[2026-02-11T17:54:55.429Z] Running test renaissance-movie-lens_0 ... [2026-02-11T17:54:55.429Z] =============================================== [2026-02-11T17:54:55.429Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 17:54:55 2026 Epoch Time (ms): 1770832495165 [2026-02-11T17:54:55.429Z] variation: NoOptions [2026-02-11T17:54:55.429Z] JVM_OPTIONS: [2026-02-11T17:54:55.429Z] { \ [2026-02-11T17:54:55.429Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T17:54:55.429Z] echo "Nothing to be done for setup."; \ [2026-02-11T17:54:55.429Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708309728697/renaissance-movie-lens_0"; \ [2026-02-11T17:54:55.429Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708309728697/renaissance-movie-lens_0"; \ [2026-02-11T17:54:55.429Z] echo ""; echo "TESTING:"; \ [2026-02-11T17:54:55.429Z] "/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_17708309728697/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T17:54:55.429Z] 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_17708309728697/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T17:54:55.429Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T17:54:55.429Z] echo "Nothing to be done for teardown."; \ [2026-02-11T17:54:55.429Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708309728697/TestTargetResult"; [2026-02-11T17:54:55.429Z] [2026-02-11T17:54:55.429Z] TEST SETUP: [2026-02-11T17:54:55.429Z] Nothing to be done for setup. [2026-02-11T17:54:55.429Z] [2026-02-11T17:54:55.429Z] TESTING: [2026-02-11T17:55:03.750Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T17:55:17.489Z] 17:55:15.569 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T17:55:19.490Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T17:55:20.517Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T17:55:20.517Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T17:55:20.517Z] GC before operation: completed in 170.290 ms, heap usage 191.862 MB -> 75.796 MB. [2026-02-11T17:55:30.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:55:35.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:55:41.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:55:45.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:55:48.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:55:50.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:55:53.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:55:56.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:55:56.982Z] 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. [2026-02-11T17:55:56.982Z] The best model improves the baseline by 14.52%. [2026-02-11T17:55:56.982Z] Top recommended movies for user id 72: [2026-02-11T17:55:56.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:55:56.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:55:56.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:55:56.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:55:56.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:55:56.982Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36976.779 ms) ====== [2026-02-11T17:55:56.982Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T17:55:57.953Z] GC before operation: completed in 188.486 ms, heap usage 370.536 MB -> 88.537 MB. [2026-02-11T17:56:02.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:56:06.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:56:10.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:56:14.269Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:56:16.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:56:18.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:56:20.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:56:22.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:56:23.245Z] 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. [2026-02-11T17:56:23.245Z] The best model improves the baseline by 14.52%. [2026-02-11T17:56:23.245Z] Top recommended movies for user id 72: [2026-02-11T17:56:23.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:56:23.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:56:23.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:56:23.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:56:23.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:56:23.245Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25733.902 ms) ====== [2026-02-11T17:56:23.245Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T17:56:23.245Z] GC before operation: completed in 164.618 ms, heap usage 715.845 MB -> 92.442 MB. [2026-02-11T17:56:27.478Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:56:30.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:56:34.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:56:37.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:56:39.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:56:41.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:56:44.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:56:46.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:56:46.963Z] 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. [2026-02-11T17:56:46.963Z] The best model improves the baseline by 14.52%. [2026-02-11T17:56:46.963Z] Top recommended movies for user id 72: [2026-02-11T17:56:46.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:56:46.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:56:46.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:56:46.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:56:46.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:56:46.964Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23650.645 ms) ====== [2026-02-11T17:56:46.964Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T17:56:46.964Z] GC before operation: completed in 183.103 ms, heap usage 496.426 MB -> 89.648 MB. [2026-02-11T17:56:51.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:56:54.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:56:58.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:57:02.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:57:04.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:57:06.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:57:08.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:57:10.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:57:11.015Z] 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. [2026-02-11T17:57:11.015Z] The best model improves the baseline by 14.52%. [2026-02-11T17:57:11.015Z] Top recommended movies for user id 72: [2026-02-11T17:57:11.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:57:11.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:57:11.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:57:11.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:57:11.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:57:11.015Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23572.529 ms) ====== [2026-02-11T17:57:11.015Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T17:57:11.015Z] GC before operation: completed in 173.171 ms, heap usage 217.445 MB -> 89.547 MB. [2026-02-11T17:57:14.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:57:18.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:57:22.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:57:25.650Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:57:27.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:57:29.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:57:31.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:57:33.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:57:34.621Z] 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. [2026-02-11T17:57:34.621Z] The best model improves the baseline by 14.52%. [2026-02-11T17:57:34.621Z] Top recommended movies for user id 72: [2026-02-11T17:57:34.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:57:34.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:57:34.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:57:34.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:57:34.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:57:34.621Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23369.438 ms) ====== [2026-02-11T17:57:34.621Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T17:57:34.621Z] GC before operation: completed in 170.120 ms, heap usage 350.224 MB -> 89.672 MB. [2026-02-11T17:57:38.860Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:57:41.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:57:45.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:57:48.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:57:50.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:57:52.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:57:54.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:57:56.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:57:57.082Z] 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. [2026-02-11T17:57:57.082Z] The best model improves the baseline by 14.52%. [2026-02-11T17:57:57.082Z] Top recommended movies for user id 72: [2026-02-11T17:57:57.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:57:57.082Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:57:57.082Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:57:57.