[2026-02-25T22:26:29.726Z] Running test renaissance-movie-lens_0 ... [2026-02-25T22:26:29.726Z] =============================================== [2026-02-25T22:26:30.671Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 22:26:29 2026 Epoch Time (ms): 1772058389635 [2026-02-25T22:26:30.671Z] variation: NoOptions [2026-02-25T22:26:30.671Z] JVM_OPTIONS: [2026-02-25T22:26:30.671Z] { \ [2026-02-25T22:26:30.671Z] echo ""; echo "TEST SETUP:"; \ [2026-02-25T22:26:30.671Z] echo "Nothing to be done for setup."; \ [2026-02-25T22:26:30.671Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17720569711869/renaissance-movie-lens_0"; \ [2026-02-25T22:26:30.671Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17720569711869/renaissance-movie-lens_0"; \ [2026-02-25T22:26:30.671Z] echo ""; echo "TESTING:"; \ [2026-02-25T22:26:30.671Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17720569711869/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-25T22:26:30.671Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17720569711869/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-25T22:26:30.671Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-25T22:26:30.671Z] echo "Nothing to be done for teardown."; \ [2026-02-25T22:26:30.671Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17720569711869/TestTargetResult"; [2026-02-25T22:26:30.671Z] [2026-02-25T22:26:30.671Z] TEST SETUP: [2026-02-25T22:26:30.671Z] Nothing to be done for setup. [2026-02-25T22:26:30.671Z] [2026-02-25T22:26:30.671Z] TESTING: [2026-02-25T22:26:38.750Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-25T22:26:50.197Z] 22:26:48.854 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-25T22:26:53.202Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-25T22:26:53.202Z] Training: 60056, validation: 20285, test: 19854 [2026-02-25T22:26:53.202Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-25T22:26:54.156Z] GC before operation: completed in 180.541 ms, heap usage 200.509 MB -> 75.725 MB. [2026-02-25T22:27:03.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:27:08.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:27:13.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:27:17.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:27:19.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:27:22.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:27:24.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:27:27.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:27:27.194Z] 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. [2026-02-25T22:27:27.194Z] The best model improves the baseline by 14.52%. [2026-02-25T22:27:27.194Z] Top recommended movies for user id 72: [2026-02-25T22:27:27.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:27:27.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:27:27.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:27:27.194Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:27:27.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:27:27.194Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33826.954 ms) ====== [2026-02-25T22:27:27.194Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-25T22:27:28.141Z] GC before operation: completed in 178.214 ms, heap usage 535.066 MB -> 92.403 MB. [2026-02-25T22:27:32.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:27:36.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:27:39.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:27:43.543Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:27:45.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:27:48.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:27:50.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:27:52.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:27:53.314Z] 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. [2026-02-25T22:27:53.314Z] The best model improves the baseline by 14.52%. [2026-02-25T22:27:53.314Z] Top recommended movies for user id 72: [2026-02-25T22:27:53.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:27:53.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:27:53.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:27:53.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:27:53.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:27:53.314Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25699.555 ms) ====== [2026-02-25T22:27:53.314Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-25T22:27:53.314Z] GC before operation: completed in 170.075 ms, heap usage 780.143 MB -> 92.757 MB. [2026-02-25T22:27:57.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:28:01.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:28:04.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:28:08.980Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:28:10.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:28:12.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:28:14.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:28:17.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:28:17.899Z] 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. [2026-02-25T22:28:17.899Z] The best model improves the baseline by 14.52%. [2026-02-25T22:28:18.859Z] Top recommended movies for user id 72: [2026-02-25T22:28:18.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:28:18.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:28:18.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:28:18.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:28:18.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:28:18.859Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24894.189 ms) ====== [2026-02-25T22:28:18.859Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-25T22:28:18.859Z] GC before operation: completed in 177.918 ms, heap usage 392.385 MB -> 90.728 MB. [2026-02-25T22:28:23.061Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:28:27.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:28:30.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:28:33.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:28:35.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:28:37.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:28:39.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:28:41.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:28:41.736Z] 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. [2026-02-25T22:28:41.736Z] The best model improves the baseline by 14.52%. [2026-02-25T22:28:41.736Z] Top recommended movies for user id 72: [2026-02-25T22:28:41.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:28:41.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:28:41.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:28:41.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:28:41.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:28:41.736Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23431.278 ms) ====== [2026-02-25T22:28:41.736Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-25T22:28:42.694Z] GC before operation: completed in 167.762 ms, heap usage 291.111 MB -> 89.666 MB. [2026-02-25T22:28:45.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:28:49.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:28:52.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:28:55.992Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:28:57.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:29:00.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:29:02.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:29:05.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:29:05.003Z] 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. [2026-02-25T22:29:05.003Z] The best model improves the baseline by 14.52%. [2026-02-25T22:29:05.003Z] Top recommended movies for user id 72: [2026-02-25T22:29:05.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:29:05.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:29:05.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:29:05.003Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:29:05.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:29:05.003Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22880.784 ms) ====== [2026-02-25T22:29:05.003Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-25T22:29:05.003Z] GC before operation: completed in 192.509 ms, heap usage 807.520 MB -> 93.768 MB. [2026-02-25T22:29:09.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:29:13.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:29:16.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:29:19.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:29:21.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:29:23.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:29:25.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:29:27.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:29:27.291Z] 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. [2026-02-25T22:29:27.291Z] The best model improves the baseline by 14.52%. [2026-02-25T22:29:28.248Z] Top recommended movies for user id 72: [2026-02-25T22:29:28.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:29:28.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:29:28.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:29:28.