[2026-04-23T14:24:16.918Z] Running test renaissance-movie-lens_0 ... [2026-04-23T14:24:16.918Z] =============================================== [2026-04-23T14:24:16.918Z] renaissance-movie-lens_0 Start Time: Thu Apr 23 14:24:16 2026 Epoch Time (ms): 1776954256447 [2026-04-23T14:24:16.918Z] variation: NoOptions [2026-04-23T14:24:16.918Z] JVM_OPTIONS: [2026-04-23T14:24:16.918Z] { \ [2026-04-23T14:24:16.918Z] echo ""; echo "TEST SETUP:"; \ [2026-04-23T14:24:16.918Z] echo "Nothing to be done for setup."; \ [2026-04-23T14:24:16.918Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17769527899467/renaissance-movie-lens_0"; \ [2026-04-23T14:24:16.918Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17769527899467/renaissance-movie-lens_0"; \ [2026-04-23T14:24:16.918Z] echo ""; echo "TESTING:"; \ [2026-04-23T14:24:16.918Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17769527899467/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-23T14:24:16.918Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17769527899467/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-23T14:24:16.918Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-23T14:24:16.918Z] echo "Nothing to be done for teardown."; \ [2026-04-23T14:24:16.918Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17769527899467/TestTargetResult"; [2026-04-23T14:24:16.918Z] [2026-04-23T14:24:16.918Z] TEST SETUP: [2026-04-23T14:24:16.918Z] Nothing to be done for setup. [2026-04-23T14:24:16.918Z] [2026-04-23T14:24:16.918Z] TESTING: [2026-04-23T14:24:22.029Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-23T14:24:29.671Z] 14:24:28.925 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. [2026-04-23T14:24:32.777Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-23T14:24:33.456Z] Training: 60056, validation: 20285, test: 19854 [2026-04-23T14:24:33.456Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-23T14:24:33.456Z] GC before operation: completed in 197.123 ms, heap usage 202.919 MB -> 75.948 MB. [2026-04-23T14:24:41.130Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:24:47.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:24:53.706Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:24:58.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:25:00.108Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:25:03.197Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:25:06.208Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:25:07.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:25:08.269Z] 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. [2026-04-23T14:25:08.269Z] The best model improves the baseline by 14.34%. [2026-04-23T14:25:08.958Z] Top recommended movies for user id 72: [2026-04-23T14:25:08.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:25:08.958Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:25:08.958Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:25:08.958Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:25:08.958Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:25:08.958Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35446.897 ms) ====== [2026-04-23T14:25:08.958Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-23T14:25:08.958Z] GC before operation: completed in 200.863 ms, heap usage 440.594 MB -> 86.704 MB. [2026-04-23T14:25:13.080Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:25:16.070Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:25:19.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:25:22.667Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:25:24.804Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:25:26.930Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:25:28.305Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:25:30.441Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:25:30.441Z] 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. [2026-04-23T14:25:30.441Z] The best model improves the baseline by 14.34%. [2026-04-23T14:25:31.102Z] Top recommended movies for user id 72: [2026-04-23T14:25:31.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:25:31.102Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:25:31.102Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:25:31.102Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:25:31.102Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:25:31.102Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21866.624 ms) ====== [2026-04-23T14:25:31.102Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-23T14:25:31.102Z] GC before operation: completed in 204.837 ms, heap usage 161.673 MB -> 87.970 MB. [2026-04-23T14:25:34.096Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:25:37.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:25:40.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:25:44.678Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:25:44.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:25:46.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:25:48.180Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:25:50.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:25:50.912Z] 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. [2026-04-23T14:25:50.912Z] The best model improves the baseline by 14.34%. [2026-04-23T14:25:50.912Z] Top recommended movies for user id 72: [2026-04-23T14:25:50.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:25:50.912Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:25:50.912Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:25:50.913Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:25:50.913Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:25:50.913Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19509.766 ms) ====== [2026-04-23T14:25:50.913Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-23T14:25:50.913Z] GC before operation: completed in 169.634 ms, heap usage 246.596 MB -> 88.754 MB. [2026-04-23T14:25:53.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:25:56.665Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:25:59.364Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:26:02.258Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:26:04.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:26:05.643Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:26:06.968Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:26:09.033Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:26:09.033Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-23T14:26:09.033Z] The best model improves the baseline by 14.34%. [2026-04-23T14:26:09.033Z] Top recommended movies for user id 72: [2026-04-23T14:26:09.