[2026-04-25T14:08:11.085Z] Running test renaissance-movie-lens_0 ... [2026-04-25T14:08:11.085Z] =============================================== [2026-04-25T14:08:11.085Z] renaissance-movie-lens_0 Start Time: Sat Apr 25 14:08:10 2026 Epoch Time (ms): 1777126090352 [2026-04-25T14:08:11.085Z] variation: NoOptions [2026-04-25T14:08:11.085Z] JVM_OPTIONS: [2026-04-25T14:08:11.085Z] { \ [2026-04-25T14:08:11.085Z] echo ""; echo "TEST SETUP:"; \ [2026-04-25T14:08:11.085Z] echo "Nothing to be done for setup."; \ [2026-04-25T14:08:11.085Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17771251517059/renaissance-movie-lens_0"; \ [2026-04-25T14:08:11.085Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17771251517059/renaissance-movie-lens_0"; \ [2026-04-25T14:08:11.085Z] echo ""; echo "TESTING:"; \ [2026-04-25T14:08:11.085Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17771251517059/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-25T14:08:11.085Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17771251517059/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-25T14:08:11.085Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-25T14:08:11.085Z] echo "Nothing to be done for teardown."; \ [2026-04-25T14:08:11.085Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17771251517059/TestTargetResult"; [2026-04-25T14:08:11.085Z] [2026-04-25T14:08:11.085Z] TEST SETUP: [2026-04-25T14:08:11.085Z] Nothing to be done for setup. [2026-04-25T14:08:11.085Z] [2026-04-25T14:08:11.085Z] TESTING: [2026-04-25T14:08:15.756Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-25T14:08:23.352Z] 14:08:21.950 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-25T14:08:24.973Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-25T14:08:25.294Z] Training: 60056, validation: 20285, test: 19854 [2026-04-25T14:08:25.294Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-25T14:08:25.294Z] GC before operation: completed in 153.664 ms, heap usage 229.224 MB -> 74.387 MB. [2026-04-25T14:08:32.488Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:08:36.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:08:39.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:08:42.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:08:45.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:08:46.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:08:48.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:08:50.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:08:50.878Z] 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. [2026-04-25T14:08:51.206Z] The best model improves the baseline by 14.52%. [2026-04-25T14:08:51.206Z] Top recommended movies for user id 72: [2026-04-25T14:08:51.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:08:51.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:08:51.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:08:51.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:08:51.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:08:51.206Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25896.460 ms) ====== [2026-04-25T14:08:51.206Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-25T14:08:51.525Z] GC before operation: completed in 181.936 ms, heap usage 370.165 MB -> 88.607 MB. [2026-04-25T14:08:55.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:08:58.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:01.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:04.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:06.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:07.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:09:09.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:09:11.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:09:11.791Z] 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. [2026-04-25T14:09:11.791Z] The best model improves the baseline by 14.52%. [2026-04-25T14:09:11.791Z] Top recommended movies for user id 72: [2026-04-25T14:09:11.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:09:11.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:09:11.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:09:11.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:09:11.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:09:11.791Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20386.456 ms) ====== [2026-04-25T14:09:11.791Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-25T14:09:12.128Z] GC before operation: completed in 196.370 ms, heap usage 392.152 MB -> 87.700 MB. [2026-04-25T14:09:15.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:09:18.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:21.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:24.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:26.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:27.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:09:30.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:09:31.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:09:31.715Z] 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. [2026-04-25T14:09:31.715Z] The best model improves the baseline by 14.52%. [2026-04-25T14:09:31.715Z] Top recommended movies for user id 72: [2026-04-25T14:09:31.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:09:31.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:09:31.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:09:31.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:09:31.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:09:31.715Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19763.935 ms) ====== [2026-04-25T14:09:31.715Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-25T14:09:32.036Z] GC before operation: completed in 171.673 ms, heap usage 201.540 MB -> 88.083 MB. [2026-04-25T14:09:34.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:09:37.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:40.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:43.684Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:45.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:46.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:09:48.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:09:50.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:09:50.512Z] 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. [2026-04-25T14:09:50.512Z] The best model improves the baseline by 14.52%. [2026-04-25T14:09:50.836Z] Top recommended movies for user id 72: [2026-04-25T14:09:50.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:09:50.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:09:50.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:09:50.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:09:50.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:09:50.836Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18701.145 ms) ====== [2026-04-25T14:09:50.836Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-25T14:09:50.836Z] GC before operation: completed in 159.832 ms, heap usage 163.024 MB -> 88.346 MB. [2026-04-25T14:09:53.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:09:56.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:59.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:02.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:04.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:06.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:08.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:10.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:10.210Z] 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. [2026-04-25T14:10:10.210Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:10.533Z] Top recommended movies for user id 72: [2026-04-25T14:10:10.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:10.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:10.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:10.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:10.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:10.533Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19499.084 ms) ====== [2026-04-25T14:10:10.533Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-25T14:10:10.533Z] GC before operation: completed in 183.894 ms, heap usage 163.787 MB -> 88.275 MB. [2026-04-25T14:10:13.456Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:16.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:10:19.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:21.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:23.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:24.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:27.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:28.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:28.717Z] 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. [2026-04-25T14:10:28.717Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:29.036Z] Top recommended movies for user id 72: [2026-04-25T14:10:29.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:29.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:29.