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:29:28.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:29:28.248Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22625.626 ms) ====== [2026-02-25T22:29:28.248Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-25T22:29:28.248Z] GC before operation: completed in 164.211 ms, heap usage 311.841 MB -> 91.227 MB. [2026-02-25T22:29:32.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:29:35.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:29:38.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:29:41.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:29:44.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:29:45.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:29:47.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:29:49.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:29:49.130Z] 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. [2026-02-25T22:29:49.130Z] The best model improves the baseline by 14.52%. [2026-02-25T22:29:50.087Z] Top recommended movies for user id 72: [2026-02-25T22:29:50.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:29:50.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:29:50.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:29:50.087Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:29:50.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:29:50.087Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21623.817 ms) ====== [2026-02-25T22:29:50.087Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-25T22:29:50.087Z] GC before operation: completed in 167.793 ms, heap usage 240.403 MB -> 89.786 MB. [2026-02-25T22:29:53.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:29:57.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:30:01.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:30:04.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:30:06.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:30:08.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:30:10.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:30:12.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:30:12.564Z] 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. [2026-02-25T22:30:12.564Z] The best model improves the baseline by 14.52%. [2026-02-25T22:30:12.564Z] Top recommended movies for user id 72: [2026-02-25T22:30:12.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:30:12.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:30:12.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:30:12.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:30:12.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:30:12.565Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23019.138 ms) ====== [2026-02-25T22:30:12.565Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-25T22:30:13.522Z] GC before operation: completed in 169.620 ms, heap usage 877.447 MB -> 96.979 MB. [2026-02-25T22:30:16.597Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:30:19.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:30:22.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:30:26.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:30:27.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:30:29.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:30:31.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:30:33.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:30:33.180Z] 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. [2026-02-25T22:30:33.180Z] The best model improves the baseline by 14.52%. [2026-02-25T22:30:34.139Z] Top recommended movies for user id 72: [2026-02-25T22:30:34.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:30:34.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:30:34.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:30:34.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:30:34.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:30:34.139Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20643.858 ms) ====== [2026-02-25T22:30:34.139Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-25T22:30:34.139Z] GC before operation: completed in 171.011 ms, heap usage 200.275 MB -> 93.437 MB. [2026-02-25T22:30:37.169Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:30:40.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:30:44.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:30:46.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:30:48.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:30:50.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:30:52.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:30:54.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:30:54.223Z] 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. [2026-02-25T22:30:54.223Z] The best model improves the baseline by 14.52%. [2026-02-25T22:30:55.887Z] Top recommended movies for user id 72: [2026-02-25T22:30:55.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:30:55.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:30:55.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:30:55.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:30:55.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:30:55.887Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20801.534 ms) ====== [2026-02-25T22:30:55.887Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-25T22:30:55.887Z] GC before operation: completed in 170.993 ms, heap usage 562.631 MB -> 93.863 MB. [2026-02-25T22:30:58.923Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:31:01.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:31:05.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:31:08.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:31:10.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:31:12.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:31:13.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:31:15.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:31:15.952Z] 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. [2026-02-25T22:31:15.952Z] The best model improves the baseline by 14.52%. [2026-02-25T22:31:15.952Z] Top recommended movies for user id 72: [2026-02-25T22:31:15.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:31:15.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:31:15.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:31:15.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:31:15.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:31:15.952Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21188.254 ms) ====== [2026-02-25T22:31:15.952Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-25T22:31:15.952Z] GC before operation: completed in 175.442 ms, heap usage 721.921 MB -> 93.789 MB. [2026-02-25T22:31:20.129Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:31:23.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:31:26.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:31:29.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:31:31.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:31:33.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:31:35.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:31:37.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:31:38.100Z] 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. [2026-02-25T22:31:38.100Z] The best model improves the baseline by 14.52%. [2026-02-25T22:31:38.100Z] Top recommended movies for user id 72: [2026-02-25T22:31:38.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:31:38.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:31:38.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:31:38.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:31:38.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:31:38.100Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21603.394 ms) ====== [2026-02-25T22:31:38.100Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-25T22:31:38.100Z] GC before operation: completed in 170.261 ms, heap usage 581.278 MB -> 93.948 MB. [2026-02-25T22:31:41.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:31:45.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:31:48.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:31:51.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:31:53.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:31:55.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:31:57.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:31:59.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:31:59.235Z] 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. [2026-02-25T22:31:59.235Z] The best model improves the baseline by 14.52%. [2026-02-25T22:31:59.235Z] Top recommended movies for user id 72: [2026-02-25T22:31:59.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:31:59.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:31:59.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:31:59.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:31:59.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:31:59.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21253.528 ms) ====== [2026-02-25T22:31:59.