[2026-03-18T01:39:40.174Z] Running test renaissance-movie-lens_0 ... [2026-03-18T01:39:40.174Z] =============================================== [2026-03-18T01:39:40.174Z] renaissance-movie-lens_0 Start Time: Wed Mar 18 01:39:39 2026 Epoch Time (ms): 1773797979821 [2026-03-18T01:39:40.174Z] variation: NoOptions [2026-03-18T01:39:40.174Z] JVM_OPTIONS: [2026-03-18T01:39:40.174Z] { \ [2026-03-18T01:39:40.174Z] echo ""; echo "TEST SETUP:"; \ [2026-03-18T01:39:40.174Z] echo "Nothing to be done for setup."; \ [2026-03-18T01:39:40.175Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17737972982983/renaissance-movie-lens_0"; \ [2026-03-18T01:39:40.175Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17737972982983/renaissance-movie-lens_0"; \ [2026-03-18T01:39:40.175Z] echo ""; echo "TESTING:"; \ [2026-03-18T01:39:40.175Z] "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/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_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17737972982983/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-18T01:39:40.175Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17737972982983/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-18T01:39:40.175Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-18T01:39:40.175Z] echo "Nothing to be done for teardown."; \ [2026-03-18T01:39:40.175Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17737972982983/TestTargetResult"; [2026-03-18T01:39:40.175Z] [2026-03-18T01:39:40.175Z] TEST SETUP: [2026-03-18T01:39:40.175Z] Nothing to be done for setup. [2026-03-18T01:39:40.175Z] [2026-03-18T01:39:40.175Z] TESTING: [2026-03-18T01:39:40.921Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-18T01:39:40.921Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-18T01:39:40.921Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-18T01:39:40.921Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-18T01:39:49.004Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-18T01:39:57.101Z] 01:39:56.069 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-18T01:39:58.648Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-18T01:39:59.400Z] Training: 60056, validation: 20285, test: 19854 [2026-03-18T01:39:59.400Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-18T01:39:59.400Z] GC before operation: completed in 120.293 ms, heap usage 659.000 MB -> 77.311 MB. [2026-03-18T01:40:06.115Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:40:09.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:40:13.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:40:15.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:40:18.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:40:19.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:40:21.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:40:22.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:40:22.803Z] 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. [2026-03-18T01:40:22.803Z] The best model improves the baseline by 14.52%. [2026-03-18T01:40:23.554Z] Top recommended movies for user id 72: [2026-03-18T01:40:23.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:40:23.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:40:23.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:40:23.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:40:23.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:40:23.554Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24066.735 ms) ====== [2026-03-18T01:40:23.554Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-18T01:40:23.554Z] GC before operation: completed in 139.224 ms, heap usage 146.137 MB -> 88.752 MB. [2026-03-18T01:40:29.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:40:32.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:40:34.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:40:37.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:40:38.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:40:40.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:40:41.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:40:44.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:40:44.242Z] 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. [2026-03-18T01:40:44.242Z] The best model improves the baseline by 14.52%. [2026-03-18T01:40:44.242Z] Top recommended movies for user id 72: [2026-03-18T01:40:44.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:40:44.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:40:44.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:40:44.242Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:40:44.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:40:44.242Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20656.618 ms) ====== [2026-03-18T01:40:44.242Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-18T01:40:44.242Z] GC before operation: completed in 120.317 ms, heap usage 761.482 MB -> 94.162 MB. [2026-03-18T01:40:46.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:40:50.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:40:52.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:40:54.894Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:40:56.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:40:57.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:40:59.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:41:00.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:41:01.034Z] 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. [2026-03-18T01:41:01.034Z] The best model improves the baseline by 14.52%. [2026-03-18T01:41:01.034Z] Top recommended movies for user id 72: [2026-03-18T01:41:01.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:41:01.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:41:01.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:41:01.034Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:41:01.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:41:01.034Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16632.600 ms) ====== [2026-03-18T01:41:01.034Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-18T01:41:01.034Z] GC before operation: completed in 127.286 ms, heap usage 370.368 MB -> 90.997 MB. [2026-03-18T01:41:03.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:41:05.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:41:08.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:41:10.692Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:41:12.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:41:13.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:41:15.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:41:16.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:41:16.892Z] 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. [2026-03-18T01:41:16.892Z] The best model improves the baseline by 14.52%. [2026-03-18T01:41:16.892Z] Top recommended movies for user id 72: [2026-03-18T01:41:16.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:41:16.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:41:16.