2026-02-08T20:03:06.454Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T20:03:06.454Z] GC before operation: completed in 131.487 ms, heap usage 145.569 MB -> 89.065 MB. [2026-02-08T20:03:08.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:03:11.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:03:13.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:03:16.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:03:17.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:03:19.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:03:21.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:03:22.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:03:23.075Z] 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. [2026-02-08T20:03:23.075Z] The best model improves the baseline by 14.52%. [2026-02-08T20:03:23.075Z] Top recommended movies for user id 72: [2026-02-08T20:03:23.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:03:23.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:03:23.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:03:23.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:03:23.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:03:23.075Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16634.225 ms) ====== [2026-02-08T20:03:23.075Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T20:03:23.075Z] GC before operation: completed in 124.563 ms, heap usage 130.094 MB -> 89.288 MB. [2026-02-08T20:03:25.063Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:03:27.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:03:30.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:03:32.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:03:33.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:03:35.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:03:36.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:03:37.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:03:38.059Z] 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. [2026-02-08T20:03:38.059Z] The best model improves the baseline by 14.52%. [2026-02-08T20:03:38.059Z] Top recommended movies for user id 72: [2026-02-08T20:03:38.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:03:38.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:03:38.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:03:38.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:03:38.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:03:38.059Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14900.067 ms) ====== [2026-02-08T20:03:38.059Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T20:03:38.059Z] GC before operation: completed in 172.099 ms, heap usage 257.218 MB -> 89.441 MB. [2026-02-08T20:03:40.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:03:43.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:03:45.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:03:47.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:03:48.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:03:50.052Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:03:51.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:03:51.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:03:52.966Z] 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. [2026-02-08T20:03:52.966Z] The best model improves the baseline by 14.52%. [2026-02-08T20:03:52.966Z] Top recommended movies for user id 72: [2026-02-08T20:03:52.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:03:52.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:03:52.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:03:52.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:03:52.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:03:52.966Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14654.790 ms) ====== [2026-02-08T20:03:52.966Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T20:03:52.966Z] GC before operation: completed in 150.276 ms, heap usage 628.654 MB -> 93.534 MB. [2026-02-08T20:03:54.953Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:03:56.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:03:58.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:04:00.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:04:02.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:04:03.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:04:05.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:04:07.485Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:04:07.485Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T20:04:07.485Z] The best model improves the baseline by 14.52%. [2026-02-08T20:04:07.485Z] Top recommended movies for user id 72: [2026-02-08T20:04:07.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:04:07.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:04:07.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:04:07.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:04:07.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:04:07.486Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14129.645 ms) ====== [2026-02-08T20:04:07.486Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T20:04:07.486Z] GC before operation: completed in 121.112 ms, heap usage 291.239 MB -> 89.755 MB. [2026-02-08T20:04:09.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:04:11.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:04:13.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:04:15.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:04:16.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:04:18.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:04:19.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:04:21.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:04:21.370Z] 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. [2026-02-08T20:04:21.370Z] The best model improves the baseline by 14.52%. [2026-02-08T20:04:21.370Z] Top recommended movies for user id 72: [2026-02-08T20:04:21.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:04:21.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:04:21.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:04:21.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:04:21.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:04:21.370Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14308.342 ms) ====== [2026-02-08T20:04:21.370Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T20:04:21.370Z] GC before operation: completed in 138.569 ms, heap usage 395.881 MB -> 90.168 MB. [2026-02-08T20:04:24.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:04:26.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:04:28.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:04:30.419Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:04:32.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:04:33.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:04:35.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:04:36.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:04:36.327Z] 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. [2026-02-08T20:04:36.328Z] The best model improves the baseline by 14.52%. [2026-02-08T20:04:36.328Z] Top recommended movies for user id 72: [2026-02-08T20:04:36.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:04:36.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:04:36.