[2026-01-14T13:52:13.173Z] Running test renaissance-movie-lens_0 ... [2026-01-14T13:52:13.173Z] =============================================== [2026-01-14T13:52:13.174Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 13:52:12 2026 Epoch Time (ms): 1768398732267 [2026-01-14T13:52:13.174Z] variation: NoOptions [2026-01-14T13:52:13.174Z] JVM_OPTIONS: [2026-01-14T13:52:13.174Z] { \ [2026-01-14T13:52:13.174Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T13:52:13.174Z] echo "Nothing to be done for setup."; \ [2026-01-14T13:52:13.174Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683972986621/renaissance-movie-lens_0"; \ [2026-01-14T13:52:13.174Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683972986621/renaissance-movie-lens_0"; \ [2026-01-14T13:52:13.174Z] echo ""; echo "TESTING:"; \ [2026-01-14T13:52:13.174Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683972986621/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T13:52:13.174Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683972986621/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T13:52:13.174Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T13:52:13.174Z] echo "Nothing to be done for teardown."; \ [2026-01-14T13:52:13.174Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683972986621/TestTargetResult"; [2026-01-14T13:52:13.174Z] [2026-01-14T13:52:13.174Z] TEST SETUP: [2026-01-14T13:52:13.174Z] Nothing to be done for setup. [2026-01-14T13:52:13.174Z] [2026-01-14T13:52:13.174Z] TESTING: [2026-01-14T13:52:13.174Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-14T13:52:13.174Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17683972986621/renaissance-movie-lens_0/launcher-135212-2553633910206711580/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-14T13:52:13.174Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-14T13:52:13.174Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-14T13:52:17.807Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T13:52:24.738Z] 13:52:24.262 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T13:52:26.703Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T13:52:27.661Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T13:52:27.661Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T13:52:27.661Z] GC before operation: completed in 141.710 ms, heap usage 294.424 MB -> 75.668 MB. [2026-01-14T13:52:33.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:52:36.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:52:39.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:52:42.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:52:43.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:52:45.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:52:47.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:52:49.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:52:49.035Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T13:52:49.035Z] The best model improves the baseline by 14.52%. [2026-01-14T13:52:49.993Z] Top recommended movies for user id 72: [2026-01-14T13:52:49.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:52:49.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:52:49.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:52:49.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:52:49.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:52:49.993Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22273.882 ms) ====== [2026-01-14T13:52:49.993Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T13:52:49.993Z] GC before operation: completed in 142.650 ms, heap usage 121.329 MB -> 86.153 MB. [2026-01-14T13:52:51.969Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:52:55.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:52:56.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:53:00.007Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:53:00.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:53:02.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:53:03.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:53:05.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:53:05.879Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T13:53:05.879Z] The best model improves the baseline by 14.52%. [2026-01-14T13:53:05.879Z] Top recommended movies for user id 72: [2026-01-14T13:53:05.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:53:05.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:53:05.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:53:05.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:53:05.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:53:05.879Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16163.044 ms) ====== [2026-01-14T13:53:05.879Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T13:53:05.879Z] GC before operation: completed in 148.077 ms, heap usage 614.923 MB -> 92.238 MB. [2026-01-14T13:53:08.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:53:10.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:53:13.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:53:15.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:53:18.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:53:19.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:53:20.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:53:22.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:53:22.643Z] 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. [2026-01-14T13:53:22.643Z] The best model improves the baseline by 14.52%. [2026-01-14T13:53:22.643Z] Top recommended movies for user id 72: [2026-01-14T13:53:22.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:53:22.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:53:22.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:53:22.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:53:22.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:53:22.643Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16621.229 ms) ====== [2026-01-14T13:53:22.643Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T13:53:22.643Z] GC before operation: completed in 143.100 ms, heap usage 293.504 MB -> 89.325 MB. [2026-01-14T13:53:24.743Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:53:27.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:53:29.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:53:32.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:53:33.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:53:35.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:53:36.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:53:38.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:53:38.636Z] 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. [2026-01-14T13:53:38.636Z] The best model improves the baseline by 14.52%. [2026-01-14T13:53:38.636Z] Top recommended movies for user id 72: [2026-01-14T13:53:38.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:53:38.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:53:38.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:53:38.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:53:38.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:53:38.636Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16048.049 ms) ====== [2026-01-14T13:53:38.636Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T13:53:38.636Z] GC before operation: completed in 176.253 ms, heap usage 421.566 MB -> 89.645 MB. [2026-01-14T13:53:41.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:53:43.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:53:46.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:53:48.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:53:49.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:53:51.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:53:52.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:53:54.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:53:54.505Z] 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. [2026-01-14T13:53:54.505Z] The best model improves the baseline by 14.52%. [2026-01-14T13:53:54.505Z] Top recommended movies for user id 72: [2026-01-14T13:53:54.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:53:54.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:53:54.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:53:54.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:53:54.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:53:54.506Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15645.462 ms) ====== [2026-01-14T13:53:54.506Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T13:53:54.506Z] GC before operation: completed in 175.944 ms, heap usage 405.205 MB -> 89.623 MB. [2026-01-14T13:53:57.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:53:59.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:54:01.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:54:04.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:54:05.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:54:06.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:54:08.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:54:09.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:54:09.389Z] 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. [2026-01-14T13:54:09.389Z] The best model improves the baseline by 14.52%. [2026-01-14T13:54:09.389Z] Top recommended movies for user id 72: [2026-01-14T13:54:09.