[2026-02-12T22:32:30.254Z] Running test renaissance-movie-lens_0 ... [2026-02-12T22:32:30.254Z] =============================================== [2026-02-12T22:32:30.254Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 22:32:29 2026 Epoch Time (ms): 1770935549266 [2026-02-12T22:32:30.254Z] variation: NoOptions [2026-02-12T22:32:30.254Z] JVM_OPTIONS: [2026-02-12T22:32:30.254Z] { \ [2026-02-12T22:32:30.254Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T22:32:30.254Z] echo "Nothing to be done for setup."; \ [2026-02-12T22:32:30.254Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709341863548/renaissance-movie-lens_0"; \ [2026-02-12T22:32:30.254Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709341863548/renaissance-movie-lens_0"; \ [2026-02-12T22:32:30.254Z] echo ""; echo "TESTING:"; \ [2026-02-12T22:32:30.254Z] "/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_17709341863548/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T22:32:30.254Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709341863548/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T22:32:30.254Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T22:32:30.254Z] echo "Nothing to be done for teardown."; \ [2026-02-12T22:32:30.254Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709341863548/TestTargetResult"; [2026-02-12T22:32:30.254Z] [2026-02-12T22:32:30.254Z] TEST SETUP: [2026-02-12T22:32:30.254Z] Nothing to be done for setup. [2026-02-12T22:32:30.254Z] [2026-02-12T22:32:30.254Z] TESTING: [2026-02-12T22:32:30.254Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T22:32:30.254Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17709341863548/renaissance-movie-lens_0/launcher-223229-15502106120322458351/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T22:32:30.254Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T22:32:30.254Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T22:32:35.071Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-12T22:32:40.959Z] 22:32:40.405 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T22:32:43.010Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T22:32:43.658Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T22:32:43.658Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T22:32:43.658Z] GC before operation: completed in 202.271 ms, heap usage 263.098 MB -> 75.566 MB. [2026-02-12T22:32:52.835Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:32:56.627Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:33:00.378Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:33:03.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:33:05.324Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:33:07.431Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:33:09.474Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:33:11.511Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:33:11.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:33:12.159Z] The best model improves the baseline by 14.34%. [2026-02-12T22:33:12.159Z] Top recommended movies for user id 72: [2026-02-12T22:33:12.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:33:12.159Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:33:12.159Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:33:12.159Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:33:12.159Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:33:12.159Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28218.234 ms) ====== [2026-02-12T22:33:12.159Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T22:33:12.159Z] GC before operation: completed in 252.672 ms, heap usage 213.503 MB -> 96.633 MB. [2026-02-12T22:33:15.977Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:33:18.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:33:21.794Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:33:24.645Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:33:26.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:33:28.116Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:33:30.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:33:31.454Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:33:32.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:33:32.083Z] The best model improves the baseline by 14.34%. [2026-02-12T22:33:32.083Z] Top recommended movies for user id 72: [2026-02-12T22:33:32.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:33:32.083Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:33:32.083Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:33:32.083Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:33:32.083Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:33:32.083Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19935.029 ms) ====== [2026-02-12T22:33:32.083Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T22:33:32.722Z] GC before operation: completed in 214.275 ms, heap usage 311.166 MB -> 87.848 MB. [2026-02-12T22:33:35.690Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:33:39.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:33:43.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:33:46.678Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:33:48.825Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:33:50.917Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:33:53.922Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:33:55.289Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:33:55.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:33:55.937Z] The best model improves the baseline by 14.34%. [2026-02-12T22:33:55.937Z] Top recommended movies for user id 72: [2026-02-12T22:33:55.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:33:55.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:33:55.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:33:55.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:33:55.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:33:55.937Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23334.142 ms) ====== [2026-02-12T22:33:55.937Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T22:33:55.937Z] GC before operation: completed in 164.983 ms, heap usage 185.541 MB -> 88.241 MB. [2026-02-12T22:33:59.973Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:34:02.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:34:06.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:34:09.885Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:34:12.091Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:34:14.269Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:34:16.363Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:34:18.549Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:34:19.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:34:19.253Z] The best model improves the baseline by 14.34%. [2026-02-12T22:34:19.253Z] Top recommended movies for user id 72: [2026-02-12T22:34:19.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:34:19.253Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:34:19.253Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:34:19.253Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:34:19.253Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:34:19.253Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23197.223 ms) ====== [2026-02-12T22:34:19.253Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T22:34:19.253Z] GC before operation: completed in 207.886 ms, heap usage 232.450 MB -> 88.651 MB. [2026-02-12T22:34:23.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:34:26.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:34:30.189Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:34:33.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:34:36.298Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:34:37.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:34:40.752Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:34:42.995Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:34:42.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:34:42.995Z] The best model improves the baseline by 14.34%. [2026-02-12T22:34:43.644Z] Top recommended movies for user id 72: [2026-02-12T22:34:43.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:34:43.644Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:34:43.644Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:34:43.644Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:34:43.644Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:34:43.644Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23904.447 ms) ====== [2026-02-12T22:34:43.644Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T22:34:43.644Z] GC before operation: completed in 296.384 ms, heap usage 353.818 MB -> 88.868 MB. [2026-02-12T22:34:47.571Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:34:51.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:34:54.607Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:34:57.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:34:59.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:35:01.879Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:35:03.252Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:35:05.469Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:35:06.125Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:35:06.125Z] The best model improves the baseline by 14.34%. [2026-02-12T22:35:06.125Z] Top recommended movies for user id 72: [2026-02-12T22:35:06.