[2026-02-19T22:42:21.055Z] Running test renaissance-movie-lens_0 ... [2026-02-19T22:42:21.055Z] =============================================== [2026-02-19T22:42:21.055Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 22:42:19 2026 Epoch Time (ms): 1771540939847 [2026-02-19T22:42:21.055Z] variation: NoOptions [2026-02-19T22:42:21.055Z] JVM_OPTIONS: [2026-02-19T22:42:21.055Z] { \ [2026-02-19T22:42:21.056Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T22:42:21.056Z] echo "Nothing to be done for setup."; \ [2026-02-19T22:42:21.056Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715401207692/renaissance-movie-lens_0"; \ [2026-02-19T22:42:21.056Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715401207692/renaissance-movie-lens_0"; \ [2026-02-19T22:42:21.056Z] echo ""; echo "TESTING:"; \ [2026-02-19T22:42:21.056Z] "/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_17715401207692/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T22:42:21.056Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715401207692/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T22:42:21.056Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T22:42:21.056Z] echo "Nothing to be done for teardown."; \ [2026-02-19T22:42:21.056Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715401207692/TestTargetResult"; [2026-02-19T22:42:21.056Z] [2026-02-19T22:42:21.056Z] TEST SETUP: [2026-02-19T22:42:21.056Z] Nothing to be done for setup. [2026-02-19T22:42:21.056Z] [2026-02-19T22:42:21.056Z] TESTING: [2026-02-19T22:42:21.056Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-19T22:42:21.056Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17715401207692/renaissance-movie-lens_0/launcher-224219-14492778892956375664/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-19T22:42:21.056Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-19T22:42:21.056Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-19T22:42:26.469Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T22:42:31.879Z] 22:42:31.600 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. [2026-02-19T22:42:33.915Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T22:42:34.875Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T22:42:34.875Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T22:42:34.875Z] GC before operation: completed in 157.498 ms, heap usage 596.478 MB -> 75.739 MB. [2026-02-19T22:42:40.295Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:42:43.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:42:46.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:42:48.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:42:50.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:42:52.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:42:54.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:42:55.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:42:56.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-19T22:42:56.195Z] The best model improves the baseline by 14.52%. [2026-02-19T22:42:56.195Z] Top recommended movies for user id 72: [2026-02-19T22:42:56.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:42:56.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:42:56.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:42:56.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:42:56.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:42:56.195Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21456.783 ms) ====== [2026-02-19T22:42:56.195Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T22:42:56.195Z] GC before operation: completed in 138.456 ms, heap usage 478.418 MB -> 86.440 MB. [2026-02-19T22:42:59.234Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:01.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:04.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:06.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:07.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:09.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:10.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:43:12.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:43:12.853Z] 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. [2026-02-19T22:43:12.853Z] The best model improves the baseline by 14.52%. [2026-02-19T22:43:12.853Z] Top recommended movies for user id 72: [2026-02-19T22:43:12.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:43:12.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:43:12.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:43:12.853Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:43:12.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:43:12.853Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16588.388 ms) ====== [2026-02-19T22:43:12.853Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T22:43:12.853Z] GC before operation: completed in 126.545 ms, heap usage 740.472 MB -> 92.178 MB. [2026-02-19T22:43:14.821Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:17.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:19.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:21.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:23.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:24.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:26.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:43:28.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:43:28.736Z] 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. [2026-02-19T22:43:28.736Z] The best model improves the baseline by 14.52%. [2026-02-19T22:43:28.736Z] Top recommended movies for user id 72: [2026-02-19T22:43:28.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:43:28.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:43:28.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:43:28.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:43:28.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:43:28.736Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15699.327 ms) ====== [2026-02-19T22:43:28.736Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T22:43:28.737Z] GC before operation: completed in 145.138 ms, heap usage 214.353 MB -> 88.998 MB. [2026-02-19T22:43:31.786Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:33.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:35.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:37.693Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:39.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:41.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:42.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:43:44.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:43:44.748Z] 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. [2026-02-19T22:43:44.748Z] The best model improves the baseline by 14.52%. [2026-02-19T22:43:44.748Z] Top recommended movies for user id 72: [2026-02-19T22:43:44.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:43:44.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:43:44.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:43:44.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:43:44.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:43:44.748Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15721.164 ms) ====== [2026-02-19T22:43:44.748Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T22:43:44.748Z] GC before operation: completed in 131.218 ms, heap usage 105.728 MB -> 89.185 MB. [2026-02-19T22:43:46.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:49.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:52.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:54.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:55.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:57.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:58.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:00.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:00.458Z] 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. [2026-02-19T22:44:00.458Z] The best model improves the baseline by 14.52%. [2026-02-19T22:44:00.458Z] Top recommended movies for user id 72: [2026-02-19T22:44:00.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:44:00.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:44:00.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:44:00.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:44:00.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:44:00.458Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15995.583 ms) ====== [2026-02-19T22:44:00.458Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T22:44:00.458Z] GC before operation: completed in 131.988 ms, heap usage 393.453 MB -> 89.471 MB. [2026-02-19T22:44:03.498Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:05.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:07.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:09.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:11.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:12.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:14.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:15.