[2025-12-20T13:27:41.830Z] Running test renaissance-movie-lens_0 ... [2025-12-20T13:27:41.830Z] =============================================== [2025-12-20T13:27:41.830Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 13:27:41 2025 Epoch Time (ms): 1766237261683 [2025-12-20T13:27:41.830Z] variation: NoOptions [2025-12-20T13:27:41.830Z] JVM_OPTIONS: [2025-12-20T13:27:41.830Z] { \ [2025-12-20T13:27:41.830Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T13:27:41.830Z] echo "Nothing to be done for setup."; \ [2025-12-20T13:27:41.830Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662354779356/renaissance-movie-lens_0"; \ [2025-12-20T13:27:41.830Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662354779356/renaissance-movie-lens_0"; \ [2025-12-20T13:27:41.830Z] echo ""; echo "TESTING:"; \ [2025-12-20T13:27:41.830Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662354779356/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T13:27:41.830Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662354779356/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T13:27:41.830Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T13:27:41.830Z] echo "Nothing to be done for teardown."; \ [2025-12-20T13:27:41.830Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662354779356/TestTargetResult"; [2025-12-20T13:27:41.830Z] [2025-12-20T13:27:41.830Z] TEST SETUP: [2025-12-20T13:27:41.830Z] Nothing to be done for setup. [2025-12-20T13:27:41.830Z] [2025-12-20T13:27:41.830Z] TESTING: [2025-12-20T13:27:42.618Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T13:27:42.618Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17662354779356/renaissance-movie-lens_0/launcher-132741-14515450398653140611/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T13:27:42.618Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T13:27:42.618Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T13:27:50.376Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T13:27:59.700Z] 13:27:59.373 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T13:28:02.972Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T13:28:03.341Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T13:28:03.341Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T13:28:03.716Z] GC before operation: completed in 143.398 ms, heap usage 183.510 MB -> 75.677 MB. [2025-12-20T13:28:13.066Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:28:18.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:28:22.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:28:26.523Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:28:28.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:28:30.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:28:33.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:28:35.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:28:35.472Z] 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. [2025-12-20T13:28:35.472Z] The best model improves the baseline by 14.52%. [2025-12-20T13:28:35.851Z] Top recommended movies for user id 72: [2025-12-20T13:28:35.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:28:35.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:28:35.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:28:35.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:28:35.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:28:35.851Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32357.405 ms) ====== [2025-12-20T13:28:35.851Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T13:28:36.244Z] GC before operation: completed in 159.927 ms, heap usage 143.248 MB -> 96.906 MB. [2025-12-20T13:28:40.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:28:43.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:28:46.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:28:50.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:28:52.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:28:54.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:28:56.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:28:59.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:28:59.426Z] 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. [2025-12-20T13:28:59.784Z] The best model improves the baseline by 14.52%. [2025-12-20T13:28:59.784Z] Top recommended movies for user id 72: [2025-12-20T13:28:59.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:28:59.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:28:59.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:28:59.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:28:59.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:28:59.784Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23777.714 ms) ====== [2025-12-20T13:28:59.784Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T13:29:00.174Z] GC before operation: completed in 155.492 ms, heap usage 477.136 MB -> 88.528 MB. [2025-12-20T13:29:03.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:29:06.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:29:10.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:29:13.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:29:15.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:29:17.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:29:19.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:29:21.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:29:21.901Z] 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. [2025-12-20T13:29:21.901Z] The best model improves the baseline by 14.52%. [2025-12-20T13:29:22.271Z] Top recommended movies for user id 72: [2025-12-20T13:29:22.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:29:22.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:29:22.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:29:22.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:29:22.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:29:22.271Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22104.098 ms) ====== [2025-12-20T13:29:22.271Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T13:29:22.271Z] GC before operation: completed in 136.176 ms, heap usage 374.922 MB -> 89.238 MB. [2025-12-20T13:29:25.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:29:28.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:29:31.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:29:35.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:29:37.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:29:39.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:29:41.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:29:43.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:29:43.723Z] 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. [2025-12-20T13:29:43.723Z] The best model improves the baseline by 14.52%. [2025-12-20T13:29:44.079Z] Top recommended movies for user id 72: [2025-12-20T13:29:44.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:29:44.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:29:44.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:29:44.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:29:44.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:29:44.079Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21820.981 ms) ====== [2025-12-20T13:29:44.079Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T13:29:44.079Z] GC before operation: completed in 141.403 ms, heap usage 367.468 MB -> 89.459 MB. [2025-12-20T13:29:47.242Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:29:50.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:29:53.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:29:56.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:29:59.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:30:01.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:30:02.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:30:05.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:30:05.534Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:30:05.534Z] The best model improves the baseline by 14.52%. [2025-12-20T13:30:05.534Z] Top recommended movies for user id 72: [2025-12-20T13:30:05.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:30:05.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:30:05.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:30:05.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:30:05.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:30:05.535Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21457.710 ms) ====== [2025-12-20T13:30:05.535Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T13:30:05.906Z] GC before operation: completed in 138.618 ms, heap usage 388.486 MB -> 89.364 MB. [2025-12-20T13:30:09.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:30:12.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:30:15.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:30:18.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:30:20.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:30:22.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:30:24.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:30:26.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:30:26.055Z] 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. [2025-12-20T13:30:26.055Z] The best model improves the baseline by 14.52%. [2025-12-20T13:30:26.414Z] Top recommended movies for user id 72: [2025-12-20T13:30:26.