[2026-04-14T01:08:17.693Z] Running test renaissance-movie-lens_0 ... [2026-04-14T01:08:17.693Z] =============================================== [2026-04-14T01:08:17.693Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 01:08:17 2026 Epoch Time (ms): 1776128897598 [2026-04-14T01:08:17.693Z] variation: NoOptions [2026-04-14T01:08:17.693Z] JVM_OPTIONS: [2026-04-14T01:08:17.693Z] { \ [2026-04-14T01:08:17.693Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T01:08:17.693Z] echo "Nothing to be done for setup."; \ [2026-04-14T01:08:17.693Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761275467685/renaissance-movie-lens_0"; \ [2026-04-14T01:08:17.693Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761275467685/renaissance-movie-lens_0"; \ [2026-04-14T01:08:17.693Z] echo ""; echo "TESTING:"; \ [2026-04-14T01:08:17.693Z] "/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_17761275467685/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T01:08:17.693Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761275467685/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T01:08:17.693Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T01:08:17.693Z] echo "Nothing to be done for teardown."; \ [2026-04-14T01:08:17.693Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761275467685/TestTargetResult"; [2026-04-14T01:08:17.693Z] [2026-04-14T01:08:17.693Z] TEST SETUP: [2026-04-14T01:08:17.693Z] Nothing to be done for setup. [2026-04-14T01:08:17.693Z] [2026-04-14T01:08:17.693Z] TESTING: [2026-04-14T01:08:18.304Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-14T01:08:18.304Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17761275467685/renaissance-movie-lens_0/launcher-010817-5505957597437958709/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-14T01:08:18.304Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-14T01:08:18.304Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-14T01:08:22.993Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-14T01:08:28.869Z] 01:08:28.183 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. [2026-04-14T01:08:30.863Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T01:08:31.474Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T01:08:31.474Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T01:08:31.474Z] GC before operation: completed in 195.991 ms, heap usage 251.487 MB -> 75.649 MB. [2026-04-14T01:08:37.905Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:08:44.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:08:47.760Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:08:50.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:08:51.936Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:08:57.414Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:08:59.545Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:08:59.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:08:59.545Z] 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. [2026-04-14T01:08:59.545Z] The best model improves the baseline by 14.34%. [2026-04-14T01:08:59.545Z] Top recommended movies for user id 72: [2026-04-14T01:08:59.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:08:59.545Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:08:59.545Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:08:59.545Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:08:59.545Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:08:59.545Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26405.407 ms) ====== [2026-04-14T01:08:59.545Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T01:08:59.545Z] GC before operation: completed in 192.021 ms, heap usage 118.579 MB -> 97.573 MB. [2026-04-14T01:09:01.583Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:09:04.568Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:09:07.407Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:09:10.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:09:11.712Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:09:13.024Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:09:15.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:09:16.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:09:17.007Z] 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. [2026-04-14T01:09:17.007Z] The best model improves the baseline by 14.34%. [2026-04-14T01:09:17.007Z] Top recommended movies for user id 72: [2026-04-14T01:09:17.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:09:17.007Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:09:17.007Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:09:17.007Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:09:17.007Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:09:17.007Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18578.589 ms) ====== [2026-04-14T01:09:17.007Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T01:09:17.007Z] GC before operation: completed in 165.002 ms, heap usage 201.662 MB -> 87.722 MB. [2026-04-14T01:09:20.009Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:09:22.935Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:09:25.078Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:09:27.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:09:29.189Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:09:31.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:09:32.510Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:09:33.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:09:34.481Z] 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. [2026-04-14T01:09:34.481Z] The best model improves the baseline by 14.34%. [2026-04-14T01:09:34.481Z] Top recommended movies for user id 72: [2026-04-14T01:09:34.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:09:34.481Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:09:34.481Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:09:34.481Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:09:34.481Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:09:34.481Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17376.595 ms) ====== [2026-04-14T01:09:34.481Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T01:09:34.481Z] GC before operation: completed in 198.735 ms, heap usage 215.479 MB -> 88.436 MB. [2026-04-14T01:09:37.341Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:09:39.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:09:42.372Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:09:45.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:09:46.448Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:09:48.510Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:09:49.778Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:09:51.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:09:51.676Z] 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. [2026-04-14T01:09:51.676Z] The best model improves the baseline by 14.34%. [2026-04-14T01:09:51.676Z] Top recommended movies for user id 72: [2026-04-14T01:09:51.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:09:51.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:09:51.