[2026-01-21T11:09:51.693Z] Running test renaissance-movie-lens_0 ... [2026-01-21T11:09:51.693Z] =============================================== [2026-01-21T11:09:51.693Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 11:09:51 2026 Epoch Time (ms): 1768993791151 [2026-01-21T11:09:51.693Z] variation: NoOptions [2026-01-21T11:09:51.693Z] JVM_OPTIONS: [2026-01-21T11:09:51.693Z] { \ [2026-01-21T11:09:51.693Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T11:09:51.693Z] echo "Nothing to be done for setup."; \ [2026-01-21T11:09:51.693Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689926116690/renaissance-movie-lens_0"; \ [2026-01-21T11:09:51.693Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689926116690/renaissance-movie-lens_0"; \ [2026-01-21T11:09:51.693Z] echo ""; echo "TESTING:"; \ [2026-01-21T11:09:51.693Z] "/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_17689926116690/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T11:09:51.693Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689926116690/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T11:09:51.693Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T11:09:51.693Z] echo "Nothing to be done for teardown."; \ [2026-01-21T11:09:51.693Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689926116690/TestTargetResult"; [2026-01-21T11:09:51.693Z] [2026-01-21T11:09:51.693Z] TEST SETUP: [2026-01-21T11:09:51.693Z] Nothing to be done for setup. [2026-01-21T11:09:51.693Z] [2026-01-21T11:09:51.693Z] TESTING: [2026-01-21T11:09:51.693Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-21T11:09:51.693Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17689926116690/renaissance-movie-lens_0/launcher-110951-13842329530749675995/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-21T11:09:51.693Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-21T11:09:51.693Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-21T11:09:59.074Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T11:10:06.639Z] 11:10:05.670 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. [2026-01-21T11:10:09.693Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T11:10:10.031Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T11:10:10.032Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T11:10:10.375Z] GC before operation: completed in 202.981 ms, heap usage 304.499 MB -> 75.526 MB. [2026-01-21T11:10:19.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:10:24.281Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:10:28.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:10:31.171Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:10:33.489Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:10:35.849Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:10:37.549Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:10:39.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:10:39.603Z] 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. [2026-01-21T11:10:39.603Z] The best model improves the baseline by 14.34%. [2026-01-21T11:10:39.943Z] Top recommended movies for user id 72: [2026-01-21T11:10:39.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:10:39.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:10:39.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:10:39.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:10:39.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:10:39.943Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29736.622 ms) ====== [2026-01-21T11:10:39.943Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T11:10:40.287Z] GC before operation: completed in 180.017 ms, heap usage 405.555 MB -> 91.283 MB. [2026-01-21T11:10:43.315Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:10:47.182Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:10:50.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:10:52.520Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:10:54.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:10:55.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:10:58.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:11:00.009Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:11:00.360Z] 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. [2026-01-21T11:11:00.360Z] The best model improves the baseline by 14.34%. [2026-01-21T11:11:00.702Z] Top recommended movies for user id 72: [2026-01-21T11:11:00.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:11:00.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:11:00.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:11:00.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:11:00.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:11:00.702Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20492.871 ms) ====== [2026-01-21T11:11:00.702Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T11:11:00.702Z] GC before operation: completed in 156.493 ms, heap usage 252.482 MB -> 87.563 MB. [2026-01-21T11:11:03.727Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:11:06.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:11:09.820Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:11:12.857Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:11:14.562Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:11:16.264Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:11:17.965Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:11:19.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:11:20.001Z] 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. [2026-01-21T11:11:20.001Z] The best model improves the baseline by 14.34%. [2026-01-21T11:11:20.001Z] Top recommended movies for user id 72: [2026-01-21T11:11:20.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:11:20.001Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:11:20.001Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:11:20.001Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:11:20.001Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:11:20.001Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19347.669 ms) ====== [2026-01-21T11:11:20.001Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T11:11:20.342Z] GC before operation: completed in 171.016 ms, heap usage 513.031 MB -> 91.832 MB. [2026-01-21T11:11:23.451Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:11:25.760Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:11:28.063Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:11:30.380Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:11:32.077Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:11:33.778Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:11:35.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:11:36.709Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:11:37.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:11:37.050Z] The best model improves the baseline by 14.34%. [2026-01-21T11:11:37.403Z] Top recommended movies for user id 72: [2026-01-21T11:11:37.