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:26:09.665Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:26:09.665Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:26:09.665Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:26:09.665Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:26:09.665Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18619.824 ms) ====== [2026-04-23T14:26:09.665Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-23T14:26:09.665Z] GC before operation: completed in 151.926 ms, heap usage 294.349 MB -> 89.072 MB. [2026-04-23T14:26:12.565Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:26:15.484Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:26:18.384Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:26:20.458Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:26:21.777Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:26:23.113Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:26:25.216Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:26:26.534Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:26:26.534Z] 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. [2026-04-23T14:26:26.534Z] The best model improves the baseline by 14.34%. [2026-04-23T14:26:26.534Z] Top recommended movies for user id 72: [2026-04-23T14:26:26.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:26:26.534Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:26:26.534Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:26:26.534Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:26:26.534Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:26:26.534Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17273.556 ms) ====== [2026-04-23T14:26:26.534Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-23T14:26:27.163Z] GC before operation: completed in 143.490 ms, heap usage 169.271 MB -> 90.594 MB. [2026-04-23T14:26:30.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:26:32.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:26:34.457Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:26:36.940Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:26:38.274Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:26:40.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:26:41.680Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:26:43.013Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:26:43.013Z] 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. [2026-04-23T14:26:43.013Z] The best model improves the baseline by 14.34%. [2026-04-23T14:26:43.660Z] Top recommended movies for user id 72: [2026-04-23T14:26:43.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:26:43.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:26:43.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:26:43.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:26:43.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:26:43.660Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16466.479 ms) ====== [2026-04-23T14:26:43.660Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-23T14:26:43.660Z] GC before operation: completed in 174.732 ms, heap usage 357.279 MB -> 89.533 MB. [2026-04-23T14:26:45.847Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:26:48.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:26:51.635Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:26:53.718Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:26:55.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:26:56.354Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:26:58.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:26:59.749Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:26:59.749Z] 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. [2026-04-23T14:26:59.749Z] The best model improves the baseline by 14.34%. [2026-04-23T14:26:59.749Z] Top recommended movies for user id 72: [2026-04-23T14:26:59.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:26:59.749Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:26:59.749Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:26:59.749Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:26:59.749Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:26:59.749Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16320.539 ms) ====== [2026-04-23T14:26:59.749Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-23T14:27:00.378Z] GC before operation: completed in 194.638 ms, heap usage 305.495 MB -> 89.416 MB. [2026-04-23T14:27:02.487Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:27:04.618Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:27:07.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:27:09.652Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:27:10.987Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:27:13.067Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:27:14.390Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:27:15.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:27:16.342Z] 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. [2026-04-23T14:27:16.342Z] The best model improves the baseline by 14.34%. [2026-04-23T14:27:16.342Z] Top recommended movies for user id 72: [2026-04-23T14:27:16.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:27:16.342Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:27:16.342Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:27:16.342Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:27:16.342Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:27:16.342Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16206.484 ms) ====== [2026-04-23T14:27:16.342Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-23T14:27:16.342Z] GC before operation: completed in 210.004 ms, heap usage 162.480 MB -> 89.388 MB. [2026-04-23T14:27:19.241Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:27:21.307Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:27:24.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:27:26.049Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:27:27.391Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:27:28.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:27:30.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:27:32.128Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:27:32.128Z] 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. [2026-04-23T14:27:32.128Z] The best model improves the baseline by 14.34%. [2026-04-23T14:27:32.760Z] Top recommended movies for user id 72: [2026-04-23T14:27:32.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:27:32.760Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:27:32.760Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:27:32.760Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:27:32.760Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:27:32.760Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15988.881 ms) ====== [2026-04-23T14:27:32.760Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-23T14:27:32.760Z] GC before operation: completed in 157.395 ms, heap usage 250.712 MB -> 89.308 MB. [2026-04-23T14:27:34.820Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:27:37.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:27:39.771Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:27:42.695Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:27:44.025Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:27:45.