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:04:36.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:04:36.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:04:36.328Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15121.511 ms) ====== [2026-02-08T20:04:36.328Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T20:04:37.298Z] GC before operation: completed in 155.666 ms, heap usage 382.770 MB -> 89.893 MB. [2026-02-08T20:04:39.304Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:04:41.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:04:43.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:04:46.346Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:04:47.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:04:48.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:04:50.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:04:51.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:04:52.206Z] 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. [2026-02-08T20:04:52.206Z] The best model improves the baseline by 14.52%. [2026-02-08T20:04:52.206Z] Top recommended movies for user id 72: [2026-02-08T20:04:52.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:04:52.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:04:52.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:04:52.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:04:52.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:04:52.206Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15128.841 ms) ====== [2026-02-08T20:04:52.206Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T20:04:52.206Z] GC before operation: completed in 137.795 ms, heap usage 369.963 MB -> 90.177 MB. [2026-02-08T20:04:54.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:04:57.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:04:59.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:05:01.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:05:03.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:05:04.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:05:04.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:05:06.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:05:06.969Z] 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. [2026-02-08T20:05:06.969Z] The best model improves the baseline by 14.52%. [2026-02-08T20:05:06.969Z] Top recommended movies for user id 72: [2026-02-08T20:05:06.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:05:06.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:05:06.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:05:06.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:05:06.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:05:06.969Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14978.891 ms) ====== [2026-02-08T20:05:06.969Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T20:05:06.969Z] GC before operation: completed in 140.945 ms, heap usage 181.780 MB -> 89.546 MB. [2026-02-08T20:05:08.955Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:05:10.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:05:14.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:05:15.998Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:05:16.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:05:18.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:05:19.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:05:20.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:05:21.860Z] 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. [2026-02-08T20:05:21.860Z] The best model improves the baseline by 14.52%. [2026-02-08T20:05:21.860Z] Top recommended movies for user id 72: [2026-02-08T20:05:21.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:05:21.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:05:21.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:05:21.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:05:21.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:05:21.860Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14368.672 ms) ====== [2026-02-08T20:05:21.860Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T20:05:21.860Z] GC before operation: completed in 137.139 ms, heap usage 394.640 MB -> 90.072 MB. [2026-02-08T20:05:23.845Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:05:26.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:05:28.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:05:30.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:05:31.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:05:33.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:05:34.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:05:36.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:05:36.801Z] 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. [2026-02-08T20:05:36.801Z] The best model improves the baseline by 14.52%. [2026-02-08T20:05:36.801Z] Top recommended movies for user id 72: [2026-02-08T20:05:36.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:05:36.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:05:36.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:05:36.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:05:36.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:05:36.801Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15069.073 ms) ====== [2026-02-08T20:05:36.801Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T20:05:36.801Z] GC before operation: completed in 155.424 ms, heap usage 378.957 MB -> 90.178 MB. [2026-02-08T20:05:38.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:05:41.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:05:43.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:05:45.834Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:05:48.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:05:48.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:05:50.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:05:51.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:05:51.556Z] 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. [2026-02-08T20:05:51.556Z] The best model improves the baseline by 14.52%. [2026-02-08T20:05:52.530Z] Top recommended movies for user id 72: [2026-02-08T20:05:52.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:05:52.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:05:52.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:05:52.530Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:05:52.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:05:52.530Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15040.387 ms) ====== [2026-02-08T20:05:52.530Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T20:05:52.530Z] GC before operation: completed in 150.756 ms, heap usage 374.675 MB -> 89.997 MB. [2026-02-08T20:05:54.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:05:56.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:05:58.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:06:00.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:06:01.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:06:03.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:06:04.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:06:05.