[2026-02-26T15:24:26.537Z] Running test renaissance-movie-lens_0 ... [2026-02-26T15:24:26.537Z] =============================================== [2026-02-26T15:24:26.537Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 15:24:26 2026 Epoch Time (ms): 1772119466459 [2026-02-26T15:24:26.537Z] variation: NoOptions [2026-02-26T15:24:26.537Z] JVM_OPTIONS: [2026-02-26T15:24:26.537Z] { \ [2026-02-26T15:24:26.537Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T15:24:26.537Z] echo "Nothing to be done for setup."; \ [2026-02-26T15:24:26.537Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721185453427/renaissance-movie-lens_0"; \ [2026-02-26T15:24:26.537Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721185453427/renaissance-movie-lens_0"; \ [2026-02-26T15:24:26.537Z] echo ""; echo "TESTING:"; \ [2026-02-26T15:24:26.537Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-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_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721185453427/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T15:24:26.537Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721185453427/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T15:24:26.537Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T15:24:26.537Z] echo "Nothing to be done for teardown."; \ [2026-02-26T15:24:26.537Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17721185453427/TestTargetResult"; [2026-02-26T15:24:26.537Z] [2026-02-26T15:24:26.537Z] TEST SETUP: [2026-02-26T15:24:26.537Z] Nothing to be done for setup. [2026-02-26T15:24:26.537Z] [2026-02-26T15:24:26.537Z] TESTING: [2026-02-26T15:24:32.071Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T15:24:39.380Z] 15:24:38.251 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T15:24:40.951Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T15:24:41.713Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T15:24:41.713Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T15:24:41.713Z] GC before operation: completed in 123.661 ms, heap usage 178.016 MB -> 75.931 MB. [2026-02-26T15:24:48.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:24:54.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:24:57.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:25:00.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:25:03.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:25:05.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:25:07.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:25:08.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:25:09.651Z] 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. [2026-02-26T15:25:09.651Z] The best model improves the baseline by 14.52%. [2026-02-26T15:25:09.651Z] Top recommended movies for user id 72: [2026-02-26T15:25:09.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:25:09.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:25:09.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:25:09.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:25:09.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:25:09.651Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27866.470 ms) ====== [2026-02-26T15:25:09.651Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T15:25:09.651Z] GC before operation: completed in 132.500 ms, heap usage 552.356 MB -> 91.878 MB. [2026-02-26T15:25:13.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:25:16.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:25:18.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:25:21.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:25:23.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:25:25.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:25:26.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:25:28.459Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:25:28.459Z] 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. [2026-02-26T15:25:28.459Z] The best model improves the baseline by 14.52%. [2026-02-26T15:25:28.459Z] Top recommended movies for user id 72: [2026-02-26T15:25:28.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:25:28.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:25:28.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:25:28.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:25:28.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:25:28.459Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19059.073 ms) ====== [2026-02-26T15:25:28.459Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T15:25:29.220Z] GC before operation: completed in 122.297 ms, heap usage 178.187 MB -> 90.987 MB. [2026-02-26T15:25:31.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:25:34.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:25:37.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:25:39.710Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:25:41.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:25:43.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:25:45.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:25:46.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:25:46.853Z] 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. [2026-02-26T15:25:46.853Z] The best model improves the baseline by 14.52%. [2026-02-26T15:25:46.853Z] Top recommended movies for user id 72: [2026-02-26T15:25:46.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:25:46.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:25:46.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:25:46.853Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:25:46.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:25:46.853Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18129.185 ms) ====== [2026-02-26T15:25:46.853Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T15:25:46.853Z] GC before operation: completed in 136.008 ms, heap usage 369.983 MB -> 89.708 MB. [2026-02-26T15:25:50.245Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:25:52.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:25:55.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:25:57.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:25:59.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:26:00.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:26:03.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:26:04.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:26:04.867Z] 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. [2026-02-26T15:26:04.867Z] The best model improves the baseline by 14.52%. [2026-02-26T15:26:04.867Z] Top recommended movies for user id 72: [2026-02-26T15:26:04.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:26:04.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:26:04.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:26:04.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:26:04.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:26:04.867Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17855.047 ms) ====== [2026-02-26T15:26:04.867Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T15:26:04.867Z] GC before operation: completed in 130.918 ms, heap usage 136.550 MB -> 89.714 MB. [2026-02-26T15:26:08.246Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:26:10.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:26:14.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:26:16.548Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:26:18.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:26:19.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:26:21.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:26:24.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:26:25.424Z] 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. [2026-02-26T15:26:25.424Z] The best model improves the baseline by 14.52%. [2026-02-26T15:26:25.424Z] Top recommended movies for user id 72: [2026-02-26T15:26:25.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:26:25.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:26:25.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:26:25.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:26:25.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:26:25.424Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20142.308 ms) ====== [2026-02-26T15:26:25.424Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T15:26:25.424Z] GC before operation: completed in 113.325 ms, heap usage 243.631 MB -> 89.757 MB. [2026-02-26T15:26:28.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:26:36.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:26:41.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:26:43.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:26:45.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:26:47.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:26:49.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:26:50.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:26:51.470Z] 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. [2026-02-26T15:26:51.470Z] The best model improves the baseline by 14.52%. [2026-02-26T15:26:51.471Z] Top recommended movies for user id 72: [2026-02-26T15:26:51.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:26:51.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:26:51.