[2026-02-14T22:44:12.218Z] Running test renaissance-movie-lens_0 ... [2026-02-14T22:44:12.218Z] =============================================== [2026-02-14T22:44:12.218Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 22:44:11 2026 Epoch Time (ms): 1771109051984 [2026-02-14T22:44:12.218Z] variation: NoOptions [2026-02-14T22:44:12.218Z] JVM_OPTIONS: [2026-02-14T22:44:12.218Z] { \ [2026-02-14T22:44:12.218Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T22:44:12.218Z] echo "Nothing to be done for setup."; \ [2026-02-14T22:44:12.218Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17711079129143/renaissance-movie-lens_0"; \ [2026-02-14T22:44:12.218Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17711079129143/renaissance-movie-lens_0"; \ [2026-02-14T22:44:12.218Z] echo ""; echo "TESTING:"; \ [2026-02-14T22:44:12.218Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17711079129143/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T22:44:12.218Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17711079129143/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T22:44:12.218Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T22:44:12.218Z] echo "Nothing to be done for teardown."; \ [2026-02-14T22:44:12.218Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17711079129143/TestTargetResult"; [2026-02-14T22:44:12.218Z] [2026-02-14T22:44:12.218Z] TEST SETUP: [2026-02-14T22:44:12.218Z] Nothing to be done for setup. [2026-02-14T22:44:12.218Z] [2026-02-14T22:44:12.218Z] TESTING: [2026-02-14T22:44:12.551Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T22:44:12.551Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17711079129143/renaissance-movie-lens_0/launcher-224412-16624695863788436674/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T22:44:12.551Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T22:44:12.551Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T22:44:17.327Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-14T22:44:23.262Z] 22:44:23.235 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T22:44:26.243Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T22:44:26.957Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T22:44:26.957Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T22:44:26.957Z] GC before operation: completed in 142.481 ms, heap usage 294.782 MB -> 75.494 MB. [2026-02-14T22:44:34.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:44:40.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:44:43.224Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:44:46.196Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:44:49.170Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:44:50.843Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:44:52.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:44:54.192Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:44:54.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:44:54.523Z] The best model improves the baseline by 14.34%. [2026-02-14T22:44:54.523Z] Top recommended movies for user id 72: [2026-02-14T22:44:54.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:44:54.523Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:44:54.523Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:44:54.523Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:44:54.523Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:44:54.523Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27533.226 ms) ====== [2026-02-14T22:44:54.523Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T22:44:54.859Z] GC before operation: completed in 147.388 ms, heap usage 176.216 MB -> 97.859 MB. [2026-02-14T22:44:57.848Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:45:00.116Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:45:03.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:45:04.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:45:05.997Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:45:07.670Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:45:08.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:45:10.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:45:10.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:45:10.495Z] The best model improves the baseline by 14.34%. [2026-02-14T22:45:10.830Z] Top recommended movies for user id 72: [2026-02-14T22:45:10.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:45:10.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:45:10.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:45:10.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:45:10.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:45:10.830Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15878.332 ms) ====== [2026-02-14T22:45:10.830Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T22:45:10.830Z] GC before operation: completed in 153.020 ms, heap usage 665.526 MB -> 91.738 MB. [2026-02-14T22:45:13.117Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:45:15.387Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:45:18.362Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:45:20.640Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:45:21.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:45:23.496Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:45:24.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:45:26.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:45:26.312Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:45:26.312Z] The best model improves the baseline by 14.34%. [2026-02-14T22:45:26.312Z] Top recommended movies for user id 72: [2026-02-14T22:45:26.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:45:26.312Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:45:26.312Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:45:26.312Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:45:26.312Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:45:26.312Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15631.334 ms) ====== [2026-02-14T22:45:26.312Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T22:45:26.649Z] GC before operation: completed in 142.384 ms, heap usage 542.326 MB -> 92.076 MB. [2026-02-14T22:45:28.913Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:45:31.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:45:34.218Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:45:35.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:45:37.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:45:38.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:45:40.381Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:45:41.540Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:45:41.540Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:45:41.540Z] The best model improves the baseline by 14.34%. [2026-02-14T22:45:41.872Z] Top recommended movies for user id 72: [2026-02-14T22:45:41.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:45:41.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:45:41.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:45:41.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:45:41.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:45:41.872Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15145.244 ms) ====== [2026-02-14T22:45:41.872Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T22:45:41.872Z] GC before operation: completed in 141.193 ms, heap usage 379.467 MB -> 88.842 MB. [2026-02-14T22:45:44.146Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:45:46.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:45:49.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:45:51.083Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:45:52.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:45:53.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:45:55.065Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:45:56.762Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:45:56.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:45:56.762Z] The best model improves the baseline by 14.34%. [2026-02-14T22:45:56.762Z] Top recommended movies for user id 72: [2026-02-14T22:45:56.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:45:56.762Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:45:56.762Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:45:56.762Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:45:56.762Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:45:56.762Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14984.976 ms) ====== [2026-02-14T22:45:56.762Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T22:45:57.099Z] GC before operation: completed in 154.868 ms, heap usage 179.307 MB -> 88.479 MB. [2026-02-14T22:45:59.384Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:46:01.654Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:46:03.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:46:06.207Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:46:07.369Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:46:08.523Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:46:10.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:46:11.344Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:46:11.344Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:46:11.344Z] The best model improves the baseline by 14.34%. [2026-02-14T22:46:11.681Z] Top recommended movies for user id 72: [2026-02-14T22:46:11.