[2026-01-10T05:53:21.454Z] Running test renaissance-movie-lens_0 ... [2026-01-10T05:53:21.454Z] =============================================== [2026-01-10T05:53:21.454Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 05:53:21 2026 Epoch Time (ms): 1768024401435 [2026-01-10T05:53:21.454Z] variation: NoOptions [2026-01-10T05:53:21.454Z] JVM_OPTIONS: [2026-01-10T05:53:21.454Z] { \ [2026-01-10T05:53:21.454Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T05:53:21.454Z] echo "Nothing to be done for setup."; \ [2026-01-10T05:53:21.454Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680225233488/renaissance-movie-lens_0"; \ [2026-01-10T05:53:21.454Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680225233488/renaissance-movie-lens_0"; \ [2026-01-10T05:53:21.454Z] echo ""; echo "TESTING:"; \ [2026-01-10T05:53:21.454Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680225233488/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T05:53:21.454Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680225233488/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T05:53:21.454Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T05:53:21.454Z] echo "Nothing to be done for teardown."; \ [2026-01-10T05:53:21.454Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680225233488/TestTargetResult"; [2026-01-10T05:53:21.789Z] [2026-01-10T05:53:21.789Z] TEST SETUP: [2026-01-10T05:53:21.789Z] Nothing to be done for setup. [2026-01-10T05:53:21.789Z] [2026-01-10T05:53:21.789Z] TESTING: [2026-01-10T05:53:22.129Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T05:53:22.129Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17680225233488/renaissance-movie-lens_0/launcher-055321-11703377892296345975/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T05:53:22.129Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T05:53:22.129Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T05:53:29.553Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-10T05:53:36.901Z] 05:53:35.921 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T05:53:39.918Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T05:53:40.258Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T05:53:40.258Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T05:53:40.258Z] GC before operation: completed in 177.581 ms, heap usage 529.010 MB -> 75.571 MB. [2026-01-10T05:53:49.261Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:53:54.100Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:53:57.962Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:54:01.049Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:54:03.352Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:54:05.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:54:06.740Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:54:08.437Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:54:08.778Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:54:09.116Z] The best model improves the baseline by 14.34%. [2026-01-10T05:54:09.116Z] Top recommended movies for user id 72: [2026-01-10T05:54:09.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:54:09.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:54:09.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:54:09.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:54:09.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:54:09.116Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28835.098 ms) ====== [2026-01-10T05:54:09.116Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T05:54:09.455Z] GC before operation: completed in 197.886 ms, heap usage 624.114 MB -> 95.202 MB. [2026-01-10T05:54:12.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:54:15.481Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:54:18.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:54:20.770Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:54:21.938Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:54:23.708Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:54:25.407Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:54:27.090Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:54:27.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:54:27.090Z] The best model improves the baseline by 14.34%. [2026-01-10T05:54:27.425Z] Top recommended movies for user id 72: [2026-01-10T05:54:27.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:54:27.425Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:54:27.425Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:54:27.425Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:54:27.425Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:54:27.425Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18027.682 ms) ====== [2026-01-10T05:54:27.425Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T05:54:27.425Z] GC before operation: completed in 169.600 ms, heap usage 171.791 MB -> 87.231 MB. [2026-01-10T05:54:30.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:54:32.719Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:54:35.718Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:54:38.010Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:54:39.695Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:54:41.379Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:54:43.074Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:54:44.761Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:54:45.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:54:45.179Z] The best model improves the baseline by 14.34%. [2026-01-10T05:54:45.179Z] Top recommended movies for user id 72: [2026-01-10T05:54:45.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:54:45.179Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:54:45.179Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:54:45.179Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:54:45.179Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:54:45.179Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17528.309 ms) ====== [2026-01-10T05:54:45.179Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T05:54:45.523Z] GC before operation: completed in 189.422 ms, heap usage 358.608 MB -> 88.339 MB. [2026-01-10T05:54:47.822Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:54:50.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:54:53.100Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:54:55.392Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:54:57.081Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:54:58.765Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:55:00.444Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:55:02.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:55:02.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:55:02.859Z] The best model improves the baseline by 14.34%. [2026-01-10T05:55:02.859Z] Top recommended movies for user id 72: [2026-01-10T05:55:02.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:55:02.859Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:55:02.859Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:55:02.859Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:55:02.859Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:55:02.859Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17516.329 ms) ====== [2026-01-10T05:55:02.859Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T05:55:02.859Z] GC before operation: completed in 171.975 ms, heap usage 448.506 MB -> 91.927 MB. [2026-01-10T05:55:05.850Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:55:08.929Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:55:11.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:55:14.252Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:55:15.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:55:17.638Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:55:19.320Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:55:21.009Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:55:21.345Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:55:21.346Z] The best model improves the baseline by 14.34%. [2026-01-10T05:55:21.687Z] Top recommended movies for user id 72: [2026-01-10T05:55:21.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:55:21.687Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:55:21.687Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:55:21.687Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:55:21.687Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:55:21.687Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18528.080 ms) ====== [2026-01-10T05:55:21.687Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T05:55:21.687Z] GC before operation: completed in 165.919 ms, heap usage 290.882 MB -> 88.327 MB. [2026-01-10T05:55:24.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:55:26.983Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:55:29.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:55:31.683Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:55:33.373Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:55:35.058Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:55:36.255Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:55:37.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:55:38.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:55:38.290Z] The best model improves the baseline by 14.34%. [2026-01-10T05:55:38.290Z] Top recommended movies for user id 72: [2026-01-10T05:55:38.