[2026-02-20T00:25:21.220Z] Running test renaissance-movie-lens_0 ... [2026-02-20T00:25:21.220Z] =============================================== [2026-02-20T00:25:21.220Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 00:25:20 2026 Epoch Time (ms): 1771547120835 [2026-02-20T00:25:21.220Z] variation: NoOptions [2026-02-20T00:25:21.220Z] JVM_OPTIONS: [2026-02-20T00:25:21.220Z] { \ [2026-02-20T00:25:21.220Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T00:25:21.220Z] echo "Nothing to be done for setup."; \ [2026-02-20T00:25:21.220Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17715463247167/renaissance-movie-lens_0"; \ [2026-02-20T00:25:21.220Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17715463247167/renaissance-movie-lens_0"; \ [2026-02-20T00:25:21.220Z] echo ""; echo "TESTING:"; \ [2026-02-20T00:25:21.220Z] "/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_17715463247167/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T00:25:21.220Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17715463247167/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T00:25:21.220Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T00:25:21.220Z] echo "Nothing to be done for teardown."; \ [2026-02-20T00:25:21.220Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17715463247167/TestTargetResult"; [2026-02-20T00:25:21.220Z] [2026-02-20T00:25:21.220Z] TEST SETUP: [2026-02-20T00:25:21.220Z] Nothing to be done for setup. [2026-02-20T00:25:21.220Z] [2026-02-20T00:25:21.220Z] TESTING: [2026-02-20T00:25:21.549Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T00:25:21.549Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17715463247167/renaissance-movie-lens_0/launcher-002520-12864637881907302718/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T00:25:21.549Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T00:25:21.549Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T00:25:25.324Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T00:25:31.284Z] 00:25:31.166 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T00:25:33.539Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T00:25:34.252Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T00:25:34.252Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T00:25:34.252Z] GC before operation: completed in 138.333 ms, heap usage 374.081 MB -> 75.789 MB. [2026-02-20T00:25:40.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:25:43.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:25:46.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:25:49.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:25:50.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:25:52.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:25:56.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:25:57.966Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:25:58.296Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:25:58.296Z] The best model improves the baseline by 14.52%. [2026-02-20T00:25:58.625Z] Top recommended movies for user id 72: [2026-02-20T00:25:58.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:25:58.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:25:58.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:25:58.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:25:58.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:25:58.625Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24375.263 ms) ====== [2026-02-20T00:25:58.625Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T00:25:58.625Z] GC before operation: completed in 181.835 ms, heap usage 609.983 MB -> 94.470 MB. [2026-02-20T00:26:01.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:26:03.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:26:06.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:26:07.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:26:08.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:26:10.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:26:11.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:26:12.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:26:13.261Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:26:13.261Z] The best model improves the baseline by 14.52%. [2026-02-20T00:26:13.261Z] Top recommended movies for user id 72: [2026-02-20T00:26:13.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:26:13.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:26:13.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:26:13.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:26:13.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:26:13.261Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14574.179 ms) ====== [2026-02-20T00:26:13.261Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T00:26:13.593Z] GC before operation: completed in 154.701 ms, heap usage 537.854 MB -> 92.152 MB. [2026-02-20T00:26:15.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:26:18.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:26:19.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:26:22.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:26:23.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:26:24.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:26:26.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:26:26.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:26:27.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:26:27.078Z] The best model improves the baseline by 14.52%. [2026-02-20T00:26:27.407Z] Top recommended movies for user id 72: [2026-02-20T00:26:27.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:26:27.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:26:27.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:26:27.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:26:27.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:26:27.407Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13747.888 ms) ====== [2026-02-20T00:26:27.407Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T00:26:27.407Z] GC before operation: completed in 154.641 ms, heap usage 275.395 MB -> 89.121 MB. [2026-02-20T00:26:29.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:26:31.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:26:33.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:26:35.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:26:36.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:26:38.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:26:39.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:26:40.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:26:40.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:26:40.388Z] The best model improves the baseline by 14.52%. [2026-02-20T00:26:40.717Z] Top recommended movies for user id 72: [2026-02-20T00:26:40.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:26:40.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:26:40.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:26:40.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:26:40.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:26:40.717Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13166.095 ms) ====== [2026-02-20T00:26:40.717Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T00:26:40.717Z] GC before operation: completed in 122.302 ms, heap usage 223.033 MB -> 89.571 MB. [2026-02-20T00:26:42.973Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:26:44.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:26:47.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:26:48.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:26:50.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:26:51.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:26:52.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:26:54.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:26:54.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:26:54.377Z] The best model improves the baseline by 14.52%. [2026-02-20T00:26:54.709Z] Top recommended movies for user id 72: [2026-02-20T00:26:54.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:26:54.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:26:54.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:26:54.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:26:54.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:26:54.709Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13943.973 ms) ====== [2026-02-20T00:26:54.709Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T00:26:54.709Z] GC before operation: completed in 139.897 ms, heap usage 298.758 MB -> 89.552 MB. [2026-02-20T00:26:56.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:26:59.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:27:00.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:27:03.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:27:04.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:27:05.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:27:06.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:27:07.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:27:08.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:27:08.084Z] The best model improves the baseline by 14.52%. [2026-02-20T00:27:08.413Z] Top recommended movies for user id 72: [2026-02-20T00:27:08.