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:09:51.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:09:51.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:09:51.676Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16958.077 ms) ====== [2026-04-14T01:09:51.676Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T01:09:51.676Z] GC before operation: completed in 198.314 ms, heap usage 107.913 MB -> 88.604 MB. [2026-04-14T01:09:54.519Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:09:57.347Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:09:59.711Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:10:02.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:10:03.856Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:10:05.204Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:10:06.480Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:10:07.791Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:10:08.405Z] 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. [2026-04-14T01:10:08.405Z] The best model improves the baseline by 14.34%. [2026-04-14T01:10:08.405Z] Top recommended movies for user id 72: [2026-04-14T01:10:08.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:10:08.405Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:10:08.405Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:10:08.405Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:10:08.405Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:10:08.405Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16612.207 ms) ====== [2026-04-14T01:10:08.405Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T01:10:08.405Z] GC before operation: completed in 182.202 ms, heap usage 220.293 MB -> 88.775 MB. [2026-04-14T01:10:11.250Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:10:14.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:10:16.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:10:19.014Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:10:20.298Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:10:21.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:10:22.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:10:24.109Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:10:24.718Z] 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. [2026-04-14T01:10:24.718Z] The best model improves the baseline by 14.34%. [2026-04-14T01:10:24.718Z] Top recommended movies for user id 72: [2026-04-14T01:10:24.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:10:24.718Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:10:24.718Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:10:24.718Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:10:24.718Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:10:24.718Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16160.073 ms) ====== [2026-04-14T01:10:24.718Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T01:10:24.718Z] GC before operation: completed in 191.524 ms, heap usage 201.813 MB -> 88.988 MB. [2026-04-14T01:10:28.367Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:10:30.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:10:34.478Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:10:36.504Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:10:38.537Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:10:39.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:10:42.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:10:44.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:10:44.018Z] 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. [2026-04-14T01:10:44.018Z] The best model improves the baseline by 14.34%. [2026-04-14T01:10:44.628Z] Top recommended movies for user id 72: [2026-04-14T01:10:44.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:10:44.628Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:10:44.628Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:10:44.628Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:10:44.628Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:10:44.628Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19409.898 ms) ====== [2026-04-14T01:10:44.628Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T01:10:44.628Z] GC before operation: completed in 192.249 ms, heap usage 258.467 MB -> 89.181 MB. [2026-04-14T01:10:47.470Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:10:50.435Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:10:53.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:10:57.130Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:10:58.520Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:11:00.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:11:02.789Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:11:04.116Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:11:04.758Z] 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. [2026-04-14T01:11:04.758Z] The best model improves the baseline by 14.34%. [2026-04-14T01:11:04.758Z] Top recommended movies for user id 72: [2026-04-14T01:11:04.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:11:04.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:11:04.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:11:04.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:11:04.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:11:04.758Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20062.946 ms) ====== [2026-04-14T01:11:04.758Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T01:11:04.758Z] GC before operation: completed in 183.881 ms, heap usage 156.358 MB -> 89.172 MB. [2026-04-14T01:11:08.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:11:10.853Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:11:14.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:11:16.876Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:11:18.168Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:11:20.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:11:21.505Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:11:23.534Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:11:23.534Z] 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. [2026-04-14T01:11:23.534Z] The best model improves the baseline by 14.34%. [2026-04-14T01:11:23.534Z] Top recommended movies for user id 72: [2026-04-14T01:11:23.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:11:23.534Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:11:23.534Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:11:23.534Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:11:23.534Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:11:23.534Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18960.936 ms) ====== [2026-04-14T01:11:23.534Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T01:11:24.196Z] GC before operation: completed in 188.383 ms, heap usage 203.872 MB -> 89.024 MB. [2026-04-14T01:11:27.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:11:30.