[2026-02-28T22:17:00.091Z] Running test renaissance-movie-lens_0 ... [2026-02-28T22:17:00.091Z] =============================================== [2026-02-28T22:17:00.091Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 16:16:59 2026 Epoch Time (ms): 1772317019576 [2026-02-28T22:17:00.091Z] variation: NoOptions [2026-02-28T22:17:00.091Z] JVM_OPTIONS: [2026-02-28T22:17:00.091Z] { \ [2026-02-28T22:17:00.091Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T22:17:00.091Z] echo "Nothing to be done for setup."; \ [2026-02-28T22:17:00.091Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17723159709493/renaissance-movie-lens_0"; \ [2026-02-28T22:17:00.091Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17723159709493/renaissance-movie-lens_0"; \ [2026-02-28T22:17:00.091Z] echo ""; echo "TESTING:"; \ [2026-02-28T22:17:00.091Z] "/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_17723159709493/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T22:17:00.091Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17723159709493/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T22:17:00.091Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T22:17:00.091Z] echo "Nothing to be done for teardown."; \ [2026-02-28T22:17:00.091Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17723159709493/TestTargetResult"; [2026-02-28T22:17:00.091Z] [2026-02-28T22:17:00.091Z] TEST SETUP: [2026-02-28T22:17:00.091Z] Nothing to be done for setup. [2026-02-28T22:17:00.091Z] [2026-02-28T22:17:00.091Z] TESTING: [2026-02-28T22:17:00.091Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T22:17:00.091Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17723159709493/renaissance-movie-lens_0/launcher-161659-6755286128203482897/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T22:17:00.091Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T22:17:00.091Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T22:17:04.870Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-28T22:17:10.750Z] 16:17:09.777 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-28T22:17:12.079Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T22:17:12.707Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T22:17:12.707Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T22:17:12.707Z] GC before operation: completed in 225.482 ms, heap usage 355.359 MB -> 75.740 MB. [2026-02-28T22:17:18.629Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:17:24.757Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:17:27.645Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:17:31.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:17:33.510Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:17:35.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:17:36.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:17:38.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:17:38.941Z] 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. [2026-02-28T22:17:38.941Z] The best model improves the baseline by 14.34%. [2026-02-28T22:17:39.575Z] Top recommended movies for user id 72: [2026-02-28T22:17:39.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:17:39.575Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:17:39.575Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:17:39.575Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:17:39.575Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:17:39.575Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26561.380 ms) ====== [2026-02-28T22:17:39.575Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T22:17:39.575Z] GC before operation: completed in 180.017 ms, heap usage 256.403 MB -> 89.233 MB. [2026-02-28T22:17:42.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:17:45.343Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:17:48.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:17:51.116Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:17:53.189Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:17:55.232Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:17:57.290Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:17:58.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:17:58.604Z] 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. [2026-02-28T22:17:58.604Z] The best model improves the baseline by 14.34%. [2026-02-28T22:17:59.235Z] Top recommended movies for user id 72: [2026-02-28T22:17:59.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:17:59.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:17:59.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:17:59.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:17:59.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:17:59.235Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19619.098 ms) ====== [2026-02-28T22:17:59.235Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T22:17:59.235Z] GC before operation: completed in 201.826 ms, heap usage 240.442 MB -> 87.863 MB. [2026-02-28T22:18:02.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:18:05.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:18:07.914Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:18:10.774Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:18:12.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:18:13.393Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:18:15.444Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:18:16.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:18:16.780Z] 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. [2026-02-28T22:18:16.780Z] The best model improves the baseline by 14.34%. [2026-02-28T22:18:16.780Z] Top recommended movies for user id 72: [2026-02-28T22:18:16.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:18:16.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:18:16.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:18:16.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:18:16.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:18:16.780Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17555.222 ms) ====== [2026-02-28T22:18:16.780Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T22:18:16.780Z] GC before operation: completed in 196.323 ms, heap usage 379.095 MB -> 88.772 MB. [2026-02-28T22:18:19.669Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:18:22.520Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:18:25.886Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:18:27.191Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:18:28.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:18:29.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:18:31.876Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:18:33.216Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:18:33.216Z] 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. [2026-02-28T22:18:33.216Z] The best model improves the baseline by 14.34%. [2026-02-28T22:18:33.216Z] Top recommended movies for user id 72: [2026-02-28T22:18:33.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:18:33.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:18:33.