[2026-03-17T23:29:29.743Z] Running test renaissance-movie-lens_0 ... [2026-03-17T23:29:29.743Z] =============================================== [2026-03-17T23:29:29.743Z] renaissance-movie-lens_0 Start Time: Tue Mar 17 23:29:29 2026 Epoch Time (ms): 1773790169569 [2026-03-17T23:29:29.743Z] variation: NoOptions [2026-03-17T23:29:29.743Z] JVM_OPTIONS: [2026-03-17T23:29:29.743Z] { \ [2026-03-17T23:29:29.743Z] echo ""; echo "TEST SETUP:"; \ [2026-03-17T23:29:29.743Z] echo "Nothing to be done for setup."; \ [2026-03-17T23:29:29.743Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../TKG/output_1773789561986/renaissance-movie-lens_0"; \ [2026-03-17T23:29:29.743Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../TKG/output_1773789561986/renaissance-movie-lens_0"; \ [2026-03-17T23:29:29.743Z] echo ""; echo "TESTING:"; \ [2026-03-17T23:29:29.744Z] "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/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_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../TKG/output_1773789561986/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-17T23:29:29.744Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../TKG/output_1773789561986/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-17T23:29:29.744Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-17T23:29:29.744Z] echo "Nothing to be done for teardown."; \ [2026-03-17T23:29:29.744Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_linux_rerun/aqa-tests/TKG/../TKG/output_1773789561986/TestTargetResult"; [2026-03-17T23:29:29.744Z] [2026-03-17T23:29:29.744Z] TEST SETUP: [2026-03-17T23:29:29.744Z] Nothing to be done for setup. [2026-03-17T23:29:29.744Z] [2026-03-17T23:29:29.744Z] TESTING: [2026-03-17T23:29:31.865Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-17T23:29:31.865Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-17T23:29:31.865Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-17T23:29:31.865Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-17T23:29:42.266Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-17T23:29:50.738Z] 23:29:49.597 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-17T23:29:52.708Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-17T23:29:52.708Z] Training: 60056, validation: 20285, test: 19854 [2026-03-17T23:29:52.708Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-17T23:29:52.708Z] GC before operation: completed in 116.134 ms, heap usage 269.070 MB -> 77.215 MB. [2026-03-17T23:29:59.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:30:05.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:30:08.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:30:12.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:30:14.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:30:15.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:30:17.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:30:19.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:30:20.586Z] 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. [2026-03-17T23:30:20.586Z] The best model improves the baseline by 14.52%. [2026-03-17T23:30:20.586Z] Top recommended movies for user id 72: [2026-03-17T23:30:20.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:30:20.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:30:20.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:30:20.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:30:20.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:30:20.586Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27545.712 ms) ====== [2026-03-17T23:30:20.586Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-17T23:30:20.586Z] GC before operation: completed in 335.643 ms, heap usage 555.197 MB -> 93.341 MB. [2026-03-17T23:30:25.086Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:30:27.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:30:30.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:30:34.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:30:35.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:30:37.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:30:39.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:30:40.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:30:40.041Z] 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. [2026-03-17T23:30:40.041Z] The best model improves the baseline by 14.52%. [2026-03-17T23:30:40.041Z] Top recommended movies for user id 72: [2026-03-17T23:30:40.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:30:40.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:30:40.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:30:40.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:30:40.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:30:40.041Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19499.332 ms) ====== [2026-03-17T23:30:40.041Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-17T23:30:40.041Z] GC before operation: completed in 186.758 ms, heap usage 652.164 MB -> 93.985 MB. [2026-03-17T23:30:43.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:30:45.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:30:48.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:30:50.075Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:30:51.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:30:51.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:30:53.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:30:54.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:30:54.928Z] 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. [2026-03-17T23:30:54.928Z] The best model improves the baseline by 14.52%. [2026-03-17T23:30:54.928Z] Top recommended movies for user id 72: [2026-03-17T23:30:54.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:30:54.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:30:54.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:30:54.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:30:54.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:30:54.928Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14776.026 ms) ====== [2026-03-17T23:30:54.928Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-17T23:30:55.942Z] GC before operation: completed in 167.943 ms, heap usage 877.665 MB -> 95.451 MB. [2026-03-17T23:30:57.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:30:59.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:31:02.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:31:04.559Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:31:05.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:31:07.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:31:08.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:31:09.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:31:09.415Z] 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. [2026-03-17T23:31:09.415Z] The best model improves the baseline by 14.52%. [2026-03-17T23:31:09.415Z] Top recommended movies for user id 72: [2026-03-17T23:31:09.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:31:09.