[2026-01-03T14:02:48.926Z] Running test renaissance-movie-lens_0 ... [2026-01-03T14:02:48.926Z] =============================================== [2026-01-03T14:02:48.926Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 09:02:48 2026 Epoch Time (ms): 1767448968254 [2026-01-03T14:02:48.926Z] variation: NoOptions [2026-01-03T14:02:48.926Z] JVM_OPTIONS: [2026-01-03T14:02:48.926Z] { \ [2026-01-03T14:02:48.926Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T14:02:48.926Z] echo "Nothing to be done for setup."; \ [2026-01-03T14:02:48.926Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1767447213975/renaissance-movie-lens_0"; \ [2026-01-03T14:02:48.926Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1767447213975/renaissance-movie-lens_0"; \ [2026-01-03T14:02:48.926Z] echo ""; echo "TESTING:"; \ [2026-01-03T14:02:48.926Z] "/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_1767447213975/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T14:02:48.926Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1767447213975/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T14:02:48.926Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T14:02:48.926Z] echo "Nothing to be done for teardown."; \ [2026-01-03T14:02:48.926Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1767447213975/TestTargetResult"; [2026-01-03T14:02:48.926Z] [2026-01-03T14:02:48.926Z] TEST SETUP: [2026-01-03T14:02:48.926Z] Nothing to be done for setup. [2026-01-03T14:02:48.926Z] [2026-01-03T14:02:48.926Z] TESTING: [2026-01-03T14:02:48.926Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T14:02:48.926Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_1767447213975/renaissance-movie-lens_0/launcher-090248-334746593847509527/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T14:02:48.926Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T14:02:48.926Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T14:02:52.719Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-03T14:02:57.600Z] 09:02:56.638 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. [2026-01-03T14:02:59.006Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T14:02:59.680Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T14:02:59.680Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T14:02:59.680Z] GC before operation: completed in 126.059 ms, heap usage 170.763 MB -> 75.477 MB. [2026-01-03T14:03:05.720Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:03:08.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:03:11.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:03:14.460Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:03:15.790Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:03:17.836Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:03:19.156Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:03:20.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:03:21.143Z] 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. [2026-01-03T14:03:21.143Z] The best model improves the baseline by 14.34%. [2026-01-03T14:03:21.143Z] Top recommended movies for user id 72: [2026-01-03T14:03:21.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:03:21.143Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:03:21.143Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:03:21.143Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:03:21.143Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:03:21.143Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21403.492 ms) ====== [2026-01-03T14:03:21.143Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T14:03:21.143Z] GC before operation: completed in 201.045 ms, heap usage 159.547 MB -> 97.683 MB. [2026-01-03T14:03:24.106Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:03:26.170Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:03:28.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:03:30.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:03:31.712Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:03:33.037Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:03:34.357Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:03:35.156Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:03:35.797Z] 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. [2026-01-03T14:03:35.797Z] The best model improves the baseline by 14.34%. [2026-01-03T14:03:35.797Z] Top recommended movies for user id 72: [2026-01-03T14:03:35.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:03:35.797Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:03:35.797Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:03:35.797Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:03:35.797Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:03:35.797Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14410.085 ms) ====== [2026-01-03T14:03:35.797Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T14:03:35.797Z] GC before operation: completed in 169.449 ms, heap usage 241.603 MB -> 87.660 MB. [2026-01-03T14:03:38.790Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:03:40.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:03:42.962Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:03:45.014Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:03:46.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:03:47.667Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:03:48.980Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:03:50.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:03:50.320Z] 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. [2026-01-03T14:03:50.320Z] The best model improves the baseline by 14.34%. [2026-01-03T14:03:50.320Z] Top recommended movies for user id 72: [2026-01-03T14:03:50.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:03:50.320Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:03:50.320Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:03:50.320Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:03:50.320Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:03:50.320Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14415.896 ms) ====== [2026-01-03T14:03:50.320Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T14:03:50.320Z] GC before operation: completed in 153.590 ms, heap usage 226.664 MB -> 88.433 MB. [2026-01-03T14:03:52.405Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:03:54.479Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:03:57.381Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:03:58.703Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:04:00.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:04:01.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:04:03.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:04:04.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:04:04.747Z] 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. [2026-01-03T14:04:04.747Z] The best model improves the baseline by 14.34%. [2026-01-03T14:04:04.747Z] Top recommended movies for user id 72: [2026-01-03T14:04:04.