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:18:33.216Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:18:33.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:18:33.216Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16351.313 ms) ====== [2026-02-28T22:18:33.216Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T22:18:33.845Z] GC before operation: completed in 144.241 ms, heap usage 241.928 MB -> 88.814 MB. [2026-02-28T22:18:35.917Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:18:38.776Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:18:40.828Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:18:42.888Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:18:44.195Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:18:46.253Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:18:47.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:18:48.871Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:18:49.497Z] 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. [2026-02-28T22:18:49.497Z] The best model improves the baseline by 14.34%. [2026-02-28T22:18:49.497Z] Top recommended movies for user id 72: [2026-02-28T22:18:49.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:18:49.497Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:18:49.497Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:18:49.497Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:18:49.497Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:18:49.497Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15913.741 ms) ====== [2026-02-28T22:18:49.497Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T22:18:49.497Z] GC before operation: completed in 177.993 ms, heap usage 153.552 MB -> 88.675 MB. [2026-02-28T22:18:52.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:18:54.419Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:18:57.287Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:18:59.331Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:19:01.393Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:19:02.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:19:04.032Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:19:05.352Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:19:05.352Z] 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. [2026-02-28T22:19:05.352Z] The best model improves the baseline by 14.34%. [2026-02-28T22:19:05.981Z] Top recommended movies for user id 72: [2026-02-28T22:19:05.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:19:05.981Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:19:05.981Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:19:05.981Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:19:05.981Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:19:05.981Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16013.117 ms) ====== [2026-02-28T22:19:05.981Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T22:19:05.981Z] GC before operation: completed in 129.256 ms, heap usage 251.526 MB -> 89.167 MB. [2026-02-28T22:19:08.026Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:19:10.079Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:19:12.949Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:19:14.998Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:19:16.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:19:17.604Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:19:18.914Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:19:20.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:19:20.242Z] 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. [2026-02-28T22:19:20.242Z] The best model improves the baseline by 14.34%. [2026-02-28T22:19:20.242Z] Top recommended movies for user id 72: [2026-02-28T22:19:20.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:19:20.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:19:20.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:19:20.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:19:20.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:19:20.242Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14490.588 ms) ====== [2026-02-28T22:19:20.242Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T22:19:20.242Z] GC before operation: completed in 148.144 ms, heap usage 107.366 MB -> 88.863 MB. [2026-02-28T22:19:22.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:19:24.831Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:19:26.875Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:19:28.928Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:19:30.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:19:32.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:19:33.708Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:19:35.026Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:19:35.026Z] 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. [2026-02-28T22:19:35.026Z] The best model improves the baseline by 14.34%. [2026-02-28T22:19:35.655Z] Top recommended movies for user id 72: [2026-02-28T22:19:35.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:19:35.655Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:19:35.655Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:19:35.655Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:19:35.655Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:19:35.655Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14894.228 ms) ====== [2026-02-28T22:19:35.655Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T22:19:35.655Z] GC before operation: completed in 126.564 ms, heap usage 351.872 MB -> 89.485 MB. [2026-02-28T22:19:37.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:19:39.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:19:42.613Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:19:44.662Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:19:46.036Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:19:46.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:19:48.709Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:19:50.035Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:19:50.035Z] 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. [2026-02-28T22:19:50.035Z] The best model improves the baseline by 14.34%. [2026-02-28T22:19:50.035Z] Top recommended movies for user id 72: [2026-02-28T22:19:50.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:19:50.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:19:50.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:19:50.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:19:50.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:19:50.035Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14850.282 ms) ====== [2026-02-28T22:19:50.035Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T22:19:50.661Z] GC before operation: completed in 151.377 ms, heap usage 165.582 MB -> 89.071 MB. [2026-02-28T22:19:52.720Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:19:54.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:19:57.623Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:19:59.