[2026-02-28T23:27:06.647Z] Running test renaissance-movie-lens_0 ... [2026-02-28T23:27:06.647Z] =============================================== [2026-02-28T23:27:06.647Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 18:27:06 2026 Epoch Time (ms): 1772321226499 [2026-02-28T23:27:06.647Z] variation: NoOptions [2026-02-28T23:27:06.647Z] JVM_OPTIONS: [2026-02-28T23:27:06.647Z] { \ [2026-02-28T23:27:06.647Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T23:27:06.647Z] echo "Nothing to be done for setup."; \ [2026-02-28T23:27:06.647Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17723209324939/renaissance-movie-lens_0"; \ [2026-02-28T23:27:06.647Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17723209324939/renaissance-movie-lens_0"; \ [2026-02-28T23:27:06.647Z] echo ""; echo "TESTING:"; \ [2026-02-28T23:27:06.647Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17723209324939/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T23:27:06.647Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17723209324939/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T23:27:06.647Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T23:27:06.647Z] echo "Nothing to be done for teardown."; \ [2026-02-28T23:27:06.647Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17723209324939/TestTargetResult"; [2026-02-28T23:27:06.647Z] [2026-02-28T23:27:06.647Z] TEST SETUP: [2026-02-28T23:27:06.647Z] Nothing to be done for setup. [2026-02-28T23:27:06.647Z] [2026-02-28T23:27:06.647Z] TESTING: [2026-02-28T23:27:06.997Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T23:27:06.997Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17723209324939/renaissance-movie-lens_0/launcher-182706-6096491196331136977/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T23:27:06.997Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T23:27:06.997Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T23:27:09.362Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-28T23:27:11.736Z] 18:27:11.349 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-28T23:27:12.509Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T23:27:12.509Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T23:27:12.509Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T23:27:12.509Z] GC before operation: completed in 46.001 ms, heap usage 164.348 MB -> 75.849 MB. [2026-02-28T23:27:14.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:16.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:17.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:18.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:19.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:20.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:20.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:21.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:22.004Z] 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. [2026-02-28T23:27:22.004Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:22.004Z] Top recommended movies for user id 72: [2026-02-28T23:27:22.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:22.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:22.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:22.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:22.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:22.004Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9570.010 ms) ====== [2026-02-28T23:27:22.005Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T23:27:22.005Z] GC before operation: completed in 58.363 ms, heap usage 362.977 MB -> 86.741 MB. [2026-02-28T23:27:23.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:24.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:25.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:26.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:27.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:28.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:28.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:29.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:29.541Z] 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. [2026-02-28T23:27:29.541Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:29.541Z] Top recommended movies for user id 72: [2026-02-28T23:27:29.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:29.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:29.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:29.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:29.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:29.541Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7542.020 ms) ====== [2026-02-28T23:27:29.541Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T23:27:29.541Z] GC before operation: completed in 45.919 ms, heap usage 357.340 MB -> 88.844 MB. [2026-02-28T23:27:30.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:32.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:33.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:34.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:34.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:35.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:35.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:36.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:36.661Z] 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. [2026-02-28T23:27:36.661Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:36.661Z] Top recommended movies for user id 72: [2026-02-28T23:27:36.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:36.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:36.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:36.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:36.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:36.661Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7058.699 ms) ====== [2026-02-28T23:27:36.661Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T23:27:36.661Z] GC before operation: completed in 47.628 ms, heap usage 361.942 MB -> 89.553 MB. [2026-02-28T23:27:37.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:39.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:40.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:41.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:41.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:42.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:43.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:43.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:44.155Z] 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. [2026-02-28T23:27:44.155Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:44.155Z] Top recommended movies for user id 72: [2026-02-28T23:27:44.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:44.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:44.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:44.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:44.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:44.155Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7276.973 ms) ====== [2026-02-28T23:27:44.155Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T23:27:44.155Z] GC before operation: completed in 43.861 ms, heap usage 336.846 MB -> 89.781 MB. [2026-02-28T23:27:45.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:46.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:47.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:48.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:48.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:49.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:50.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:51.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:51.261Z] 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. [2026-02-28T23:27:51.261Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:51.261Z] Top recommended movies for user id 72: [2026-02-28T23:27:51.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:51.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:51.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:51.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:51.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:51.261Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7140.992 ms) ====== [2026-02-28T23:27:51.261Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T23:27:51.261Z] GC before operation: completed in 49.962 ms, heap usage 496.876 MB -> 89.907 MB. [2026-02-28T23:27:52.483Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:53.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:54.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:55.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:56.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:57.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:57.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:58.