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:15.300Z] 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. [2026-02-19T22:44:15.300Z] The best model improves the baseline by 14.52%. [2026-02-19T22:44:16.264Z] Top recommended movies for user id 72: [2026-02-19T22:44:16.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:44:16.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:44:16.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:44:16.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:44:16.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:44:16.264Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15008.955 ms) ====== [2026-02-19T22:44:16.264Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T22:44:16.264Z] GC before operation: completed in 140.198 ms, heap usage 418.342 MB -> 89.875 MB. [2026-02-19T22:44:18.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:20.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:23.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:25.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:26.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:27.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:29.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:30.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:31.050Z] 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. [2026-02-19T22:44:31.050Z] The best model improves the baseline by 14.52%. [2026-02-19T22:44:31.050Z] Top recommended movies for user id 72: [2026-02-19T22:44:31.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:44:31.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:44:31.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:44:31.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:44:31.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:44:31.050Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14755.945 ms) ====== [2026-02-19T22:44:31.050Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T22:44:31.050Z] GC before operation: completed in 108.458 ms, heap usage 170.362 MB -> 89.520 MB. [2026-02-19T22:44:33.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:34.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:38.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:41.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:42.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:42.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:44.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:45.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:46.094Z] 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. [2026-02-19T22:44:46.094Z] The best model improves the baseline by 14.52%. [2026-02-19T22:44:46.094Z] Top recommended movies for user id 72: [2026-02-19T22:44:46.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:44:46.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:44:46.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:44:46.094Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:44:46.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:44:46.094Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15016.355 ms) ====== [2026-02-19T22:44:46.094Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T22:44:46.094Z] GC before operation: completed in 116.550 ms, heap usage 100.334 MB -> 89.898 MB. [2026-02-19T22:44:48.062Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:50.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:52.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:53.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:55.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:56.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:58.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:59.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:59.828Z] 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. [2026-02-19T22:44:59.828Z] The best model improves the baseline by 14.52%. [2026-02-19T22:44:59.828Z] Top recommended movies for user id 72: [2026-02-19T22:44:59.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:44:59.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:44:59.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:44:59.828Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:44:59.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:44:59.828Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14191.173 ms) ====== [2026-02-19T22:44:59.828Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T22:45:00.787Z] GC before operation: completed in 137.970 ms, heap usage 351.544 MB -> 89.692 MB. [2026-02-19T22:45:02.770Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:04.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:06.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:08.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:10.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:11.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:13.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:14.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:14.659Z] 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. [2026-02-19T22:45:14.659Z] The best model improves the baseline by 14.52%. [2026-02-19T22:45:14.659Z] Top recommended movies for user id 72: [2026-02-19T22:45:14.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:45:14.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:45:14.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:45:14.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:45:14.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:45:14.659Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14640.149 ms) ====== [2026-02-19T22:45:14.659Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T22:45:15.618Z] GC before operation: completed in 173.967 ms, heap usage 198.198 MB -> 89.806 MB. [2026-02-19T22:45:17.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:19.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:21.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:23.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:24.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:26.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:27.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:28.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:28.508Z] 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. [2026-02-19T22:45:28.508Z] The best model improves the baseline by 14.52%. [2026-02-19T22:45:29.469Z] Top recommended movies for user id 72: [2026-02-19T22:45:29.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:45:29.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:45:29.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:45:29.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:45:29.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:45:29.469Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13837.820 ms) ====== [2026-02-19T22:45:29.469Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T22:45:29.469Z] GC before operation: completed in 146.844 ms, heap usage 620.168 MB -> 93.300 MB. [2026-02-19T22:45:32.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:33.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:35.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:37.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:38.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:39.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:41.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:42.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:42.248Z] 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. [2026-02-19T22:45:42.248Z] The best model improves the baseline by 14.52%. [2026-02-19T22:45:42.248Z] Top recommended movies for user id 72: [2026-02-19T22:45:42.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:45:42.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:45:42.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:45:42.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:45:42.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:45:42.248Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13431.323 ms) ====== [2026-02-19T22:45:42.248Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T22:45:42.248Z] GC before operation: completed in 125.012 ms, heap usage 545.717 MB -> 93.471 MB. [2026-02-19T22:45:45.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:47.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:49.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:51.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:52.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:54.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:55.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:57.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:57.101Z] 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. [2026-02-19T22:45:57.101Z] The best model improves the baseline by 14.52%. [2026-02-19T22:45:57.101Z] Top recommended movies for user id 72: [2026-02-19T22:45:57.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:45:57.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:45:57.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:45:57.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:45:57.