[2026-03-06T02:51:05.335Z] Running test renaissance-movie-lens_0 ... [2026-03-06T02:51:05.335Z] =============================================== [2026-03-06T02:51:05.335Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 21:51:05 2026 Epoch Time (ms): 1772765465019 [2026-03-06T02:51:05.335Z] variation: NoOptions [2026-03-06T02:51:05.335Z] JVM_OPTIONS: [2026-03-06T02:51:05.335Z] { \ [2026-03-06T02:51:05.335Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T02:51:05.335Z] echo "Nothing to be done for setup."; \ [2026-03-06T02:51:05.335Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727642067880/renaissance-movie-lens_0"; \ [2026-03-06T02:51:05.335Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727642067880/renaissance-movie-lens_0"; \ [2026-03-06T02:51:05.335Z] echo ""; echo "TESTING:"; \ [2026-03-06T02:51:05.336Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727642067880/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T02:51:05.336Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727642067880/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T02:51:05.336Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T02:51:05.336Z] echo "Nothing to be done for teardown."; \ [2026-03-06T02:51:05.336Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727642067880/TestTargetResult"; [2026-03-06T02:51:05.336Z] [2026-03-06T02:51:05.336Z] TEST SETUP: [2026-03-06T02:51:05.336Z] Nothing to be done for setup. [2026-03-06T02:51:05.336Z] [2026-03-06T02:51:05.336Z] TESTING: [2026-03-06T02:51:06.026Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T02:51:06.026Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17727642067880/renaissance-movie-lens_0/launcher-215105-5897399756683695914/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T02:51:06.026Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T02:51:06.026Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T02:51:11.086Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-06T02:51:17.922Z] 21:51:17.500 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. [2026-03-06T02:51:21.084Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T02:51:21.776Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T02:51:21.776Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T02:51:21.776Z] GC before operation: completed in 192.856 ms, heap usage 249.562 MB -> 75.587 MB. [2026-03-06T02:51:29.506Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:51:35.819Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:51:39.725Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:51:43.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:51:46.756Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:51:48.956Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:51:51.143Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:51:53.300Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:51:53.966Z] 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. [2026-03-06T02:51:53.966Z] The best model improves the baseline by 14.34%. [2026-03-06T02:51:53.966Z] Top recommended movies for user id 72: [2026-03-06T02:51:53.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:51:53.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:51:53.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:51:53.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:51:53.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:51:53.966Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31966.610 ms) ====== [2026-03-06T02:51:53.966Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T02:51:53.966Z] GC before operation: completed in 194.329 ms, heap usage 268.051 MB -> 89.088 MB. [2026-03-06T02:51:57.835Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:52:01.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:52:05.651Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:52:08.675Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:52:10.835Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:52:12.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:52:15.048Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:52:16.409Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:52:17.067Z] 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. [2026-03-06T02:52:17.067Z] The best model improves the baseline by 14.34%. [2026-03-06T02:52:17.067Z] Top recommended movies for user id 72: [2026-03-06T02:52:17.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:52:17.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:52:17.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:52:17.067Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:52:17.067Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:52:17.067Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23060.666 ms) ====== [2026-03-06T02:52:17.067Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T02:52:17.722Z] GC before operation: completed in 230.240 ms, heap usage 251.178 MB -> 87.853 MB. [2026-03-06T02:52:20.687Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:52:23.765Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:52:27.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:52:30.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:52:31.847Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:52:33.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:52:36.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:52:37.417Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:52:38.070Z] 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. [2026-03-06T02:52:38.070Z] The best model improves the baseline by 14.34%. [2026-03-06T02:52:38.070Z] Top recommended movies for user id 72: [2026-03-06T02:52:38.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:52:38.070Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:52:38.070Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:52:38.070Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:52:38.070Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:52:38.070Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20707.350 ms) ====== [2026-03-06T02:52:38.070Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T02:52:38.070Z] GC before operation: completed in 180.324 ms, heap usage 437.708 MB -> 91.836 MB. [2026-03-06T02:52:41.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:52:44.768Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:52:47.679Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:52:50.565Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:52:52.641Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:52:54.738Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:52:56.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:52:58.213Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:52:58.213Z] 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. [2026-03-06T02:52:58.213Z] The best model improves the baseline by 14.34%. [2026-03-06T02:52:58.900Z] Top recommended movies for user id 72: [2026-03-06T02:52:58.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:52:58.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:52:58.