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:41:16.892Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:41:16.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:41:16.892Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15870.857 ms) ====== [2026-03-18T01:41:16.892Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-18T01:41:16.892Z] GC before operation: completed in 134.883 ms, heap usage 742.965 MB -> 95.002 MB. [2026-03-18T01:41:19.299Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:41:21.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:41:24.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:41:26.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:41:28.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:41:29.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:41:31.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:41:32.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:41:32.708Z] 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. [2026-03-18T01:41:32.708Z] The best model improves the baseline by 14.52%. [2026-03-18T01:41:32.708Z] Top recommended movies for user id 72: [2026-03-18T01:41:32.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:41:32.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:41:32.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:41:32.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:41:32.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:41:32.708Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15840.532 ms) ====== [2026-03-18T01:41:32.708Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-18T01:41:32.708Z] GC before operation: completed in 127.065 ms, heap usage 877.237 MB -> 95.290 MB. [2026-03-18T01:41:35.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:41:38.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:41:40.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:41:42.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:41:44.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:41:45.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:41:46.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:41:48.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:41:48.279Z] 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. [2026-03-18T01:41:49.029Z] The best model improves the baseline by 14.52%. [2026-03-18T01:41:49.029Z] Top recommended movies for user id 72: [2026-03-18T01:41:49.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:41:49.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:41:49.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:41:49.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:41:49.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:41:49.029Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15806.531 ms) ====== [2026-03-18T01:41:49.029Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-18T01:41:49.029Z] GC before operation: completed in 133.574 ms, heap usage 1.113 GB -> 96.653 MB. [2026-03-18T01:41:51.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:41:53.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:41:56.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:41:58.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:42:00.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:42:01.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:42:03.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:42:04.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:42:04.048Z] 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. [2026-03-18T01:42:04.792Z] The best model improves the baseline by 14.52%. [2026-03-18T01:42:04.792Z] Top recommended movies for user id 72: [2026-03-18T01:42:04.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:42:04.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:42:04.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:42:04.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:42:04.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:42:04.792Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15645.673 ms) ====== [2026-03-18T01:42:04.792Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-18T01:42:04.792Z] GC before operation: completed in 127.037 ms, heap usage 865.326 MB -> 95.619 MB. [2026-03-18T01:42:07.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:42:09.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:42:11.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:42:14.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:42:15.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:42:17.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:42:18.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:42:19.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:42:20.284Z] 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. [2026-03-18T01:42:20.284Z] The best model improves the baseline by 14.52%. [2026-03-18T01:42:20.284Z] Top recommended movies for user id 72: [2026-03-18T01:42:20.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:42:20.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:42:20.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:42:20.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:42:20.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:42:20.284Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15550.937 ms) ====== [2026-03-18T01:42:20.284Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-18T01:42:20.284Z] GC before operation: completed in 128.607 ms, heap usage 939.704 MB -> 96.205 MB. [2026-03-18T01:42:22.688Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:42:25.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:42:27.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:42:29.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:42:31.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:42:32.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:42:34.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:42:35.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:42:36.052Z] 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. [2026-03-18T01:42:36.052Z] The best model improves the baseline by 14.52%. [2026-03-18T01:42:36.052Z] Top recommended movies for user id 72: [2026-03-18T01:42:36.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:42:36.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:42:36.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:42:36.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:42:36.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:42:36.052Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15524.716 ms) ====== [2026-03-18T01:42:36.052Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-18T01:42:36.052Z] GC before operation: completed in 129.946 ms, heap usage 1.198 GB -> 96.928 MB. [2026-03-18T01:42:38.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:42:40.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:42:43.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:42:45.