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:27:08.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:27:08.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:27:08.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:27:08.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:27:08.413Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13502.782 ms) ====== [2026-02-20T00:27:08.413Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T00:27:08.413Z] GC before operation: completed in 116.697 ms, heap usage 179.581 MB -> 89.706 MB. [2026-02-20T00:27:10.672Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:27:12.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:27:14.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:27:16.845Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:27:17.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:27:19.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:27:20.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:27:21.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:27:21.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:27:21.851Z] The best model improves the baseline by 14.52%. [2026-02-20T00:27:21.851Z] Top recommended movies for user id 72: [2026-02-20T00:27:21.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:27:21.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:27:21.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:27:21.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:27:21.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:27:21.851Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13496.728 ms) ====== [2026-02-20T00:27:21.851Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T00:27:22.180Z] GC before operation: completed in 137.113 ms, heap usage 222.493 MB -> 89.719 MB. [2026-02-20T00:27:23.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:27:26.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:27:27.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:27:29.418Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:27:30.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:27:31.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:27:32.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:27:34.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:27:34.569Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:27:34.569Z] The best model improves the baseline by 14.52%. [2026-02-20T00:27:34.569Z] Top recommended movies for user id 72: [2026-02-20T00:27:34.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:27:34.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:27:34.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:27:34.569Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:27:34.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:27:34.569Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12576.223 ms) ====== [2026-02-20T00:27:34.569Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T00:27:34.898Z] GC before operation: completed in 130.849 ms, heap usage 182.226 MB -> 89.843 MB. [2026-02-20T00:27:36.566Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:27:38.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:27:41.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:27:42.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:27:43.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:27:45.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:27:46.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:27:47.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:27:47.830Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:27:47.830Z] The best model improves the baseline by 14.52%. [2026-02-20T00:27:47.830Z] Top recommended movies for user id 72: [2026-02-20T00:27:47.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:27:47.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:27:47.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:27:47.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:27:47.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:27:47.830Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13235.945 ms) ====== [2026-02-20T00:27:47.830Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T00:27:48.160Z] GC before operation: completed in 115.974 ms, heap usage 360.399 MB -> 89.909 MB. [2026-02-20T00:27:49.834Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:27:52.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:27:54.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:27:56.014Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:27:56.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:27:57.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:27:59.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:28:00.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:28:00.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:28:00.692Z] The best model improves the baseline by 14.52%. [2026-02-20T00:28:00.692Z] Top recommended movies for user id 72: [2026-02-20T00:28:00.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:28:00.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:28:00.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:28:00.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:28:00.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:28:00.692Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12555.786 ms) ====== [2026-02-20T00:28:00.692Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T00:28:00.692Z] GC before operation: completed in 151.192 ms, heap usage 479.834 MB -> 90.327 MB. [2026-02-20T00:28:03.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:28:04.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:28:06.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:28:08.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:28:09.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:28:10.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:28:11.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:28:12.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:28:12.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:28:12.922Z] The best model improves the baseline by 14.52%. [2026-02-20T00:28:12.922Z] Top recommended movies for user id 72: [2026-02-20T00:28:12.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:28:12.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:28:12.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:28:12.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:28:12.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:28:12.922Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12234.298 ms) ====== [2026-02-20T00:28:12.922Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T00:28:13.252Z] GC before operation: completed in 123.272 ms, heap usage 285.007 MB -> 89.757 MB. [2026-02-20T00:28:14.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:28:16.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:28:18.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:28:20.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:28:21.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:28:22.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:28:23.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:28:24.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:28:24.997Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:28:24.997Z] The best model improves the baseline by 14.52%. [2026-02-20T00:28:24.997Z] Top recommended movies for user id 72: [2026-02-20T00:28:24.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:28:24.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:28:24.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:28:24.997Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:28:24.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:28:24.997Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11798.387 ms) ====== [2026-02-20T00:28:24.997Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T00:28:24.997Z] GC before operation: completed in 138.266 ms, heap usage 925.874 MB -> 94.594 MB. [2026-02-20T00:28:27.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:28:28.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:28:30.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:28:32.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:28:33.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:28:34.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:28:36.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:28:37.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:28:37.408Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:28:37.408Z] The best model improves the baseline by 14.52%. [2026-02-20T00:28:37.738Z] Top recommended movies for user id 72: [2026-02-20T00:28:37.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:28:37.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:28:37.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:28:37.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:28:37.