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:11:37.403Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:11:37.403Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:11:37.403Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:11:37.403Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:11:37.403Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16905.748 ms) ====== [2026-01-21T11:11:37.403Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T11:11:37.403Z] GC before operation: completed in 178.397 ms, heap usage 365.351 MB -> 88.780 MB. [2026-01-21T11:11:40.418Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:11:42.734Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:11:45.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:11:48.159Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:11:49.336Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:11:51.037Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:11:52.213Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:11:53.928Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:11:54.264Z] 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. [2026-01-21T11:11:54.264Z] The best model improves the baseline by 14.34%. [2026-01-21T11:11:54.605Z] Top recommended movies for user id 72: [2026-01-21T11:11:54.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:11:54.605Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:11:54.605Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:11:54.605Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:11:54.605Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:11:54.605Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17115.169 ms) ====== [2026-01-21T11:11:54.605Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T11:11:54.605Z] GC before operation: completed in 176.513 ms, heap usage 454.009 MB -> 92.038 MB. [2026-01-21T11:11:57.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:12:00.674Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:12:03.691Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:12:06.004Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:12:07.735Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:12:09.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:12:11.146Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:12:12.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:12:13.187Z] 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. [2026-01-21T11:12:13.187Z] The best model improves the baseline by 14.34%. [2026-01-21T11:12:13.187Z] Top recommended movies for user id 72: [2026-01-21T11:12:13.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:12:13.187Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:12:13.187Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:12:13.187Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:12:13.187Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:12:13.187Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18508.267 ms) ====== [2026-01-21T11:12:13.187Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T11:12:13.532Z] GC before operation: completed in 162.518 ms, heap usage 134.716 MB -> 88.576 MB. [2026-01-21T11:12:16.551Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:12:18.861Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:12:21.883Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:12:24.924Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:12:26.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:12:28.442Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:12:30.840Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:12:32.042Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:12:32.380Z] 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. [2026-01-21T11:12:32.381Z] The best model improves the baseline by 14.34%. [2026-01-21T11:12:32.726Z] Top recommended movies for user id 72: [2026-01-21T11:12:32.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:12:32.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:12:32.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:12:32.726Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:12:32.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:12:32.726Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19258.075 ms) ====== [2026-01-21T11:12:32.726Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T11:12:32.726Z] GC before operation: completed in 162.395 ms, heap usage 457.851 MB -> 92.349 MB. [2026-01-21T11:12:35.780Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:12:38.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:12:41.126Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:12:42.844Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:12:44.543Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:12:46.232Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:12:47.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:12:49.118Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:12:49.118Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:12:49.118Z] The best model improves the baseline by 14.34%. [2026-01-21T11:12:49.467Z] Top recommended movies for user id 72: [2026-01-21T11:12:49.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:12:49.467Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:12:49.467Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:12:49.467Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:12:49.467Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:12:49.467Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16511.380 ms) ====== [2026-01-21T11:12:49.467Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T11:12:49.467Z] GC before operation: completed in 160.638 ms, heap usage 315.634 MB -> 89.104 MB. [2026-01-21T11:12:52.596Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:12:54.900Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:12:57.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:12:59.513Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:13:00.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:13:02.396Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:13:04.110Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:13:05.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:13:05.290Z] 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. [2026-01-21T11:13:05.627Z] The best model improves the baseline by 14.34%. [2026-01-21T11:13:05.627Z] Top recommended movies for user id 72: [2026-01-21T11:13:05.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:13:05.627Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:13:05.627Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:13:05.627Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:13:05.627Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:13:05.627Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16257.416 ms) ====== [2026-01-21T11:13:05.627Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T11:13:05.969Z] GC before operation: completed in 167.221 ms, heap usage 219.955 MB -> 88.804 MB. [2026-01-21T11:13:08.284Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:13:10.594Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:13:12.