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:52:58.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:52:58.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:52:58.900Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20260.323 ms) ====== [2026-03-06T02:52:58.900Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T02:52:58.900Z] GC before operation: completed in 188.637 ms, heap usage 172.721 MB -> 88.664 MB. [2026-03-06T02:53:01.023Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:04.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:53:07.303Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:53:09.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:53:11.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:53:12.900Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:53:14.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:53:15.588Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:53:16.224Z] 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. [2026-03-06T02:53:16.224Z] The best model improves the baseline by 14.34%. [2026-03-06T02:53:16.224Z] Top recommended movies for user id 72: [2026-03-06T02:53:16.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:53:16.224Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:53:16.224Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:53:16.224Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:53:16.224Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:53:16.224Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17485.395 ms) ====== [2026-03-06T02:53:16.224Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T02:53:16.224Z] GC before operation: completed in 171.366 ms, heap usage 234.053 MB -> 88.700 MB. [2026-03-06T02:53:19.160Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:22.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:53:25.149Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:53:28.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:53:29.419Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:53:30.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:53:32.987Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:53:34.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:53:34.320Z] 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. [2026-03-06T02:53:34.320Z] The best model improves the baseline by 14.34%. [2026-03-06T02:53:38.084Z] Top recommended movies for user id 72: [2026-03-06T02:53:38.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:53:38.085Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:53:38.085Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:53:38.085Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:53:38.085Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:53:38.085Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18310.232 ms) ====== [2026-03-06T02:53:38.085Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T02:53:38.085Z] GC before operation: completed in 168.240 ms, heap usage 382.544 MB -> 89.191 MB. [2026-03-06T02:53:38.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:40.260Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:53:44.297Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:53:46.362Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:53:48.423Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:53:49.792Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:53:51.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:53:53.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:53:53.819Z] 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. [2026-03-06T02:53:53.819Z] The best model improves the baseline by 14.34%. [2026-03-06T02:53:53.819Z] Top recommended movies for user id 72: [2026-03-06T02:53:53.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:53:53.819Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:53:53.819Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:53:53.819Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:53:53.819Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:53:53.820Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18942.441 ms) ====== [2026-03-06T02:53:53.820Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T02:53:53.820Z] GC before operation: completed in 179.733 ms, heap usage 198.130 MB -> 88.813 MB. [2026-03-06T02:53:57.153Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:59.269Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:02.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:05.069Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:54:06.397Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:54:07.787Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:54:09.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:54:11.198Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:54:11.198Z] 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. [2026-03-06T02:54:11.198Z] The best model improves the baseline by 14.34%. [2026-03-06T02:54:11.198Z] Top recommended movies for user id 72: [2026-03-06T02:54:11.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:54:11.198Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:54:11.198Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:54:11.198Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:54:11.198Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:54:11.198Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17381.987 ms) ====== [2026-03-06T02:54:11.198Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T02:54:11.838Z] GC before operation: completed in 170.725 ms, heap usage 205.248 MB -> 89.192 MB. [2026-03-06T02:54:14.700Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:54:17.608Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:20.506Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:22.590Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:54:24.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:54:26.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:54:28.098Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:54:29.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:54:30.070Z] 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. [2026-03-06T02:54:30.070Z] The best model improves the baseline by 14.34%. [2026-03-06T02:54:30.070Z] Top recommended movies for user id 72: [2026-03-06T02:54:30.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:54:30.070Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:54:30.070Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:54:30.070Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:54:30.070Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:54:30.070Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18631.627 ms) ====== [2026-03-06T02:54:30.070Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T02:54:30.715Z] GC before operation: completed in 197.938 ms, heap usage 199.421 MB -> 89.001 MB. [2026-03-06T02:54:32.852Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:54:35.814Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:38.739Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:40.839Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:54:42.