[2026-02-27T03:42:56.521Z] Running test renaissance-movie-lens_0 ... [2026-02-27T03:42:56.521Z] =============================================== [2026-02-27T03:42:56.521Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 03:42:55 2026 Epoch Time (ms): 1772163775582 [2026-02-27T03:42:56.521Z] variation: NoOptions [2026-02-27T03:42:56.521Z] JVM_OPTIONS: [2026-02-27T03:42:56.521Z] { \ [2026-02-27T03:42:56.521Z] echo ""; echo "TEST SETUP:"; \ [2026-02-27T03:42:56.521Z] echo "Nothing to be done for setup."; \ [2026-02-27T03:42:56.521Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721629447424/renaissance-movie-lens_0"; \ [2026-02-27T03:42:56.521Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721629447424/renaissance-movie-lens_0"; \ [2026-02-27T03:42:56.521Z] echo ""; echo "TESTING:"; \ [2026-02-27T03:42:56.521Z] "/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_17721629447424/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-27T03:42:56.521Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721629447424/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-27T03:42:56.521Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-27T03:42:56.521Z] echo "Nothing to be done for teardown."; \ [2026-02-27T03:42:56.521Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721629447424/TestTargetResult"; [2026-02-27T03:42:56.521Z] [2026-02-27T03:42:56.521Z] TEST SETUP: [2026-02-27T03:42:56.521Z] Nothing to be done for setup. [2026-02-27T03:42:56.521Z] [2026-02-27T03:42:56.521Z] TESTING: [2026-02-27T03:42:56.521Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-27T03:42:56.521Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17721629447424/renaissance-movie-lens_0/launcher-034255-12136088001017648624/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-27T03:42:56.521Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-27T03:42:56.521Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-27T03:43:01.928Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-27T03:43:08.666Z] 03:43:07.274 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-27T03:43:09.630Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-27T03:43:10.589Z] Training: 60056, validation: 20285, test: 19854 [2026-02-27T03:43:10.589Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-27T03:43:10.589Z] GC before operation: completed in 161.917 ms, heap usage 170.182 MB -> 75.592 MB. [2026-02-27T03:43:15.994Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:43:19.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:43:22.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:43:25.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:43:26.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:43:28.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:43:30.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:43:30.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:43:30.995Z] 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. [2026-02-27T03:43:30.995Z] The best model improves the baseline by 14.52%. [2026-02-27T03:43:31.957Z] Top recommended movies for user id 72: [2026-02-27T03:43:31.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:43:31.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:43:31.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:43:31.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:43:31.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:43:31.957Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21243.166 ms) ====== [2026-02-27T03:43:31.957Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-27T03:43:31.957Z] GC before operation: completed in 165.736 ms, heap usage 466.003 MB -> 97.169 MB. [2026-02-27T03:43:33.926Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:43:36.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:43:38.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:43:41.983Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:43:42.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:43:45.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:43:46.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:43:48.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:43:48.618Z] 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. [2026-02-27T03:43:48.618Z] The best model improves the baseline by 14.52%. [2026-02-27T03:43:48.618Z] Top recommended movies for user id 72: [2026-02-27T03:43:48.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:43:48.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:43:48.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:43:48.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:43:48.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:43:48.618Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16846.280 ms) ====== [2026-02-27T03:43:48.618Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-27T03:43:48.618Z] GC before operation: completed in 117.979 ms, heap usage 358.030 MB -> 88.543 MB. [2026-02-27T03:43:51.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:43:53.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:43:56.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:43:58.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:43:59.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:44:01.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:44:02.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:44:04.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:44:04.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:44:04.493Z] The best model improves the baseline by 14.52%. [2026-02-27T03:44:04.493Z] Top recommended movies for user id 72: [2026-02-27T03:44:04.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:44:04.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:44:04.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:44:04.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:44:04.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:44:04.494Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15792.327 ms) ====== [2026-02-27T03:44:04.494Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-27T03:44:04.494Z] GC before operation: completed in 141.938 ms, heap usage 488.382 MB -> 89.550 MB. [2026-02-27T03:44:07.707Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:44:09.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:44:11.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:44:14.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:44:15.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:44:17.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:44:18.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:44:20.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:44:20.543Z] 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. [2026-02-27T03:44:20.543Z] The best model improves the baseline by 14.52%. [2026-02-27T03:44:21.502Z] Top recommended movies for user id 72: [2026-02-27T03:44:21.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:44:21.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:44:21.