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:20:00.984Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:20:02.290Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:20:03.601Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:20:04.910Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:20:04.911Z] 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. [2026-02-28T22:20:04.911Z] The best model improves the baseline by 14.34%. [2026-02-28T22:20:04.911Z] Top recommended movies for user id 72: [2026-02-28T22:20:04.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:20:04.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:20:04.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:20:04.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:20:04.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:20:04.911Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14538.940 ms) ====== [2026-02-28T22:20:04.911Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T22:20:04.911Z] GC before operation: completed in 162.154 ms, heap usage 302.621 MB -> 89.599 MB. [2026-02-28T22:20:07.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:20:09.098Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:20:11.961Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:20:14.004Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:20:15.326Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:20:16.632Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:20:18.684Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:20:19.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:20:19.949Z] 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. [2026-02-28T22:20:19.949Z] The best model improves the baseline by 14.34%. [2026-02-28T22:20:19.949Z] Top recommended movies for user id 72: [2026-02-28T22:20:19.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:20:19.949Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:20:19.949Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:20:19.949Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:20:19.949Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:20:19.949Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14690.308 ms) ====== [2026-02-28T22:20:19.949Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T22:20:19.949Z] GC before operation: completed in 140.657 ms, heap usage 213.422 MB -> 89.163 MB. [2026-02-28T22:20:21.997Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:20:24.882Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:20:27.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:20:29.113Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:20:30.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:20:31.744Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:20:33.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:20:34.363Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:20:34.992Z] 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. [2026-02-28T22:20:34.992Z] The best model improves the baseline by 14.34%. [2026-02-28T22:20:34.992Z] Top recommended movies for user id 72: [2026-02-28T22:20:34.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:20:34.992Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:20:34.992Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:20:34.992Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:20:34.992Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:20:34.992Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14828.641 ms) ====== [2026-02-28T22:20:34.993Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T22:20:34.993Z] GC before operation: completed in 131.086 ms, heap usage 219.940 MB -> 89.382 MB. [2026-02-28T22:20:37.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:20:39.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:20:41.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:20:44.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:20:45.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:20:46.636Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:20:47.948Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:20:49.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:20:49.263Z] 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. [2026-02-28T22:20:49.263Z] The best model improves the baseline by 14.34%. [2026-02-28T22:20:49.899Z] Top recommended movies for user id 72: [2026-02-28T22:20:49.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:20:49.899Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:20:49.899Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:20:49.899Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:20:49.899Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:20:49.899Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14637.397 ms) ====== [2026-02-28T22:20:49.899Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T22:20:49.899Z] GC before operation: completed in 156.024 ms, heap usage 176.042 MB -> 89.356 MB. [2026-02-28T22:20:51.943Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:20:54.023Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:20:56.531Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:20:58.570Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:21:00.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:21:01.917Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:21:03.222Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:21:04.531Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:21:05.160Z] 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. [2026-02-28T22:21:05.160Z] The best model improves the baseline by 14.34%. [2026-02-28T22:21:05.160Z] Top recommended movies for user id 72: [2026-02-28T22:21:05.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:21:05.160Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:21:05.160Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:21:05.160Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:21:05.160Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:21:05.160Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15337.418 ms) ====== [2026-02-28T22:21:05.160Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T22:21:05.160Z] GC before operation: completed in 143.400 ms, heap usage 203.804 MB -> 89.199 MB. [2026-02-28T22:21:07.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:21:09.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:21:12.104Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:21:13.413Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:21:14.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:21:16.027Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:21:17.331Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:21:18.631Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:21:19.266Z] 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. [2026-02-28T22:21:19.266Z] The best model improves the baseline by 14.34%. [2026-02-28T22:21:19.266Z] Top recommended movies for user id 72: [2026-02-28T22:21:19.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:21:19.266Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:21:19.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:21:19.