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:58.738Z] 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. [2026-02-28T23:27:58.738Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:58.738Z] Top recommended movies for user id 72: [2026-02-28T23:27:58.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:58.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:58.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:58.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:58.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:58.738Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7456.308 ms) ====== [2026-02-28T23:27:58.738Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T23:27:58.738Z] GC before operation: completed in 56.302 ms, heap usage 255.841 MB -> 89.890 MB. [2026-02-28T23:27:59.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:01.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:01.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:03.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:04.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:04.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:05.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:06.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:06.426Z] 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. [2026-02-28T23:28:06.427Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:06.427Z] Top recommended movies for user id 72: [2026-02-28T23:28:06.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:06.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:06.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:06.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:06.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:06.427Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7580.516 ms) ====== [2026-02-28T23:28:06.427Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T23:28:06.427Z] GC before operation: completed in 45.590 ms, heap usage 120.701 MB -> 89.660 MB. [2026-02-28T23:28:07.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:08.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:09.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:10.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:11.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:11.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:12.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:13.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:13.483Z] 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. [2026-02-28T23:28:13.484Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:13.484Z] Top recommended movies for user id 72: [2026-02-28T23:28:13.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:13.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:13.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:13.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:13.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:13.484Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6950.681 ms) ====== [2026-02-28T23:28:13.484Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T23:28:13.484Z] GC before operation: completed in 43.789 ms, heap usage 108.337 MB -> 92.886 MB. [2026-02-28T23:28:14.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:15.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:16.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:17.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:17.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:18.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:19.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:19.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:19.728Z] 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. [2026-02-28T23:28:19.728Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:20.085Z] Top recommended movies for user id 72: [2026-02-28T23:28:20.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:20.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:20.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:20.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:20.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:20.085Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6474.003 ms) ====== [2026-02-28T23:28:20.085Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T23:28:20.085Z] GC before operation: completed in 45.001 ms, heap usage 275.909 MB -> 89.994 MB. [2026-02-28T23:28:20.849Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:22.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:22.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:24.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:24.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:25.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:25.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:26.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:26.287Z] 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. [2026-02-28T23:28:26.639Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:26.639Z] Top recommended movies for user id 72: [2026-02-28T23:28:26.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:26.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:26.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:26.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:26.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:26.639Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6528.308 ms) ====== [2026-02-28T23:28:26.639Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T23:28:26.639Z] GC before operation: completed in 42.386 ms, heap usage 379.922 MB -> 90.345 MB. [2026-02-28T23:28:27.396Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:28.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:29.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:31.114Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:31.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:32.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:32.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:33.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:33.748Z] 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. [2026-02-28T23:28:33.748Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:34.121Z] Top recommended movies for user id 72: [2026-02-28T23:28:34.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:34.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:34.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:34.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:34.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:34.121Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7386.930 ms) ====== [2026-02-28T23:28:34.121Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T23:28:34.121Z] GC before operation: completed in 55.117 ms, heap usage 369.704 MB -> 90.189 MB. [2026-02-28T23:28:35.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:36.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:37.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:38.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:39.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:39.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:40.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:41.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:41.257Z] 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. [2026-02-28T23:28:41.257Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:41.257Z] Top recommended movies for user id 72: [2026-02-28T23:28:41.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:41.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:41.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:41.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:41.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:41.257Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7402.931 ms) ====== [2026-02-28T23:28:41.257Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T23:28:41.610Z] GC before operation: completed in 49.566 ms, heap usage 417.419 MB -> 90.405 MB. [2026-02-28T23:28:42.840Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:44.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:44.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:46.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:46.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:47.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:48.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:48.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:49.030Z] 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. [2026-02-28T23:28:49.030Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:49.030Z] Top recommended movies for user id 72: [2026-02-28T23:28:49.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:49.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:49.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:49.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:49.