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:54:09.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:54:09.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:54:09.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:54:09.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:54:09.389Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14942.114 ms) ====== [2026-01-14T13:54:09.389Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T13:54:10.351Z] GC before operation: completed in 140.052 ms, heap usage 504.947 MB -> 90.094 MB. [2026-01-14T13:54:12.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:54:14.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:54:16.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:54:20.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:54:20.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:54:21.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:54:23.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:54:24.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:54:25.027Z] 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. [2026-01-14T13:54:25.027Z] The best model improves the baseline by 14.52%. [2026-01-14T13:54:25.027Z] Top recommended movies for user id 72: [2026-01-14T13:54:25.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:54:25.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:54:25.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:54:25.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:54:25.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:54:25.027Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14904.288 ms) ====== [2026-01-14T13:54:25.027Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T13:54:25.027Z] GC before operation: completed in 170.345 ms, heap usage 378.062 MB -> 89.832 MB. [2026-01-14T13:54:26.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:54:30.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:54:32.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:54:33.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:54:35.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:54:36.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:54:38.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:54:39.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:54:40.799Z] 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. [2026-01-14T13:54:40.799Z] The best model improves the baseline by 14.52%. [2026-01-14T13:54:40.799Z] Top recommended movies for user id 72: [2026-01-14T13:54:40.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:54:40.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:54:40.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:54:40.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:54:40.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:54:40.799Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15465.647 ms) ====== [2026-01-14T13:54:40.799Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T13:54:40.800Z] GC before operation: completed in 153.701 ms, heap usage 299.581 MB -> 89.998 MB. [2026-01-14T13:54:42.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:54:44.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:54:47.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:54:49.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:54:50.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:54:52.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:54:53.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:54:55.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:54:55.612Z] 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. [2026-01-14T13:54:55.612Z] The best model improves the baseline by 14.52%. [2026-01-14T13:54:55.612Z] Top recommended movies for user id 72: [2026-01-14T13:54:55.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:54:55.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:54:55.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:54:55.612Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:54:55.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:54:55.612Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14846.439 ms) ====== [2026-01-14T13:54:55.612Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T13:54:55.612Z] GC before operation: completed in 139.579 ms, heap usage 383.999 MB -> 89.999 MB. [2026-01-14T13:54:57.579Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:55:00.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:55:02.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:55:04.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:55:06.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:55:07.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:55:09.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:55:10.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:55:10.398Z] 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. [2026-01-14T13:55:10.398Z] The best model improves the baseline by 14.52%. [2026-01-14T13:55:11.358Z] Top recommended movies for user id 72: [2026-01-14T13:55:11.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:55:11.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:55:11.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:55:11.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:55:11.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:55:11.358Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15259.571 ms) ====== [2026-01-14T13:55:11.358Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T13:55:11.358Z] GC before operation: completed in 131.368 ms, heap usage 157.818 MB -> 89.837 MB. [2026-01-14T13:55:13.331Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:55:15.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:55:18.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:55:20.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:55:21.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:55:23.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:55:24.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:55:25.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:55:26.583Z] 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. [2026-01-14T13:55:26.583Z] The best model improves the baseline by 14.52%. [2026-01-14T13:55:26.583Z] Top recommended movies for user id 72: [2026-01-14T13:55:26.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:55:26.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:55:26.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:55:26.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:55:26.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:55:26.583Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15541.307 ms) ====== [2026-01-14T13:55:26.583Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T13:55:26.583Z] GC before operation: completed in 180.715 ms, heap usage 373.911 MB -> 89.877 MB. [2026-01-14T13:55:28.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:55:31.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:55:33.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:55:35.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:55:36.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:55:37.462Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:55:39.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:55:40.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:55:40.432Z] 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. [2026-01-14T13:55:40.432Z] The best model improves the baseline by 14.52%. [2026-01-14T13:55:40.432Z] Top recommended movies for user id 72: [2026-01-14T13:55:40.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:55:40.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:55:40.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:55:40.432Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:55:40.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:55:40.432Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13772.111 ms) ====== [2026-01-14T13:55:40.432Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T13:55:40.432Z] GC before operation: completed in 143.918 ms, heap usage 479.579 MB -> 90.295 MB. [2026-01-14T13:55:42.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:55:44.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:55:47.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:55:48.372Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:55:50.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:55:51.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:55:52.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:55:54.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:55:54.229Z] 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. [2026-01-14T13:55:54.229Z] The best model improves the baseline by 14.52%. [2026-01-14T13:55:54.229Z] Top recommended movies for user id 72: [2026-01-14T13:55:54.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:55:54.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:55:54.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:55:54.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:55:54.