[2026-01-03T13:18:55.603Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:18:55.603Z] =============================================== [2026-01-03T13:18:55.603Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 08:18:55 2026 Epoch Time (ms): 1767446335313 [2026-01-03T13:18:55.603Z] variation: NoOptions [2026-01-03T13:18:55.603Z] JVM_OPTIONS: [2026-01-03T13:18:55.603Z] { \ [2026-01-03T13:18:55.603Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:18:55.603Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:18:55.603Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17674456951950/renaissance-movie-lens_0"; \ [2026-01-03T13:18:55.603Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17674456951950/renaissance-movie-lens_0"; \ [2026-01-03T13:18:55.603Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:18:55.603Z] "/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_17674456951950/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:18:55.603Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17674456951950/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:18:55.603Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:18:55.603Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:18:55.603Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17674456951950/TestTargetResult"; [2026-01-03T13:18:55.603Z] [2026-01-03T13:18:55.603Z] TEST SETUP: [2026-01-03T13:18:55.603Z] Nothing to be done for setup. [2026-01-03T13:18:55.603Z] [2026-01-03T13:18:55.603Z] TESTING: [2026-01-03T13:18:55.603Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:18:55.603Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17674456951950/renaissance-movie-lens_0/launcher-081855-16349075051807648300/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:18:55.603Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:18:55.603Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:18:57.989Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T13:19:00.392Z] 08:18:59.867 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T13:19:00.770Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:19:01.126Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:19:01.126Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:19:01.126Z] GC before operation: completed in 43.475 ms, heap usage 320.363 MB -> 75.990 MB. [2026-01-03T13:19:03.611Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:04.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:06.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:07.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:08.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:08.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:09.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:10.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:10.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:10.451Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:10.451Z] Top recommended movies for user id 72: [2026-01-03T13:19:10.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:10.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:10.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:10.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:10.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:10.451Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9281.020 ms) ====== [2026-01-03T13:19:10.451Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:19:10.451Z] GC before operation: completed in 48.267 ms, heap usage 136.296 MB -> 86.434 MB. [2026-01-03T13:19:11.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:12.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:14.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:14.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:15.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:16.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:17.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:18.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:18.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:18.068Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:18.068Z] Top recommended movies for user id 72: [2026-01-03T13:19:18.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:18.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:18.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:18.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:18.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:18.068Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7594.129 ms) ====== [2026-01-03T13:19:18.068Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:19:18.068Z] GC before operation: completed in 44.697 ms, heap usage 159.191 MB -> 89.229 MB. [2026-01-03T13:19:19.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:20.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:21.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:22.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:23.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:24.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:25.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:25.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:25.754Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:25.754Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:25.754Z] Top recommended movies for user id 72: [2026-01-03T13:19:25.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:25.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:25.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:25.754Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:25.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:25.754Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7590.483 ms) ====== [2026-01-03T13:19:25.754Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:19:25.754Z] GC before operation: completed in 46.161 ms, heap usage 98.050 MB -> 89.415 MB. [2026-01-03T13:19:27.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:27.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:29.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:30.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:30.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:31.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:32.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:32.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:32.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:32.895Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:32.895Z] Top recommended movies for user id 72: [2026-01-03T13:19:32.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:32.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:32.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:32.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:32.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:32.895Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7169.471 ms) ====== [2026-01-03T13:19:32.895Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:19:32.895Z] GC before operation: completed in 47.079 ms, heap usage 275.657 MB -> 89.685 MB. [2026-01-03T13:19:34.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:34.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:36.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:36.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:37.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:38.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:38.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:39.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:39.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:39.585Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:39.585Z] Top recommended movies for user id 72: [2026-01-03T13:19:39.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:39.585Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:39.585Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:39.585Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:39.585Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:39.585Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (6627.605 ms) ====== [2026-01-03T13:19:39.585Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:19:39.585Z] GC before operation: completed in 44.012 ms, heap usage 276.481 MB -> 89.817 MB. [2026-01-03T13:19:40.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:41.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:42.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:43.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:44.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:44.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:45.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:46.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:46.269Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:46.269Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:46.269Z] Top recommended movies for user id 72: [2026-01-03T13:19:46.