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:13:15.305Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:13:16.487Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:13:18.189Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:13:19.367Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:13:21.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:13:21.068Z] 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. [2026-01-21T11:13:21.068Z] The best model improves the baseline by 14.34%. [2026-01-21T11:13:21.409Z] Top recommended movies for user id 72: [2026-01-21T11:13:21.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:13:21.409Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:13:21.409Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:13:21.409Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:13:21.409Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:13:21.409Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15409.902 ms) ====== [2026-01-21T11:13:21.409Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T11:13:21.409Z] GC before operation: completed in 174.545 ms, heap usage 662.760 MB -> 93.035 MB. [2026-01-21T11:13:23.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:13:26.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:13:29.060Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:13:30.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:13:32.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:13:33.636Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:13:35.331Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:13:36.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:13:36.933Z] 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. [2026-01-21T11:13:36.933Z] The best model improves the baseline by 14.34%. [2026-01-21T11:13:36.933Z] Top recommended movies for user id 72: [2026-01-21T11:13:36.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:13:36.933Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:13:36.933Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:13:36.933Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:13:36.933Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:13:36.933Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15550.249 ms) ====== [2026-01-21T11:13:36.933Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T11:13:37.272Z] GC before operation: completed in 161.238 ms, heap usage 150.593 MB -> 88.693 MB. [2026-01-21T11:13:39.570Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:13:41.905Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:13:44.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:13:46.513Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:13:48.218Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:13:49.400Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:13:51.098Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:13:52.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:13:52.308Z] 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. [2026-01-21T11:13:52.308Z] The best model improves the baseline by 14.34%. [2026-01-21T11:13:52.661Z] Top recommended movies for user id 72: [2026-01-21T11:13:52.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:13:52.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:13:52.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:13:52.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:13:52.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:13:52.661Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15354.828 ms) ====== [2026-01-21T11:13:52.661Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T11:13:52.661Z] GC before operation: completed in 160.172 ms, heap usage 423.660 MB -> 89.380 MB. [2026-01-21T11:13:54.986Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:13:57.289Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:13:59.693Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:14:01.996Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:14:03.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:14:04.867Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:14:06.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:14:07.755Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:14:08.094Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:14:08.094Z] The best model improves the baseline by 14.34%. [2026-01-21T11:14:08.094Z] Top recommended movies for user id 72: [2026-01-21T11:14:08.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:14:08.094Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:14:08.094Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:14:08.094Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:14:08.094Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:14:08.094Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15491.436 ms) ====== [2026-01-21T11:14:08.094Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T11:14:08.435Z] GC before operation: completed in 164.955 ms, heap usage 406.851 MB -> 89.440 MB. [2026-01-21T11:14:11.475Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:14:13.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:14:16.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:14:17.879Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:14:19.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:14:20.760Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:14:22.551Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:14:23.729Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:14:23.729Z] 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. [2026-01-21T11:14:23.729Z] The best model improves the baseline by 14.34%. [2026-01-21T11:14:24.080Z] Top recommended movies for user id 72: [2026-01-21T11:14:24.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:14:24.080Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:14:24.080Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:14:24.080Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:14:24.080Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:14:24.080Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15638.804 ms) ====== [2026-01-21T11:14:24.080Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T11:14:24.080Z] GC before operation: completed in 164.330 ms, heap usage 656.808 MB -> 92.943 MB. [2026-01-21T11:14:26.387Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:14:28.688Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:14:31.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:14:33.456Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:14:34.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:14:36.364Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:14:37.542Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:14:38.732Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:14:39.076Z] 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. [2026-01-21T11:14:39.076Z] The best model improves the baseline by 14.34%. [2026-01-21T11:14:39.076Z] Top recommended movies for user id 72: [2026-01-21T11:14:39.