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:54:44.302Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:54:45.627Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:54:46.967Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:54:48.008Z] 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. [2026-03-06T02:54:48.008Z] The best model improves the baseline by 14.34%. [2026-03-06T02:54:48.008Z] Top recommended movies for user id 72: [2026-03-06T02:54:48.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:54:48.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:54:48.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:54:48.008Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:54:48.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:54:48.008Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17261.387 ms) ====== [2026-03-06T02:54:48.008Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T02:54:48.008Z] GC before operation: completed in 163.816 ms, heap usage 224.869 MB -> 92.213 MB. [2026-03-06T02:54:51.007Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:54:53.119Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:56.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:59.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:55:00.518Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:55:02.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:55:04.050Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:55:08.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:55:08.977Z] 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. [2026-03-06T02:55:08.977Z] The best model improves the baseline by 14.34%. [2026-03-06T02:55:08.977Z] Top recommended movies for user id 72: [2026-03-06T02:55:08.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:55:08.977Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:55:08.977Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:55:08.977Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:55:08.977Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:55:08.977Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18114.410 ms) ====== [2026-03-06T02:55:08.977Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T02:55:08.977Z] GC before operation: completed in 150.771 ms, heap usage 219.809 MB -> 88.959 MB. [2026-03-06T02:55:08.977Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:55:12.802Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:55:14.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:55:16.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:55:18.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:55:19.659Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:55:21.726Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:55:23.043Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:55:23.043Z] 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. [2026-03-06T02:55:23.043Z] The best model improves the baseline by 14.34%. [2026-03-06T02:55:23.043Z] Top recommended movies for user id 72: [2026-03-06T02:55:23.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:55:23.693Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:55:23.693Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:55:23.693Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:55:23.693Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:55:23.693Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17252.665 ms) ====== [2026-03-06T02:55:23.693Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T02:55:23.693Z] GC before operation: completed in 170.152 ms, heap usage 253.340 MB -> 89.253 MB. [2026-03-06T02:55:26.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:55:28.765Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:55:32.218Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:55:38.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:55:38.100Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:55:38.100Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:55:46.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:55:46.040Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:55:46.040Z] 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. [2026-03-06T02:55:46.040Z] The best model improves the baseline by 14.34%. [2026-03-06T02:55:46.040Z] Top recommended movies for user id 72: [2026-03-06T02:55:46.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:55:46.041Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:55:46.041Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:55:46.041Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:55:46.041Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:55:46.041Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18559.750 ms) ====== [2026-03-06T02:55:46.041Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T02:55:46.041Z] GC before operation: completed in 173.074 ms, heap usage 226.848 MB -> 89.395 MB. [2026-03-06T02:55:46.041Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:55:56.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:55:56.270Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:56:07.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:56:07.076Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:56:07.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:56:07.076Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:56:07.076Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:56:07.076Z] 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. [2026-03-06T02:56:07.076Z] The best model improves the baseline by 14.34%. [2026-03-06T02:56:07.076Z] Top recommended movies for user id 72: [2026-03-06T02:56:07.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:56:07.076Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:56:07.076Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:56:07.076Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:56:07.076Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:56:07.076Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20346.589 ms) ====== [2026-03-06T02:56:07.076Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T02:56:07.076Z] GC before operation: completed in 341.876 ms, heap usage 198.273 MB -> 89.064 MB. [2026-03-06T02:56:12.233Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:56:12.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:56:12.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:56:22.062Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:56:22.062Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:56:22.062Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:56:22.062Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:56:29.408Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:56:29.408Z] 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. [2026-03-06T02:56:29.408Z] The best model improves the baseline by 14.34%. [2026-03-06T02:56:29.408Z] Top recommended movies for user id 72: [2026-03-06T02:56:31.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:56:31.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:56:31.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:56:31.793Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:56:31.