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-25T22:31:59.235Z] GC before operation: completed in 170.696 ms, heap usage 759.386 MB -> 98.923 MB. [2026-02-25T22:32:03.417Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:32:05.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:32:08.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:32:12.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:32:13.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:32:15.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:32:17.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:32:19.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:32:19.880Z] 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. [2026-02-25T22:32:20.839Z] The best model improves the baseline by 14.52%. [2026-02-25T22:32:20.839Z] Top recommended movies for user id 72: [2026-02-25T22:32:20.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:32:20.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:32:20.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:32:20.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:32:20.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:32:20.839Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21117.843 ms) ====== [2026-02-25T22:32:20.839Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-25T22:32:20.839Z] GC before operation: completed in 165.208 ms, heap usage 138.677 MB -> 93.232 MB. [2026-02-25T22:32:25.018Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:32:28.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:32:31.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:32:35.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:32:36.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:32:38.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:32:40.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:32:42.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:32:42.125Z] 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. [2026-02-25T22:32:42.125Z] The best model improves the baseline by 14.52%. [2026-02-25T22:32:42.125Z] Top recommended movies for user id 72: [2026-02-25T22:32:42.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:32:42.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:32:42.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:32:42.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:32:42.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:32:42.125Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21815.162 ms) ====== [2026-02-25T22:32:42.126Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-25T22:32:43.084Z] GC before operation: completed in 171.081 ms, heap usage 178.961 MB -> 96.007 MB. [2026-02-25T22:32:46.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:32:49.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:32:52.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:32:55.411Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:32:56.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:32:58.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:33:01.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:33:02.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:33:03.304Z] 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. [2026-02-25T22:33:03.304Z] The best model improves the baseline by 14.52%. [2026-02-25T22:33:03.304Z] Top recommended movies for user id 72: [2026-02-25T22:33:03.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:33:03.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:33:03.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:33:03.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:33:03.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:33:03.304Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20475.665 ms) ====== [2026-02-25T22:33:03.304Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-25T22:33:03.304Z] GC before operation: completed in 168.659 ms, heap usage 282.029 MB -> 91.489 MB. [2026-02-25T22:33:06.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:33:10.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:33:12.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:33:15.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:33:17.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:33:19.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:33:21.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:33:22.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:33:22.967Z] 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. [2026-02-25T22:33:22.967Z] The best model improves the baseline by 14.52%. [2026-02-25T22:33:22.967Z] Top recommended movies for user id 72: [2026-02-25T22:33:22.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:33:22.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:33:22.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:33:22.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:33:22.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:33:22.967Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19732.262 ms) ====== [2026-02-25T22:33:22.967Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-25T22:33:22.967Z] GC before operation: completed in 170.701 ms, heap usage 705.318 MB -> 94.188 MB. [2026-02-25T22:33:27.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:33:30.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:33:33.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:33:36.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:33:38.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:33:40.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:33:42.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:33:43.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:33:44.074Z] 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. [2026-02-25T22:33:44.074Z] The best model improves the baseline by 14.52%. [2026-02-25T22:33:44.074Z] Top recommended movies for user id 72: [2026-02-25T22:33:44.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:33:44.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:33:44.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:33:44.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:33:44.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:33:44.074Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20775.939 ms) ====== [2026-02-25T22:33:44.075Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-25T22:33:44.075Z] GC before operation: completed in 166.386 ms, heap usage 574.516 MB -> 93.716 MB. [2026-02-25T22:33:47.103Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:33:52.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:33:53.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:33:56.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:33:58.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:34:00.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:34:02.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:34:03.031Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:34:04.156Z] 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. [2026-02-25T22:34:04.156Z] The best model improves the baseline by 14.52%. [2026-02-25T22:34:04.156Z] Top recommended movies for user id 72: [2026-02-25T22:34:04.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:34:04.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:34:04.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:34:04.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:34:04.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:34:04.156Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19707.691 ms) ====== [2026-02-25T22:34:04.156Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-25T22:34:04.156Z] GC before operation: completed in 173.807 ms, heap usage 608.998 MB -> 96.187 MB. [2026-02-25T22:34:07.188Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:34:10.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:34:13.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:34:19.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:34:19.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:34:19.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:34:22.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:34:23.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:34:23.056Z] 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. [2026-02-25T22:34:23.056Z] The best model improves the baseline by 14.52%. [2026-02-25T22:34:24.017Z] Top recommended movies for user id 72: [2026-02-25T22:34:24.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-25T22:34:24.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-25T22:34:24.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-25T22:34:24.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-25T22:34:24.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-25T22:34:24.017Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19485.058 ms) ====== [2026-02-25T22:34:24.973Z] ----------------------------------- [2026-02-25T22:34:24.973Z] renaissance-movie-lens_0_PASSED [2026-02-25T22:34:24.973Z] ----------------------------------- [2026-02-25T22:34:24.973Z] [2026-02-25T22:34:24.973Z] TEST TEARDOWN: [2026-02-25T22:34:24.973Z] Nothing to be done for teardown. [2026-02-25T22:34:24.973Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 22:34:24 2026 Epoch Time (ms): 1772058864335