[2026-01-24T14:36:10.242Z] Running test renaissance-movie-lens_0 ... [2026-01-24T14:36:10.242Z] =============================================== [2026-01-24T14:36:10.242Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:36:09 2026 Epoch Time (ms): 1769265369813 [2026-01-24T14:36:10.242Z] variation: NoOptions [2026-01-24T14:36:10.242Z] JVM_OPTIONS: [2026-01-24T14:36:10.242Z] { \ [2026-01-24T14:36:10.242Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T14:36:10.242Z] echo "Nothing to be done for setup."; \ [2026-01-24T14:36:10.242Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692640114545/renaissance-movie-lens_0"; \ [2026-01-24T14:36:10.242Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692640114545/renaissance-movie-lens_0"; \ [2026-01-24T14:36:10.242Z] echo ""; echo "TESTING:"; \ [2026-01-24T14:36:10.243Z] "/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_17692640114545/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T14:36:10.243Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692640114545/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T14:36:10.243Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T14:36:10.243Z] echo "Nothing to be done for teardown."; \ [2026-01-24T14:36:10.243Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692640114545/TestTargetResult"; [2026-01-24T14:36:10.243Z] [2026-01-24T14:36:10.243Z] TEST SETUP: [2026-01-24T14:36:10.243Z] Nothing to be done for setup. [2026-01-24T14:36:10.243Z] [2026-01-24T14:36:10.243Z] TESTING: [2026-01-24T14:36:10.860Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T14:36:10.860Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17692640114545/renaissance-movie-lens_0/launcher-143609-16258180309815794385/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T14:36:10.860Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T14:36:10.860Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T14:36:14.592Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-24T14:36:20.458Z] 14:36:19.711 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. [2026-01-24T14:36:22.548Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T14:36:23.875Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T14:36:23.875Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T14:36:23.875Z] GC before operation: completed in 241.353 ms, heap usage 148.000 MB -> 75.678 MB. [2026-01-24T14:36:30.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:36:34.719Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:36:38.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:36:41.280Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:36:43.319Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:36:45.344Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:36:48.209Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:36:49.547Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:36:50.168Z] 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. [2026-01-24T14:36:50.168Z] The best model improves the baseline by 14.34%. [2026-01-24T14:36:50.168Z] Top recommended movies for user id 72: [2026-01-24T14:36:50.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:36:50.168Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:36:50.168Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:36:50.168Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:36:50.168Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:36:50.168Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26387.389 ms) ====== [2026-01-24T14:36:50.168Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T14:36:50.168Z] GC before operation: completed in 219.723 ms, heap usage 321.017 MB -> 99.310 MB. [2026-01-24T14:36:53.930Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:36:56.801Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:36:59.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:37:01.652Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:37:03.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:37:04.948Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:37:06.971Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:37:08.272Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:37:08.272Z] 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. [2026-01-24T14:37:08.272Z] The best model improves the baseline by 14.34%. [2026-01-24T14:37:08.892Z] Top recommended movies for user id 72: [2026-01-24T14:37:08.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:37:08.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:37:08.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:37:08.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:37:08.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:37:08.892Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18273.606 ms) ====== [2026-01-24T14:37:08.892Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T14:37:08.892Z] GC before operation: completed in 173.007 ms, heap usage 152.505 MB -> 87.723 MB. [2026-01-24T14:37:11.795Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:37:14.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:37:17.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:37:19.536Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:37:21.584Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:37:22.926Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:37:24.221Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:37:25.898Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:37:26.604Z] 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. [2026-01-24T14:37:26.604Z] The best model improves the baseline by 14.34%. [2026-01-24T14:37:26.604Z] Top recommended movies for user id 72: [2026-01-24T14:37:26.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:37:26.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:37:26.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:37:26.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:37:26.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:37:26.604Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17352.601 ms) ====== [2026-01-24T14:37:26.604Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T14:37:26.604Z] GC before operation: completed in 207.887 ms, heap usage 234.422 MB -> 88.555 MB. [2026-01-24T14:37:29.471Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:37:31.542Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:37:35.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:37:37.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:37:39.609Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:37:40.947Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:37:42.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:37:45.058Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:37:45.058Z] 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. [2026-01-24T14:37:45.058Z] The best model improves the baseline by 14.34%. [2026-01-24T14:37:45.058Z] Top recommended movies for user id 72: [2026-01-24T14:37:45.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:37:45.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:37:45.