[2026-02-13T06:35:05.418Z] Running test renaissance-movie-lens_0 ... [2026-02-13T06:35:05.418Z] =============================================== [2026-02-13T06:35:05.418Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 06:35:04 2026 Epoch Time (ms): 1770964504621 [2026-02-13T06:35:05.418Z] variation: NoOptions [2026-02-13T06:35:05.418Z] JVM_OPTIONS: [2026-02-13T06:35:05.418Z] { \ [2026-02-13T06:35:05.418Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T06:35:05.418Z] echo "Nothing to be done for setup."; \ [2026-02-13T06:35:05.418Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709636693750/renaissance-movie-lens_0"; \ [2026-02-13T06:35:05.418Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709636693750/renaissance-movie-lens_0"; \ [2026-02-13T06:35:05.418Z] echo ""; echo "TESTING:"; \ [2026-02-13T06:35:05.418Z] "/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_17709636693750/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T06:35:05.418Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709636693750/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T06:35:05.418Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T06:35:05.418Z] echo "Nothing to be done for teardown."; \ [2026-02-13T06:35:05.418Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17709636693750/TestTargetResult"; [2026-02-13T06:35:05.418Z] [2026-02-13T06:35:05.418Z] TEST SETUP: [2026-02-13T06:35:05.418Z] Nothing to be done for setup. [2026-02-13T06:35:05.418Z] [2026-02-13T06:35:05.418Z] TESTING: [2026-02-13T06:35:05.418Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T06:35:05.418Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17709636693750/renaissance-movie-lens_0/launcher-063504-16463782457377064876/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T06:35:05.418Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T06:35:05.418Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T06:35:10.869Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T06:35:17.609Z] 06:35:16.312 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-13T06:35:18.578Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T06:35:19.547Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T06:35:19.547Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T06:35:19.547Z] GC before operation: completed in 133.930 ms, heap usage 236.217 MB -> 75.693 MB. [2026-02-13T06:35:25.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:35:28.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:35:31.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:35:33.127Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:35:35.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:35:37.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:35:38.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:35:40.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:35:40.064Z] 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. [2026-02-13T06:35:40.064Z] The best model improves the baseline by 14.52%. [2026-02-13T06:35:41.033Z] Top recommended movies for user id 72: [2026-02-13T06:35:41.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:35:41.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:35:41.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:35:41.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:35:41.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:35:41.033Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21401.180 ms) ====== [2026-02-13T06:35:41.033Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T06:35:41.033Z] GC before operation: completed in 140.757 ms, heap usage 192.336 MB -> 92.448 MB. [2026-02-13T06:35:44.154Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:35:46.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:35:49.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:35:51.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:35:53.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:35:54.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:35:56.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:35:58.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:35:58.175Z] 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. [2026-02-13T06:35:58.175Z] The best model improves the baseline by 14.52%. [2026-02-13T06:35:58.175Z] Top recommended movies for user id 72: [2026-02-13T06:35:58.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:35:58.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:35:58.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:35:58.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:35:58.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:35:58.175Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17397.291 ms) ====== [2026-02-13T06:35:58.175Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T06:35:58.175Z] GC before operation: completed in 159.681 ms, heap usage 416.382 MB -> 88.786 MB. [2026-02-13T06:36:01.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:36:03.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:36:06.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:36:08.071Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:36:10.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:36:11.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:36:13.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:36:14.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:36:15.253Z] 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. [2026-02-13T06:36:15.253Z] The best model improves the baseline by 14.52%. [2026-02-13T06:36:15.253Z] Top recommended movies for user id 72: [2026-02-13T06:36:15.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:36:15.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:36:15.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:36:15.253Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:36:15.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:36:15.253Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16699.667 ms) ====== [2026-02-13T06:36:15.253Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T06:36:15.253Z] GC before operation: completed in 135.028 ms, heap usage 265.227 MB -> 89.310 MB. [2026-02-13T06:36:17.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:36:20.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:36:22.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:36:25.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:36:26.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:36:28.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:36:29.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:36:30.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:36:31.241Z] 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. [2026-02-13T06:36:31.241Z] The best model improves the baseline by 14.52%. [2026-02-13T06:36:31.241Z] Top recommended movies for user id 72: [2026-02-13T06:36:31.