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:46.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:46.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:46.269Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:46.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:46.269Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6673.404 ms) ====== [2026-01-03T13:19:46.269Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:19:46.269Z] GC before operation: completed in 45.870 ms, heap usage 237.887 MB -> 89.965 MB. [2026-01-03T13:19:47.535Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:48.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:49.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:50.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:50.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:51.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:51.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:52.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:52.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:52.543Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:52.543Z] Top recommended movies for user id 72: [2026-01-03T13:19:52.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:52.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:52.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:52.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:52.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:52.543Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (6250.442 ms) ====== [2026-01-03T13:19:52.543Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:19:52.543Z] GC before operation: completed in 44.679 ms, heap usage 172.533 MB -> 89.890 MB. [2026-01-03T13:19:53.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:19:54.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:19:55.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:19:56.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:19:56.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:19:57.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:19:57.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:19:58.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:19:58.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:19:58.714Z] The best model improves the baseline by 14.52%. [2026-01-03T13:19:58.714Z] Top recommended movies for user id 72: [2026-01-03T13:19:58.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:19:58.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:19:58.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:19:58.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:19:58.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:19:58.714Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (5986.076 ms) ====== [2026-01-03T13:19:58.714Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:19:58.714Z] GC before operation: completed in 42.530 ms, heap usage 165.301 MB -> 90.233 MB. [2026-01-03T13:19:59.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:00.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:01.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:02.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:03.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:03.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:03.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:04.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:04.559Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:04.559Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:04.559Z] Top recommended movies for user id 72: [2026-01-03T13:20:04.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:04.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:04.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:04.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:04.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:04.559Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (5963.230 ms) ====== [2026-01-03T13:20:04.559Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:20:04.559Z] GC before operation: completed in 43.112 ms, heap usage 244.253 MB -> 90.052 MB. [2026-01-03T13:20:05.785Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:06.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:07.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:08.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:08.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:09.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:10.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:10.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:10.797Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:10.797Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:10.797Z] Top recommended movies for user id 72: [2026-01-03T13:20:10.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:10.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:10.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:10.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:10.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:10.797Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6112.531 ms) ====== [2026-01-03T13:20:10.797Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:20:10.797Z] GC before operation: completed in 42.775 ms, heap usage 228.563 MB -> 90.198 MB. [2026-01-03T13:20:11.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:12.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:13.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:14.348Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:14.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:15.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:16.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:16.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:16.592Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:16.947Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:16.947Z] Top recommended movies for user id 72: [2026-01-03T13:20:16.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:16.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:16.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:16.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:16.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:16.947Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6018.229 ms) ====== [2026-01-03T13:20:16.947Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:20:16.947Z] GC before operation: completed in 43.550 ms, heap usage 358.301 MB -> 90.252 MB. [2026-01-03T13:20:17.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:18.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:19.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:20.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:21.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:21.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:22.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:22.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:23.176Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:23.176Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:23.176Z] Top recommended movies for user id 72: [2026-01-03T13:20:23.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:23.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:23.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:23.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:23.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:23.176Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6198.990 ms) ====== [2026-01-03T13:20:23.176Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:20:23.176Z] GC before operation: completed in 41.160 ms, heap usage 104.955 MB -> 93.220 MB. [2026-01-03T13:20:23.936Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:25.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:25.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:26.727Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:27.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:27.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:28.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:28.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:29.341Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:29.341Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:29.341Z] Top recommended movies for user id 72: [2026-01-03T13:20:29.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:29.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:29.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:29.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:29.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:29.341Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6188.544 ms) ====== [2026-01-03T13:20:29.341Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:20:29.341Z] GC before operation: completed in 43.796 ms, heap usage 451.331 MB -> 90.756 MB. [2026-01-03T13:20:30.577Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:31.