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:44:21.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:44:21.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:44:21.502Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16340.650 ms) ====== [2026-02-27T03:44:21.502Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-27T03:44:21.502Z] GC before operation: completed in 123.555 ms, heap usage 110.307 MB -> 89.267 MB. [2026-02-27T03:44:23.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:44:26.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:44:28.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:44:31.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:44:32.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:44:33.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:44:35.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:44:36.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:44:37.327Z] 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. [2026-02-27T03:44:37.327Z] The best model improves the baseline by 14.52%. [2026-02-27T03:44:37.327Z] Top recommended movies for user id 72: [2026-02-27T03:44:37.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:44:37.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:44:37.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:44:37.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:44:37.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:44:37.327Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16121.248 ms) ====== [2026-02-27T03:44:37.327Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-27T03:44:37.327Z] GC before operation: completed in 114.738 ms, heap usage 388.103 MB -> 89.521 MB. [2026-02-27T03:44:40.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:44:42.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:44:44.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:44:46.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:44:47.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:44:49.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:44:50.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:44:51.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:44:52.781Z] 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. [2026-02-27T03:44:52.781Z] The best model improves the baseline by 14.52%. [2026-02-27T03:44:52.781Z] Top recommended movies for user id 72: [2026-02-27T03:44:52.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:44:52.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:44:52.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:44:52.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:44:52.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:44:52.781Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15408.487 ms) ====== [2026-02-27T03:44:52.781Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-27T03:44:52.781Z] GC before operation: completed in 132.435 ms, heap usage 443.913 MB -> 90.053 MB. [2026-02-27T03:44:54.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:44:57.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:44:59.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:45:01.725Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:45:03.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:45:04.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:45:06.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:45:07.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:45:07.576Z] 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. [2026-02-27T03:45:07.576Z] The best model improves the baseline by 14.52%. [2026-02-27T03:45:08.535Z] Top recommended movies for user id 72: [2026-02-27T03:45:08.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:45:08.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:45:08.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:45:08.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:45:08.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:45:08.535Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15155.821 ms) ====== [2026-02-27T03:45:08.535Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-27T03:45:08.535Z] GC before operation: completed in 121.310 ms, heap usage 369.884 MB -> 89.837 MB. [2026-02-27T03:45:10.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:45:12.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:45:14.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:45:16.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:45:17.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:45:19.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:45:20.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:45:21.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:45:22.208Z] 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. [2026-02-27T03:45:22.208Z] The best model improves the baseline by 14.52%. [2026-02-27T03:45:22.208Z] Top recommended movies for user id 72: [2026-02-27T03:45:22.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:45:22.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:45:22.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:45:22.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:45:22.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:45:22.208Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13930.309 ms) ====== [2026-02-27T03:45:22.208Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-27T03:45:22.208Z] GC before operation: completed in 143.478 ms, heap usage 282.061 MB -> 89.942 MB. [2026-02-27T03:45:24.172Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:45:26.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:45:29.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:45:31.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:45:32.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:45:33.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:45:35.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:45:35.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:45:35.983Z] 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. [2026-02-27T03:45:35.983Z] The best model improves the baseline by 14.52%. [2026-02-27T03:45:35.983Z] Top recommended movies for user id 72: [2026-02-27T03:45:35.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:45:35.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:45:35.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:45:35.983Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:45:35.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:45:35.983Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14099.060 ms) ====== [2026-02-27T03:45:35.983Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-27T03:45:36.940Z] GC before operation: completed in 137.008 ms, heap usage 212.120 MB -> 89.665 MB. [2026-02-27T03:45:38.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:45:40.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:45:42.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:45:45.