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:35:06.125Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:35:06.125Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:35:06.125Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:35:06.125Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:35:06.125Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22522.780 ms) ====== [2026-02-12T22:35:06.125Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T22:35:06.125Z] GC before operation: completed in 216.194 ms, heap usage 300.871 MB -> 89.108 MB. [2026-02-12T22:35:10.019Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:35:13.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:35:16.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:35:19.989Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:35:22.172Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:35:24.368Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:35:27.496Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:35:28.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:35:28.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:35:29.499Z] The best model improves the baseline by 14.34%. [2026-02-12T22:35:29.499Z] Top recommended movies for user id 72: [2026-02-12T22:35:29.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:35:29.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:35:29.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:35:29.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:35:29.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:35:29.499Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23040.071 ms) ====== [2026-02-12T22:35:29.499Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T22:35:29.499Z] GC before operation: completed in 311.594 ms, heap usage 351.652 MB -> 89.112 MB. [2026-02-12T22:35:33.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:35:38.587Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:35:42.552Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:35:46.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:35:48.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:35:50.814Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:35:52.930Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:35:55.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:35:55.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:35:55.783Z] The best model improves the baseline by 14.34%. [2026-02-12T22:35:55.783Z] Top recommended movies for user id 72: [2026-02-12T22:35:55.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:35:55.783Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:35:55.783Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:35:55.783Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:35:55.783Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:35:55.783Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25857.435 ms) ====== [2026-02-12T22:35:55.783Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T22:35:55.783Z] GC before operation: completed in 279.999 ms, heap usage 300.683 MB -> 89.200 MB. [2026-02-12T22:35:59.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:36:03.681Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:36:06.687Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:36:10.726Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:36:12.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:36:14.230Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:36:16.350Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:36:18.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:36:18.567Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:36:18.567Z] The best model improves the baseline by 14.34%. [2026-02-12T22:36:19.789Z] Top recommended movies for user id 72: [2026-02-12T22:36:19.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:36:19.789Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:36:19.789Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:36:19.789Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:36:19.789Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:36:19.789Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23288.126 ms) ====== [2026-02-12T22:36:19.789Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T22:36:19.789Z] GC before operation: completed in 263.890 ms, heap usage 162.280 MB -> 88.953 MB. [2026-02-12T22:36:22.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:36:26.804Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:36:30.766Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:36:33.781Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:36:35.956Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:36:38.198Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:36:40.397Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:36:42.655Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:36:43.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:36:43.362Z] The best model improves the baseline by 14.34%. [2026-02-12T22:36:43.362Z] Top recommended movies for user id 72: [2026-02-12T22:36:43.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:36:43.362Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:36:43.362Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:36:43.362Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:36:43.362Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:36:43.362Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24073.595 ms) ====== [2026-02-12T22:36:43.362Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T22:36:44.149Z] GC before operation: completed in 424.477 ms, heap usage 225.966 MB -> 89.254 MB. [2026-02-12T22:36:48.126Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:36:52.089Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:36:56.155Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:36:59.158Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:37:00.480Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:37:03.512Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:37:04.857Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:37:07.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:37:07.767Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:37:07.767Z] The best model improves the baseline by 14.34%. [2026-02-12T22:37:07.767Z] Top recommended movies for user id 72: [2026-02-12T22:37:07.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:37:07.767Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:37:07.767Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:37:07.767Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:37:07.767Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:37:07.767Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24032.702 ms) ====== [2026-02-12T22:37:07.768Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T22:37:08.458Z] GC before operation: completed in 335.265 ms, heap usage 195.337 MB -> 88.915 MB. [2026-02-12T22:37:12.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:37:15.899Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:37:19.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:37:23.358Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:37:25.541Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:37:27.663Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:37:29.857Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:37:32.069Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:37:32.069Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:37:32.727Z] The best model improves the baseline by 14.34%. [2026-02-12T22:37:32.727Z] Top recommended movies for user id 72: [2026-02-12T22:37:32.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:37:32.727Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:37:32.727Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:37:32.727Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:37:32.728Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:37:32.728Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24434.849 ms) ====== [2026-02-12T22:37:32.728Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T22:37:32.728Z] GC before operation: completed in 217.547 ms, heap usage 108.515 MB -> 88.970 MB. [2026-02-12T22:37:37.304Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:37:40.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:37:44.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:37:47.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:37:49.559Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:37:51.751Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:37:53.897Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:37:56.086Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:37:56.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:37:56.847Z] The best model improves the baseline by 14.34%. [2026-02-12T22:37:56.847Z] Top recommended movies for user id 72: [2026-02-12T22:37:56.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:37:56.847Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:37:56.847Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:37:56.847Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:37:56.847Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:37:56.847Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24174.584 ms) ====== [2026-02-12T22:37:56.847Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T22:37:57.589Z] GC before operation: completed in 333.663 ms, heap usage 220.749 MB -> 89.263 MB. [2026-02-12T22:38:01.850Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:38:05.