[2026-04-06T21:29:40.373Z] Running test renaissance-movie-lens_0 ... [2026-04-06T21:29:40.373Z] =============================================== [2026-04-06T21:29:40.373Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 21:29:40 2026 Epoch Time (ms): 1775510980333 [2026-04-06T21:29:40.373Z] variation: NoOptions [2026-04-06T21:29:40.373Z] JVM_OPTIONS: [2026-04-06T21:29:40.373Z] { \ [2026-04-06T21:29:40.373Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T21:29:40.373Z] echo "Nothing to be done for setup."; \ [2026-04-06T21:29:40.373Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17755099715063/renaissance-movie-lens_0"; \ [2026-04-06T21:29:40.373Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17755099715063/renaissance-movie-lens_0"; \ [2026-04-06T21:29:40.373Z] echo ""; echo "TESTING:"; \ [2026-04-06T21:29:40.373Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17755099715063/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-06T21:29:40.373Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17755099715063/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T21:29:40.373Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T21:29:40.373Z] echo "Nothing to be done for teardown."; \ [2026-04-06T21:29:40.373Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17755099715063/TestTargetResult"; [2026-04-06T21:29:40.373Z] [2026-04-06T21:29:40.373Z] TEST SETUP: [2026-04-06T21:29:40.373Z] Nothing to be done for setup. [2026-04-06T21:29:40.373Z] [2026-04-06T21:29:40.373Z] TESTING: [2026-04-06T21:29:46.272Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-06T21:29:53.861Z] 21:29:53.091 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. [2026-04-06T21:29:57.380Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T21:29:57.380Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T21:29:57.380Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T21:29:57.380Z] GC before operation: completed in 208.670 ms, heap usage 360.472 MB -> 74.388 MB. [2026-04-06T21:30:04.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:30:07.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:30:11.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:30:14.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:30:17.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:30:18.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:30:22.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:30:22.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:30:23.025Z] 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. [2026-04-06T21:30:23.025Z] The best model improves the baseline by 14.52%. [2026-04-06T21:30:23.025Z] Top recommended movies for user id 72: [2026-04-06T21:30:23.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:30:23.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:30:23.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:30:23.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:30:23.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:30:23.025Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26305.973 ms) ====== [2026-04-06T21:30:23.025Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T21:30:23.344Z] GC before operation: completed in 204.511 ms, heap usage 416.010 MB -> 86.894 MB. [2026-04-06T21:30:26.511Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:30:29.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:30:32.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:30:36.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:30:36.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:30:40.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:30:40.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:30:42.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:30:42.200Z] 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. [2026-04-06T21:30:42.549Z] The best model improves the baseline by 14.52%. [2026-04-06T21:30:42.549Z] Top recommended movies for user id 72: [2026-04-06T21:30:42.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:30:42.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:30:42.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:30:42.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:30:42.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:30:42.549Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19118.926 ms) ====== [2026-04-06T21:30:42.549Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T21:30:42.549Z] GC before operation: completed in 176.807 ms, heap usage 413.136 MB -> 87.705 MB. [2026-04-06T21:30:45.463Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:30:48.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:30:52.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:30:55.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:30:55.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:30:57.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:30:59.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:31:00.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:31:00.963Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-06T21:31:00.963Z] The best model improves the baseline by 14.52%. [2026-04-06T21:31:00.963Z] Top recommended movies for user id 72: [2026-04-06T21:31:00.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:31:00.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:31:00.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:31:00.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:31:00.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:31:00.963Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18314.330 ms) ====== [2026-04-06T21:31:00.963Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T21:31:01.288Z] GC before operation: completed in 199.402 ms, heap usage 536.013 MB -> 88.556 MB. [2026-04-06T21:31:04.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:31:06.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:31:09.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:31:11.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:31:13.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:31:15.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:31:17.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:31:18.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:31:18.811Z] 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. [2026-04-06T21:31:18.811Z] The best model improves the baseline by 14.52%. [2026-04-06T21:31:18.811Z] Top recommended movies for user id 72: [2026-04-06T21:31:18.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:31:18.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:31:18.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:31:18.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:31:18.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:31:18.811Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17705.543 ms) ====== [2026-04-06T21:31:18.811Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T21:31:19.134Z] GC before operation: completed in 215.514 ms, heap usage 346.900 MB -> 88.580 MB. [2026-04-06T21:31:22.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:31:25.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:31:28.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:31:30.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:31:31.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:31:33.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:31:35.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:31:36.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:31:36.694Z] 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. [2026-04-06T21:31:37.015Z] The best model improves the baseline by 14.52%. [2026-04-06T21:31:37.015Z] Top recommended movies for user id 72: [2026-04-06T21:31:37.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:31:37.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:31:37.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:31:37.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:31:37.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:31:37.015Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17907.087 ms) ====== [2026-04-06T21:31:37.015Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T21:31:37.333Z] GC before operation: completed in 196.457 ms, heap usage 354.071 MB -> 88.502 MB. [2026-04-06T21:31:40.224Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:31:42.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:31:45.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:31:47.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:31:49.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:31:50.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:31:52.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:31:53.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:31:53.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-06T21:31:53.881Z] The best model improves the baseline by 14.52%. [2026-04-06T21:31:53.881Z] Top recommended movies for user id 72: [2026-04-06T21:31:53.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:31:53.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:31:53.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:31:53.