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:04:04.747Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:04:04.747Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:04:04.747Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:04:04.747Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:04:04.747Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14131.771 ms) ====== [2026-01-03T14:04:04.747Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T14:04:04.747Z] GC before operation: completed in 127.732 ms, heap usage 211.899 MB -> 88.652 MB. [2026-01-03T14:04:06.844Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:04:08.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:04:11.784Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:04:13.121Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:04:14.461Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:04:15.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:04:16.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:04:18.139Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:04:18.790Z] 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. [2026-01-03T14:04:18.790Z] The best model improves the baseline by 14.34%. [2026-01-03T14:04:18.790Z] Top recommended movies for user id 72: [2026-01-03T14:04:18.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:04:18.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:04:18.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:04:18.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:04:18.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:04:18.790Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13796.668 ms) ====== [2026-01-03T14:04:18.790Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T14:04:18.790Z] GC before operation: completed in 126.651 ms, heap usage 331.631 MB -> 88.785 MB. [2026-01-03T14:04:20.910Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:04:22.997Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:04:25.884Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:04:27.218Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:04:29.326Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:04:30.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:04:31.981Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:04:33.281Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:04:33.281Z] 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. [2026-01-03T14:04:33.920Z] The best model improves the baseline by 14.34%. [2026-01-03T14:04:33.920Z] Top recommended movies for user id 72: [2026-01-03T14:04:33.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:04:33.920Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:04:33.920Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:04:33.920Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:04:33.920Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:04:33.920Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15031.877 ms) ====== [2026-01-03T14:04:33.920Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T14:04:33.920Z] GC before operation: completed in 153.850 ms, heap usage 311.625 MB -> 89.079 MB. [2026-01-03T14:04:36.802Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:04:38.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:04:41.774Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:04:43.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:04:45.128Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:04:46.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:04:47.756Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:04:49.101Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:04:49.732Z] 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. [2026-01-03T14:04:49.732Z] The best model improves the baseline by 14.34%. [2026-01-03T14:04:49.732Z] Top recommended movies for user id 72: [2026-01-03T14:04:49.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:04:49.732Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:04:49.732Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:04:49.732Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:04:49.732Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:04:49.732Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15720.991 ms) ====== [2026-01-03T14:04:49.732Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T14:04:49.732Z] GC before operation: completed in 130.501 ms, heap usage 209.416 MB -> 88.870 MB. [2026-01-03T14:04:51.769Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:04:53.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:04:56.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:04:58.070Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:04:59.421Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:05:00.740Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:05:02.060Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:05:02.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:05:03.330Z] 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. [2026-01-03T14:05:03.330Z] The best model improves the baseline by 14.34%. [2026-01-03T14:05:03.330Z] Top recommended movies for user id 72: [2026-01-03T14:05:03.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:05:03.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:05:03.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:05:03.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:05:03.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:05:03.331Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13594.319 ms) ====== [2026-01-03T14:05:03.331Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T14:05:03.331Z] GC before operation: completed in 133.608 ms, heap usage 145.164 MB -> 88.975 MB. [2026-01-03T14:05:05.391Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:05:08.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:05:10.433Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:05:11.807Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:05:13.136Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:05:14.492Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:05:16.541Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:05:17.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:05:17.900Z] 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. [2026-01-03T14:05:17.900Z] The best model improves the baseline by 14.34%. [2026-01-03T14:05:17.900Z] Top recommended movies for user id 72: [2026-01-03T14:05:17.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:05:17.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:05:17.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:05:17.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:05:17.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:05:17.900Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14564.647 ms) ====== [2026-01-03T14:05:17.900Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T14:05:17.900Z] GC before operation: completed in 127.197 ms, heap usage 222.816 MB -> 89.050 MB. [2026-01-03T14:05:20.818Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:05:22.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:05:24.978Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:05:27.067Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:05:29.