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:55:38.290Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:55:38.290Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:55:38.290Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:55:38.290Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:55:38.290Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16629.060 ms) ====== [2026-01-10T05:55:38.290Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T05:55:38.628Z] GC before operation: completed in 173.234 ms, heap usage 442.474 MB -> 88.945 MB. [2026-01-10T05:55:41.630Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:55:43.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:55:46.980Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:55:49.278Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:55:51.017Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:55:52.193Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:55:53.959Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:55:55.675Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:55:55.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:55:55.675Z] The best model improves the baseline by 14.34%. [2026-01-10T05:55:55.675Z] Top recommended movies for user id 72: [2026-01-10T05:55:55.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:55:55.675Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:55:55.675Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:55:55.675Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:55:55.675Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:55:55.675Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17347.603 ms) ====== [2026-01-10T05:55:55.675Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T05:55:56.016Z] GC before operation: completed in 186.581 ms, heap usage 419.268 MB -> 88.874 MB. [2026-01-10T05:55:59.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:56:00.698Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:56:03.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:56:06.011Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:56:07.181Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:56:08.858Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:56:10.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:56:11.732Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:56:12.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:56:12.067Z] The best model improves the baseline by 14.34%. [2026-01-10T05:56:12.067Z] Top recommended movies for user id 72: [2026-01-10T05:56:12.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:56:12.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:56:12.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:56:12.067Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:56:12.067Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:56:12.067Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16044.351 ms) ====== [2026-01-10T05:56:12.067Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T05:56:12.404Z] GC before operation: completed in 172.183 ms, heap usage 443.334 MB -> 89.202 MB. [2026-01-10T05:56:14.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:56:17.014Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:56:19.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:56:21.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:56:22.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:56:24.451Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:56:25.617Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:56:27.318Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:56:27.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:56:27.656Z] The best model improves the baseline by 14.34%. [2026-01-10T05:56:27.656Z] Top recommended movies for user id 72: [2026-01-10T05:56:27.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:56:27.656Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:56:27.656Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:56:27.656Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:56:27.656Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:56:27.656Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15527.353 ms) ====== [2026-01-10T05:56:27.656Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T05:56:27.992Z] GC before operation: completed in 167.027 ms, heap usage 239.700 MB -> 88.781 MB. [2026-01-10T05:56:30.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:56:32.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:56:35.600Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:56:37.402Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:56:39.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:56:40.775Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:56:42.469Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:56:44.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:56:44.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:56:44.488Z] The best model improves the baseline by 14.34%. [2026-01-10T05:56:44.488Z] Top recommended movies for user id 72: [2026-01-10T05:56:44.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:56:44.488Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:56:44.488Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:56:44.488Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:56:44.488Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:56:44.488Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16627.332 ms) ====== [2026-01-10T05:56:44.488Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T05:56:44.824Z] GC before operation: completed in 163.513 ms, heap usage 419.928 MB -> 89.268 MB. [2026-01-10T05:56:47.828Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:56:50.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:56:53.154Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:56:55.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:56:56.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:56:58.416Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:57:00.712Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:57:01.931Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:57:02.266Z] 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. [2026-01-10T05:57:02.266Z] The best model improves the baseline by 14.34%. [2026-01-10T05:57:02.266Z] Top recommended movies for user id 72: [2026-01-10T05:57:02.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:57:02.266Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:57:02.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:57:02.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:57:02.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:57:02.266Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17567.489 ms) ====== [2026-01-10T05:57:02.266Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T05:57:02.606Z] GC before operation: completed in 163.803 ms, heap usage 101.449 MB -> 91.762 MB. [2026-01-10T05:57:04.906Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:57:07.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:57:09.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:57:11.804Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:57:16.144Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:57:16.144Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:57:16.144Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:57:17.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:57:17.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:57:17.643Z] The best model improves the baseline by 14.34%. [2026-01-10T05:57:17.982Z] Top recommended movies for user id 72: [2026-01-10T05:57:17.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:57:17.982Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:57:17.982Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:57:17.982Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:57:17.982Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:57:17.982Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15369.594 ms) ====== [2026-01-10T05:57:17.982Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T05:57:17.982Z] GC before operation: completed in 174.537 ms, heap usage 614.719 MB -> 92.670 MB. [2026-01-10T05:57:21.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:57:22.707Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:57:25.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:57:27.490Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:57:29.172Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:57:30.355Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:57:32.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:57:33.205Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:57:33.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:57:33.539Z] The best model improves the baseline by 14.34%. [2026-01-10T05:57:33.539Z] Top recommended movies for user id 72: [2026-01-10T05:57:33.