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:11:33.031Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:11:35.156Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:11:37.243Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:11:38.592Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:11:40.223Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:11:41.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:11:41.568Z] 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. [2026-04-14T01:11:42.195Z] The best model improves the baseline by 14.34%. [2026-04-14T01:11:42.195Z] Top recommended movies for user id 72: [2026-04-14T01:11:42.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:11:42.195Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:11:42.195Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:11:42.195Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:11:42.195Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:11:42.195Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18043.934 ms) ====== [2026-04-14T01:11:42.195Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T01:11:42.195Z] GC before operation: completed in 169.734 ms, heap usage 151.653 MB -> 90.333 MB. [2026-04-14T01:11:45.068Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:11:47.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:11:49.969Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:11:52.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:11:54.161Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:11:56.228Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:11:57.538Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:11:58.868Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:11:59.537Z] 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. [2026-04-14T01:11:59.537Z] The best model improves the baseline by 14.34%. [2026-04-14T01:11:59.537Z] Top recommended movies for user id 72: [2026-04-14T01:11:59.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:11:59.537Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:11:59.537Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:11:59.537Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:11:59.537Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:11:59.537Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17415.389 ms) ====== [2026-04-14T01:11:59.537Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T01:11:59.537Z] GC before operation: completed in 189.318 ms, heap usage 305.386 MB -> 89.109 MB. [2026-04-14T01:12:02.435Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:12:05.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:12:08.203Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:12:10.227Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:12:12.295Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:12:13.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:12:16.102Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:12:16.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:12:17.350Z] 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. [2026-04-14T01:12:17.350Z] The best model improves the baseline by 14.34%. [2026-04-14T01:12:17.350Z] Top recommended movies for user id 72: [2026-04-14T01:12:17.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:12:17.350Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:12:17.350Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:12:17.350Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:12:17.350Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:12:17.350Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17468.742 ms) ====== [2026-04-14T01:12:17.350Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T01:12:17.350Z] GC before operation: completed in 177.586 ms, heap usage 175.788 MB -> 89.124 MB. [2026-04-14T01:12:20.196Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:12:23.122Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:12:26.106Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:12:30.047Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:12:31.402Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:12:33.535Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:12:35.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:12:37.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:12:37.726Z] 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. [2026-04-14T01:12:37.726Z] The best model improves the baseline by 14.34%. [2026-04-14T01:12:37.726Z] Top recommended movies for user id 72: [2026-04-14T01:12:37.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:12:37.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:12:37.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:12:37.726Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:12:37.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:12:37.726Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20508.818 ms) ====== [2026-04-14T01:12:37.726Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T01:12:38.359Z] GC before operation: completed in 179.078 ms, heap usage 201.580 MB -> 89.290 MB. [2026-04-14T01:12:41.298Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:12:44.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:12:48.566Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:12:50.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:12:52.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:12:54.747Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:12:56.153Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:12:58.275Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:12:58.275Z] 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. [2026-04-14T01:12:58.275Z] The best model improves the baseline by 14.34%. [2026-04-14T01:12:58.911Z] Top recommended movies for user id 72: [2026-04-14T01:12:58.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:12:58.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:12:58.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:12:58.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:12:58.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:12:58.911Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20453.505 ms) ====== [2026-04-14T01:12:58.911Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T01:12:58.911Z] GC before operation: completed in 200.999 ms, heap usage 401.914 MB -> 89.418 MB. [2026-04-14T01:13:01.887Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:13:04.790Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:13:07.695Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:13:10.662Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:13:12.789Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:13:14.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:13:16.237Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:13:17.555Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:13:18.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T01:13:18.197Z] The best model improves the baseline by 14.34%. [2026-04-14T01:13:18.197Z] Top recommended movies for user id 72: [2026-04-14T01:13:18.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:13:18.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:13:18.