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:31:09.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:31:09.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:31:09.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:31:09.415Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14422.665 ms) ====== [2026-03-17T23:31:09.415Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-17T23:31:10.373Z] GC before operation: completed in 189.769 ms, heap usage 123.308 MB -> 93.714 MB. [2026-03-17T23:31:12.342Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:31:14.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:31:17.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:31:19.341Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:31:20.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:31:22.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:31:23.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:31:24.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:31:25.176Z] 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. [2026-03-17T23:31:25.176Z] The best model improves the baseline by 14.52%. [2026-03-17T23:31:25.176Z] Top recommended movies for user id 72: [2026-03-17T23:31:25.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:31:25.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:31:25.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:31:25.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:31:25.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:31:25.176Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14946.689 ms) ====== [2026-03-17T23:31:25.176Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-17T23:31:25.176Z] GC before operation: completed in 173.379 ms, heap usage 369.617 MB -> 91.423 MB. [2026-03-17T23:31:28.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:31:30.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:31:32.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:31:34.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:31:35.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:31:37.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:31:38.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:31:39.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:31:39.016Z] 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. [2026-03-17T23:31:39.979Z] The best model improves the baseline by 14.52%. [2026-03-17T23:31:39.979Z] Top recommended movies for user id 72: [2026-03-17T23:31:39.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:31:39.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:31:39.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:31:39.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:31:39.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:31:39.979Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14492.488 ms) ====== [2026-03-17T23:31:39.979Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-17T23:31:39.979Z] GC before operation: completed in 174.127 ms, heap usage 237.479 MB -> 91.581 MB. [2026-03-17T23:31:41.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:31:43.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:31:45.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:31:47.916Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:31:49.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:31:50.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:31:51.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:31:52.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:31:53.725Z] 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. [2026-03-17T23:31:53.725Z] The best model improves the baseline by 14.52%. [2026-03-17T23:31:53.725Z] Top recommended movies for user id 72: [2026-03-17T23:31:53.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:31:53.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:31:53.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:31:53.725Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:31:53.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:31:53.725Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13684.854 ms) ====== [2026-03-17T23:31:53.725Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-17T23:31:53.725Z] GC before operation: completed in 207.912 ms, heap usage 276.856 MB -> 91.555 MB. [2026-03-17T23:31:55.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:31:57.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:31:59.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:32:02.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:32:03.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:32:04.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:32:05.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:32:07.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:32:07.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-17T23:32:07.511Z] The best model improves the baseline by 14.52%. [2026-03-17T23:32:07.511Z] Top recommended movies for user id 72: [2026-03-17T23:32:07.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:32:07.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:32:07.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:32:07.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:32:07.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:32:07.511Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13711.961 ms) ====== [2026-03-17T23:32:07.511Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-17T23:32:07.511Z] GC before operation: completed in 189.324 ms, heap usage 181.217 MB -> 91.732 MB. [2026-03-17T23:32:09.480Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:32:11.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:32:13.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:32:15.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:32:17.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:32:18.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:32:19.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:32:20.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:32:20.238Z] 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. [2026-03-17T23:32:20.238Z] The best model improves the baseline by 14.52%. [2026-03-17T23:32:21.197Z] Top recommended movies for user id 72: [2026-03-17T23:32:21.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:32:21.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:32:21.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:32:21.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:32:21.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:32:21.197Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13120.957 ms) ====== [2026-03-17T23:32:21.197Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-17T23:32:21.197Z] GC before operation: completed in 158.791 ms, heap usage 167.395 MB -> 95.616 MB. [2026-03-17T23:32:23.171Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:32:25.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:32:27.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:32:29.