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:30:26.414Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:30:26.414Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:30:26.414Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:30:26.414Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:30:26.414Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20605.688 ms) ====== [2025-12-20T13:30:26.414Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T13:30:26.414Z] GC before operation: completed in 145.608 ms, heap usage 213.114 MB -> 89.531 MB. [2025-12-20T13:30:29.620Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:30:32.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:30:36.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:30:38.615Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:30:40.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:30:42.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:30:44.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:30:45.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:30:46.293Z] 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. [2025-12-20T13:30:46.293Z] The best model improves the baseline by 14.52%. [2025-12-20T13:30:46.666Z] Top recommended movies for user id 72: [2025-12-20T13:30:46.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:30:46.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:30:46.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:30:46.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:30:46.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:30:46.666Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20069.011 ms) ====== [2025-12-20T13:30:46.667Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T13:30:46.667Z] GC before operation: completed in 134.612 ms, heap usage 159.875 MB -> 89.447 MB. [2025-12-20T13:30:49.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:30:53.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:30:56.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:30:59.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:31:00.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:31:02.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:31:04.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:31:06.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:31:06.692Z] 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. [2025-12-20T13:31:06.692Z] The best model improves the baseline by 14.52%. [2025-12-20T13:31:07.048Z] Top recommended movies for user id 72: [2025-12-20T13:31:07.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:31:07.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:31:07.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:31:07.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:31:07.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:31:07.048Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20225.733 ms) ====== [2025-12-20T13:31:07.048Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T13:31:07.048Z] GC before operation: completed in 141.035 ms, heap usage 458.545 MB -> 89.996 MB. [2025-12-20T13:31:10.322Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:31:13.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:31:16.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:31:19.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:31:21.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:31:23.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:31:24.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:31:27.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:31:27.419Z] 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. [2025-12-20T13:31:27.419Z] The best model improves the baseline by 14.52%. [2025-12-20T13:31:27.419Z] Top recommended movies for user id 72: [2025-12-20T13:31:27.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:31:27.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:31:27.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:31:27.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:31:27.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:31:27.419Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20440.283 ms) ====== [2025-12-20T13:31:27.419Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T13:31:27.797Z] GC before operation: completed in 134.684 ms, heap usage 153.632 MB -> 89.474 MB. [2025-12-20T13:31:31.134Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:31:33.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:31:36.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:31:40.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:31:41.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:31:43.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:31:45.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:31:47.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:31:47.881Z] 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. [2025-12-20T13:31:47.881Z] The best model improves the baseline by 14.52%. [2025-12-20T13:31:47.881Z] Top recommended movies for user id 72: [2025-12-20T13:31:47.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:31:47.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:31:47.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:31:47.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:31:47.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:31:47.881Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20311.731 ms) ====== [2025-12-20T13:31:47.881Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T13:31:48.250Z] GC before operation: completed in 142.208 ms, heap usage 125.470 MB -> 89.694 MB. [2025-12-20T13:31:51.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:31:54.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:31:57.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:32:00.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:32:02.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:32:04.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:32:06.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:32:07.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:32:08.299Z] 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. [2025-12-20T13:32:08.302Z] The best model improves the baseline by 14.52%. [2025-12-20T13:32:08.657Z] Top recommended movies for user id 72: [2025-12-20T13:32:08.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:32:08.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:32:08.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:32:08.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:32:08.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:32:08.657Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20411.365 ms) ====== [2025-12-20T13:32:08.657Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T13:32:08.657Z] GC before operation: completed in 141.462 ms, heap usage 178.838 MB -> 89.473 MB. [2025-12-20T13:32:11.805Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:32:14.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:32:18.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:32:21.302Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:32:22.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:32:24.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:32:26.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:32:28.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:32:28.775Z] 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. [2025-12-20T13:32:28.775Z] The best model improves the baseline by 14.52%. [2025-12-20T13:32:28.775Z] Top recommended movies for user id 72: [2025-12-20T13:32:28.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:32:28.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:32:28.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:32:28.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:32:28.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:32:28.775Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20221.832 ms) ====== [2025-12-20T13:32:28.775Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T13:32:29.139Z] GC before operation: completed in 137.971 ms, heap usage 569.425 MB -> 93.433 MB. [2025-12-20T13:32:32.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:32:34.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:32:37.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:32:40.406Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:32:42.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:32:43.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:32:45.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:32:47.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:32:48.032Z] 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. [2025-12-20T13:32:48.032Z] The best model improves the baseline by 14.52%. [2025-12-20T13:32:48.032Z] Top recommended movies for user id 72: [2025-12-20T13:32:48.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:32:48.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:32:48.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:32:48.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:32:48.