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:45:57.101Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14428.515 ms) ====== [2026-02-19T22:45:57.101Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T22:45:57.101Z] GC before operation: completed in 142.882 ms, heap usage 291.383 MB -> 90.056 MB. [2026-02-19T22:45:59.093Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:02.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:04.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:06.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:07.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:08.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:09.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:10.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:11.877Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-19T22:46:11.877Z] The best model improves the baseline by 14.52%. [2026-02-19T22:46:11.877Z] Top recommended movies for user id 72: [2026-02-19T22:46:11.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:46:11.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:46:11.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:46:11.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:46:11.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:46:11.878Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14515.316 ms) ====== [2026-02-19T22:46:11.878Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T22:46:11.878Z] GC before operation: completed in 123.687 ms, heap usage 419.156 MB -> 89.995 MB. [2026-02-19T22:46:13.849Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:15.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:18.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:20.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:21.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:23.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:24.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:25.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:26.716Z] 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. [2026-02-19T22:46:26.716Z] The best model improves the baseline by 14.52%. [2026-02-19T22:46:26.716Z] Top recommended movies for user id 72: [2026-02-19T22:46:26.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:46:26.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:46:26.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:46:26.716Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:46:26.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:46:26.716Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14591.219 ms) ====== [2026-02-19T22:46:26.716Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T22:46:26.716Z] GC before operation: completed in 127.082 ms, heap usage 335.217 MB -> 90.090 MB. [2026-02-19T22:46:28.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:30.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:32.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:34.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:35.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:37.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:38.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:40.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:40.473Z] 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. [2026-02-19T22:46:40.473Z] The best model improves the baseline by 14.52%. [2026-02-19T22:46:40.473Z] Top recommended movies for user id 72: [2026-02-19T22:46:40.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:46:40.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:46:40.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:46:40.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:46:40.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:46:40.473Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13984.014 ms) ====== [2026-02-19T22:46:40.473Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T22:46:40.473Z] GC before operation: completed in 170.630 ms, heap usage 353.749 MB -> 90.002 MB. [2026-02-19T22:46:43.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:45.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:47.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:49.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:51.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:52.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:54.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:55.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:55.283Z] 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. [2026-02-19T22:46:55.283Z] The best model improves the baseline by 14.52%. [2026-02-19T22:46:55.283Z] Top recommended movies for user id 72: [2026-02-19T22:46:55.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:46:55.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:46:55.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:46:55.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:46:55.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:46:55.283Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14788.286 ms) ====== [2026-02-19T22:46:55.283Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T22:46:55.283Z] GC before operation: completed in 131.796 ms, heap usage 121.778 MB -> 89.891 MB. [2026-02-19T22:46:58.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:00.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:02.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:04.245Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:06.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:07.176Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:09.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:10.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:10.108Z] 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. [2026-02-19T22:47:10.108Z] The best model improves the baseline by 14.52%. [2026-02-19T22:47:10.108Z] Top recommended movies for user id 72: [2026-02-19T22:47:10.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:47:10.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:47:10.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:47:10.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:47:10.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:47:10.108Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14771.633 ms) ====== [2026-02-19T22:47:10.108Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T22:47:11.070Z] GC before operation: completed in 153.380 ms, heap usage 279.478 MB -> 89.719 MB. [2026-02-19T22:47:13.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:14.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:16.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:19.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:20.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:21.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:22.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:24.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:24.816Z] 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. [2026-02-19T22:47:24.816Z] The best model improves the baseline by 14.52%. [2026-02-19T22:47:24.816Z] Top recommended movies for user id 72: [2026-02-19T22:47:24.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:47:24.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:47:24.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:47:24.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:47:24.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:47:24.816Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14256.802 ms) ====== [2026-02-19T22:47:24.816Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T22:47:24.816Z] GC before operation: completed in 140.963 ms, heap usage 288.556 MB -> 89.952 MB. [2026-02-19T22:47:26.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:28.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:30.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:32.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:33.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:35.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:36.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:37.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:37.523Z] 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. [2026-02-19T22:47:37.523Z] The best model improves the baseline by 14.52%. [2026-02-19T22:47:38.481Z] Top recommended movies for user id 72: [2026-02-19T22:47:38.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T22:47:38.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T22:47:38.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T22:47:38.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T22:47:38.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T22:47:38.481Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12972.090 ms) ====== [2026-02-19T22:47:38.481Z] ----------------------------------- [2026-02-19T22:47:38.481Z] renaissance-movie-lens_0_PASSED [2026-02-19T22:47:38.481Z] ----------------------------------- [2026-02-19T22:47:38.481Z] [2026-02-19T22:47:38.481Z] TEST TEARDOWN: [2026-02-19T22:47:38.481Z] Nothing to be done for teardown. [2026-02-19T22:47:38.481Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 22:47:37 2026 Epoch Time (ms): 1771541257958