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:31:53.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:31:53.881Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16768.306 ms) ====== [2026-04-06T21:31:53.881Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T21:31:54.209Z] GC before operation: completed in 215.077 ms, heap usage 348.070 MB -> 88.815 MB. [2026-04-06T21:31:57.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:31:59.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:32:02.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:32:04.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:32:06.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:32:07.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:32:08.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:32:10.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:32:10.780Z] 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. [2026-04-06T21:32:10.780Z] The best model improves the baseline by 14.52%. [2026-04-06T21:32:10.780Z] Top recommended movies for user id 72: [2026-04-06T21:32:10.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:32:10.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:32:10.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:32:10.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:32:10.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:32:10.780Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16611.579 ms) ====== [2026-04-06T21:32:10.780Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T21:32:11.098Z] GC before operation: completed in 186.469 ms, heap usage 483.628 MB -> 88.953 MB. [2026-04-06T21:32:13.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:32:16.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:32:19.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:32:21.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:32:23.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:32:24.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:32:25.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:32:27.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:32:27.543Z] 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. [2026-04-06T21:32:27.543Z] The best model improves the baseline by 14.52%. [2026-04-06T21:32:27.861Z] Top recommended movies for user id 72: [2026-04-06T21:32:27.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:32:27.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:32:27.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:32:27.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:32:27.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:32:27.861Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16836.155 ms) ====== [2026-04-06T21:32:27.861Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T21:32:27.861Z] GC before operation: completed in 174.088 ms, heap usage 339.016 MB -> 88.996 MB. [2026-04-06T21:32:30.756Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:32:32.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:32:35.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:32:38.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:32:39.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:32:40.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:32:42.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:32:44.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:32:44.376Z] 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. [2026-04-06T21:32:44.376Z] The best model improves the baseline by 14.52%. [2026-04-06T21:32:44.376Z] Top recommended movies for user id 72: [2026-04-06T21:32:44.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:32:44.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:32:44.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:32:44.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:32:44.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:32:44.376Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16407.434 ms) ====== [2026-04-06T21:32:44.376Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T21:32:44.713Z] GC before operation: completed in 194.039 ms, heap usage 187.067 MB -> 88.670 MB. [2026-04-06T21:32:47.611Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:32:49.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:32:52.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:32:55.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:32:56.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:32:57.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:32:59.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:33:00.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:33:00.915Z] 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. [2026-04-06T21:33:00.915Z] The best model improves the baseline by 14.52%. [2026-04-06T21:33:01.233Z] Top recommended movies for user id 72: [2026-04-06T21:33:01.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:33:01.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:33:01.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:33:01.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:33:01.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:33:01.233Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16581.396 ms) ====== [2026-04-06T21:33:01.233Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T21:33:01.233Z] GC before operation: completed in 196.409 ms, heap usage 438.072 MB -> 89.197 MB. [2026-04-06T21:33:04.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:33:06.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:33:09.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:33:11.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:33:13.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:33:14.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:33:15.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:33:17.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:33:17.797Z] 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. [2026-04-06T21:33:17.797Z] The best model improves the baseline by 14.52%. [2026-04-06T21:33:17.797Z] Top recommended movies for user id 72: [2026-04-06T21:33:17.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:33:17.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:33:17.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:33:17.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:33:17.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:33:17.797Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16481.623 ms) ====== [2026-04-06T21:33:17.797Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T21:33:18.141Z] GC before operation: completed in 186.567 ms, heap usage 215.599 MB -> 88.625 MB. [2026-04-06T21:33:21.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:33:23.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:33:26.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:33:27.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:33:29.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:33:31.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:33:32.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:33:33.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:33:34.198Z] 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. [2026-04-06T21:33:34.198Z] The best model improves the baseline by 14.52%. [2026-04-06T21:33:34.198Z] Top recommended movies for user id 72: [2026-04-06T21:33:34.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:33:34.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:33:34.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:33:34.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:33:34.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:33:34.198Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16278.651 ms) ====== [2026-04-06T21:33:34.198Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T21:33:34.518Z] GC before operation: completed in 192.310 ms, heap usage 316.502 MB -> 88.975 MB. [2026-04-06T21:33:37.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:33:40.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:33:42.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:33:44.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:33:46.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:33:48.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:33:49.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:33:50.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:33:51.080Z] 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. [2026-04-06T21:33:51.080Z] The best model improves the baseline by 14.52%. [2026-04-06T21:33:51.400Z] Top recommended movies for user id 72: [2026-04-06T21:33:51.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:33:51.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:33:51.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:33:51.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:33:51.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:33:51.400Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16712.500 ms) ====== [2026-04-06T21:33:51.400Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T21:33:51.400Z] GC before operation: completed in 196.313 ms, heap usage 144.696 MB -> 88.803 MB. [2026-04-06T21:33:54.