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:29.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:29.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:29.036Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18422.875 ms) ====== [2026-04-25T14:10:29.036Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-25T14:10:29.036Z] GC before operation: completed in 182.113 ms, heap usage 198.417 MB -> 88.662 MB. [2026-04-25T14:10:31.969Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:34.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:10:37.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:39.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:40.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:42.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:43.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:45.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:45.626Z] 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. [2026-04-25T14:10:45.626Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:45.627Z] Top recommended movies for user id 72: [2026-04-25T14:10:45.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:45.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:45.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:45.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:45.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:45.627Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16518.857 ms) ====== [2026-04-25T14:10:45.627Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-25T14:10:45.949Z] GC before operation: completed in 162.146 ms, heap usage 397.328 MB -> 88.846 MB. [2026-04-25T14:10:48.855Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:51.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:10:53.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:56.898Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:58.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:59.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:01.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:02.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:02.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:11:02.982Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:03.301Z] Top recommended movies for user id 72: [2026-04-25T14:11:03.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:03.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:03.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:03.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:03.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:03.301Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17406.384 ms) ====== [2026-04-25T14:11:03.301Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-25T14:11:03.301Z] GC before operation: completed in 158.966 ms, heap usage 107.323 MB -> 88.691 MB. [2026-04-25T14:11:07.186Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:11:08.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:11.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:14.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:15.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:17.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:18.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:20.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:20.947Z] 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. [2026-04-25T14:11:20.947Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:21.265Z] Top recommended movies for user id 72: [2026-04-25T14:11:21.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:21.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:21.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:21.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:21.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:21.265Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17765.141 ms) ====== [2026-04-25T14:11:21.265Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-25T14:11:21.265Z] GC before operation: completed in 158.182 ms, heap usage 213.537 MB -> 88.638 MB. [2026-04-25T14:11:24.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:11:27.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:29.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:33.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:34.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:35.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:38.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:39.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:39.492Z] 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. [2026-04-25T14:11:39.492Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:39.813Z] Top recommended movies for user id 72: [2026-04-25T14:11:39.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:39.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:39.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:39.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:39.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:39.813Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18309.684 ms) ====== [2026-04-25T14:11:39.813Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-25T14:11:39.813Z] GC before operation: completed in 180.277 ms, heap usage 353.015 MB -> 89.053 MB. [2026-04-25T14:11:42.734Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:11:45.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:48.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:50.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:52.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:54.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:56.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:57.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:57.831Z] 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. [2026-04-25T14:11:57.831Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:57.831Z] Top recommended movies for user id 72: [2026-04-25T14:11:57.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:57.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:57.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:57.831Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:57.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:57.831Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18117.560 ms) ====== [2026-04-25T14:11:57.831Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-25T14:11:58.150Z] GC before operation: completed in 179.299 ms, heap usage 352.225 MB -> 88.764 MB. [2026-04-25T14:12:01.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:03.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:06.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:09.101Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:12:10.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:12:11.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:12:13.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:12:15.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:12:15.487Z] 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. [2026-04-25T14:12:15.487Z] The best model improves the baseline by 14.52%. [2026-04-25T14:12:15.487Z] Top recommended movies for user id 72: [2026-04-25T14:12:15.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:12:15.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:12:15.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:12:15.487Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:12:15.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:12:15.487Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17473.063 ms) ====== [2026-04-25T14:12:15.487Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-25T14:12:15.807Z] GC before operation: completed in 154.365 ms, heap usage 204.235 MB -> 88.823 MB. [2026-04-25T14:12:18.707Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:20.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:23.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:26.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:12:27.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:12:29.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:12:31.113Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:12:32.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:12:32.781Z] 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. [2026-04-25T14:12:32.781Z] The best model improves the baseline by 14.52%. [2026-04-25T14:12:33.100Z] Top recommended movies for user id 72: [2026-04-25T14:12:33.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:12:33.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:12:33.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:12:33.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:12:33.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:12:33.100Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17253.131 ms) ====== [2026-04-25T14:12:33.100Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-25T14:12:33.100Z] GC before operation: completed in 158.389 ms, heap usage 487.352 MB -> 89.255 MB. [2026-04-25T14:12:36.