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:55:54.229Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13462.307 ms) ====== [2026-01-14T13:55:54.229Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T13:55:54.229Z] GC before operation: completed in 136.000 ms, heap usage 169.273 MB -> 90.047 MB. [2026-01-14T13:55:56.195Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:55:58.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:56:00.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:56:02.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:56:03.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:56:04.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:56:05.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:56:06.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:56:07.902Z] 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. [2026-01-14T13:56:07.902Z] The best model improves the baseline by 14.52%. [2026-01-14T13:56:07.902Z] Top recommended movies for user id 72: [2026-01-14T13:56:07.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:56:07.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:56:07.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:56:07.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:56:07.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:56:07.902Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13405.347 ms) ====== [2026-01-14T13:56:07.902Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T13:56:07.902Z] GC before operation: completed in 123.911 ms, heap usage 291.073 MB -> 90.046 MB. [2026-01-14T13:56:09.877Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:56:11.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:56:14.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:56:16.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:56:17.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:56:20.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:56:21.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:56:22.587Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:56:22.587Z] 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. [2026-01-14T13:56:22.587Z] The best model improves the baseline by 14.52%. [2026-01-14T13:56:22.587Z] Top recommended movies for user id 72: [2026-01-14T13:56:22.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:56:22.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:56:22.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:56:22.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:56:22.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:56:22.587Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14841.307 ms) ====== [2026-01-14T13:56:22.587Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T13:56:22.587Z] GC before operation: completed in 131.684 ms, heap usage 107.023 MB -> 91.903 MB. [2026-01-14T13:56:24.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:56:27.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:56:29.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:56:31.529Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:56:32.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:56:34.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:56:36.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:56:37.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:56:37.395Z] 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. [2026-01-14T13:56:37.395Z] The best model improves the baseline by 14.52%. [2026-01-14T13:56:37.395Z] Top recommended movies for user id 72: [2026-01-14T13:56:37.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:56:37.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:56:37.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:56:37.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:56:37.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:56:37.395Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14834.650 ms) ====== [2026-01-14T13:56:37.395Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T13:56:37.395Z] GC before operation: completed in 131.581 ms, heap usage 317.639 MB -> 90.024 MB. [2026-01-14T13:56:40.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:56:41.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:56:44.498Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:56:46.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:56:47.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:56:48.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:56:50.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:56:51.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:56:52.276Z] 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. [2026-01-14T13:56:52.276Z] The best model improves the baseline by 14.52%. [2026-01-14T13:56:52.276Z] Top recommended movies for user id 72: [2026-01-14T13:56:52.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:56:52.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:56:52.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:56:52.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:56:52.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:56:52.276Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14282.161 ms) ====== [2026-01-14T13:56:52.276Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T13:56:52.276Z] GC before operation: completed in 127.666 ms, heap usage 369.324 MB -> 90.295 MB. [2026-01-14T13:56:54.254Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:56:56.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:56:59.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:57:01.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:57:02.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:57:04.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:57:05.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:57:06.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:57:07.064Z] 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. [2026-01-14T13:57:07.064Z] The best model improves the baseline by 14.52%. [2026-01-14T13:57:07.064Z] Top recommended movies for user id 72: [2026-01-14T13:57:07.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:57:07.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:57:07.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:57:07.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:57:07.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:57:07.064Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14693.300 ms) ====== [2026-01-14T13:57:07.064Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T13:57:07.064Z] GC before operation: completed in 135.214 ms, heap usage 100.364 MB -> 89.588 MB. [2026-01-14T13:57:09.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:57:11.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:57:12.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:57:14.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:57:16.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:57:17.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:57:19.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:57:21.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:57:21.354Z] 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. [2026-01-14T13:57:21.354Z] The best model improves the baseline by 14.52%. [2026-01-14T13:57:21.354Z] Top recommended movies for user id 72: [2026-01-14T13:57:21.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:57:21.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:57:21.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:57:21.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:57:21.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:57:21.355Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14258.408 ms) ====== [2026-01-14T13:57:21.355Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T13:57:21.355Z] GC before operation: completed in 135.318 ms, heap usage 294.089 MB -> 90.133 MB. [2026-01-14T13:57:23.339Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T13:57:25.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T13:57:27.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T13:57:29.247Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T13:57:31.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T13:57:32.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T13:57:33.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T13:57:34.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T13:57:35.045Z] 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. [2026-01-14T13:57:35.045Z] The best model improves the baseline by 14.52%. [2026-01-14T13:57:35.045Z] Top recommended movies for user id 72: [2026-01-14T13:57:35.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T13:57:35.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T13:57:35.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T13:57:35.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T13:57:35.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T13:57:35.045Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13370.011 ms) ====== [2026-01-14T13:57:35.045Z] ----------------------------------- [2026-01-14T13:57:35.045Z] renaissance-movie-lens_0_PASSED [2026-01-14T13:57:35.045Z] ----------------------------------- [2026-01-14T13:57:35.045Z] [2026-01-14T13:57:35.045Z] TEST TEARDOWN: [2026-01-14T13:57:35.045Z] Nothing to be done for teardown. [2026-01-14T13:57:35.045Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 13:57:34 2026 Epoch Time (ms): 1768399054740