[2026-02-26T23:22:34.332Z] Running test renaissance-movie-lens_0 ... [2026-02-26T23:22:34.332Z] =============================================== [2026-02-26T23:22:34.332Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 23:22:33 2026 Epoch Time (ms): 1772148153714 [2026-02-26T23:22:34.332Z] variation: NoOptions [2026-02-26T23:22:34.332Z] JVM_OPTIONS: [2026-02-26T23:22:34.332Z] { \ [2026-02-26T23:22:34.332Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T23:22:34.332Z] echo "Nothing to be done for setup."; \ [2026-02-26T23:22:34.332Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721467638749/renaissance-movie-lens_0"; \ [2026-02-26T23:22:34.332Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721467638749/renaissance-movie-lens_0"; \ [2026-02-26T23:22:34.332Z] echo ""; echo "TESTING:"; \ [2026-02-26T23:22:34.332Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721467638749/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T23:22:34.332Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721467638749/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T23:22:34.332Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T23:22:34.332Z] echo "Nothing to be done for teardown."; \ [2026-02-26T23:22:34.332Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721467638749/TestTargetResult"; [2026-02-26T23:22:34.332Z] [2026-02-26T23:22:34.332Z] TEST SETUP: [2026-02-26T23:22:34.332Z] Nothing to be done for setup. [2026-02-26T23:22:34.332Z] [2026-02-26T23:22:34.332Z] TESTING: [2026-02-26T23:22:34.332Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-26T23:22:34.332Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17721467638749/renaissance-movie-lens_0/launcher-232233-14876642457929182421/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-26T23:22:34.332Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-26T23:22:34.332Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-26T23:22:39.170Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-26T23:22:46.461Z] 23:22:46.367 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T23:22:50.295Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T23:22:50.295Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T23:22:50.295Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T23:22:50.936Z] GC before operation: completed in 157.010 ms, heap usage 160.500 MB -> 75.432 MB. [2026-02-26T23:22:59.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:23:03.482Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:23:08.348Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:23:11.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:23:13.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:23:15.451Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:23:17.541Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:23:19.629Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:23:19.629Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:23:20.273Z] The best model improves the baseline by 14.34%. [2026-02-26T23:23:20.273Z] Top recommended movies for user id 72: [2026-02-26T23:23:20.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:23:20.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:23:20.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:23:20.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:23:20.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:23:20.273Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29568.144 ms) ====== [2026-02-26T23:23:20.273Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T23:23:20.273Z] GC before operation: completed in 184.358 ms, heap usage 226.232 MB -> 99.211 MB. [2026-02-26T23:23:24.097Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:23:27.080Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:23:32.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:23:33.197Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:23:34.547Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:23:35.881Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:23:37.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:23:40.065Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:23:40.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:23:40.065Z] The best model improves the baseline by 14.34%. [2026-02-26T23:23:40.710Z] Top recommended movies for user id 72: [2026-02-26T23:23:40.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:23:40.710Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:23:40.710Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:23:40.710Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:23:40.710Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:23:40.710Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19987.839 ms) ====== [2026-02-26T23:23:40.710Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T23:23:40.710Z] GC before operation: completed in 164.284 ms, heap usage 207.111 MB -> 87.487 MB. [2026-02-26T23:23:43.627Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:23:46.543Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:23:49.461Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:23:51.558Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:23:53.643Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:23:54.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:23:57.067Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:23:58.406Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:23:59.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:23:59.049Z] The best model improves the baseline by 14.34%. [2026-02-26T23:23:59.049Z] Top recommended movies for user id 72: [2026-02-26T23:23:59.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:23:59.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:23:59.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:23:59.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:23:59.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:23:59.049Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18478.185 ms) ====== [2026-02-26T23:23:59.049Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T23:23:59.049Z] GC before operation: completed in 155.378 ms, heap usage 174.015 MB -> 88.198 MB. [2026-02-26T23:24:01.959Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:24:04.870Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:24:07.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:24:09.885Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:24:11.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:24:13.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:24:14.655Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:24:16.748Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:24:16.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:24:16.748Z] The best model improves the baseline by 14.34%. [2026-02-26T23:24:16.748Z] Top recommended movies for user id 72: [2026-02-26T23:24:16.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:24:16.748Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:24:16.748Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:24:16.748Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:24:16.748Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:24:16.748Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17716.451 ms) ====== [2026-02-26T23:24:16.748Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T23:24:17.394Z] GC before operation: completed in 166.425 ms, heap usage 221.562 MB -> 88.629 MB. [2026-02-26T23:24:19.605Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:24:22.519Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:24:25.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:24:27.521Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:24:28.851Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:24:30.185Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:24:32.271Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:24:33.675Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:24:33.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:24:33.675Z] The best model improves the baseline by 14.34%. [2026-02-26T23:24:34.315Z] Top recommended movies for user id 72: [2026-02-26T23:24:34.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:24:34.315Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:24:34.315Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:24:34.315Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:24:34.315Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:24:34.315Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17018.312 ms) ====== [2026-02-26T23:24:34.315Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T23:24:34.315Z] GC before operation: completed in 169.701 ms, heap usage 165.802 MB -> 88.516 MB. [2026-02-26T23:24:37.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:24:39.409Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:24:42.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:24:44.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:24:46.492Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:24:47.829Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:24:49.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:24:50.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:24:50.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:24:51.135Z] The best model improves the baseline by 14.34%. [2026-02-26T23:24:51.135Z] Top recommended movies for user id 72: [2026-02-26T23:24:51.