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:56:31.793Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19506.553 ms) ====== [2026-03-06T02:56:31.793Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T02:56:31.793Z] GC before operation: completed in 152.117 ms, heap usage 211.216 MB -> 89.337 MB. [2026-03-06T02:56:31.793Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:56:31.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:56:39.901Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:56:39.901Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:56:39.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:56:39.901Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:56:39.901Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:56:41.452Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:56:42.137Z] 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. [2026-03-06T02:56:42.137Z] The best model improves the baseline by 14.34%. [2026-03-06T02:56:42.137Z] Top recommended movies for user id 72: [2026-03-06T02:56:42.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:56:42.137Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:56:42.137Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:56:42.137Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:56:42.137Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:56:42.137Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19410.987 ms) ====== [2026-03-06T02:56:42.137Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T02:56:42.137Z] GC before operation: completed in 177.335 ms, heap usage 168.634 MB -> 89.217 MB. [2026-03-06T02:56:45.613Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:56:49.525Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:56:53.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:56:56.039Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:56:57.417Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:56:58.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:57:00.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:57:02.981Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:57:02.981Z] 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. [2026-03-06T02:57:02.981Z] The best model improves the baseline by 14.34%. [2026-03-06T02:57:03.693Z] Top recommended movies for user id 72: [2026-03-06T02:57:03.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:57:03.693Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:57:03.693Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:57:03.693Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:57:03.693Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:57:03.693Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21176.292 ms) ====== [2026-03-06T02:57:03.693Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T02:57:03.693Z] GC before operation: completed in 187.874 ms, heap usage 130.832 MB -> 91.786 MB. [2026-03-06T02:57:09.071Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:57:17.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:57:17.101Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:57:17.101Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:57:23.395Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:57:23.395Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:57:23.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:57:23.395Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:57:24.077Z] 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. [2026-03-06T02:57:24.077Z] The best model improves the baseline by 14.34%. [2026-03-06T02:57:24.077Z] Top recommended movies for user id 72: [2026-03-06T02:57:24.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:57:24.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:57:24.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:57:24.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:57:24.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:57:24.077Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20494.705 ms) ====== [2026-03-06T02:57:24.077Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T02:57:24.077Z] GC before operation: completed in 172.499 ms, heap usage 107.047 MB -> 92.863 MB. [2026-03-06T02:57:26.987Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:57:30.152Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:57:33.172Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:57:36.198Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:57:37.560Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:57:39.640Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:57:40.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:57:43.084Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:57:43.084Z] 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. [2026-03-06T02:57:43.084Z] The best model improves the baseline by 14.34%. [2026-03-06T02:57:43.084Z] Top recommended movies for user id 72: [2026-03-06T02:57:43.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:57:43.084Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:57:43.084Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:57:43.084Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:57:43.084Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:57:43.084Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18909.538 ms) ====== [2026-03-06T02:57:43.084Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T02:57:43.084Z] GC before operation: completed in 190.920 ms, heap usage 210.272 MB -> 89.222 MB. [2026-03-06T02:57:46.118Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:57:49.089Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:57:52.028Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:57:55.118Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:57:56.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:57:57.602Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:57:59.798Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:58:01.146Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:58:01.146Z] 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. [2026-03-06T02:58:01.146Z] The best model improves the baseline by 14.34%. [2026-03-06T02:58:01.763Z] Top recommended movies for user id 72: [2026-03-06T02:58:01.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T02:58:01.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T02:58:01.763Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T02:58:01.763Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T02:58:01.763Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T02:58:01.763Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18198.800 ms) ====== [2026-03-06T02:58:01.763Z] ----------------------------------- [2026-03-06T02:58:01.763Z] renaissance-movie-lens_0_PASSED [2026-03-06T02:58:01.763Z] ----------------------------------- [2026-03-06T02:58:01.763Z] [2026-03-06T02:58:01.763Z] TEST TEARDOWN: [2026-03-06T02:58:01.763Z] Nothing to be done for teardown. [2026-03-06T02:58:01.763Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 21:58:01 2026 Epoch Time (ms): 1772765881570