[2026-03-05T00:39:08.879Z] Running test renaissance-movie-lens_0 ... [2026-03-05T00:39:08.879Z] =============================================== [2026-03-05T00:39:08.879Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 19:39:08 2026 Epoch Time (ms): 1772671148589 [2026-03-05T00:39:08.879Z] variation: NoOptions [2026-03-05T00:39:08.879Z] JVM_OPTIONS: [2026-03-05T00:39:08.879Z] { \ [2026-03-05T00:39:08.879Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T00:39:08.879Z] echo "Nothing to be done for setup."; \ [2026-03-05T00:39:08.879Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726707469184/renaissance-movie-lens_0"; \ [2026-03-05T00:39:08.879Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726707469184/renaissance-movie-lens_0"; \ [2026-03-05T00:39:08.879Z] echo ""; echo "TESTING:"; \ [2026-03-05T00:39:08.879Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726707469184/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T00:39:08.879Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726707469184/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T00:39:08.879Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T00:39:08.879Z] echo "Nothing to be done for teardown."; \ [2026-03-05T00:39:08.879Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726707469184/TestTargetResult"; [2026-03-05T00:39:08.879Z] [2026-03-05T00:39:08.879Z] TEST SETUP: [2026-03-05T00:39:08.879Z] Nothing to be done for setup. [2026-03-05T00:39:08.879Z] [2026-03-05T00:39:08.879Z] TESTING: [2026-03-05T00:39:12.775Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T00:39:16.693Z] 19:39:15.858 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T00:39:18.185Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T00:39:18.185Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T00:39:18.185Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T00:39:18.185Z] GC before operation: completed in 61.586 ms, heap usage 164.312 MB -> 74.576 MB. [2026-03-05T00:39:21.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:39:23.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:39:25.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:39:27.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:39:28.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:39:29.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:39:30.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:39:31.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:39:31.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:39:31.842Z] The best model improves the baseline by 14.52%. [2026-03-05T00:39:31.842Z] Top recommended movies for user id 72: [2026-03-05T00:39:31.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:39:31.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:39:31.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:39:31.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:39:31.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:39:31.842Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14408.956 ms) ====== [2026-03-05T00:39:32.186Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T00:39:32.186Z] GC before operation: completed in 71.754 ms, heap usage 395.753 MB -> 87.154 MB. [2026-03-05T00:39:33.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:39:35.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:39:37.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:39:39.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:39:40.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:39:41.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:39:42.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:39:43.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:39:43.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:39:43.568Z] The best model improves the baseline by 14.52%. [2026-03-05T00:39:43.922Z] Top recommended movies for user id 72: [2026-03-05T00:39:43.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:39:43.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:39:43.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:39:43.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:39:43.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:39:43.922Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11684.449 ms) ====== [2026-03-05T00:39:43.922Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T00:39:43.922Z] GC before operation: completed in 104.839 ms, heap usage 101.771 MB -> 90.937 MB. [2026-03-05T00:39:45.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:39:47.191Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:39:49.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:39:50.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:39:52.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:39:53.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:39:54.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:39:55.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:39:55.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:39:55.274Z] The best model improves the baseline by 14.52%. [2026-03-05T00:39:55.275Z] Top recommended movies for user id 72: [2026-03-05T00:39:55.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:39:55.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:39:55.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:39:55.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:39:55.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:39:55.275Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11496.680 ms) ====== [2026-03-05T00:39:55.275Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T00:39:55.275Z] GC before operation: completed in 66.630 ms, heap usage 123.772 MB -> 88.291 MB. [2026-03-05T00:39:57.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:39:58.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:00.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:02.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:03.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:03.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:05.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:05.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:06.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:06.279Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:06.279Z] Top recommended movies for user id 72: [2026-03-05T00:40:06.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:06.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:06.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:06.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:06.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:06.279Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10892.668 ms) ====== [2026-03-05T00:40:06.279Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T00:40:06.279Z] GC before operation: completed in 77.842 ms, heap usage 202.636 MB -> 88.587 MB. [2026-03-05T00:40:08.060Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:40:09.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:11.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:14.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:14.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:14.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:16.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:17.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:17.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:17.392Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:17.392Z] Top recommended movies for user id 72: [2026-03-05T00:40:17.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:17.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:17.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:17.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:17.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:17.392Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10948.536 ms) ====== [2026-03-05T00:40:17.392Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T00:40:17.392Z] GC before operation: completed in 67.966 ms, heap usage 175.332 MB -> 88.523 MB. [2026-03-05T00:40:19.245Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:40:20.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:22.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:23.527Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:24.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:25.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:26.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:27.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:27.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:27.532Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:27.532Z] Top recommended movies for user id 72: [2026-03-05T00:40:27.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:27.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:27.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:27.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:27.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:27.532Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10143.381 ms) ====== [2026-03-05T00:40:27.532Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T00:40:27.532Z] GC before operation: completed in 88.039 ms, heap usage 420.739 MB -> 89.123 MB. [2026-03-05T00:40:29.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:40:30.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:32.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:33.531Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:34.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:35.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:36.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:37.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:37.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:37.505Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:37.505Z] Top recommended movies for user id 72: [2026-03-05T00:40:37.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:37.505Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:37.505Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:37.505Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:37.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:37.505Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9759.426 ms) ====== [2026-03-05T00:40:37.505Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T00:40:37.505Z] GC before operation: completed in 71.111 ms, heap usage 450.212 MB -> 89.157 MB. [2026-03-05T00:40:38.724Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:40:40.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:42.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:43.359Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:44.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:45.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:46.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:46.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:47.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:47.207Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:47.207Z] Top recommended movies for user id 72: [2026-03-05T00:40:47.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:47.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:47.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:47.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:47.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:47.207Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9760.370 ms) ====== [2026-03-05T00:40:47.207Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T00:40:47.207Z] GC before operation: completed in 61.760 ms, heap usage 268.670 MB -> 89.130 MB. [2026-03-05T00:40:48.945Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:40:50.184Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:40:51.