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:27:46.661Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:27:47.984Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:27:48.619Z] 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. [2026-04-23T14:27:48.619Z] The best model improves the baseline by 14.34%. [2026-04-23T14:27:48.619Z] Top recommended movies for user id 72: [2026-04-23T14:27:48.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:27:48.619Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:27:48.619Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:27:48.619Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:27:48.619Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:27:48.619Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15912.641 ms) ====== [2026-04-23T14:27:48.619Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-23T14:27:48.619Z] GC before operation: completed in 145.865 ms, heap usage 140.986 MB -> 89.431 MB. [2026-04-23T14:27:51.487Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:27:53.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:27:55.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:27:58.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:28:00.224Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:28:01.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:28:02.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:28:04.952Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:28:04.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-23T14:28:04.952Z] The best model improves the baseline by 14.34%. [2026-04-23T14:28:04.952Z] Top recommended movies for user id 72: [2026-04-23T14:28:04.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:28:04.952Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:28:04.952Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:28:04.952Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:28:04.952Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:28:04.952Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16249.647 ms) ====== [2026-04-23T14:28:04.952Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-23T14:28:04.952Z] GC before operation: completed in 169.378 ms, heap usage 427.416 MB -> 89.635 MB. [2026-04-23T14:28:07.853Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:28:10.744Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:28:13.658Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:28:15.726Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:28:17.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:28:19.131Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:28:20.446Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:28:21.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:28:22.414Z] 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. [2026-04-23T14:28:22.414Z] The best model improves the baseline by 14.34%. [2026-04-23T14:28:22.414Z] Top recommended movies for user id 72: [2026-04-23T14:28:22.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:28:22.414Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:28:22.414Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:28:22.414Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:28:22.414Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:28:22.414Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17300.053 ms) ====== [2026-04-23T14:28:22.414Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-23T14:28:22.414Z] GC before operation: completed in 141.588 ms, heap usage 443.839 MB -> 93.432 MB. [2026-04-23T14:28:25.282Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:28:27.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:28:29.769Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:28:31.855Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:28:33.908Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:28:35.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:28:36.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:28:37.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:28:37.835Z] 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. [2026-04-23T14:28:37.835Z] The best model improves the baseline by 14.34%. [2026-04-23T14:28:37.835Z] Top recommended movies for user id 72: [2026-04-23T14:28:37.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:28:37.835Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:28:37.835Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:28:37.835Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:28:37.835Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:28:37.835Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15460.712 ms) ====== [2026-04-23T14:28:37.835Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-23T14:28:38.461Z] GC before operation: completed in 138.918 ms, heap usage 188.453 MB -> 89.466 MB. [2026-04-23T14:28:40.514Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:28:42.564Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:28:45.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:28:46.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:28:48.101Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:28:49.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:28:51.477Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:28:52.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:28:52.795Z] 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. [2026-04-23T14:28:52.795Z] The best model improves the baseline by 14.34%. [2026-04-23T14:28:52.795Z] Top recommended movies for user id 72: [2026-04-23T14:28:52.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:28:52.795Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:28:52.795Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:28:52.795Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:28:52.795Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:28:52.795Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14759.682 ms) ====== [2026-04-23T14:28:52.795Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-23T14:28:52.795Z] GC before operation: completed in 156.542 ms, heap usage 175.845 MB -> 89.242 MB. [2026-04-23T14:28:55.671Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:28:57.731Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:29:00.083Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:29:02.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:29:03.481Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:29:05.543Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:29:06.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:29:08.942Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:29:08.942Z] 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. [2026-04-23T14:29:08.942Z] The best model improves the baseline by 14.34%. [2026-04-23T14:29:08.942Z] Top recommended movies for user id 72: [2026-04-23T14:29:08.