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:49.030Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7495.963 ms) ====== [2026-02-28T23:28:49.030Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T23:28:49.030Z] GC before operation: completed in 42.294 ms, heap usage 246.794 MB -> 90.257 MB. [2026-02-28T23:28:50.245Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:51.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:52.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:53.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:54.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:54.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:55.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:56.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:56.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:28:56.467Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:56.467Z] Top recommended movies for user id 72: [2026-02-28T23:28:56.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:56.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:56.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:56.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:56.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:56.467Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7414.344 ms) ====== [2026-02-28T23:28:56.467Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T23:28:56.467Z] GC before operation: completed in 46.737 ms, heap usage 378.151 MB -> 90.197 MB. [2026-02-28T23:28:57.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:58.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:59.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:00.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:01.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:02.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:02.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:03.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:03.962Z] 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. [2026-02-28T23:29:03.962Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:03.962Z] Top recommended movies for user id 72: [2026-02-28T23:29:03.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:03.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:03.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:03.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:03.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:03.962Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7390.009 ms) ====== [2026-02-28T23:29:03.962Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T23:29:03.962Z] GC before operation: completed in 46.896 ms, heap usage 374.809 MB -> 90.533 MB. [2026-02-28T23:29:05.189Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:05.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:07.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:07.959Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:08.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:09.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:10.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:10.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:10.955Z] 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. [2026-02-28T23:29:10.955Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:10.955Z] Top recommended movies for user id 72: [2026-02-28T23:29:10.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:10.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:10.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:10.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:10.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:10.955Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6953.331 ms) ====== [2026-02-28T23:29:10.955Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T23:29:10.955Z] GC before operation: completed in 47.214 ms, heap usage 588.845 MB -> 93.898 MB. [2026-02-28T23:29:12.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:13.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:14.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:15.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:15.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:16.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:16.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:17.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:17.688Z] 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. [2026-02-28T23:29:17.688Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:17.688Z] Top recommended movies for user id 72: [2026-02-28T23:29:17.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:17.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:17.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:17.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:17.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:17.689Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6902.590 ms) ====== [2026-02-28T23:29:17.689Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T23:29:17.689Z] GC before operation: completed in 41.600 ms, heap usage 193.540 MB -> 90.203 MB. [2026-02-28T23:29:18.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:20.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:20.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:22.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:22.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:23.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:24.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:24.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:24.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:29:24.780Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:24.780Z] Top recommended movies for user id 72: [2026-02-28T23:29:24.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:24.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:24.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:24.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:24.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:24.780Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6955.858 ms) ====== [2026-02-28T23:29:24.780Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T23:29:24.780Z] GC before operation: completed in 43.723 ms, heap usage 118.999 MB -> 89.980 MB. [2026-02-28T23:29:25.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:27.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:28.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:29.238Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:29.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:30.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:31.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:31.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:31.887Z] 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. [2026-02-28T23:29:31.887Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:31.887Z] Top recommended movies for user id 72: [2026-02-28T23:29:31.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:31.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:31.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:31.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:31.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:31.887Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6999.253 ms) ====== [2026-02-28T23:29:31.887Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T23:29:31.887Z] GC before operation: completed in 66.055 ms, heap usage 444.293 MB -> 90.611 MB. [2026-02-28T23:29:33.102Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:34.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:35.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:36.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:37.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:37.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:38.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:39.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:39.499Z] 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. [2026-02-28T23:29:39.499Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:39.499Z] Top recommended movies for user id 72: [2026-02-28T23:29:39.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:39.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:39.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:39.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:39.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:39.499Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7682.121 ms) ====== [2026-02-28T23:29:39.852Z] ----------------------------------- [2026-02-28T23:29:39.852Z] renaissance-movie-lens_0_PASSED [2026-02-28T23:29:39.852Z] ----------------------------------- [2026-02-28T23:29:39.852Z] [2026-02-28T23:29:39.852Z] TEST TEARDOWN: [2026-02-28T23:29:39.852Z] Nothing to be done for teardown. [2026-02-28T23:29:39.852Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 18:29:39 2026 Epoch Time (ms): 1772321379752