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:57:33.539Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:57:33.539Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:57:33.539Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:57:33.539Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:57:33.539Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15670.290 ms) ====== [2026-01-10T05:57:33.539Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T05:57:33.882Z] GC before operation: completed in 166.300 ms, heap usage 239.283 MB -> 89.025 MB. [2026-01-10T05:57:36.880Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:57:38.565Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:57:41.556Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:57:43.242Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:57:44.929Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:57:46.196Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:57:47.361Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:57:49.052Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:57:49.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:57:49.052Z] The best model improves the baseline by 14.34%. [2026-01-10T05:57:49.052Z] Top recommended movies for user id 72: [2026-01-10T05:57:49.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:57:49.052Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:57:49.052Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:57:49.052Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:57:49.052Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:57:49.052Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15317.970 ms) ====== [2026-01-10T05:57:49.052Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T05:57:49.390Z] GC before operation: completed in 172.578 ms, heap usage 413.381 MB -> 89.137 MB. [2026-01-10T05:57:51.676Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:57:53.964Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:57:56.254Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:57:58.541Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:57:59.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:58:01.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:58:02.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:58:03.739Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:58:04.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:58:04.079Z] The best model improves the baseline by 14.34%. [2026-01-10T05:58:04.416Z] Top recommended movies for user id 72: [2026-01-10T05:58:04.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:58:04.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:58:04.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:58:04.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:58:04.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:58:04.416Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14940.116 ms) ====== [2026-01-10T05:58:04.416Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T05:58:04.416Z] GC before operation: completed in 166.295 ms, heap usage 419.234 MB -> 89.465 MB. [2026-01-10T05:58:06.780Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:58:09.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:58:11.361Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:58:13.681Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:58:14.857Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:58:16.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:58:17.740Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:58:18.926Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:58:19.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:58:19.265Z] The best model improves the baseline by 14.34%. [2026-01-10T05:58:19.265Z] Top recommended movies for user id 72: [2026-01-10T05:58:19.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:58:19.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:58:19.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:58:19.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:58:19.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:58:19.265Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14846.491 ms) ====== [2026-01-10T05:58:19.265Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T05:58:19.605Z] GC before operation: completed in 165.935 ms, heap usage 147.518 MB -> 88.805 MB. [2026-01-10T05:58:21.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:58:24.183Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:58:26.510Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:58:28.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:58:29.965Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:58:31.130Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:58:32.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:58:33.982Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:58:33.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:58:33.982Z] The best model improves the baseline by 14.34%. [2026-01-10T05:58:34.317Z] Top recommended movies for user id 72: [2026-01-10T05:58:34.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:58:34.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:58:34.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:58:34.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:58:34.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:58:34.317Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14894.555 ms) ====== [2026-01-10T05:58:34.317Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T05:58:34.660Z] GC before operation: completed in 163.936 ms, heap usage 226.244 MB -> 89.134 MB. [2026-01-10T05:58:36.954Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:58:39.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:58:41.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:58:43.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:58:45.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:58:46.743Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:58:47.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:58:49.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:58:49.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:58:49.506Z] The best model improves the baseline by 14.34%. [2026-01-10T05:58:49.844Z] Top recommended movies for user id 72: [2026-01-10T05:58:49.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:58:49.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:58:49.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:58:49.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:58:49.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:58:49.844Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15172.071 ms) ====== [2026-01-10T05:58:49.844Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T05:58:49.844Z] GC before operation: completed in 175.168 ms, heap usage 613.445 MB -> 92.630 MB. [2026-01-10T05:58:52.848Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:58:54.536Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:58:56.827Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:58:59.124Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:59:00.295Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:59:02.003Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:59:03.174Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:59:04.343Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:59:04.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:59:04.679Z] The best model improves the baseline by 14.34%. [2026-01-10T05:59:05.021Z] Top recommended movies for user id 72: [2026-01-10T05:59:05.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:59:05.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:59:05.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:59:05.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:59:05.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:59:05.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15015.769 ms) ====== [2026-01-10T05:59:05.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T05:59:05.021Z] GC before operation: completed in 167.866 ms, heap usage 405.421 MB -> 89.272 MB. [2026-01-10T05:59:07.324Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:59:09.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:59:11.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:59:14.272Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:59:15.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:59:16.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:59:17.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:59:19.489Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:59:19.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:59:19.489Z] The best model improves the baseline by 14.34%. [2026-01-10T05:59:19.829Z] Top recommended movies for user id 72: [2026-01-10T05:59:19.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:59:19.829Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:59:19.829Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:59:19.829Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:59:19.829Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:59:19.829Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14621.066 ms) ====== [2026-01-10T05:59:20.167Z] ----------------------------------- [2026-01-10T05:59:20.167Z] renaissance-movie-lens_0_PASSED [2026-01-10T05:59:20.167Z] ----------------------------------- [2026-01-10T05:59:20.167Z] [2026-01-10T05:59:20.167Z] TEST TEARDOWN: [2026-01-10T05:59:20.167Z] Nothing to be done for teardown. [2026-01-10T05:59:20.167Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 05:59:19 2026 Epoch Time (ms): 1768024759892