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:38.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:41.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:44.029Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:12:45.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:12:47.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:12:48.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:12:50.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:12:50.538Z] 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. [2026-04-25T14:12:50.538Z] The best model improves the baseline by 14.52%. [2026-04-25T14:12:50.538Z] Top recommended movies for user id 72: [2026-04-25T14:12:50.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:12:50.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:12:50.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:12:50.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:12:50.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:12:50.538Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17459.060 ms) ====== [2026-04-25T14:12:50.538Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-25T14:12:50.859Z] GC before operation: completed in 164.495 ms, heap usage 493.852 MB -> 89.137 MB. [2026-04-25T14:12:53.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:56.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:58.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:01.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:02.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:04.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:06.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:07.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:08.199Z] 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. [2026-04-25T14:13:08.199Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:08.199Z] Top recommended movies for user id 72: [2026-04-25T14:13:08.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:08.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:08.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:08.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:08.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:08.199Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17527.914 ms) ====== [2026-04-25T14:13:08.199Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-25T14:13:08.523Z] GC before operation: completed in 163.216 ms, heap usage 440.246 MB -> 89.248 MB. [2026-04-25T14:13:11.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:13:14.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:13:17.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:19.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:21.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:22.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:24.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:26.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:26.033Z] 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. [2026-04-25T14:13:26.033Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:26.356Z] Top recommended movies for user id 72: [2026-04-25T14:13:26.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:26.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:26.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:26.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:26.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:26.356Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17734.369 ms) ====== [2026-04-25T14:13:26.356Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-25T14:13:26.356Z] GC before operation: completed in 171.109 ms, heap usage 137.208 MB -> 88.722 MB. [2026-04-25T14:13:29.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:13:32.184Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:13:34.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:37.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:38.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:40.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:41.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:43.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:43.667Z] 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. [2026-04-25T14:13:43.667Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:43.988Z] Top recommended movies for user id 72: [2026-04-25T14:13:43.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:43.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:43.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:43.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:43.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:43.988Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17462.961 ms) ====== [2026-04-25T14:13:43.988Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-25T14:13:43.988Z] GC before operation: completed in 161.006 ms, heap usage 145.750 MB -> 88.790 MB. [2026-04-25T14:13:46.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:13:49.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:13:52.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:55.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:56.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:57.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:59.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:14:01.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:14:01.354Z] 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. [2026-04-25T14:14:01.354Z] The best model improves the baseline by 14.52%. [2026-04-25T14:14:01.354Z] Top recommended movies for user id 72: [2026-04-25T14:14:01.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:14:01.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:14:01.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:14:01.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:14:01.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:14:01.354Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17421.520 ms) ====== [2026-04-25T14:14:01.354Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-25T14:14:01.675Z] GC before operation: completed in 176.750 ms, heap usage 362.221 MB -> 88.864 MB. [2026-04-25T14:14:04.597Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:14:06.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:14:09.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:14:11.952Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:14:13.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:14:15.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:14:16.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:14:18.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:14:18.790Z] 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. [2026-04-25T14:14:18.790Z] The best model improves the baseline by 14.52%. [2026-04-25T14:14:18.790Z] Top recommended movies for user id 72: [2026-04-25T14:14:18.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:14:18.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:14:18.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:14:18.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:14:18.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:14:18.790Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17275.807 ms) ====== [2026-04-25T14:14:18.790Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-25T14:14:19.112Z] GC before operation: completed in 163.001 ms, heap usage 203.712 MB -> 88.872 MB. [2026-04-25T14:14:22.020Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:14:24.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:14:27.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:14:30.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:14:31.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:14:32.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:14:34.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:14:36.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:14:36.455Z] 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. [2026-04-25T14:14:36.455Z] The best model improves the baseline by 14.52%. [2026-04-25T14:14:36.455Z] Top recommended movies for user id 72: [2026-04-25T14:14:36.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:14:36.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:14:36.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:14:36.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:14:36.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:14:36.455Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17533.514 ms) ====== [2026-04-25T14:14:37.144Z] ----------------------------------- [2026-04-25T14:14:37.144Z] renaissance-movie-lens_0_PASSED [2026-04-25T14:14:37.144Z] ----------------------------------- [2026-04-25T14:14:37.144Z] [2026-04-25T14:14:37.144Z] TEST TEARDOWN: [2026-04-25T14:14:37.144Z] Nothing to be done for teardown. [2026-04-25T14:14:37.144Z] renaissance-movie-lens_0 Finish Time: Sat Apr 25 14:14:37 2026 Epoch Time (ms): 1777126477025