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:46:11.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:46:11.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:46:11.681Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:46:11.681Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:46:11.681Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14521.916 ms) ====== [2026-02-14T22:46:11.681Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T22:46:11.681Z] GC before operation: completed in 136.474 ms, heap usage 348.346 MB -> 89.065 MB. [2026-02-14T22:46:13.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:46:16.228Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:46:18.507Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:46:20.778Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:46:22.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:46:23.604Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:46:25.274Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:46:26.429Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:46:26.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:46:26.761Z] The best model improves the baseline by 14.34%. [2026-02-14T22:46:26.761Z] Top recommended movies for user id 72: [2026-02-14T22:46:26.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:46:26.761Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:46:26.761Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:46:26.761Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:46:26.761Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:46:26.761Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15113.868 ms) ====== [2026-02-14T22:46:26.761Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T22:46:27.119Z] GC before operation: completed in 128.900 ms, heap usage 439.274 MB -> 92.501 MB. [2026-02-14T22:46:29.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:46:31.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:46:33.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:46:36.195Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:46:37.355Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:46:38.514Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:46:40.187Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:46:41.343Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:46:41.676Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:46:41.676Z] The best model improves the baseline by 14.34%. [2026-02-14T22:46:42.008Z] Top recommended movies for user id 72: [2026-02-14T22:46:42.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:46:42.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:46:42.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:46:42.008Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:46:42.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:46:42.008Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14942.767 ms) ====== [2026-02-14T22:46:42.008Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T22:46:42.008Z] GC before operation: completed in 120.524 ms, heap usage 438.022 MB -> 92.643 MB. [2026-02-14T22:46:44.273Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:46:46.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:46:48.894Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:46:50.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:46:51.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:46:52.888Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:46:54.557Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:46:56.227Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:46:56.228Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:46:56.228Z] The best model improves the baseline by 14.34%. [2026-02-14T22:46:56.228Z] Top recommended movies for user id 72: [2026-02-14T22:46:56.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:46:56.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:46:56.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:46:56.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:46:56.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:46:56.228Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14359.911 ms) ====== [2026-02-14T22:46:56.228Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T22:46:56.561Z] GC before operation: completed in 129.602 ms, heap usage 226.609 MB -> 88.988 MB. [2026-02-14T22:46:59.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:47:01.208Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:47:03.504Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:47:05.177Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:47:06.333Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:47:07.493Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:47:09.157Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:47:10.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:47:10.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:47:10.310Z] The best model improves the baseline by 14.34%. [2026-02-14T22:47:10.310Z] Top recommended movies for user id 72: [2026-02-14T22:47:10.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:47:10.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:47:10.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:47:10.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:47:10.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:47:10.310Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13937.557 ms) ====== [2026-02-14T22:47:10.310Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T22:47:10.644Z] GC before operation: completed in 134.481 ms, heap usage 165.786 MB -> 88.986 MB. [2026-02-14T22:47:12.911Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:47:14.578Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:47:16.848Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:47:18.511Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:47:19.662Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:47:20.821Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:47:21.973Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:47:23.124Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:47:23.456Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:47:23.456Z] The best model improves the baseline by 14.34%. [2026-02-14T22:47:23.456Z] Top recommended movies for user id 72: [2026-02-14T22:47:23.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:47:23.456Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:47:23.456Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:47:23.456Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:47:23.456Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:47:23.456Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13007.304 ms) ====== [2026-02-14T22:47:23.456Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T22:47:23.788Z] GC before operation: completed in 131.136 ms, heap usage 242.508 MB -> 88.917 MB. [2026-02-14T22:47:26.055Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:47:27.724Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:47:29.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:47:31.659Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:47:32.376Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:47:33.533Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:47:34.686Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:47:35.845Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:47:36.299Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:47:36.299Z] The best model improves the baseline by 14.34%. [2026-02-14T22:47:36.299Z] Top recommended movies for user id 72: [2026-02-14T22:47:36.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:47:36.299Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:47:36.299Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:47:36.299Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:47:36.299Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:47:36.299Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12577.565 ms) ====== [2026-02-14T22:47:36.299Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T22:47:36.299Z] GC before operation: completed in 141.531 ms, heap usage 148.181 MB -> 89.003 MB. [2026-02-14T22:47:38.571Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:47:40.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:47:42.523Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:47:44.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:47:45.346Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:47:46.496Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:47:48.162Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:47:48.877Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:47:49.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:47:49.206Z] The best model improves the baseline by 14.34%. [2026-02-14T22:47:49.206Z] Top recommended movies for user id 72: [2026-02-14T22:47:49.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:47:49.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:47:49.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:47:49.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:47:49.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:47:49.206Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12934.991 ms) ====== [2026-02-14T22:47:49.206Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T22:47:49.539Z] GC before operation: completed in 133.317 ms, heap usage 221.210 MB -> 89.171 MB. [2026-02-14T22:47:51.