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:37:45.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:37:45.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:37:45.058Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18875.163 ms) ====== [2026-01-24T14:37:45.058Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T14:37:45.691Z] GC before operation: completed in 195.852 ms, heap usage 114.379 MB -> 88.601 MB. [2026-01-24T14:37:48.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:37:51.437Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:37:54.319Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:37:57.233Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:37:59.329Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:38:00.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:38:04.204Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:38:04.828Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:38:04.828Z] 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. [2026-01-24T14:38:04.828Z] The best model improves the baseline by 14.34%. [2026-01-24T14:38:04.828Z] Top recommended movies for user id 72: [2026-01-24T14:38:04.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:38:04.828Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:38:04.828Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:38:04.828Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:38:04.828Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:38:04.828Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19607.952 ms) ====== [2026-01-24T14:38:04.828Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T14:38:05.984Z] GC before operation: completed in 231.092 ms, heap usage 150.298 MB -> 88.646 MB. [2026-01-24T14:38:08.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:38:10.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:38:13.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:38:16.721Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:38:18.021Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:38:19.331Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:38:21.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:38:22.808Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:38:22.808Z] 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. [2026-01-24T14:38:22.808Z] The best model improves the baseline by 14.34%. [2026-01-24T14:38:23.443Z] Top recommended movies for user id 72: [2026-01-24T14:38:23.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:38:23.443Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:38:23.443Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:38:23.443Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:38:23.443Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:38:23.443Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17882.676 ms) ====== [2026-01-24T14:38:23.443Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T14:38:23.443Z] GC before operation: completed in 153.612 ms, heap usage 112.396 MB -> 90.891 MB. [2026-01-24T14:38:26.317Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:38:29.170Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:38:32.031Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:38:34.201Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:38:36.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:38:37.557Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:38:39.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:38:41.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:38:41.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:38:41.068Z] The best model improves the baseline by 14.34%. [2026-01-24T14:38:41.702Z] Top recommended movies for user id 72: [2026-01-24T14:38:41.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:38:41.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:38:41.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:38:41.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:38:41.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:38:41.702Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17997.828 ms) ====== [2026-01-24T14:38:41.702Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T14:38:41.702Z] GC before operation: completed in 234.273 ms, heap usage 204.105 MB -> 88.988 MB. [2026-01-24T14:38:44.587Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:38:46.619Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:38:49.925Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:38:51.978Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:38:53.260Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:38:55.335Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:38:57.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:38:58.709Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:38:58.709Z] 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. [2026-01-24T14:38:58.709Z] The best model improves the baseline by 14.34%. [2026-01-24T14:38:59.360Z] Top recommended movies for user id 72: [2026-01-24T14:38:59.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:38:59.360Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:38:59.360Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:38:59.360Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:38:59.360Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:38:59.360Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17474.887 ms) ====== [2026-01-24T14:38:59.360Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T14:38:59.360Z] GC before operation: completed in 247.188 ms, heap usage 179.964 MB -> 89.178 MB. [2026-01-24T14:39:02.225Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:05.079Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:07.988Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:39:10.941Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:39:12.308Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:39:14.567Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:39:15.892Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:39:18.010Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:39:18.010Z] 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. [2026-01-24T14:39:18.010Z] The best model improves the baseline by 14.34%. [2026-01-24T14:39:18.658Z] Top recommended movies for user id 72: [2026-01-24T14:39:18.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:39:18.658Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:39:18.658Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:39:18.658Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:39:18.658Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:39:18.658Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19181.012 ms) ====== [2026-01-24T14:39:18.658Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T14:39:18.658Z] GC before operation: completed in 195.890 ms, heap usage 180.704 MB -> 89.039 MB. [2026-01-24T14:39:22.518Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:26.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:30.487Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:39:34.