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:36:31.241Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:36:31.241Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:36:31.241Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:36:31.241Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:36:31.241Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15792.517 ms) ====== [2026-02-13T06:36:31.241Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T06:36:31.241Z] GC before operation: completed in 141.803 ms, heap usage 168.623 MB -> 89.454 MB. [2026-02-13T06:36:33.234Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:36:36.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:36:38.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:36:40.278Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:36:42.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:36:43.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:36:44.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:36:46.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:36:46.217Z] 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. [2026-02-13T06:36:46.217Z] The best model improves the baseline by 14.52%. [2026-02-13T06:36:46.217Z] Top recommended movies for user id 72: [2026-02-13T06:36:46.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:36:46.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:36:46.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:36:46.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:36:46.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:36:46.217Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15151.674 ms) ====== [2026-02-13T06:36:46.217Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T06:36:46.217Z] GC before operation: completed in 128.779 ms, heap usage 120.681 MB -> 89.312 MB. [2026-02-13T06:36:49.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:36:51.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:36:53.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:36:56.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:36:57.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:36:59.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:37:00.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:37:01.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:37:02.105Z] 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. [2026-02-13T06:37:02.105Z] The best model improves the baseline by 14.52%. [2026-02-13T06:37:02.105Z] Top recommended movies for user id 72: [2026-02-13T06:37:02.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:37:02.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:37:02.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:37:02.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:37:02.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:37:02.106Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15584.638 ms) ====== [2026-02-13T06:37:02.106Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T06:37:02.106Z] GC before operation: completed in 143.075 ms, heap usage 131.295 MB -> 89.716 MB. [2026-02-13T06:37:05.170Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:37:07.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:37:09.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:37:11.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:37:13.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:37:14.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:37:16.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:37:17.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:37:17.104Z] 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. [2026-02-13T06:37:17.104Z] The best model improves the baseline by 14.52%. [2026-02-13T06:37:17.104Z] Top recommended movies for user id 72: [2026-02-13T06:37:17.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:37:17.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:37:17.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:37:17.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:37:17.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:37:17.104Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15326.713 ms) ====== [2026-02-13T06:37:17.104Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T06:37:18.072Z] GC before operation: completed in 130.129 ms, heap usage 522.604 MB -> 90.119 MB. [2026-02-13T06:37:20.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:37:22.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:37:24.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:37:26.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:37:27.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:37:29.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:37:29.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:37:30.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:37:31.923Z] 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. [2026-02-13T06:37:31.923Z] The best model improves the baseline by 14.52%. [2026-02-13T06:37:31.923Z] Top recommended movies for user id 72: [2026-02-13T06:37:31.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:37:31.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:37:31.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:37:31.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:37:31.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:37:31.923Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14055.509 ms) ====== [2026-02-13T06:37:31.923Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T06:37:31.923Z] GC before operation: completed in 136.417 ms, heap usage 385.589 MB -> 90.146 MB. [2026-02-13T06:37:33.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:37:35.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:37:38.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:37:40.963Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:37:41.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:37:42.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:37:44.895Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:37:45.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:37:47.837Z] 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. [2026-02-13T06:37:47.837Z] The best model improves the baseline by 14.52%. [2026-02-13T06:37:47.837Z] Top recommended movies for user id 72: [2026-02-13T06:37:47.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:37:47.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:37:47.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:37:47.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:37:47.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:37:47.837Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14802.349 ms) ====== [2026-02-13T06:37:47.837Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T06:37:47.837Z] GC before operation: completed in 156.918 ms, heap usage 273.349 MB -> 89.985 MB. [2026-02-13T06:37:48.806Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:37:51.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:37:53.866Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:37:55.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:37:57.