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:33:56.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:33:59.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:34:01.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:34:03.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:34:04.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:34:05.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:34:07.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:34:07.893Z] 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. [2026-04-06T21:34:07.893Z] The best model improves the baseline by 14.52%. [2026-04-06T21:34:07.893Z] Top recommended movies for user id 72: [2026-04-06T21:34:07.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:34:07.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:34:07.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:34:07.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:34:07.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:34:07.894Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16482.314 ms) ====== [2026-04-06T21:34:07.894Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T21:34:08.214Z] GC before operation: completed in 178.104 ms, heap usage 424.930 MB -> 89.022 MB. [2026-04-06T21:34:11.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:34:13.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:34:15.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:34:18.573Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:34:19.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:34:21.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:34:22.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:34:24.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:34:24.366Z] 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. [2026-04-06T21:34:24.366Z] The best model improves the baseline by 14.52%. [2026-04-06T21:34:24.366Z] Top recommended movies for user id 72: [2026-04-06T21:34:24.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:34:24.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:34:24.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:34:24.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:34:24.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:34:24.366Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16367.781 ms) ====== [2026-04-06T21:34:24.366Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T21:34:24.686Z] GC before operation: completed in 184.157 ms, heap usage 512.080 MB -> 89.397 MB. [2026-04-06T21:34:26.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:34:29.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:34:32.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:34:34.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:34:35.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:34:37.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:34:38.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:34:40.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:34:40.616Z] 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. [2026-04-06T21:34:40.616Z] The best model improves the baseline by 14.52%. [2026-04-06T21:34:40.616Z] Top recommended movies for user id 72: [2026-04-06T21:34:40.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:34:40.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:34:40.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:34:40.616Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:34:40.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:34:40.616Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15966.966 ms) ====== [2026-04-06T21:34:40.616Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T21:34:40.947Z] GC before operation: completed in 199.925 ms, heap usage 358.981 MB -> 88.953 MB. [2026-04-06T21:34:43.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:34:46.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:34:48.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:34:50.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:34:52.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:34:53.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:34:54.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:34:56.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:34:56.467Z] 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. [2026-04-06T21:34:56.467Z] The best model improves the baseline by 14.52%. [2026-04-06T21:34:56.786Z] Top recommended movies for user id 72: [2026-04-06T21:34:56.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:34:56.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:34:56.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:34:56.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:34:56.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:34:56.786Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15855.930 ms) ====== [2026-04-06T21:34:56.786Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T21:34:56.786Z] GC before operation: completed in 206.447 ms, heap usage 424.281 MB -> 89.182 MB. [2026-04-06T21:34:59.690Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:35:01.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:35:04.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:35:07.009Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:35:08.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:35:10.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:35:11.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:35:13.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:35:13.143Z] 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. [2026-04-06T21:35:13.143Z] The best model improves the baseline by 14.52%. [2026-04-06T21:35:13.464Z] Top recommended movies for user id 72: [2026-04-06T21:35:13.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:35:13.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:35:13.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:35:13.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:35:13.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:35:13.464Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16530.593 ms) ====== [2026-04-06T21:35:13.464Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T21:35:13.464Z] GC before operation: completed in 173.559 ms, heap usage 406.435 MB -> 88.995 MB. [2026-04-06T21:35:16.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:35:18.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:35:21.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:35:23.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:35:24.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:35:26.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:35:28.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:35:29.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:35:29.490Z] 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. [2026-04-06T21:35:29.490Z] The best model improves the baseline by 14.52%. [2026-04-06T21:35:29.809Z] Top recommended movies for user id 72: [2026-04-06T21:35:29.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:35:29.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:35:29.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:35:29.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:35:29.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:35:29.809Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16094.931 ms) ====== [2026-04-06T21:35:29.809Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T21:35:29.809Z] GC before operation: completed in 185.087 ms, heap usage 417.163 MB -> 89.077 MB. [2026-04-06T21:35:32.716Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:35:34.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:35:37.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:35:40.165Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:35:41.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:35:42.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:35:44.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:35:45.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:35:45.963Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-06T21:35:45.963Z] The best model improves the baseline by 14.52%. [2026-04-06T21:35:45.963Z] Top recommended movies for user id 72: [2026-04-06T21:35:45.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:35:45.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:35:45.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:35:45.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:35:45.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:35:45.963Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16151.326 ms) ====== [2026-04-06T21:35:47.087Z] ----------------------------------- [2026-04-06T21:35:47.087Z] renaissance-movie-lens_0_PASSED [2026-04-06T21:35:47.087Z] ----------------------------------- [2026-04-06T21:35:47.087Z] [2026-04-06T21:35:47.087Z] TEST TEARDOWN: [2026-04-06T21:35:47.087Z] Nothing to be done for teardown. [2026-04-06T21:35:47.087Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 21:35:46 2026 Epoch Time (ms): 1775511346697