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:39:36.205Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:39:38.371Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:39:40.602Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:39:43.605Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:39:43.605Z] 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. [2026-01-24T14:39:43.605Z] The best model improves the baseline by 14.34%. [2026-01-24T14:39:43.605Z] Top recommended movies for user id 72: [2026-01-24T14:39:43.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:39:43.605Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:39:43.605Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:39:43.605Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:39:43.605Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:39:43.605Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25096.719 ms) ====== [2026-01-24T14:39:43.605Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T14:39:44.289Z] GC before operation: completed in 194.331 ms, heap usage 170.674 MB -> 92.701 MB. [2026-01-24T14:39:48.314Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:51.401Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:56.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:00.407Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:02.478Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:04.693Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:40:06.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:08.987Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:08.987Z] 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. [2026-01-24T14:40:08.987Z] The best model improves the baseline by 14.34%. [2026-01-24T14:40:09.643Z] Top recommended movies for user id 72: [2026-01-24T14:40:09.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:40:09.643Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:40:09.643Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:40:09.643Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:40:09.643Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:40:09.643Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25343.803 ms) ====== [2026-01-24T14:40:09.643Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T14:40:09.643Z] GC before operation: completed in 157.078 ms, heap usage 358.615 MB -> 89.385 MB. [2026-01-24T14:40:12.608Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:40:16.175Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:40:20.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:23.994Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:25.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:27.530Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:40:29.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:31.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:31.855Z] 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. [2026-01-24T14:40:32.516Z] The best model improves the baseline by 14.34%. [2026-01-24T14:40:32.516Z] Top recommended movies for user id 72: [2026-01-24T14:40:32.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:40:32.516Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:40:32.516Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:40:32.516Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:40:32.516Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:40:32.516Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22789.903 ms) ====== [2026-01-24T14:40:32.516Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T14:40:32.516Z] GC before operation: completed in 194.373 ms, heap usage 203.209 MB -> 89.212 MB. [2026-01-24T14:40:35.530Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:40:39.597Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:40:43.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:47.638Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:49.780Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:52.005Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:40:54.359Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:57.347Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:57.347Z] 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. [2026-01-24T14:40:57.347Z] The best model improves the baseline by 14.34%. [2026-01-24T14:40:57.347Z] Top recommended movies for user id 72: [2026-01-24T14:40:57.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:40:57.347Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:40:57.347Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:40:57.347Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:40:57.347Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:40:57.347Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24947.074 ms) ====== [2026-01-24T14:40:57.347Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T14:40:58.009Z] GC before operation: completed in 196.605 ms, heap usage 153.286 MB -> 89.329 MB. [2026-01-24T14:41:02.004Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:05.016Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:08.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:41:12.917Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:41:15.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:41:17.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:41:19.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:41:21.452Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:41:21.452Z] 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. [2026-01-24T14:41:21.452Z] The best model improves the baseline by 14.34%. [2026-01-24T14:41:21.452Z] Top recommended movies for user id 72: [2026-01-24T14:41:21.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:41:21.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:41:21.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:41:21.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:41:21.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:41:21.452Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23852.156 ms) ====== [2026-01-24T14:41:21.452Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T14:41:21.452Z] GC before operation: completed in 167.776 ms, heap usage 233.956 MB -> 89.247 MB. [2026-01-24T14:41:24.439Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:27.457Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:31.443Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:41:34.407Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:41:37.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:41:39.726Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:41:41.874Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:41:44.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:41:45.265Z] 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. [2026-01-24T14:41:45.265Z] The best model improves the baseline by 14.34%. [2026-01-24T14:41:45.265Z] Top recommended movies for user id 72: [2026-01-24T14:41:45.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:41:45.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:41:45.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:41:45.