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:45:46.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:45:47.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:45:49.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:45:50.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:45:51.336Z] 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. [2026-02-27T03:45:51.336Z] The best model improves the baseline by 14.52%. [2026-02-27T03:45:51.336Z] Top recommended movies for user id 72: [2026-02-27T03:45:51.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:45:51.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:45:51.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:45:51.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:45:51.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:45:51.336Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14727.009 ms) ====== [2026-02-27T03:45:51.336Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-27T03:45:51.336Z] GC before operation: completed in 121.968 ms, heap usage 368.017 MB -> 90.228 MB. [2026-02-27T03:45:53.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:45:55.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:45:58.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:46:00.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:46:01.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:46:03.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:46:04.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:46:05.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:46:06.055Z] 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. [2026-02-27T03:46:06.055Z] The best model improves the baseline by 14.52%. [2026-02-27T03:46:06.055Z] Top recommended movies for user id 72: [2026-02-27T03:46:06.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:46:06.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:46:06.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:46:06.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:46:06.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:46:06.055Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14536.495 ms) ====== [2026-02-27T03:46:06.055Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-27T03:46:06.055Z] GC before operation: completed in 126.803 ms, heap usage 336.982 MB -> 89.688 MB. [2026-02-27T03:46:08.021Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:46:09.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:46:13.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:46:14.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:46:15.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:46:17.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:46:18.860Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:46:20.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:46:20.822Z] 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. [2026-02-27T03:46:20.822Z] The best model improves the baseline by 14.52%. [2026-02-27T03:46:20.822Z] Top recommended movies for user id 72: [2026-02-27T03:46:20.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:46:20.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:46:20.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:46:20.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:46:20.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:46:20.822Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14785.920 ms) ====== [2026-02-27T03:46:20.822Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-27T03:46:20.822Z] GC before operation: completed in 124.644 ms, heap usage 297.335 MB -> 90.001 MB. [2026-02-27T03:46:22.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:46:25.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:46:27.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:46:29.745Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:46:30.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:46:32.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:46:33.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:46:35.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:46:35.594Z] 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. [2026-02-27T03:46:35.594Z] The best model improves the baseline by 14.52%. [2026-02-27T03:46:35.594Z] Top recommended movies for user id 72: [2026-02-27T03:46:35.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:46:35.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:46:35.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:46:35.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:46:35.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:46:35.594Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14977.064 ms) ====== [2026-02-27T03:46:35.594Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-27T03:46:35.594Z] GC before operation: completed in 131.120 ms, heap usage 370.151 MB -> 90.127 MB. [2026-02-27T03:46:38.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:46:40.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:46:43.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:46:44.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:46:45.050Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:46:46.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:46:47.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:46:48.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:46:48.927Z] 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. [2026-02-27T03:46:48.927Z] The best model improves the baseline by 14.52%. [2026-02-27T03:46:48.927Z] Top recommended movies for user id 72: [2026-02-27T03:46:48.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:46:48.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:46:48.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:46:48.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:46:48.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:46:48.927Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13115.364 ms) ====== [2026-02-27T03:46:48.927Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-27T03:46:48.927Z] GC before operation: completed in 114.025 ms, heap usage 256.975 MB -> 89.797 MB. [2026-02-27T03:46:50.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:46:52.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:46:54.823Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:46:56.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:46:58.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:46:59.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:47:00.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:47:02.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:47:02.639Z] 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. [2026-02-27T03:47:02.639Z] The best model improves the baseline by 14.52%. [2026-02-27T03:47:02.639Z] Top recommended movies for user id 72: [2026-02-27T03:47:02.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:47:02.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:47:02.