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:05:29.830Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:05:31.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:05:32.946Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:05:32.946Z] 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. [2026-01-03T14:05:32.946Z] The best model improves the baseline by 14.34%. [2026-01-03T14:05:32.946Z] Top recommended movies for user id 72: [2026-01-03T14:05:32.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:05:32.946Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:05:32.946Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:05:32.946Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:05:32.946Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:05:32.946Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14932.163 ms) ====== [2026-01-03T14:05:32.946Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T14:05:32.946Z] GC before operation: completed in 155.287 ms, heap usage 116.556 MB -> 88.982 MB. [2026-01-03T14:05:35.831Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:05:37.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:05:40.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:05:42.880Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:05:43.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:05:44.854Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:05:46.920Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:05:47.590Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:05:47.590Z] 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. [2026-01-03T14:05:47.590Z] The best model improves the baseline by 14.34%. [2026-01-03T14:05:48.264Z] Top recommended movies for user id 72: [2026-01-03T14:05:48.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:05:48.264Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:05:48.264Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:05:48.264Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:05:48.264Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:05:48.264Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14731.990 ms) ====== [2026-01-03T14:05:48.264Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T14:05:48.264Z] GC before operation: completed in 126.823 ms, heap usage 163.522 MB -> 88.862 MB. [2026-01-03T14:05:50.371Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:05:52.465Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:05:53.799Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:05:55.870Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:05:57.215Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:05:57.870Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:05:59.191Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:06:00.543Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:06:00.543Z] 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. [2026-01-03T14:06:00.543Z] The best model improves the baseline by 14.34%. [2026-01-03T14:06:00.543Z] Top recommended movies for user id 72: [2026-01-03T14:06:00.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:06:00.543Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:06:00.543Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:06:00.543Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:06:00.543Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:06:00.543Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12518.657 ms) ====== [2026-01-03T14:06:00.543Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T14:06:00.543Z] GC before operation: completed in 151.689 ms, heap usage 224.523 MB -> 89.165 MB. [2026-01-03T14:06:02.639Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:06:04.681Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:06:06.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:06:08.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:06:09.465Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:06:10.800Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:06:12.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:06:13.799Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:06:13.799Z] 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. [2026-01-03T14:06:13.799Z] The best model improves the baseline by 14.34%. [2026-01-03T14:06:13.799Z] Top recommended movies for user id 72: [2026-01-03T14:06:13.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:06:13.799Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:06:13.799Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:06:13.799Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:06:13.799Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:06:13.799Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12889.018 ms) ====== [2026-01-03T14:06:13.799Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T14:06:14.440Z] GC before operation: completed in 120.796 ms, heap usage 115.425 MB -> 89.063 MB. [2026-01-03T14:06:15.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:06:17.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:06:19.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:06:22.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:06:23.438Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:06:24.801Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:06:26.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:06:27.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:06:27.476Z] 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. [2026-01-03T14:06:28.120Z] The best model improves the baseline by 14.34%. [2026-01-03T14:06:28.120Z] Top recommended movies for user id 72: [2026-01-03T14:06:28.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:06:28.120Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:06:28.120Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:06:28.120Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:06:28.120Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:06:28.120Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14141.961 ms) ====== [2026-01-03T14:06:28.120Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T14:06:28.120Z] GC before operation: completed in 128.255 ms, heap usage 249.530 MB -> 89.113 MB. [2026-01-03T14:06:30.219Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:06:32.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:06:35.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:06:36.598Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:06:37.931Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:06:39.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:06:40.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:06:42.005Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:06:42.652Z] 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. [2026-01-03T14:06:42.652Z] The best model improves the baseline by 14.34%. [2026-01-03T14:06:42.652Z] Top recommended movies for user id 72: [2026-01-03T14:06:42.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:06:42.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:06:42.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:06:42.