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:32.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:33.397Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:33.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:34.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:34.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:35.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:35.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:35.635Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:35.635Z] Top recommended movies for user id 72: [2026-01-03T13:20:35.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:35.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:35.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:35.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:35.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:35.635Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6273.125 ms) ====== [2026-01-03T13:20:35.635Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:20:35.635Z] GC before operation: completed in 42.487 ms, heap usage 362.993 MB -> 90.486 MB. [2026-01-03T13:20:36.401Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:37.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:38.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:39.630Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:39.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:40.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:41.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:41.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:41.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:41.813Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:41.813Z] Top recommended movies for user id 72: [2026-01-03T13:20:41.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:41.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:41.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:41.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:41.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:41.813Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6135.175 ms) ====== [2026-01-03T13:20:41.813Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:20:41.813Z] GC before operation: completed in 41.562 ms, heap usage 166.527 MB -> 90.248 MB. [2026-01-03T13:20:42.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:43.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:44.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:45.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:46.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:46.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:47.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:48.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:48.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:48.430Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:48.430Z] Top recommended movies for user id 72: [2026-01-03T13:20:48.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:48.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:48.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:48.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:48.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:48.430Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6563.318 ms) ====== [2026-01-03T13:20:48.430Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:20:48.430Z] GC before operation: completed in 41.192 ms, heap usage 273.050 MB -> 90.318 MB. [2026-01-03T13:20:49.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:50.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:51.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:52.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:52.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:20:53.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:20:54.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:20:54.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:20:54.836Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:20:54.836Z] The best model improves the baseline by 14.52%. [2026-01-03T13:20:54.836Z] Top recommended movies for user id 72: [2026-01-03T13:20:54.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:20:54.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:20:54.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:20:54.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:20:54.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:20:54.836Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6529.356 ms) ====== [2026-01-03T13:20:54.836Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:20:54.836Z] GC before operation: completed in 43.247 ms, heap usage 450.679 MB -> 90.629 MB. [2026-01-03T13:20:56.081Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:20:56.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:20:58.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:20:58.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:20:59.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:21:00.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:21:00.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:21:01.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:21:01.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:21:01.572Z] The best model improves the baseline by 14.52%. [2026-01-03T13:21:01.572Z] Top recommended movies for user id 72: [2026-01-03T13:21:01.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:21:01.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:21:01.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:21:01.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:21:01.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:21:01.572Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6533.271 ms) ====== [2026-01-03T13:21:01.572Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:21:01.572Z] GC before operation: completed in 42.640 ms, heap usage 290.187 MB -> 90.220 MB. [2026-01-03T13:21:02.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:21:03.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:21:04.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:21:05.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:21:06.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:21:06.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:21:07.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:21:07.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:21:07.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:21:07.846Z] The best model improves the baseline by 14.52%. [2026-01-03T13:21:08.219Z] Top recommended movies for user id 72: [2026-01-03T13:21:08.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:21:08.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:21:08.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:21:08.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:21:08.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:21:08.219Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6479.405 ms) ====== [2026-01-03T13:21:08.219Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:21:08.219Z] GC before operation: completed in 43.338 ms, heap usage 161.352 MB -> 91.564 MB. [2026-01-03T13:21:08.985Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:21:10.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:21:10.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:21:11.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:21:12.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:21:12.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:21:13.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:21:14.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:21:14.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:21:14.131Z] The best model improves the baseline by 14.52%. [2026-01-03T13:21:14.488Z] Top recommended movies for user id 72: [2026-01-03T13:21:14.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:21:14.488Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:21:14.488Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:21:14.488Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:21:14.488Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:21:14.488Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6241.344 ms) ====== [2026-01-03T13:21:14.488Z] ----------------------------------- [2026-01-03T13:21:14.488Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:21:14.488Z] ----------------------------------- [2026-01-03T13:21:14.488Z] [2026-01-03T13:21:14.488Z] TEST TEARDOWN: [2026-01-03T13:21:14.488Z] Nothing to be done for teardown. [2026-01-03T13:21:14.488Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 08:21:14 2026 Epoch Time (ms): 1767446474329