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:47:02.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:47:02.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:47:02.639Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13505.196 ms) ====== [2026-02-27T03:47:02.639Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-27T03:47:02.639Z] GC before operation: completed in 123.150 ms, heap usage 444.221 MB -> 90.374 MB. [2026-02-27T03:47:04.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:47:06.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:47:09.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:47:11.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:47:12.551Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:47:14.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:47:15.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:47:17.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:47:17.446Z] 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. [2026-02-27T03:47:17.446Z] The best model improves the baseline by 14.52%. [2026-02-27T03:47:17.446Z] Top recommended movies for user id 72: [2026-02-27T03:47:17.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:47:17.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:47:17.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:47:17.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:47:17.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:47:17.446Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14941.585 ms) ====== [2026-02-27T03:47:17.446Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-27T03:47:18.404Z] GC before operation: completed in 117.374 ms, heap usage 156.592 MB -> 89.740 MB. [2026-02-27T03:47:20.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:47:22.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:47:24.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:47:26.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:47:28.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:47:29.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:47:31.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:47:32.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:47:32.118Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:47:32.118Z] The best model improves the baseline by 14.52%. [2026-02-27T03:47:33.074Z] Top recommended movies for user id 72: [2026-02-27T03:47:33.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:47:33.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:47:33.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:47:33.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:47:33.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:47:33.074Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14746.373 ms) ====== [2026-02-27T03:47:33.074Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-27T03:47:33.074Z] GC before operation: completed in 117.399 ms, heap usage 367.903 MB -> 90.195 MB. [2026-02-27T03:47:35.039Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:47:37.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:47:38.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:47:41.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:47:42.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:47:43.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:47:44.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:47:45.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:47:46.445Z] 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. [2026-02-27T03:47:46.445Z] The best model improves the baseline by 14.52%. [2026-02-27T03:47:46.445Z] Top recommended movies for user id 72: [2026-02-27T03:47:46.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:47:46.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:47:46.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:47:46.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:47:46.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:47:46.445Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13494.667 ms) ====== [2026-02-27T03:47:46.445Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-27T03:47:46.445Z] GC before operation: completed in 120.220 ms, heap usage 635.452 MB -> 93.540 MB. [2026-02-27T03:47:48.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:47:50.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:47:53.438Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:47:55.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:47:57.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:47:58.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:47:59.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:48:01.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:48:01.259Z] 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. [2026-02-27T03:48:01.259Z] The best model improves the baseline by 14.52%. [2026-02-27T03:48:01.259Z] Top recommended movies for user id 72: [2026-02-27T03:48:01.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:48:01.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:48:01.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:48:01.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:48:01.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:48:01.259Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14897.803 ms) ====== [2026-02-27T03:48:01.259Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-27T03:48:01.259Z] GC before operation: completed in 142.269 ms, heap usage 297.459 MB -> 90.036 MB. [2026-02-27T03:48:03.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:48:05.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:48:08.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:48:09.190Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:48:11.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:48:12.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:48:13.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:48:15.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:48:15.062Z] 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. [2026-02-27T03:48:15.062Z] The best model improves the baseline by 14.52%. [2026-02-27T03:48:15.062Z] Top recommended movies for user id 72: [2026-02-27T03:48:15.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:48:15.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:48:15.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:48:15.062Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:48:15.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:48:15.062Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13617.206 ms) ====== [2026-02-27T03:48:16.019Z] ----------------------------------- [2026-02-27T03:48:16.019Z] renaissance-movie-lens_0_PASSED [2026-02-27T03:48:16.019Z] ----------------------------------- [2026-02-27T03:48:16.019Z] [2026-02-27T03:48:16.019Z] TEST TEARDOWN: [2026-02-27T03:48:16.019Z] Nothing to be done for teardown. [2026-02-27T03:48:16.019Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 03:48:15 2026 Epoch Time (ms): 1772164095099