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:38:11.105Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:38:14.141Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:38:16.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:38:18.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:38:20.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:38:24.403Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:38:24.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:38:24.403Z] The best model improves the baseline by 14.34%. [2026-02-12T22:38:24.403Z] Top recommended movies for user id 72: [2026-02-12T22:38:24.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:38:24.403Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:38:24.403Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:38:24.403Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:38:24.403Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:38:24.403Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26709.056 ms) ====== [2026-02-12T22:38:24.403Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T22:38:24.403Z] GC before operation: completed in 212.811 ms, heap usage 391.521 MB -> 89.458 MB. [2026-02-12T22:38:27.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:38:30.376Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:38:34.430Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:38:38.668Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:38:40.899Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:38:43.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:38:44.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:38:46.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:38:47.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:38:47.355Z] The best model improves the baseline by 14.34%. [2026-02-12T22:38:47.355Z] Top recommended movies for user id 72: [2026-02-12T22:38:47.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:38:47.355Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:38:47.355Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:38:47.355Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:38:47.355Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:38:47.355Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23022.536 ms) ====== [2026-02-12T22:38:47.355Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T22:38:47.355Z] GC before operation: completed in 194.033 ms, heap usage 187.114 MB -> 89.249 MB. [2026-02-12T22:38:52.479Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:38:54.619Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:38:58.610Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:39:03.106Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:39:05.247Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:39:06.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:39:09.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:39:10.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:39:11.667Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:39:11.667Z] The best model improves the baseline by 14.34%. [2026-02-12T22:39:11.667Z] Top recommended movies for user id 72: [2026-02-12T22:39:11.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:39:11.667Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:39:11.667Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:39:11.667Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:39:11.667Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:39:11.667Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24240.101 ms) ====== [2026-02-12T22:39:11.667Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T22:39:12.337Z] GC before operation: completed in 212.901 ms, heap usage 161.927 MB -> 89.128 MB. [2026-02-12T22:39:15.328Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:39:18.312Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:39:23.405Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:39:26.587Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:39:28.729Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:39:30.919Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:39:32.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:39:34.564Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:39:35.217Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:39:35.217Z] The best model improves the baseline by 14.34%. [2026-02-12T22:39:35.217Z] Top recommended movies for user id 72: [2026-02-12T22:39:35.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:39:35.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:39:35.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:39:35.217Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:39:35.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:39:35.217Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23375.806 ms) ====== [2026-02-12T22:39:35.217Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T22:39:35.884Z] GC before operation: completed in 283.274 ms, heap usage 174.151 MB -> 89.180 MB. [2026-02-12T22:39:39.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:39:43.476Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:39:46.436Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:39:49.468Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:39:51.775Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:39:53.163Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:39:55.333Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:39:57.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:39:57.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:39:57.495Z] The best model improves the baseline by 14.34%. [2026-02-12T22:39:57.495Z] Top recommended movies for user id 72: [2026-02-12T22:39:57.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:39:57.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:39:57.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:39:57.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:39:57.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:39:57.495Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22084.784 ms) ====== [2026-02-12T22:39:57.495Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T22:39:58.159Z] GC before operation: completed in 185.612 ms, heap usage 256.752 MB -> 89.144 MB. [2026-02-12T22:40:01.265Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:40:05.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:40:09.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:40:12.259Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:40:14.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:40:15.857Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:40:18.028Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:40:20.197Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:40:20.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:40:20.197Z] The best model improves the baseline by 14.34%. [2026-02-12T22:40:20.197Z] Top recommended movies for user id 72: [2026-02-12T22:40:20.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:40:20.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:40:20.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:40:20.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:40:20.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:40:20.197Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22461.405 ms) ====== [2026-02-12T22:40:20.197Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T22:40:20.856Z] GC before operation: completed in 221.557 ms, heap usage 108.832 MB -> 89.007 MB. [2026-02-12T22:40:23.997Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:40:27.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:40:30.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:40:34.045Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:40:36.305Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:40:38.495Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:40:40.728Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:40:42.926Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:40:43.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T22:40:43.572Z] The best model improves the baseline by 14.34%. [2026-02-12T22:40:43.572Z] Top recommended movies for user id 72: [2026-02-12T22:40:43.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T22:40:43.572Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T22:40:43.572Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T22:40:43.572Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T22:40:43.572Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T22:40:43.572Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22956.780 ms) ====== [2026-02-12T22:40:44.256Z] ----------------------------------- [2026-02-12T22:40:44.256Z] renaissance-movie-lens_0_PASSED [2026-02-12T22:40:44.256Z] ----------------------------------- [2026-02-12T22:40:44.256Z] [2026-02-12T22:40:44.256Z] TEST TEARDOWN: [2026-02-12T22:40:44.256Z] Nothing to be done for teardown. [2026-02-12T22:40:44.256Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 22:40:43 2026 Epoch Time (ms): 1770936043912