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:21:19.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:21:19.266Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13868.626 ms) ====== [2026-02-28T22:21:19.266Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T22:21:19.266Z] GC before operation: completed in 125.881 ms, heap usage 217.299 MB -> 89.457 MB. [2026-02-28T22:21:21.307Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:21:23.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:21:25.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:21:27.500Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:21:28.813Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:21:30.241Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:21:31.551Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:21:32.884Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:21:32.884Z] 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. [2026-02-28T22:21:32.884Z] The best model improves the baseline by 14.34%. [2026-02-28T22:21:33.511Z] Top recommended movies for user id 72: [2026-02-28T22:21:33.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:21:33.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:21:33.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:21:33.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:21:33.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:21:33.511Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13983.247 ms) ====== [2026-02-28T22:21:33.511Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T22:21:33.511Z] GC before operation: completed in 139.265 ms, heap usage 141.610 MB -> 89.176 MB. [2026-02-28T22:21:35.565Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:21:37.630Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:21:41.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:21:41.948Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:21:43.271Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:21:44.576Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:21:45.880Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:21:47.204Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:21:47.204Z] 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. [2026-02-28T22:21:47.204Z] The best model improves the baseline by 14.34%. [2026-02-28T22:21:47.204Z] Top recommended movies for user id 72: [2026-02-28T22:21:47.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:21:47.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:21:47.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:21:47.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:21:47.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:21:47.204Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14010.321 ms) ====== [2026-02-28T22:21:47.204Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T22:21:47.833Z] GC before operation: completed in 168.680 ms, heap usage 384.085 MB -> 89.740 MB. [2026-02-28T22:21:49.897Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:21:52.763Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:21:54.808Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:21:56.862Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:21:58.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:21:59.499Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:22:00.809Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:22:02.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:22:02.755Z] 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. [2026-02-28T22:22:02.755Z] The best model improves the baseline by 14.34%. [2026-02-28T22:22:02.755Z] Top recommended movies for user id 72: [2026-02-28T22:22:02.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:22:02.755Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:22:02.755Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:22:02.755Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:22:02.755Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:22:02.755Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15076.205 ms) ====== [2026-02-28T22:22:02.755Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T22:22:02.755Z] GC before operation: completed in 143.583 ms, heap usage 177.834 MB -> 89.159 MB. [2026-02-28T22:22:04.796Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:22:06.834Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:22:08.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:22:10.914Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:22:12.230Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:22:13.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:22:14.872Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:22:16.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:22:16.811Z] 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. [2026-02-28T22:22:16.811Z] The best model improves the baseline by 14.34%. [2026-02-28T22:22:16.811Z] Top recommended movies for user id 72: [2026-02-28T22:22:16.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:22:16.811Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:22:16.811Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:22:16.811Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:22:16.811Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:22:16.811Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14064.539 ms) ====== [2026-02-28T22:22:16.811Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T22:22:16.811Z] GC before operation: completed in 117.834 ms, heap usage 255.101 MB -> 89.422 MB. [2026-02-28T22:22:18.867Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:22:21.287Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:22:24.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:22:25.443Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:22:26.743Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:22:28.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:22:29.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:22:30.764Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:22:31.390Z] 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. [2026-02-28T22:22:31.390Z] The best model improves the baseline by 14.34%. [2026-02-28T22:22:31.390Z] Top recommended movies for user id 72: [2026-02-28T22:22:31.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-28T22:22:31.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-28T22:22:31.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-28T22:22:31.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-28T22:22:31.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-28T22:22:31.390Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14319.393 ms) ====== [2026-02-28T22:22:31.390Z] ----------------------------------- [2026-02-28T22:22:31.390Z] renaissance-movie-lens_0_PASSED [2026-02-28T22:22:31.390Z] ----------------------------------- [2026-02-28T22:22:31.390Z] [2026-02-28T22:22:31.390Z] TEST TEARDOWN: [2026-02-28T22:22:31.390Z] Nothing to be done for teardown. [2026-02-28T22:22:31.390Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 16:22:31 2026 Epoch Time (ms): 1772317351277