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:42:46.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:42:47.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:42:49.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:42:51.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:42:51.105Z] 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. [2026-03-18T01:42:51.105Z] The best model improves the baseline by 14.52%. [2026-03-18T01:42:51.105Z] Top recommended movies for user id 72: [2026-03-18T01:42:51.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:42:51.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:42:51.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:42:51.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:42:51.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:42:51.106Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15077.710 ms) ====== [2026-03-18T01:42:51.106Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-18T01:42:51.106Z] GC before operation: completed in 127.031 ms, heap usage 908.206 MB -> 96.266 MB. [2026-03-18T01:42:53.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:42:55.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:42:58.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:43:00.734Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:43:02.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:43:03.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:43:04.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:43:06.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:43:06.144Z] 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. [2026-03-18T01:43:06.144Z] The best model improves the baseline by 14.52%. [2026-03-18T01:43:06.144Z] Top recommended movies for user id 72: [2026-03-18T01:43:06.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:43:06.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:43:06.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:43:06.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:43:06.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:43:06.144Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15290.147 ms) ====== [2026-03-18T01:43:06.144Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-18T01:43:06.892Z] GC before operation: completed in 123.716 ms, heap usage 281.895 MB -> 91.431 MB. [2026-03-18T01:43:09.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:43:10.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:43:13.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:43:15.658Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:43:17.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:43:17.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:43:19.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:43:21.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:43:21.175Z] 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. [2026-03-18T01:43:21.175Z] The best model improves the baseline by 14.52%. [2026-03-18T01:43:21.175Z] Top recommended movies for user id 72: [2026-03-18T01:43:21.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:43:21.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:43:21.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:43:21.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:43:21.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:43:21.175Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14672.985 ms) ====== [2026-03-18T01:43:21.175Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-18T01:43:21.175Z] GC before operation: completed in 123.131 ms, heap usage 485.706 MB -> 91.944 MB. [2026-03-18T01:43:23.574Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:43:25.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:43:28.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:43:30.812Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:43:32.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:43:33.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:43:35.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:43:36.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:43:36.723Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T01:43:36.723Z] The best model improves the baseline by 14.52%. [2026-03-18T01:43:36.723Z] Top recommended movies for user id 72: [2026-03-18T01:43:36.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:43:36.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:43:36.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:43:36.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:43:36.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:43:36.723Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15309.391 ms) ====== [2026-03-18T01:43:36.723Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-18T01:43:36.723Z] GC before operation: completed in 127.642 ms, heap usage 1.000 GB -> 96.650 MB. [2026-03-18T01:43:40.061Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:43:41.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:43:44.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:43:46.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:43:47.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:43:49.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:43:50.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:43:51.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:43:51.843Z] 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. [2026-03-18T01:43:51.843Z] The best model improves the baseline by 14.52%. [2026-03-18T01:43:51.843Z] Top recommended movies for user id 72: [2026-03-18T01:43:51.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:43:51.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:43:51.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:43:51.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:43:51.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:43:51.843Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15191.643 ms) ====== [2026-03-18T01:43:51.843Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-18T01:43:51.843Z] GC before operation: completed in 126.115 ms, heap usage 860.185 MB -> 95.748 MB. [2026-03-18T01:43:54.252Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:43:56.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:43:59.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:44:01.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:44:03.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:44:03.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:44:05.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:44:06.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:44:06.885Z] 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. [2026-03-18T01:44:06.885Z] The best model improves the baseline by 14.52%. [2026-03-18T01:44:06.885Z] Top recommended movies for user id 72: [2026-03-18T01:44:06.