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:13:18.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:13:18.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:13:18.197Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19282.713 ms) ====== [2026-04-14T01:13:18.197Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T01:13:18.197Z] GC before operation: completed in 168.052 ms, heap usage 142.550 MB -> 89.303 MB. [2026-04-14T01:13:21.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:13:24.061Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:13:26.493Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:13:29.366Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:13:30.684Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:13:32.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:13:34.064Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:13:35.375Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:13:36.009Z] 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. [2026-04-14T01:13:36.009Z] The best model improves the baseline by 14.34%. [2026-04-14T01:13:36.009Z] Top recommended movies for user id 72: [2026-04-14T01:13:36.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:13:36.009Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:13:36.009Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:13:36.009Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:13:36.009Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:13:36.009Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17844.430 ms) ====== [2026-04-14T01:13:36.009Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T01:13:36.009Z] GC before operation: completed in 184.624 ms, heap usage 348.524 MB -> 89.532 MB. [2026-04-14T01:13:38.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:13:42.709Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:13:45.663Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:13:49.529Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:13:50.879Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:13:52.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:13:55.085Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:13:57.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:13:58.174Z] 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. [2026-04-14T01:13:58.174Z] The best model improves the baseline by 14.34%. [2026-04-14T01:13:58.174Z] Top recommended movies for user id 72: [2026-04-14T01:13:58.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:13:58.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:13:58.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:13:58.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:13:58.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:13:58.174Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21422.242 ms) ====== [2026-04-14T01:13:58.174Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T01:13:58.174Z] GC before operation: completed in 195.045 ms, heap usage 150.833 MB -> 89.202 MB. [2026-04-14T01:14:01.116Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:14:04.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:14:08.838Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:14:11.800Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:14:13.928Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:14:16.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:14:18.175Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:14:20.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:14:20.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T01:14:20.966Z] The best model improves the baseline by 14.34%. [2026-04-14T01:14:20.966Z] Top recommended movies for user id 72: [2026-04-14T01:14:20.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:14:20.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:14:20.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:14:20.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:14:20.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:14:20.966Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23217.887 ms) ====== [2026-04-14T01:14:20.966Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T01:14:21.608Z] GC before operation: completed in 181.882 ms, heap usage 104.062 MB -> 90.059 MB. [2026-04-14T01:14:24.620Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:14:28.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:14:32.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:14:35.408Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:14:37.494Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:14:39.603Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:14:41.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:14:44.636Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:14:44.636Z] 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. [2026-04-14T01:14:44.636Z] The best model improves the baseline by 14.34%. [2026-04-14T01:14:44.636Z] Top recommended movies for user id 72: [2026-04-14T01:14:44.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:14:44.636Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:14:44.636Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:14:44.636Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:14:44.636Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:14:44.636Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23461.656 ms) ====== [2026-04-14T01:14:44.636Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T01:14:45.301Z] GC before operation: completed in 217.020 ms, heap usage 104.838 MB -> 91.052 MB. [2026-04-14T01:14:48.232Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:14:51.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:14:54.092Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:14:57.010Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:14:59.201Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:15:01.276Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:15:03.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:15:04.748Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:15:05.422Z] 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. [2026-04-14T01:15:05.422Z] The best model improves the baseline by 14.34%. [2026-04-14T01:15:05.422Z] Top recommended movies for user id 72: [2026-04-14T01:15:05.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:15:05.422Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:15:05.422Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:15:05.422Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:15:05.422Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:15:05.422Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20446.746 ms) ====== [2026-04-14T01:15:06.081Z] ----------------------------------- [2026-04-14T01:15:06.081Z] renaissance-movie-lens_0_PASSED [2026-04-14T01:15:06.081Z] ----------------------------------- [2026-04-14T01:15:06.081Z] [2026-04-14T01:15:06.081Z] TEST TEARDOWN: [2026-04-14T01:15:06.081Z] Nothing to be done for teardown. [2026-04-14T01:15:06.081Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 01:15:05 2026 Epoch Time (ms): 1776129305509