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:37:58.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:37:59.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:38:01.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:38:01.802Z] 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. [2026-02-13T06:38:01.802Z] The best model improves the baseline by 14.52%. [2026-02-13T06:38:01.802Z] Top recommended movies for user id 72: [2026-02-13T06:38:01.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:38:01.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:38:01.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:38:01.802Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:38:01.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:38:01.802Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15157.303 ms) ====== [2026-02-13T06:38:01.802Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T06:38:01.802Z] GC before operation: completed in 145.789 ms, heap usage 422.005 MB -> 90.174 MB. [2026-02-13T06:38:03.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:38:05.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:38:08.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:38:10.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:38:11.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:38:12.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:38:14.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:38:15.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:38:15.742Z] 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. [2026-02-13T06:38:15.742Z] The best model improves the baseline by 14.52%. [2026-02-13T06:38:15.742Z] Top recommended movies for user id 72: [2026-02-13T06:38:15.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:38:15.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:38:15.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:38:15.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:38:15.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:38:15.742Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13783.080 ms) ====== [2026-02-13T06:38:15.742Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T06:38:15.742Z] GC before operation: completed in 132.677 ms, heap usage 231.840 MB -> 91.523 MB. [2026-02-13T06:38:17.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:38:20.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:38:22.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:38:24.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:38:25.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:38:27.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:38:28.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:38:30.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:38:30.713Z] 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. [2026-02-13T06:38:30.713Z] The best model improves the baseline by 14.52%. [2026-02-13T06:38:30.713Z] Top recommended movies for user id 72: [2026-02-13T06:38:30.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:38:30.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:38:30.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:38:30.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:38:30.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:38:30.713Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14786.513 ms) ====== [2026-02-13T06:38:30.713Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T06:38:30.713Z] GC before operation: completed in 121.277 ms, heap usage 112.502 MB -> 89.857 MB. [2026-02-13T06:38:32.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:38:35.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:38:37.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:38:39.966Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:38:40.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:38:42.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:38:43.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:38:44.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:38:44.857Z] 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. [2026-02-13T06:38:44.857Z] The best model improves the baseline by 14.52%. [2026-02-13T06:38:45.826Z] Top recommended movies for user id 72: [2026-02-13T06:38:45.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:38:45.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:38:45.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:38:45.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:38:45.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:38:45.826Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14462.364 ms) ====== [2026-02-13T06:38:45.826Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T06:38:45.826Z] GC before operation: completed in 110.572 ms, heap usage 371.815 MB -> 90.289 MB. [2026-02-13T06:38:47.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:38:49.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:38:51.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:38:53.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:38:55.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:38:56.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:38:58.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:38:59.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:38:59.808Z] 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. [2026-02-13T06:38:59.808Z] The best model improves the baseline by 14.52%. [2026-02-13T06:39:00.776Z] Top recommended movies for user id 72: [2026-02-13T06:39:00.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:39:00.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:39:00.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:39:00.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:39:00.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:39:00.777Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14734.157 ms) ====== [2026-02-13T06:39:00.777Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T06:39:00.777Z] GC before operation: completed in 165.684 ms, heap usage 118.446 MB -> 89.785 MB. [2026-02-13T06:39:02.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:39:04.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:39:06.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:39:08.759Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:39:10.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:39:11.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:39:13.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:39:14.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:39:15.640Z] 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. [2026-02-13T06:39:15.640Z] The best model improves the baseline by 14.52%. [2026-02-13T06:39:15.640Z] Top recommended movies for user id 72: [2026-02-13T06:39:15.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:39:15.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:39:15.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:39:15.640Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:39:15.