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:32:48.032Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19034.424 ms) ====== [2025-12-20T13:32:48.032Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T13:32:48.399Z] GC before operation: completed in 135.497 ms, heap usage 258.134 MB -> 89.968 MB. [2025-12-20T13:32:51.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:32:54.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:32:57.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:32:59.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:33:01.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:33:03.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:33:05.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:33:07.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:33:07.641Z] 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. [2025-12-20T13:33:07.641Z] The best model improves the baseline by 14.52%. [2025-12-20T13:33:07.641Z] Top recommended movies for user id 72: [2025-12-20T13:33:07.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:33:07.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:33:07.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:33:07.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:33:07.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:33:07.641Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19468.483 ms) ====== [2025-12-20T13:33:07.641Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T13:33:08.009Z] GC before operation: completed in 135.927 ms, heap usage 100.236 MB -> 90.104 MB. [2025-12-20T13:33:11.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:33:14.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:33:17.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:33:20.005Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:33:21.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:33:23.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:33:26.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:33:27.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:33:27.935Z] 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. [2025-12-20T13:33:27.935Z] The best model improves the baseline by 14.52%. [2025-12-20T13:33:28.294Z] Top recommended movies for user id 72: [2025-12-20T13:33:28.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:33:28.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:33:28.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:33:28.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:33:28.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:33:28.294Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20296.666 ms) ====== [2025-12-20T13:33:28.294Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T13:33:28.294Z] GC before operation: completed in 156.049 ms, heap usage 562.375 MB -> 93.623 MB. [2025-12-20T13:33:31.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:33:34.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:33:37.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:33:40.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:33:42.050Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:33:43.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:33:46.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:33:47.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:33:48.027Z] 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. [2025-12-20T13:33:48.027Z] The best model improves the baseline by 14.52%. [2025-12-20T13:33:48.027Z] Top recommended movies for user id 72: [2025-12-20T13:33:48.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:33:48.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:33:48.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:33:48.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:33:48.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:33:48.027Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19878.577 ms) ====== [2025-12-20T13:33:48.027Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T13:33:48.383Z] GC before operation: completed in 144.425 ms, heap usage 176.224 MB -> 89.783 MB. [2025-12-20T13:33:51.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:33:53.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:33:57.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:34:00.417Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:34:02.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:34:04.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:34:05.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:34:07.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:34:08.143Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:34:08.143Z] The best model improves the baseline by 14.52%. [2025-12-20T13:34:08.523Z] Top recommended movies for user id 72: [2025-12-20T13:34:08.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:34:08.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:34:08.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:34:08.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:34:08.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:34:08.523Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20025.269 ms) ====== [2025-12-20T13:34:08.523Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T13:34:08.523Z] GC before operation: completed in 137.650 ms, heap usage 156.562 MB -> 91.616 MB. [2025-12-20T13:34:11.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:34:14.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:34:17.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:34:20.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:34:22.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:34:24.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:34:26.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:34:28.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:34:28.644Z] 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. [2025-12-20T13:34:28.644Z] The best model improves the baseline by 14.52%. [2025-12-20T13:34:28.644Z] Top recommended movies for user id 72: [2025-12-20T13:34:28.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:34:28.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:34:28.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:34:28.644Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:34:28.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:34:28.644Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20283.059 ms) ====== [2025-12-20T13:34:28.644Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T13:34:29.011Z] GC before operation: completed in 136.080 ms, heap usage 365.797 MB -> 89.969 MB. [2025-12-20T13:34:32.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:34:34.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:34:37.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:34:41.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:34:43.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:34:44.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:34:46.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:34:48.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:34:48.779Z] 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. [2025-12-20T13:34:48.779Z] The best model improves the baseline by 14.52%. [2025-12-20T13:34:49.158Z] Top recommended movies for user id 72: [2025-12-20T13:34:49.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:34:49.158Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:34:49.158Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:34:49.158Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:34:49.158Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:34:49.158Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20215.580 ms) ====== [2025-12-20T13:34:49.158Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T13:34:49.158Z] GC before operation: completed in 134.850 ms, heap usage 147.381 MB -> 89.729 MB. [2025-12-20T13:34:52.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:34:55.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:34:58.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:35:01.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:35:02.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:35:04.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:35:06.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:35:08.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:35:09.024Z] 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. [2025-12-20T13:35:09.024Z] The best model improves the baseline by 14.52%. [2025-12-20T13:35:09.024Z] Top recommended movies for user id 72: [2025-12-20T13:35:09.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:35:09.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:35:09.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:35:09.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:35:09.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:35:09.024Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19834.726 ms) ====== [2025-12-20T13:35:09.807Z] ----------------------------------- [2025-12-20T13:35:09.807Z] renaissance-movie-lens_0_PASSED [2025-12-20T13:35:09.807Z] ----------------------------------- [2025-12-20T13:35:09.807Z] [2025-12-20T13:35:09.807Z] TEST TEARDOWN: [2025-12-20T13:35:09.807Z] Nothing to be done for teardown. [2025-12-20T13:35:09.807Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 13:35:09 2025 Epoch Time (ms): 1766237709562