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:06:06.472Z] 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. [2026-02-08T20:06:06.472Z] The best model improves the baseline by 14.52%. [2026-02-08T20:06:06.472Z] Top recommended movies for user id 72: [2026-02-08T20:06:06.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:06:06.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:06:06.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:06:06.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:06:06.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:06:06.472Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14133.305 ms) ====== [2026-02-08T20:06:06.472Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T20:06:06.472Z] GC before operation: completed in 143.713 ms, heap usage 400.291 MB -> 90.229 MB. [2026-02-08T20:06:08.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:06:11.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:06:13.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:06:15.504Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:06:17.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:06:18.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:06:20.455Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:06:21.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:06:21.422Z] 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. [2026-02-08T20:06:21.422Z] The best model improves the baseline by 14.52%. [2026-02-08T20:06:21.422Z] Top recommended movies for user id 72: [2026-02-08T20:06:21.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:06:21.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:06:21.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:06:21.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:06:21.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:06:21.422Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15415.160 ms) ====== [2026-02-08T20:06:21.422Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T20:06:22.437Z] GC before operation: completed in 135.584 ms, heap usage 152.838 MB -> 89.802 MB. [2026-02-08T20:06:24.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:06:26.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:06:28.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:06:30.394Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:06:31.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:06:32.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:06:33.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:06:34.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:06:34.996Z] 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. [2026-02-08T20:06:36.062Z] The best model improves the baseline by 14.52%. [2026-02-08T20:06:36.062Z] Top recommended movies for user id 72: [2026-02-08T20:06:36.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:06:36.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:06:36.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:06:36.062Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:06:36.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:06:36.062Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12902.154 ms) ====== [2026-02-08T20:06:36.062Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T20:06:36.062Z] GC before operation: completed in 112.794 ms, heap usage 215.544 MB -> 90.109 MB. [2026-02-08T20:06:37.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:06:39.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:06:41.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:06:42.992Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:06:44.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:06:45.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:06:46.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:06:47.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:06:47.899Z] 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. [2026-02-08T20:06:47.899Z] The best model improves the baseline by 14.52%. [2026-02-08T20:06:48.873Z] Top recommended movies for user id 72: [2026-02-08T20:06:48.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:06:48.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:06:48.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:06:48.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:06:48.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:06:48.873Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13466.213 ms) ====== [2026-02-08T20:06:48.873Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T20:06:48.873Z] GC before operation: completed in 117.259 ms, heap usage 442.496 MB -> 90.215 MB. [2026-02-08T20:06:50.862Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:06:52.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:06:54.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:06:56.937Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:06:57.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:06:59.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:07:00.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:07:02.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:07:02.864Z] 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. [2026-02-08T20:07:02.864Z] The best model improves the baseline by 14.52%. [2026-02-08T20:07:02.864Z] Top recommended movies for user id 72: [2026-02-08T20:07:02.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:07:02.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:07:02.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:07:02.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:07:02.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:07:02.864Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14352.667 ms) ====== [2026-02-08T20:07:02.864Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T20:07:02.864Z] GC before operation: completed in 144.262 ms, heap usage 124.873 MB -> 89.866 MB. [2026-02-08T20:07:04.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:07:07.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:07:09.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:07:11.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:07:12.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:07:14.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:07:15.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:07:17.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:07:17.844Z] 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. [2026-02-08T20:07:17.844Z] The best model improves the baseline by 14.52%. [2026-02-08T20:07:17.844Z] Top recommended movies for user id 72: [2026-02-08T20:07:17.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:07:17.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:07:17.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:07:17.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:07:17.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:07:17.844Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14828.337 ms) ====== [2026-02-08T20:07:18.812Z] ----------------------------------- [2026-02-08T20:07:18.812Z] renaissance-movie-lens_0_PASSED [2026-02-08T20:07:18.812Z] ----------------------------------- [2026-02-08T20:07:18.812Z] [2026-02-08T20:07:18.812Z] TEST TEARDOWN: [2026-02-08T20:07:18.812Z] Nothing to be done for teardown. [2026-02-08T20:07:18.812Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 20:07:17 2026 Epoch Time (ms): 1770581237899