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:57:57.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:57:57.083Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22332.457 ms) ====== [2026-02-11T17:57:57.083Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T17:57:57.083Z] GC before operation: completed in 167.111 ms, heap usage 534.158 MB -> 93.580 MB. [2026-02-11T17:58:00.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:58:04.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:58:07.119Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:58:10.198Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:58:12.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:58:14.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:58:16.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:58:18.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:58:18.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T17:58:18.197Z] The best model improves the baseline by 14.52%. [2026-02-11T17:58:19.172Z] Top recommended movies for user id 72: [2026-02-11T17:58:19.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:58:19.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:58:19.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:58:19.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:58:19.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:58:19.172Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21673.380 ms) ====== [2026-02-11T17:58:19.172Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T17:58:19.172Z] GC before operation: completed in 169.955 ms, heap usage 604.399 MB -> 93.612 MB. [2026-02-11T17:58:22.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:58:25.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:58:29.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:58:32.678Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:58:33.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:58:35.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:58:37.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:58:39.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:58:39.645Z] 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. [2026-02-11T17:58:39.645Z] The best model improves the baseline by 14.52%. [2026-02-11T17:58:40.618Z] Top recommended movies for user id 72: [2026-02-11T17:58:40.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:58:40.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:58:40.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:58:40.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:58:40.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:58:40.618Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21330.388 ms) ====== [2026-02-11T17:58:40.619Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T17:58:40.619Z] GC before operation: completed in 175.769 ms, heap usage 772.222 MB -> 94.048 MB. [2026-02-11T17:58:43.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:58:46.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:58:49.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:58:52.964Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:58:54.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:58:56.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:58:59.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:59:01.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:59:01.387Z] 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. [2026-02-11T17:59:01.387Z] The best model improves the baseline by 14.52%. [2026-02-11T17:59:01.387Z] Top recommended movies for user id 72: [2026-02-11T17:59:01.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:59:01.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:59:01.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:59:01.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:59:01.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:59:01.387Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21213.512 ms) ====== [2026-02-11T17:59:01.387Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T17:59:02.359Z] GC before operation: completed in 166.057 ms, heap usage 476.916 MB -> 90.392 MB. [2026-02-11T17:59:05.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:59:08.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:59:11.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:59:14.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:59:16.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:59:18.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:59:20.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:59:22.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:59:23.685Z] 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. [2026-02-11T17:59:23.685Z] The best model improves the baseline by 14.52%. [2026-02-11T17:59:23.685Z] Top recommended movies for user id 72: [2026-02-11T17:59:23.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:59:23.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:59:23.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:59:23.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:59:23.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:59:23.685Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21647.446 ms) ====== [2026-02-11T17:59:23.685Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T17:59:23.685Z] GC before operation: completed in 181.947 ms, heap usage 473.258 MB -> 90.655 MB. [2026-02-11T17:59:26.831Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:59:29.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:59:34.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:59:36.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T17:59:38.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T17:59:40.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T17:59:42.332Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T17:59:44.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T17:59:45.335Z] 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. [2026-02-11T17:59:45.335Z] The best model improves the baseline by 14.52%. [2026-02-11T17:59:45.335Z] Top recommended movies for user id 72: [2026-02-11T17:59:45.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T17:59:45.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T17:59:45.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T17:59:45.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T17:59:45.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T17:59:45.335Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21596.213 ms) ====== [2026-02-11T17:59:45.335Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T17:59:45.335Z] GC before operation: completed in 173.490 ms, heap usage 427.472 MB -> 90.195 MB. [2026-02-11T17:59:48.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T17:59:52.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T17:59:55.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T17:59:59.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:00:00.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:00:02.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:00:05.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:00:07.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:00:07.723Z] 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. [2026-02-11T18:00:07.723Z] The best model improves the baseline by 14.52%. [2026-02-11T18:00:08.699Z] Top recommended movies for user id 72: [2026-02-11T18:00:08.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:00:08.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:00:08.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:00:08.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:00:08.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:00:08.699Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23019.051 ms) ====== [2026-02-11T18:00:08.699Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T18:00:08.699Z] GC before operation: completed in 191.659 ms, heap usage 164.559 MB -> 90.610 MB. [2026-02-11T18:00:12.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:00:16.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:00:20.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:00:23.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:00:26.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:00:28.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:00:31.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:00:33.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:00:33.740Z] 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. [2026-02-11T18:00:33.740Z] The best model improves the baseline by 14.52%. [2026-02-11T18:00:33.740Z] Top recommended movies for user id 72: [2026-02-11T18:00:33.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:00:33.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:00:33.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:00:33.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:00:33.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:00:33.740Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25358.876 ms) ====== [2026-02-11T18:00:33.740Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T18:00:34.716Z] GC before operation: completed in 194.821 ms, heap usage 494.458 MB -> 90.578 MB. [2026-02-11T18:00:37.