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:26:51.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:26:51.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:26:51.471Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26032.165 ms) ====== [2026-02-26T15:26:51.471Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T15:26:51.471Z] GC before operation: completed in 113.413 ms, heap usage 148.515 MB -> 90.065 MB. [2026-02-26T15:26:53.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:26:56.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:26:59.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:27:02.145Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:27:02.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:27:04.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:27:06.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:27:10.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:27:10.467Z] 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. [2026-02-26T15:27:10.467Z] The best model improves the baseline by 14.52%. [2026-02-26T15:27:10.467Z] Top recommended movies for user id 72: [2026-02-26T15:27:10.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:27:10.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:27:10.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:27:10.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:27:10.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:27:10.467Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18795.764 ms) ====== [2026-02-26T15:27:10.467Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T15:27:10.467Z] GC before operation: completed in 106.640 ms, heap usage 446.672 MB -> 90.401 MB. [2026-02-26T15:27:12.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:27:15.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:27:17.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:27:22.386Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:27:22.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:27:23.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:27:25.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:27:25.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:27:25.900Z] 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. [2026-02-26T15:27:25.900Z] The best model improves the baseline by 14.52%. [2026-02-26T15:27:25.900Z] Top recommended movies for user id 72: [2026-02-26T15:27:25.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:27:25.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:27:25.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:27:25.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:27:25.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:27:25.900Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15704.777 ms) ====== [2026-02-26T15:27:25.900Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T15:27:25.900Z] GC before operation: completed in 112.295 ms, heap usage 282.428 MB -> 90.404 MB. [2026-02-26T15:27:29.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:27:30.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:27:33.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:27:35.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:27:37.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:27:38.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:27:40.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:27:42.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:27:42.001Z] 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. [2026-02-26T15:27:42.001Z] The best model improves the baseline by 14.52%. [2026-02-26T15:27:42.001Z] Top recommended movies for user id 72: [2026-02-26T15:27:42.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:27:42.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:27:42.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:27:42.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:27:42.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:27:42.001Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15878.553 ms) ====== [2026-02-26T15:27:42.001Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T15:27:42.001Z] GC before operation: completed in 114.865 ms, heap usage 546.607 MB -> 93.874 MB. [2026-02-26T15:27:46.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:27:47.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:27:51.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:27:51.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:27:53.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:27:54.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:27:56.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:28:03.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:28:03.143Z] 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. [2026-02-26T15:28:03.144Z] The best model improves the baseline by 14.52%. [2026-02-26T15:28:03.144Z] Top recommended movies for user id 72: [2026-02-26T15:28:03.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:28:03.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:28:03.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:28:03.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:28:03.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:28:03.144Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16386.049 ms) ====== [2026-02-26T15:28:03.144Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T15:28:03.144Z] GC before operation: completed in 113.207 ms, heap usage 393.616 MB -> 90.581 MB. [2026-02-26T15:28:03.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:28:03.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:28:06.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:28:08.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:28:09.697Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:28:11.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:28:12.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:28:14.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:28:14.418Z] 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. [2026-02-26T15:28:14.418Z] The best model improves the baseline by 14.52%. [2026-02-26T15:28:15.177Z] Top recommended movies for user id 72: [2026-02-26T15:28:15.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:28:15.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:28:15.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:28:15.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:28:15.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:28:15.178Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16098.506 ms) ====== [2026-02-26T15:28:15.178Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T15:28:15.178Z] GC before operation: completed in 117.313 ms, heap usage 336.265 MB -> 90.208 MB. [2026-02-26T15:28:17.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:28:20.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:28:22.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:28:24.987Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:28:26.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:28:28.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:28:29.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:28:31.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:28:31.260Z] 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. [2026-02-26T15:28:31.260Z] The best model improves the baseline by 14.52%. [2026-02-26T15:28:31.260Z] Top recommended movies for user id 72: [2026-02-26T15:28:31.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:28:31.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:28:31.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:28:31.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:28:31.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:28:31.260Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16259.957 ms) ====== [2026-02-26T15:28:31.260Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T15:28:31.260Z] GC before operation: completed in 106.984 ms, heap usage 374.321 MB -> 90.593 MB. [2026-02-26T15:28:33.703Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:28:36.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:28:38.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:28:41.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:28:42.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:28:44.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:28:45.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:28:46.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:28:47.367Z] 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. [2026-02-26T15:28:47.367Z] The best model improves the baseline by 14.52%. [2026-02-26T15:28:47.367Z] Top recommended movies for user id 72: [2026-02-26T15:28:47.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:28:47.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:28:47.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:28:47.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:28:47.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:28:47.367Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16050.867 ms) ====== [2026-02-26T15:28:47.367Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T15:28:47.367Z] GC before operation: completed in 110.617 ms, heap usage 136.300 MB -> 90.283 MB. [2026-02-26T15:28:49.809Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:28:52.