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:29:08.942Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:29:08.942Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:29:08.942Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:29:08.942Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:29:08.942Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15883.038 ms) ====== [2026-04-23T14:29:08.942Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-23T14:29:08.942Z] GC before operation: completed in 167.772 ms, heap usage 118.828 MB -> 89.471 MB. [2026-04-23T14:29:11.827Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:29:14.729Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:29:16.832Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:29:19.799Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:29:21.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:29:22.464Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:29:24.525Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:29:26.605Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:29:26.605Z] 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. [2026-04-23T14:29:26.605Z] The best model improves the baseline by 14.34%. [2026-04-23T14:29:26.605Z] Top recommended movies for user id 72: [2026-04-23T14:29:26.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:29:26.605Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:29:26.605Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:29:26.605Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:29:26.605Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:29:26.605Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17639.512 ms) ====== [2026-04-23T14:29:26.605Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-23T14:29:26.605Z] GC before operation: completed in 149.677 ms, heap usage 240.057 MB -> 89.440 MB. [2026-04-23T14:29:29.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:29:32.429Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:29:35.374Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:29:37.451Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:29:38.777Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:29:40.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:29:42.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:29:43.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:29:43.476Z] 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. [2026-04-23T14:29:43.476Z] The best model improves the baseline by 14.34%. [2026-04-23T14:29:43.476Z] Top recommended movies for user id 72: [2026-04-23T14:29:43.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:29:43.476Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:29:43.476Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:29:43.476Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:29:43.476Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:29:43.476Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16819.795 ms) ====== [2026-04-23T14:29:43.476Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-23T14:29:44.107Z] GC before operation: completed in 159.693 ms, heap usage 248.014 MB -> 89.615 MB. [2026-04-23T14:29:46.162Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:29:48.216Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:29:51.126Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:29:53.293Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:29:54.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:29:55.954Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:29:58.011Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:29:58.662Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:29:59.296Z] 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. [2026-04-23T14:29:59.296Z] The best model improves the baseline by 14.34%. [2026-04-23T14:29:59.296Z] Top recommended movies for user id 72: [2026-04-23T14:29:59.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:29:59.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:29:59.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:29:59.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:29:59.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:29:59.296Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15419.480 ms) ====== [2026-04-23T14:29:59.296Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-23T14:29:59.296Z] GC before operation: completed in 148.854 ms, heap usage 108.695 MB -> 89.235 MB. [2026-04-23T14:30:02.241Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:30:04.307Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:30:07.607Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:30:08.923Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:30:10.254Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:30:11.595Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:30:13.721Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:30:15.058Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:30:15.058Z] 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. [2026-04-23T14:30:15.058Z] The best model improves the baseline by 14.34%. [2026-04-23T14:30:15.058Z] Top recommended movies for user id 72: [2026-04-23T14:30:15.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:30:15.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:30:15.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:30:15.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:30:15.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:30:15.058Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15800.061 ms) ====== [2026-04-23T14:30:15.058Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-23T14:30:15.690Z] GC before operation: completed in 152.449 ms, heap usage 182.440 MB -> 89.393 MB. [2026-04-23T14:30:17.747Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:30:20.668Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:30:22.721Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:30:24.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:30:26.130Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:30:27.455Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:30:29.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:30:30.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:30:30.897Z] 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. [2026-04-23T14:30:30.897Z] The best model improves the baseline by 14.34%. [2026-04-23T14:30:30.897Z] Top recommended movies for user id 72: [2026-04-23T14:30:30.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-23T14:30:30.897Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-23T14:30:30.897Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-23T14:30:30.897Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-23T14:30:30.897Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-23T14:30:30.897Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15776.923 ms) ====== [2026-04-23T14:30:31.539Z] ----------------------------------- [2026-04-23T14:30:31.539Z] renaissance-movie-lens_0_PASSED [2026-04-23T14:30:31.539Z] ----------------------------------- [2026-04-23T14:30:31.539Z] [2026-04-23T14:30:31.539Z] TEST TEARDOWN: [2026-04-23T14:30:31.539Z] Nothing to be done for teardown. [2026-04-23T14:30:31.539Z] renaissance-movie-lens_0 Finish Time: Thu Apr 23 14:30:31 2026 Epoch Time (ms): 1776954631376