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:28:37.738Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12521.267 ms) ====== [2026-02-20T00:28:37.738Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T00:28:37.738Z] GC before operation: completed in 111.908 ms, heap usage 449.591 MB -> 90.448 MB. [2026-02-20T00:28:40.013Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:28:41.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:28:43.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:28:45.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:28:46.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:28:47.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:28:49.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:28:50.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:28:50.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:28:50.557Z] The best model improves the baseline by 14.52%. [2026-02-20T00:28:50.557Z] Top recommended movies for user id 72: [2026-02-20T00:28:50.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:28:50.557Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:28:50.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:28:50.557Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:28:50.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:28:50.557Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12960.205 ms) ====== [2026-02-20T00:28:50.557Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T00:28:50.887Z] GC before operation: completed in 116.839 ms, heap usage 341.287 MB -> 89.935 MB. [2026-02-20T00:28:53.145Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:28:54.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:28:56.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:28:58.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:28:59.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:29:01.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:29:02.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:29:03.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:29:03.431Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:29:03.431Z] The best model improves the baseline by 14.52%. [2026-02-20T00:29:03.431Z] Top recommended movies for user id 72: [2026-02-20T00:29:03.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:29:03.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:29:03.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:29:03.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:29:03.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:29:03.431Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12712.337 ms) ====== [2026-02-20T00:29:03.431Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T00:29:03.760Z] GC before operation: completed in 121.429 ms, heap usage 335.273 MB -> 90.174 MB. [2026-02-20T00:29:05.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:29:07.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:29:09.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:29:11.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:29:12.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:29:13.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:29:15.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:29:16.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:29:16.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:29:16.288Z] The best model improves the baseline by 14.52%. [2026-02-20T00:29:16.288Z] Top recommended movies for user id 72: [2026-02-20T00:29:16.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:29:16.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:29:16.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:29:16.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:29:16.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:29:16.288Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12783.343 ms) ====== [2026-02-20T00:29:16.288Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T00:29:16.727Z] GC before operation: completed in 123.013 ms, heap usage 372.853 MB -> 90.192 MB. [2026-02-20T00:29:18.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:29:20.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:29:22.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:29:24.092Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:29:25.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:29:26.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:29:27.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:29:28.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:29:28.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:29:29.027Z] The best model improves the baseline by 14.52%. [2026-02-20T00:29:29.027Z] Top recommended movies for user id 72: [2026-02-20T00:29:29.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:29:29.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:29:29.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:29:29.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:29:29.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:29:29.027Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12420.798 ms) ====== [2026-02-20T00:29:29.027Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T00:29:29.027Z] GC before operation: completed in 136.560 ms, heap usage 259.833 MB -> 90.044 MB. [2026-02-20T00:29:31.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:29:32.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:29:34.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:29:36.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:29:37.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:29:38.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:29:39.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:29:40.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:29:41.259Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:29:41.259Z] The best model improves the baseline by 14.52%. [2026-02-20T00:29:41.259Z] Top recommended movies for user id 72: [2026-02-20T00:29:41.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:29:41.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:29:41.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:29:41.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:29:41.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:29:41.259Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12117.297 ms) ====== [2026-02-20T00:29:41.259Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T00:29:41.259Z] GC before operation: completed in 132.978 ms, heap usage 543.546 MB -> 93.490 MB. [2026-02-20T00:29:43.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:29:45.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:29:46.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:29:48.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:29:49.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:29:50.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:29:51.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:29:52.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:29:52.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:29:52.995Z] The best model improves the baseline by 14.52%. [2026-02-20T00:29:52.995Z] Top recommended movies for user id 72: [2026-02-20T00:29:52.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:29:52.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:29:52.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:29:52.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:29:52.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:29:52.995Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11785.886 ms) ====== [2026-02-20T00:29:52.995Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:29:53.333Z] GC before operation: completed in 129.740 ms, heap usage 197.658 MB -> 89.985 MB. [2026-02-20T00:29:55.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:29:56.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:29:59.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:30:00.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:30:01.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:30:02.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:30:03.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:30:04.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:30:04.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:30:04.917Z] The best model improves the baseline by 14.52%. [2026-02-20T00:30:04.917Z] Top recommended movies for user id 72: [2026-02-20T00:30:04.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:30:04.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:30:04.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:30:04.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:30:04.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:30:04.917Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11641.719 ms) ====== [2026-02-20T00:30:05.629Z] ----------------------------------- [2026-02-20T00:30:05.629Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:30:05.629Z] ----------------------------------- [2026-02-20T00:30:05.629Z] [2026-02-20T00:30:05.629Z] TEST TEARDOWN: [2026-02-20T00:30:05.629Z] Nothing to be done for teardown. [2026-02-20T00:30:05.629Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 00:30:05 2026 Epoch Time (ms): 1771547405454