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:39:15.640Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14952.367 ms) ====== [2026-02-13T06:39:15.640Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T06:39:15.640Z] GC before operation: completed in 136.031 ms, heap usage 117.371 MB -> 90.004 MB. [2026-02-13T06:39:17.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:39:19.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:39:21.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:39:24.564Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:39:24.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:39:26.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:39:27.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:39:28.498Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:39:29.469Z] 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. [2026-02-13T06:39:29.469Z] The best model improves the baseline by 14.52%. [2026-02-13T06:39:29.469Z] Top recommended movies for user id 72: [2026-02-13T06:39:29.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:39:29.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:39:29.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:39:29.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:39:29.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:39:29.469Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13798.672 ms) ====== [2026-02-13T06:39:29.469Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T06:39:29.469Z] GC before operation: completed in 116.410 ms, heap usage 297.162 MB -> 90.086 MB. [2026-02-13T06:39:31.460Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:39:33.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:39:36.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:39:38.514Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:39:39.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:39:40.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:39:42.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:39:43.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:39:43.407Z] 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. [2026-02-13T06:39:43.407Z] The best model improves the baseline by 14.52%. [2026-02-13T06:39:44.375Z] Top recommended movies for user id 72: [2026-02-13T06:39:44.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:39:44.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:39:44.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:39:44.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:39:44.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:39:44.375Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14474.646 ms) ====== [2026-02-13T06:39:44.375Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T06:39:44.375Z] GC before operation: completed in 121.741 ms, heap usage 445.515 MB -> 90.371 MB. [2026-02-13T06:39:46.366Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:39:48.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:39:50.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:39:52.439Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:39:54.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:39:55.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:39:57.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:39:58.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:39:59.116Z] 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. [2026-02-13T06:39:59.117Z] The best model improves the baseline by 14.52%. [2026-02-13T06:39:59.117Z] Top recommended movies for user id 72: [2026-02-13T06:39:59.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:39:59.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:39:59.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:39:59.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:39:59.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:39:59.117Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15061.372 ms) ====== [2026-02-13T06:39:59.117Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T06:39:59.117Z] GC before operation: completed in 202.439 ms, heap usage 153.273 MB -> 89.764 MB. [2026-02-13T06:40:01.118Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:40:04.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:40:06.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:40:08.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:40:10.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:40:11.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:40:13.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:40:14.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:40:14.169Z] 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. [2026-02-13T06:40:14.169Z] The best model improves the baseline by 14.52%. [2026-02-13T06:40:15.139Z] Top recommended movies for user id 72: [2026-02-13T06:40:15.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:40:15.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:40:15.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:40:15.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:40:15.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:40:15.139Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15360.605 ms) ====== [2026-02-13T06:40:15.139Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T06:40:15.139Z] GC before operation: completed in 121.904 ms, heap usage 368.323 MB -> 90.218 MB. [2026-02-13T06:40:17.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T06:40:19.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T06:40:21.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T06:40:23.097Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T06:40:24.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T06:40:25.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T06:40:27.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T06:40:27.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T06:40:27.998Z] 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. [2026-02-13T06:40:27.998Z] The best model improves the baseline by 14.52%. [2026-02-13T06:40:27.998Z] Top recommended movies for user id 72: [2026-02-13T06:40:27.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T06:40:27.998Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T06:40:27.998Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T06:40:27.998Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T06:40:27.998Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T06:40:27.998Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13608.827 ms) ====== [2026-02-13T06:40:28.970Z] ----------------------------------- [2026-02-13T06:40:28.970Z] renaissance-movie-lens_0_PASSED [2026-02-13T06:40:28.970Z] ----------------------------------- [2026-02-13T06:40:28.970Z] [2026-02-13T06:40:28.970Z] TEST TEARDOWN: [2026-02-13T06:40:28.970Z] Nothing to be done for teardown. [2026-02-13T06:40:28.970Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 06:40:28 2026 Epoch Time (ms): 1770964828330