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:32:30.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:32:31.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:32:31.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:32:33.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:32:33.928Z] 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. [2026-03-17T23:32:33.928Z] The best model improves the baseline by 14.52%. [2026-03-17T23:32:33.928Z] Top recommended movies for user id 72: [2026-03-17T23:32:33.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:32:33.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:32:33.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:32:33.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:32:33.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:32:33.928Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12825.770 ms) ====== [2026-03-17T23:32:33.928Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-17T23:32:33.928Z] GC before operation: completed in 179.035 ms, heap usage 471.734 MB -> 92.077 MB. [2026-03-17T23:32:35.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:32:37.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:32:40.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:32:41.549Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:32:42.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:32:43.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:32:45.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:32:46.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:32:46.401Z] 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. [2026-03-17T23:32:46.401Z] The best model improves the baseline by 14.52%. [2026-03-17T23:32:46.401Z] Top recommended movies for user id 72: [2026-03-17T23:32:46.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:32:46.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:32:46.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:32:46.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:32:46.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:32:46.401Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12662.163 ms) ====== [2026-03-17T23:32:46.401Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-17T23:32:46.401Z] GC before operation: completed in 166.008 ms, heap usage 1004.623 MB -> 96.514 MB. [2026-03-17T23:32:49.435Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:32:51.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:32:53.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:32:55.340Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:32:56.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:32:57.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:32:58.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:33:00.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:33:00.186Z] 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. [2026-03-17T23:33:00.186Z] The best model improves the baseline by 14.52%. [2026-03-17T23:33:00.186Z] Top recommended movies for user id 72: [2026-03-17T23:33:00.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:33:00.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:33:00.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:33:00.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:33:00.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:33:00.186Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13433.333 ms) ====== [2026-03-17T23:33:00.186Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-17T23:33:00.186Z] GC before operation: completed in 171.080 ms, heap usage 516.119 MB -> 92.155 MB. [2026-03-17T23:33:02.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:33:04.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:33:07.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:33:08.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:33:10.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:33:11.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:33:12.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:33:12.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:33:13.958Z] 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. [2026-03-17T23:33:13.958Z] The best model improves the baseline by 14.52%. [2026-03-17T23:33:13.958Z] Top recommended movies for user id 72: [2026-03-17T23:33:13.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:33:13.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:33:13.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:33:13.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:33:13.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:33:13.958Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13431.066 ms) ====== [2026-03-17T23:33:13.958Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-17T23:33:13.958Z] GC before operation: completed in 224.015 ms, heap usage 617.678 MB -> 95.500 MB. [2026-03-17T23:33:15.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:33:17.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:33:19.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:33:21.833Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:33:23.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:33:24.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:33:25.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:33:26.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:33:26.709Z] 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. [2026-03-17T23:33:26.709Z] The best model improves the baseline by 14.52%. [2026-03-17T23:33:26.709Z] Top recommended movies for user id 72: [2026-03-17T23:33:26.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:33:26.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:33:26.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:33:26.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:33:26.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:33:26.709Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12944.889 ms) ====== [2026-03-17T23:33:26.709Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-17T23:33:26.709Z] GC before operation: completed in 175.662 ms, heap usage 126.387 MB -> 94.194 MB. [2026-03-17T23:33:29.751Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:33:31.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:33:33.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:33:35.675Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:33:36.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:33:37.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:33:39.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:33:40.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:33:40.526Z] 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. [2026-03-17T23:33:40.526Z] The best model improves the baseline by 14.52%. [2026-03-17T23:33:40.526Z] Top recommended movies for user id 72: [2026-03-17T23:33:40.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:33:40.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:33:40.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:33:40.