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:00:42.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:00:45.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:00:49.383Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:00:51.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:00:53.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:00:55.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:00:57.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:00:58.394Z] 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. [2026-02-11T18:00:58.394Z] The best model improves the baseline by 14.52%. [2026-02-11T18:00:58.394Z] Top recommended movies for user id 72: [2026-02-11T18:00:58.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:00:58.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:00:58.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:00:58.394Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:00:58.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:00:58.394Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24158.215 ms) ====== [2026-02-11T18:00:58.394Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T18:00:58.394Z] GC before operation: completed in 187.657 ms, heap usage 434.860 MB -> 90.339 MB. [2026-02-11T18:01:02.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:01:06.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:01:09.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:01:14.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:01:15.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:01:17.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:01:20.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:01:22.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:01:22.647Z] 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. [2026-02-11T18:01:22.647Z] The best model improves the baseline by 14.52%. [2026-02-11T18:01:22.647Z] Top recommended movies for user id 72: [2026-02-11T18:01:22.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:01:22.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:01:22.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:01:22.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:01:22.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:01:22.647Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24379.380 ms) ====== [2026-02-11T18:01:22.647Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T18:01:23.621Z] GC before operation: completed in 200.733 ms, heap usage 601.201 MB -> 94.047 MB. [2026-02-11T18:01:26.723Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:01:30.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:01:34.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:01:38.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:01:40.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:01:42.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:01:44.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:01:46.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:01:47.299Z] 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. [2026-02-11T18:01:47.299Z] The best model improves the baseline by 14.52%. [2026-02-11T18:01:47.299Z] Top recommended movies for user id 72: [2026-02-11T18:01:47.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:01:47.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:01:47.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:01:47.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:01:47.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:01:47.299Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24090.597 ms) ====== [2026-02-11T18:01:47.299Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T18:01:47.299Z] GC before operation: completed in 184.289 ms, heap usage 106.217 MB -> 94.871 MB. [2026-02-11T18:01:51.561Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:01:54.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:01:57.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:02:01.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:02:03.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:02:05.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:02:07.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:02:09.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:02:09.874Z] 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. [2026-02-11T18:02:09.874Z] The best model improves the baseline by 14.52%. [2026-02-11T18:02:09.874Z] Top recommended movies for user id 72: [2026-02-11T18:02:09.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:02:09.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:02:09.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:02:09.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:02:09.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:02:09.874Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22881.676 ms) ====== [2026-02-11T18:02:09.874Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T18:02:10.846Z] GC before operation: completed in 184.368 ms, heap usage 234.208 MB -> 90.189 MB. [2026-02-11T18:02:13.933Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:02:18.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:02:21.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:02:24.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:02:26.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:02:28.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:02:31.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:02:33.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:02:34.530Z] 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. [2026-02-11T18:02:34.530Z] The best model improves the baseline by 14.52%. [2026-02-11T18:02:34.530Z] Top recommended movies for user id 72: [2026-02-11T18:02:34.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:02:34.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:02:34.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:02:34.530Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:02:34.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:02:34.530Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23887.144 ms) ====== [2026-02-11T18:02:34.530Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T18:02:34.530Z] GC before operation: completed in 206.853 ms, heap usage 609.751 MB -> 93.783 MB. [2026-02-11T18:02:38.806Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:02:43.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:02:47.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:02:50.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:02:53.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:02:55.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:02:58.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:03:01.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:03:02.313Z] 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. [2026-02-11T18:03:02.313Z] The best model improves the baseline by 14.52%. [2026-02-11T18:03:02.313Z] Top recommended movies for user id 72: [2026-02-11T18:03:02.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:03:02.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:03:02.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:03:02.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:03:02.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:03:02.313Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27616.030 ms) ====== [2026-02-11T18:03:02.313Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T18:03:02.313Z] GC before operation: completed in 210.906 ms, heap usage 909.946 MB -> 94.876 MB. [2026-02-11T18:03:07.852Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T18:03:12.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T18:03:16.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T18:03:20.631Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T18:03:22.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T18:03:25.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T18:03:27.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T18:03:29.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T18:03:30.842Z] 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. [2026-02-11T18:03:30.842Z] The best model improves the baseline by 14.52%. [2026-02-11T18:03:30.842Z] Top recommended movies for user id 72: [2026-02-11T18:03:30.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T18:03:30.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T18:03:30.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T18:03:30.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T18:03:30.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T18:03:30.842Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28429.773 ms) ====== [2026-02-11T18:03:32.865Z] ----------------------------------- [2026-02-11T18:03:32.865Z] renaissance-movie-lens_0_PASSED [2026-02-11T18:03:32.865Z] ----------------------------------- [2026-02-11T18:03:32.865Z] [2026-02-11T18:03:32.865Z] TEST TEARDOWN: [2026-02-11T18:03:32.865Z] Nothing to be done for teardown. [2026-02-11T18:03:32.865Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 18:03:32 2026 Epoch Time (ms): 1770833012135