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:06:42.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:06:42.652Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14481.454 ms) ====== [2026-01-03T14:06:42.652Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T14:06:42.652Z] GC before operation: completed in 104.921 ms, heap usage 120.947 MB -> 92.962 MB. [2026-01-03T14:06:44.719Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:06:46.802Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:06:49.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:06:50.550Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:06:51.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:06:53.195Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:06:54.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:06:55.848Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:06:55.848Z] 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. [2026-01-03T14:06:55.848Z] The best model improves the baseline by 14.34%. [2026-01-03T14:06:56.510Z] Top recommended movies for user id 72: [2026-01-03T14:06:56.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:06:56.510Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:06:56.510Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:06:56.510Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:06:56.510Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:06:56.510Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13577.202 ms) ====== [2026-01-03T14:06:56.510Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T14:06:56.510Z] GC before operation: completed in 98.183 ms, heap usage 159.622 MB -> 89.071 MB. [2026-01-03T14:06:58.598Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:07:01.540Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:07:03.630Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:07:04.964Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:07:06.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:07:07.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:07:08.903Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:07:10.228Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:07:10.228Z] 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. [2026-01-03T14:07:10.228Z] The best model improves the baseline by 14.34%. [2026-01-03T14:07:10.228Z] Top recommended movies for user id 72: [2026-01-03T14:07:10.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:07:10.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:07:10.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:07:10.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:07:10.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:07:10.228Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13953.807 ms) ====== [2026-01-03T14:07:10.228Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T14:07:10.228Z] GC before operation: completed in 152.680 ms, heap usage 230.230 MB -> 90.446 MB. [2026-01-03T14:07:12.303Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:07:14.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:07:16.472Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:07:17.785Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:07:19.117Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:07:20.440Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:07:21.756Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:07:22.428Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:07:23.071Z] 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. [2026-01-03T14:07:23.071Z] The best model improves the baseline by 14.34%. [2026-01-03T14:07:23.071Z] Top recommended movies for user id 72: [2026-01-03T14:07:23.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:07:23.071Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:07:23.071Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:07:23.071Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:07:23.071Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:07:23.071Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12494.693 ms) ====== [2026-01-03T14:07:23.071Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T14:07:23.071Z] GC before operation: completed in 134.941 ms, heap usage 228.018 MB -> 89.082 MB. [2026-01-03T14:07:25.117Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:07:27.209Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:07:29.672Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:07:30.990Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:07:32.357Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:07:33.700Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:07:35.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:07:36.353Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:07:36.354Z] 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. [2026-01-03T14:07:36.354Z] The best model improves the baseline by 14.34%. [2026-01-03T14:07:37.021Z] Top recommended movies for user id 72: [2026-01-03T14:07:37.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:07:37.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:07:37.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:07:37.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:07:37.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:07:37.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13691.294 ms) ====== [2026-01-03T14:07:37.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T14:07:37.021Z] GC before operation: completed in 168.366 ms, heap usage 234.967 MB -> 89.138 MB. [2026-01-03T14:07:39.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:07:41.152Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:07:43.247Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:07:45.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:07:46.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:07:48.047Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:07:49.366Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:07:50.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:07:50.723Z] 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. [2026-01-03T14:07:51.401Z] The best model improves the baseline by 14.34%. [2026-01-03T14:07:51.401Z] Top recommended movies for user id 72: [2026-01-03T14:07:51.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T14:07:51.401Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T14:07:51.401Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T14:07:51.401Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T14:07:51.401Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T14:07:51.401Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14255.864 ms) ====== [2026-01-03T14:07:52.035Z] ----------------------------------- [2026-01-03T14:07:52.035Z] renaissance-movie-lens_0_PASSED [2026-01-03T14:07:52.035Z] ----------------------------------- [2026-01-03T14:07:52.035Z] [2026-01-03T14:07:52.035Z] TEST TEARDOWN: [2026-01-03T14:07:52.035Z] Nothing to be done for teardown. [2026-01-03T14:07:52.035Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 09:07:51 2026 Epoch Time (ms): 1767449271369