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:47:53.468Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:47:55.734Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:47:57.407Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:47:58.558Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:47:59.723Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:48:00.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:48:02.034Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:48:02.035Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:48:02.379Z] The best model improves the baseline by 14.34%. [2026-02-14T22:48:02.379Z] Top recommended movies for user id 72: [2026-02-14T22:48:02.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:48:02.379Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:48:02.379Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:48:02.379Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:48:02.379Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:48:02.379Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12843.845 ms) ====== [2026-02-14T22:48:02.379Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T22:48:02.379Z] GC before operation: completed in 124.930 ms, heap usage 146.360 MB -> 88.943 MB. [2026-02-14T22:48:04.643Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:48:06.310Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:48:08.590Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:48:10.265Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:48:11.420Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:48:12.574Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:48:13.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:48:14.879Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:48:14.879Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:48:14.879Z] The best model improves the baseline by 14.34%. [2026-02-14T22:48:14.879Z] Top recommended movies for user id 72: [2026-02-14T22:48:14.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:48:14.879Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:48:14.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:48:14.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:48:14.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:48:14.879Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12531.993 ms) ====== [2026-02-14T22:48:14.879Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T22:48:15.219Z] GC before operation: completed in 132.482 ms, heap usage 390.535 MB -> 89.623 MB. [2026-02-14T22:48:17.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:48:19.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:48:21.410Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:48:23.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:48:23.790Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:48:25.040Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:48:26.194Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:48:27.346Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:48:27.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:48:27.677Z] The best model improves the baseline by 14.34%. [2026-02-14T22:48:27.677Z] Top recommended movies for user id 72: [2026-02-14T22:48:27.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:48:27.677Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:48:27.677Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:48:27.677Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:48:27.677Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:48:27.677Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12632.864 ms) ====== [2026-02-14T22:48:27.677Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T22:48:28.020Z] GC before operation: completed in 134.891 ms, heap usage 307.057 MB -> 89.295 MB. [2026-02-14T22:48:30.287Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:48:31.959Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:48:33.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:48:35.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:48:36.598Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:48:37.749Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:48:38.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:48:40.056Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:48:40.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:48:40.056Z] The best model improves the baseline by 14.34%. [2026-02-14T22:48:40.386Z] Top recommended movies for user id 72: [2026-02-14T22:48:40.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:48:40.386Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:48:40.386Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:48:40.386Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:48:40.386Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:48:40.386Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12392.582 ms) ====== [2026-02-14T22:48:40.386Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T22:48:40.386Z] GC before operation: completed in 143.532 ms, heap usage 579.877 MB -> 93.027 MB. [2026-02-14T22:48:42.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:48:44.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:48:46.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:48:48.254Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:48:49.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:48:50.559Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:48:51.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:48:52.877Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:48:53.204Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:48:53.204Z] The best model improves the baseline by 14.34%. [2026-02-14T22:48:53.204Z] Top recommended movies for user id 72: [2026-02-14T22:48:53.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:48:53.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:48:53.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:48:53.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:48:53.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:48:53.204Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12788.059 ms) ====== [2026-02-14T22:48:53.204Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T22:48:53.204Z] GC before operation: completed in 132.389 ms, heap usage 219.669 MB -> 88.991 MB. [2026-02-14T22:48:55.507Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:48:57.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:48:59.429Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:49:01.087Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:49:02.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:49:03.416Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:49:04.626Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:49:05.773Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:49:05.773Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:49:05.773Z] The best model improves the baseline by 14.34%. [2026-02-14T22:49:06.105Z] Top recommended movies for user id 72: [2026-02-14T22:49:06.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:49:06.105Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:49:06.105Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:49:06.105Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:49:06.105Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:49:06.105Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12610.348 ms) ====== [2026-02-14T22:49:06.105Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T22:49:06.105Z] GC before operation: completed in 129.059 ms, heap usage 117.574 MB -> 92.853 MB. [2026-02-14T22:49:08.405Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T22:49:10.062Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T22:49:11.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T22:49:14.098Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T22:49:14.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T22:49:15.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T22:49:17.161Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T22:49:18.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T22:49:18.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-14T22:49:18.644Z] The best model improves the baseline by 14.34%. [2026-02-14T22:49:18.644Z] Top recommended movies for user id 72: [2026-02-14T22:49:18.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-14T22:49:18.645Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-14T22:49:18.645Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-14T22:49:18.645Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-14T22:49:18.645Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-14T22:49:18.645Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12496.457 ms) ====== [2026-02-14T22:49:18.977Z] ----------------------------------- [2026-02-14T22:49:18.977Z] renaissance-movie-lens_0_PASSED [2026-02-14T22:49:18.977Z] ----------------------------------- [2026-02-14T22:49:18.977Z] [2026-02-14T22:49:18.977Z] TEST TEARDOWN: [2026-02-14T22:49:18.977Z] Nothing to be done for teardown. [2026-02-14T22:49:18.977Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 22:49:18 2026 Epoch Time (ms): 1771109358901