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:33:40.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:33:40.526Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13563.169 ms) ====== [2026-03-17T23:33:40.526Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-17T23:33:40.526Z] GC before operation: completed in 214.447 ms, heap usage 529.662 MB -> 95.535 MB. [2026-03-17T23:33:43.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:33:45.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:33:47.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:33:49.624Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:33:50.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:33:51.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:33:53.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:33:54.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:33:54.480Z] 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. [2026-03-17T23:33:54.480Z] The best model improves the baseline by 14.52%. [2026-03-17T23:33:54.480Z] Top recommended movies for user id 72: [2026-03-17T23:33:54.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:33:54.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:33:54.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:33:54.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:33:54.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:33:54.480Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13834.084 ms) ====== [2026-03-17T23:33:54.480Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-17T23:33:54.480Z] GC before operation: completed in 201.263 ms, heap usage 362.809 MB -> 91.890 MB. [2026-03-17T23:33:57.517Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:33:59.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:34:01.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:34:03.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:34:04.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:34:05.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:34:07.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:34:08.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:34:08.286Z] 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. [2026-03-17T23:34:08.286Z] The best model improves the baseline by 14.52%. [2026-03-17T23:34:08.286Z] Top recommended movies for user id 72: [2026-03-17T23:34:08.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:34:08.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:34:08.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:34:08.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:34:08.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:34:08.287Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13519.171 ms) ====== [2026-03-17T23:34:08.287Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-17T23:34:08.287Z] GC before operation: completed in 176.503 ms, heap usage 398.388 MB -> 92.058 MB. [2026-03-17T23:34:10.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:34:12.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:34:14.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:34:16.587Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:34:17.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:34:18.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:34:20.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:34:21.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:34:21.655Z] 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. [2026-03-17T23:34:21.655Z] The best model improves the baseline by 14.52%. [2026-03-17T23:34:21.655Z] Top recommended movies for user id 72: [2026-03-17T23:34:21.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:34:21.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:34:21.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:34:21.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:34:21.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:34:21.655Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13037.928 ms) ====== [2026-03-17T23:34:21.655Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-17T23:34:21.655Z] GC before operation: completed in 267.130 ms, heap usage 971.987 MB -> 96.493 MB. [2026-03-17T23:34:24.689Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:34:26.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:34:28.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:34:30.611Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:34:31.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:34:32.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:34:33.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:34:35.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:34:35.463Z] 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. [2026-03-17T23:34:35.463Z] The best model improves the baseline by 14.52%. [2026-03-17T23:34:35.463Z] Top recommended movies for user id 72: [2026-03-17T23:34:35.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:34:35.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:34:35.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:34:35.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:34:35.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:34:35.463Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13380.618 ms) ====== [2026-03-17T23:34:35.463Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-17T23:34:35.463Z] GC before operation: completed in 197.946 ms, heap usage 1.153 GB -> 97.391 MB. [2026-03-17T23:34:37.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T23:34:39.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T23:34:41.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T23:34:43.343Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T23:34:44.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T23:34:45.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T23:34:47.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T23:34:48.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T23:34:48.193Z] 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. [2026-03-17T23:34:48.193Z] The best model improves the baseline by 14.52%. [2026-03-17T23:34:48.193Z] Top recommended movies for user id 72: [2026-03-17T23:34:48.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-17T23:34:48.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-17T23:34:48.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-17T23:34:48.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-17T23:34:48.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-17T23:34:48.193Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12650.694 ms) ====== [2026-03-17T23:34:49.149Z] ----------------------------------- [2026-03-17T23:34:49.149Z] renaissance-movie-lens_0_PASSED [2026-03-17T23:34:49.149Z] ----------------------------------- [2026-03-17T23:34:49.149Z] [2026-03-17T23:34:49.149Z] TEST TEARDOWN: [2026-03-17T23:34:49.149Z] Nothing to be done for teardown. [2026-03-17T23:34:49.149Z] renaissance-movie-lens_0 Finish Time: Tue Mar 17 23:34:48 2026 Epoch Time (ms): 1773790488791