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:28:55.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:28:57.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:28:59.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:29:00.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:29:02.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:29:04.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:29:04.067Z] 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. [2026-02-26T15:29:04.067Z] The best model improves the baseline by 14.52%. [2026-02-26T15:29:04.067Z] Top recommended movies for user id 72: [2026-02-26T15:29:04.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:29:04.067Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:29:04.067Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:29:04.067Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:29:04.067Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:29:04.067Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16890.318 ms) ====== [2026-02-26T15:29:04.067Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T15:29:04.826Z] GC before operation: completed in 106.578 ms, heap usage 151.459 MB -> 90.095 MB. [2026-02-26T15:29:07.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:29:09.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:29:12.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:29:14.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:29:15.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:29:17.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:29:18.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:29:20.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:29:20.304Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:29:20.304Z] The best model improves the baseline by 14.52%. [2026-02-26T15:29:20.304Z] Top recommended movies for user id 72: [2026-02-26T15:29:20.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:29:20.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:29:20.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:29:20.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:29:20.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:29:20.304Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16162.491 ms) ====== [2026-02-26T15:29:20.304Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T15:29:21.059Z] GC before operation: completed in 114.568 ms, heap usage 183.711 MB -> 90.453 MB. [2026-02-26T15:29:23.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:29:25.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:29:28.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:29:30.915Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:29:32.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:29:34.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:29:35.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:29:36.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:29:37.151Z] 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. [2026-02-26T15:29:37.151Z] The best model improves the baseline by 14.52%. [2026-02-26T15:29:37.151Z] Top recommended movies for user id 72: [2026-02-26T15:29:37.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:29:37.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:29:37.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:29:37.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:29:37.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:29:37.151Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16232.340 ms) ====== [2026-02-26T15:29:37.151Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T15:29:37.151Z] GC before operation: completed in 114.543 ms, heap usage 504.061 MB -> 90.706 MB. [2026-02-26T15:29:39.643Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:29:42.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:29:45.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:29:47.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:29:48.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:29:50.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:29:51.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:29:53.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:29:53.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:29:53.388Z] The best model improves the baseline by 14.52%. [2026-02-26T15:29:53.388Z] Top recommended movies for user id 72: [2026-02-26T15:29:53.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:29:53.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:29:53.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:29:53.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:29:53.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:29:53.388Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16571.058 ms) ====== [2026-02-26T15:29:53.388Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T15:29:54.433Z] GC before operation: completed in 116.078 ms, heap usage 100.378 MB -> 93.752 MB. [2026-02-26T15:29:56.002Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:29:58.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:30:01.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:30:03.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:30:05.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:30:06.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:30:08.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:30:09.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:30:10.485Z] 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. [2026-02-26T15:30:10.485Z] The best model improves the baseline by 14.52%. [2026-02-26T15:30:10.485Z] Top recommended movies for user id 72: [2026-02-26T15:30:10.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:30:10.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:30:10.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:30:10.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:30:10.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:30:10.485Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16458.053 ms) ====== [2026-02-26T15:30:10.485Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T15:30:10.485Z] GC before operation: completed in 112.835 ms, heap usage 377.488 MB -> 90.537 MB. [2026-02-26T15:30:12.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:30:15.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:30:17.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:30:20.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:30:21.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:30:22.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:30:24.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:30:25.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:30:25.718Z] 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. [2026-02-26T15:30:25.718Z] The best model improves the baseline by 14.52%. [2026-02-26T15:30:25.718Z] Top recommended movies for user id 72: [2026-02-26T15:30:25.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:30:25.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:30:25.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:30:25.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:30:25.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:30:25.718Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15617.564 ms) ====== [2026-02-26T15:30:25.718Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T15:30:26.473Z] GC before operation: completed in 112.936 ms, heap usage 584.586 MB -> 94.010 MB. [2026-02-26T15:30:28.911Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:30:31.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:30:33.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:30:36.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:30:37.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:30:38.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:30:40.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:30:41.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:30:41.727Z] 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. [2026-02-26T15:30:41.727Z] The best model improves the baseline by 14.52%. [2026-02-26T15:30:41.727Z] Top recommended movies for user id 72: [2026-02-26T15:30:41.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:30:41.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:30:41.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:30:41.727Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:30:41.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:30:41.727Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15954.077 ms) ====== [2026-02-26T15:30:42.484Z] ----------------------------------- [2026-02-26T15:30:42.484Z] renaissance-movie-lens_0_PASSED [2026-02-26T15:30:42.484Z] ----------------------------------- [2026-02-26T15:30:42.484Z] [2026-02-26T15:30:42.484Z] TEST TEARDOWN: [2026-02-26T15:30:42.484Z] Nothing to be done for teardown. [2026-02-26T15:30:42.484Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 15:30:42 2026 Epoch Time (ms): 1772119842073