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:44:06.885Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:44:06.885Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:44:06.885Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:44:06.885Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:44:06.885Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14801.591 ms) ====== [2026-03-18T01:44:06.885Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-18T01:44:06.885Z] GC before operation: completed in 128.189 ms, heap usage 281.120 MB -> 91.756 MB. [2026-03-18T01:44:09.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:44:11.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:44:13.750Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:44:16.150Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:44:17.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:44:18.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:44:19.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:44:21.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:44:21.559Z] 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. [2026-03-18T01:44:21.559Z] The best model improves the baseline by 14.52%. [2026-03-18T01:44:21.559Z] Top recommended movies for user id 72: [2026-03-18T01:44:21.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:44:21.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:44:21.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:44:21.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:44:21.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:44:21.559Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14709.100 ms) ====== [2026-03-18T01:44:21.559Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-18T01:44:22.305Z] GC before operation: completed in 129.325 ms, heap usage 299.523 MB -> 91.700 MB. [2026-03-18T01:44:24.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:44:26.272Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:44:28.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:44:31.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:44:32.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:44:33.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:44:34.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:44:36.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:44:36.496Z] 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. [2026-03-18T01:44:36.496Z] The best model improves the baseline by 14.52%. [2026-03-18T01:44:36.496Z] Top recommended movies for user id 72: [2026-03-18T01:44:36.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:44:36.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:44:36.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:44:36.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:44:36.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:44:36.497Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14651.113 ms) ====== [2026-03-18T01:44:36.497Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-18T01:44:36.497Z] GC before operation: completed in 130.066 ms, heap usage 1.040 GB -> 96.686 MB. [2026-03-18T01:44:38.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:44:41.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:44:43.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:44:46.126Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:44:46.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:44:48.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:44:49.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:44:50.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:44:50.951Z] 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. [2026-03-18T01:44:50.951Z] The best model improves the baseline by 14.52%. [2026-03-18T01:44:50.952Z] Top recommended movies for user id 72: [2026-03-18T01:44:50.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:44:50.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:44:50.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:44:50.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:44:50.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:44:50.952Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14528.286 ms) ====== [2026-03-18T01:44:50.952Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-18T01:44:51.699Z] GC before operation: completed in 128.099 ms, heap usage 275.629 MB -> 91.575 MB. [2026-03-18T01:44:54.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:44:55.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:44:58.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:45:00.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:45:02.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:45:02.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:45:04.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:45:05.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:45:05.878Z] 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. [2026-03-18T01:45:05.878Z] The best model improves the baseline by 14.52%. [2026-03-18T01:45:05.878Z] Top recommended movies for user id 72: [2026-03-18T01:45:05.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:45:05.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:45:05.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:45:05.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:45:05.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:45:05.878Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14727.518 ms) ====== [2026-03-18T01:45:05.878Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-18T01:45:05.878Z] GC before operation: completed in 116.408 ms, heap usage 198.733 MB -> 92.737 MB. [2026-03-18T01:45:08.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:45:10.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:45:13.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:45:14.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:45:16.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:45:17.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:45:18.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:45:20.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:45:20.053Z] 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. [2026-03-18T01:45:20.053Z] The best model improves the baseline by 14.52%. [2026-03-18T01:45:20.053Z] Top recommended movies for user id 72: [2026-03-18T01:45:20.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T01:45:20.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T01:45:20.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T01:45:20.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T01:45:20.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T01:45:20.053Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14130.139 ms) ====== [2026-03-18T01:45:20.798Z] ----------------------------------- [2026-03-18T01:45:20.799Z] renaissance-movie-lens_0_PASSED [2026-03-18T01:45:20.799Z] ----------------------------------- [2026-03-18T01:45:20.799Z] [2026-03-18T01:45:20.799Z] TEST TEARDOWN: [2026-03-18T01:45:20.799Z] Nothing to be done for teardown. [2026-03-18T01:45:20.799Z] renaissance-movie-lens_0 Finish Time: Wed Mar 18 01:45:20 2026 Epoch Time (ms): 1773798320644