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:24:51.135Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:24:51.135Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:24:51.135Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:24:51.135Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:24:51.135Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16696.469 ms) ====== [2026-02-26T23:24:51.135Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T23:24:51.135Z] GC before operation: completed in 152.800 ms, heap usage 139.231 MB -> 88.910 MB. [2026-02-26T23:24:54.074Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:24:56.159Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:24:59.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:25:01.204Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:25:03.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:25:04.677Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:25:06.024Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:25:07.360Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:25:08.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:25:08.004Z] The best model improves the baseline by 14.34%. [2026-02-26T23:25:08.004Z] Top recommended movies for user id 72: [2026-02-26T23:25:08.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:25:08.004Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:25:08.004Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:25:08.004Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:25:08.004Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:25:08.004Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16831.659 ms) ====== [2026-02-26T23:25:08.004Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T23:25:08.004Z] GC before operation: completed in 159.703 ms, heap usage 348.705 MB -> 89.194 MB. [2026-02-26T23:25:10.918Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:25:13.007Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:25:15.922Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:25:18.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:25:20.091Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:25:21.421Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:25:22.753Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:25:24.087Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:25:24.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:25:24.730Z] The best model improves the baseline by 14.34%. [2026-02-26T23:25:24.730Z] Top recommended movies for user id 72: [2026-02-26T23:25:24.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:25:24.730Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:25:24.730Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:25:24.730Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:25:24.730Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:25:24.730Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16619.479 ms) ====== [2026-02-26T23:25:24.730Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T23:25:24.730Z] GC before operation: completed in 145.241 ms, heap usage 161.702 MB -> 89.032 MB. [2026-02-26T23:25:27.636Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:25:29.806Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:25:32.708Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:25:35.196Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:25:36.539Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:25:37.875Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:25:39.208Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:25:40.538Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:25:41.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:25:41.181Z] The best model improves the baseline by 14.34%. [2026-02-26T23:25:41.181Z] Top recommended movies for user id 72: [2026-02-26T23:25:41.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:25:41.181Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:25:41.181Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:25:41.181Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:25:41.181Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:25:41.181Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16507.751 ms) ====== [2026-02-26T23:25:41.181Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T23:25:41.819Z] GC before operation: completed in 149.745 ms, heap usage 153.885 MB -> 93.594 MB. [2026-02-26T23:25:43.904Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:25:46.809Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:25:48.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:25:51.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:25:52.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:25:54.421Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:25:55.759Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:25:57.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:25:57.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:25:57.736Z] The best model improves the baseline by 14.34%. [2026-02-26T23:25:57.736Z] Top recommended movies for user id 72: [2026-02-26T23:25:57.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:25:57.736Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:25:57.736Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:25:57.736Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:25:57.736Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:25:57.736Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16194.679 ms) ====== [2026-02-26T23:25:57.736Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T23:25:57.736Z] GC before operation: completed in 147.358 ms, heap usage 221.821 MB -> 89.168 MB. [2026-02-26T23:26:00.639Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:26:02.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:26:05.632Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:26:07.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:26:09.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:26:11.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:26:12.462Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:26:13.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:26:14.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:26:14.438Z] The best model improves the baseline by 14.34%. [2026-02-26T23:26:14.438Z] Top recommended movies for user id 72: [2026-02-26T23:26:14.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:26:14.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:26:14.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:26:14.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:26:14.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:26:14.438Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16456.456 ms) ====== [2026-02-26T23:26:14.438Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T23:26:14.438Z] GC before operation: completed in 145.543 ms, heap usage 164.327 MB -> 88.890 MB. [2026-02-26T23:26:17.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:26:19.451Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:26:21.546Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:26:24.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:26:25.799Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:26:27.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:26:28.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:26:29.802Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:26:30.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:26:30.447Z] The best model improves the baseline by 14.34%. [2026-02-26T23:26:30.447Z] Top recommended movies for user id 72: [2026-02-26T23:26:30.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:26:30.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:26:30.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:26:30.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:26:30.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:26:30.447Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15868.213 ms) ====== [2026-02-26T23:26:30.447Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T23:26:30.447Z] GC before operation: completed in 147.360 ms, heap usage 175.504 MB -> 89.085 MB. [2026-02-26T23:26:33.356Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:26:35.440Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:26:37.524Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:26:40.435Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:26:41.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:26:43.099Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:26:44.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:26:45.765Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:26:46.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:26:46.411Z] The best model improves the baseline by 14.34%. [2026-02-26T23:26:46.411Z] Top recommended movies for user id 72: [2026-02-26T23:26:46.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:26:46.411Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:26:46.411Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:26:46.411Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:26:46.411Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:26:46.411Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15983.757 ms) ====== [2026-02-26T23:26:46.411Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T23:26:46.411Z] GC before operation: completed in 151.027 ms, heap usage 197.187 MB -> 89.220 MB. [2026-02-26T23:26:49.