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:14:39.076Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:14:39.076Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:14:39.076Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:14:39.076Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:14:39.076Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15043.197 ms) ====== [2026-01-21T11:14:39.076Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T11:14:39.419Z] GC before operation: completed in 163.550 ms, heap usage 450.544 MB -> 89.528 MB. [2026-01-21T11:14:41.736Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:14:44.149Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:14:46.478Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:14:48.785Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:14:49.995Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:14:51.172Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:14:52.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:14:54.055Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:14:54.392Z] 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. [2026-01-21T11:14:54.392Z] The best model improves the baseline by 14.34%. [2026-01-21T11:14:54.392Z] Top recommended movies for user id 72: [2026-01-21T11:14:54.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:14:54.392Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:14:54.392Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:14:54.392Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:14:54.392Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:14:54.392Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14997.761 ms) ====== [2026-01-21T11:14:54.392Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T11:14:54.392Z] GC before operation: completed in 160.081 ms, heap usage 317.175 MB -> 89.222 MB. [2026-01-21T11:14:56.699Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:14:59.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:15:02.030Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:15:03.734Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:15:04.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:15:06.761Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:15:07.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:15:09.179Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:15:09.536Z] 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. [2026-01-21T11:15:09.536Z] The best model improves the baseline by 14.34%. [2026-01-21T11:15:09.536Z] Top recommended movies for user id 72: [2026-01-21T11:15:09.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:15:09.536Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:15:09.536Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:15:09.536Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:15:09.536Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:15:09.536Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15101.790 ms) ====== [2026-01-21T11:15:09.536Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T11:15:09.888Z] GC before operation: completed in 160.936 ms, heap usage 169.779 MB -> 89.027 MB. [2026-01-21T11:15:12.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:15:14.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:15:16.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:15:18.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:15:20.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:15:21.504Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:15:23.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:15:24.435Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:15:24.435Z] 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. [2026-01-21T11:15:24.435Z] The best model improves the baseline by 14.34%. [2026-01-21T11:15:24.800Z] Top recommended movies for user id 72: [2026-01-21T11:15:24.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:15:24.800Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:15:24.800Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:15:24.800Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:15:24.800Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:15:24.800Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14879.050 ms) ====== [2026-01-21T11:15:24.800Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T11:15:24.800Z] GC before operation: completed in 160.500 ms, heap usage 220.802 MB -> 88.961 MB. [2026-01-21T11:15:27.144Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:15:29.581Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:15:31.899Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:15:34.206Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:15:35.384Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:15:36.558Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:15:38.256Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:15:39.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:15:39.790Z] 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. [2026-01-21T11:15:39.790Z] The best model improves the baseline by 14.34%. [2026-01-21T11:15:39.790Z] Top recommended movies for user id 72: [2026-01-21T11:15:39.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:15:39.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:15:39.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:15:39.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:15:39.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:15:39.790Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14955.728 ms) ====== [2026-01-21T11:15:39.790Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T11:15:39.790Z] GC before operation: completed in 162.250 ms, heap usage 214.846 MB -> 89.060 MB. [2026-01-21T11:15:42.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:15:44.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:15:46.745Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:15:49.052Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:15:50.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:15:51.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:15:53.206Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:15:54.387Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:15:54.737Z] 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. [2026-01-21T11:15:54.737Z] The best model improves the baseline by 14.34%. [2026-01-21T11:15:54.737Z] Top recommended movies for user id 72: [2026-01-21T11:15:54.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:15:54.737Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:15:54.737Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:15:54.737Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:15:54.737Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:15:54.737Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14803.798 ms) ====== [2026-01-21T11:15:55.078Z] ----------------------------------- [2026-01-21T11:15:55.078Z] renaissance-movie-lens_0_PASSED [2026-01-21T11:15:55.078Z] ----------------------------------- [2026-01-21T11:15:55.078Z] [2026-01-21T11:15:55.078Z] TEST TEARDOWN: [2026-01-21T11:15:55.078Z] Nothing to be done for teardown. [2026-01-21T11:15:55.078Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 11:15:54 2026 Epoch Time (ms): 1768994154975