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:41:45.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:41:45.265Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23527.705 ms) ====== [2026-01-24T14:41:45.265Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T14:41:45.265Z] GC before operation: completed in 195.986 ms, heap usage 309.854 MB -> 89.645 MB. [2026-01-24T14:41:49.338Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:54.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:58.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:01.618Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:42:04.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:06.982Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:10.018Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:42:12.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:42:12.903Z] 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. [2026-01-24T14:42:12.903Z] The best model improves the baseline by 14.34%. [2026-01-24T14:42:13.555Z] Top recommended movies for user id 72: [2026-01-24T14:42:13.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:42:13.555Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:42:13.555Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:42:13.555Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:42:13.555Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:42:13.555Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27855.769 ms) ====== [2026-01-24T14:42:13.555Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T14:42:13.555Z] GC before operation: completed in 233.929 ms, heap usage 243.557 MB -> 89.327 MB. [2026-01-24T14:42:17.604Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:42:21.762Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:42:27.547Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:29.801Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:42:32.788Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:34.990Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:37.137Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:42:40.237Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:42:40.237Z] 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. [2026-01-24T14:42:40.936Z] The best model improves the baseline by 14.34%. [2026-01-24T14:42:40.936Z] Top recommended movies for user id 72: [2026-01-24T14:42:40.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:42:40.936Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:42:40.936Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:42:40.936Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:42:40.936Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:42:40.936Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27313.148 ms) ====== [2026-01-24T14:42:40.936Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T14:42:40.936Z] GC before operation: completed in 180.247 ms, heap usage 162.233 MB -> 89.323 MB. [2026-01-24T14:42:46.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:42:50.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:42:53.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:57.053Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:00.185Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:43:02.379Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:43:05.508Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:43:08.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:43:08.624Z] 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. [2026-01-24T14:43:09.288Z] The best model improves the baseline by 14.34%. [2026-01-24T14:43:09.288Z] Top recommended movies for user id 72: [2026-01-24T14:43:09.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:43:09.288Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:43:09.288Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:43:09.288Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:43:09.288Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:43:09.288Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28125.818 ms) ====== [2026-01-24T14:43:09.288Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T14:43:09.288Z] GC before operation: completed in 305.186 ms, heap usage 247.884 MB -> 89.336 MB. [2026-01-24T14:43:13.884Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:43:17.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:43:24.159Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:43:29.373Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:31.569Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:43:33.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:43:37.064Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:43:40.282Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:43:40.282Z] 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. [2026-01-24T14:43:40.282Z] The best model improves the baseline by 14.34%. [2026-01-24T14:43:40.946Z] Top recommended movies for user id 72: [2026-01-24T14:43:40.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:43:40.946Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:43:40.946Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:43:40.946Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:43:40.946Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:43:40.946Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31347.400 ms) ====== [2026-01-24T14:43:40.946Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T14:43:40.946Z] GC before operation: completed in 240.845 ms, heap usage 199.860 MB -> 90.484 MB. [2026-01-24T14:43:44.819Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:43:47.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:43:52.017Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:43:57.045Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:59.815Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:44:02.029Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:44:05.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:44:07.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:44:08.111Z] 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. [2026-01-24T14:44:08.111Z] The best model improves the baseline by 14.34%. [2026-01-24T14:44:08.111Z] Top recommended movies for user id 72: [2026-01-24T14:44:08.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:44:08.111Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:44:08.111Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:44:08.111Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:44:08.111Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:44:08.111Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27394.557 ms) ====== [2026-01-24T14:44:08.816Z] ----------------------------------- [2026-01-24T14:44:08.816Z] renaissance-movie-lens_0_PASSED [2026-01-24T14:44:08.816Z] ----------------------------------- [2026-01-24T14:44:08.816Z] [2026-01-24T14:44:08.816Z] TEST TEARDOWN: [2026-01-24T14:44:08.816Z] Nothing to be done for teardown. [2026-01-24T14:44:08.816Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 14:44:08 2026 Epoch Time (ms): 1769265848692