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:26:51.412Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:26:54.387Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:26:56.473Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:26:57.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:26:59.139Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:27:01.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:27:02.560Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:27:02.560Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:27:02.560Z] The best model improves the baseline by 14.34%. [2026-02-26T23:27:02.560Z] Top recommended movies for user id 72: [2026-02-26T23:27:02.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:27:02.560Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:27:02.560Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:27:02.560Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:27:02.560Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:27:02.560Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16161.828 ms) ====== [2026-02-26T23:27:02.560Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T23:27:03.200Z] GC before operation: completed in 146.100 ms, heap usage 175.569 MB -> 89.069 MB. [2026-02-26T23:27:05.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:27:07.375Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:27:10.285Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:27:12.368Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:27:13.713Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:27:15.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:27:17.135Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:27:17.776Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:27:18.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:27:18.419Z] The best model improves the baseline by 14.34%. [2026-02-26T23:27:18.419Z] Top recommended movies for user id 72: [2026-02-26T23:27:18.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:27:18.419Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:27:18.419Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:27:18.419Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:27:18.419Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:27:18.419Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15557.034 ms) ====== [2026-02-26T23:27:18.419Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T23:27:18.419Z] GC before operation: completed in 192.566 ms, heap usage 350.520 MB -> 89.595 MB. [2026-02-26T23:27:21.328Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:27:23.414Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:27:26.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:27:28.400Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:27:29.744Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:27:31.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:27:32.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:27:34.264Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:27:34.264Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:27:34.264Z] The best model improves the baseline by 14.34%. [2026-02-26T23:27:34.264Z] Top recommended movies for user id 72: [2026-02-26T23:27:34.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:27:34.264Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:27:34.264Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:27:34.264Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:27:34.264Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:27:34.264Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15865.118 ms) ====== [2026-02-26T23:27:34.264Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T23:27:34.906Z] GC before operation: completed in 148.584 ms, heap usage 164.344 MB -> 89.091 MB. [2026-02-26T23:27:36.988Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:27:39.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:27:41.986Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:27:44.893Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:27:46.226Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:27:47.562Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:27:48.900Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:27:50.234Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:27:50.878Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:27:50.878Z] The best model improves the baseline by 14.34%. [2026-02-26T23:27:50.878Z] Top recommended movies for user id 72: [2026-02-26T23:27:50.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:27:50.878Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:27:50.878Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:27:50.878Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:27:50.878Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:27:50.878Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16200.317 ms) ====== [2026-02-26T23:27:50.878Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T23:27:50.878Z] GC before operation: completed in 147.684 ms, heap usage 183.178 MB -> 97.028 MB. [2026-02-26T23:27:53.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:27:55.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:27:58.785Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:28:00.118Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:28:02.266Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:28:03.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:28:04.950Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:28:06.284Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:28:06.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:28:06.284Z] The best model improves the baseline by 14.34%. [2026-02-26T23:28:06.925Z] Top recommended movies for user id 72: [2026-02-26T23:28:06.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:28:06.925Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:28:06.925Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:28:06.925Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:28:06.925Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:28:06.925Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15554.109 ms) ====== [2026-02-26T23:28:06.925Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T23:28:06.925Z] GC before operation: completed in 147.112 ms, heap usage 233.533 MB -> 89.110 MB. [2026-02-26T23:28:09.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:28:11.926Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:28:14.837Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:28:16.925Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:28:19.015Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:28:20.351Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:28:21.684Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:28:23.770Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:28:23.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:28:23.770Z] The best model improves the baseline by 14.34%. [2026-02-26T23:28:23.770Z] Top recommended movies for user id 72: [2026-02-26T23:28:23.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:28:23.770Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:28:23.770Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:28:23.770Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:28:23.770Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:28:23.770Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17183.988 ms) ====== [2026-02-26T23:28:23.770Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T23:28:23.770Z] GC before operation: completed in 145.779 ms, heap usage 249.044 MB -> 89.249 MB. [2026-02-26T23:28:26.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:28:28.792Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:28:31.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:28:34.654Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:28:35.989Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:28:37.322Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:28:39.408Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:28:40.741Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:28:40.741Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T23:28:40.741Z] The best model improves the baseline by 14.34%. [2026-02-26T23:28:40.741Z] Top recommended movies for user id 72: [2026-02-26T23:28:40.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T23:28:40.741Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T23:28:40.741Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T23:28:40.741Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T23:28:40.741Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T23:28:40.741Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16953.776 ms) ====== [2026-02-26T23:28:41.386Z] ----------------------------------- [2026-02-26T23:28:41.386Z] renaissance-movie-lens_0_PASSED [2026-02-26T23:28:41.386Z] ----------------------------------- [2026-02-26T23:28:41.386Z] [2026-02-26T23:28:41.386Z] TEST TEARDOWN: [2026-02-26T23:28:41.386Z] Nothing to be done for teardown. [2026-02-26T23:28:41.386Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 23:28:41 2026 Epoch Time (ms): 1772148521120