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:40:53.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:40:54.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:40:55.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:40:55.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:40:57.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:40:57.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:40:57.128Z] The best model improves the baseline by 14.52%. [2026-03-05T00:40:57.128Z] Top recommended movies for user id 72: [2026-03-05T00:40:57.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:40:57.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:40:57.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:40:57.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:40:57.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:40:57.128Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9766.986 ms) ====== [2026-03-05T00:40:57.128Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T00:40:57.128Z] GC before operation: completed in 67.597 ms, heap usage 222.151 MB -> 88.899 MB. [2026-03-05T00:40:58.897Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:00.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:01.878Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:03.700Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:04.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:05.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:05.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:07.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:07.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:07.339Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:07.339Z] Top recommended movies for user id 72: [2026-03-05T00:41:07.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:07.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:07.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:07.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:07.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:07.339Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10094.275 ms) ====== [2026-03-05T00:41:07.339Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T00:41:07.339Z] GC before operation: completed in 72.381 ms, heap usage 284.029 MB -> 89.244 MB. [2026-03-05T00:41:08.731Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:10.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:11.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:13.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:13.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:15.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:15.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:16.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:16.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:16.908Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:16.908Z] Top recommended movies for user id 72: [2026-03-05T00:41:16.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:16.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:16.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:16.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:16.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:16.908Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9574.313 ms) ====== [2026-03-05T00:41:16.908Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T00:41:16.908Z] GC before operation: completed in 62.498 ms, heap usage 355.840 MB -> 88.965 MB. [2026-03-05T00:41:18.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:19.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:21.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:22.846Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:23.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:24.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:25.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:26.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:26.705Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:26.705Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:26.705Z] Top recommended movies for user id 72: [2026-03-05T00:41:26.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:26.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:26.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:26.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:26.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:26.705Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9680.411 ms) ====== [2026-03-05T00:41:26.705Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T00:41:26.705Z] GC before operation: completed in 73.495 ms, heap usage 461.197 MB -> 89.370 MB. [2026-03-05T00:41:28.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:30.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:32.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:33.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:34.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:35.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:36.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:37.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:37.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:37.602Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:37.948Z] Top recommended movies for user id 72: [2026-03-05T00:41:37.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:37.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:37.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:37.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:37.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:37.948Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11105.801 ms) ====== [2026-03-05T00:41:37.948Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T00:41:37.948Z] GC before operation: completed in 77.272 ms, heap usage 231.407 MB -> 89.151 MB. [2026-03-05T00:41:39.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:40.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:42.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:44.413Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:45.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:46.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:47.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:48.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:48.357Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:48.713Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:48.713Z] Top recommended movies for user id 72: [2026-03-05T00:41:48.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:48.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:48.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:48.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:48.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:48.713Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10705.543 ms) ====== [2026-03-05T00:41:48.713Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T00:41:48.713Z] GC before operation: completed in 60.233 ms, heap usage 256.469 MB -> 89.035 MB. [2026-03-05T00:41:50.530Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:41:52.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:41:53.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:41:55.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:41:56.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:41:56.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:41:58.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:41:58.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:41:59.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:41:59.183Z] The best model improves the baseline by 14.52%. [2026-03-05T00:41:59.183Z] Top recommended movies for user id 72: [2026-03-05T00:41:59.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:41:59.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:41:59.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:41:59.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:41:59.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:41:59.183Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10521.119 ms) ====== [2026-03-05T00:41:59.183Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T00:41:59.183Z] GC before operation: completed in 65.189 ms, heap usage 466.363 MB -> 89.552 MB. [2026-03-05T00:42:00.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:42:02.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:42:04.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:42:05.623Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:42:06.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:42:08.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:42:08.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:42:10.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:42:10.020Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:42:10.020Z] The best model improves the baseline by 14.52%. [2026-03-05T00:42:10.020Z] Top recommended movies for user id 72: [2026-03-05T00:42:10.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:42:10.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:42:10.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:42:10.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:42:10.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:42:10.020Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10850.860 ms) ====== [2026-03-05T00:42:10.020Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T00:42:10.020Z] GC before operation: completed in 77.317 ms, heap usage 264.070 MB -> 89.175 MB. [2026-03-05T00:42:11.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:42:13.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:42:15.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:42:16.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:42:17.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:42:18.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:42:19.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:42:20.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:42:20.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:42:20.966Z] The best model improves the baseline by 14.52%. [2026-03-05T00:42:20.966Z] Top recommended movies for user id 72: [2026-03-05T00:42:20.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:42:20.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:42:20.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:42:20.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:42:20.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:42:20.966Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10819.270 ms) ====== [2026-03-05T00:42:20.966Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T00:42:20.966Z] GC before operation: completed in 68.134 ms, heap usage 116.218 MB -> 89.067 MB. [2026-03-05T00:42:22.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:42:24.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:42:26.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:42:27.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:42:29.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:42:30.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:42:30.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:42:31.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:42:31.508Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:42:31.508Z] The best model improves the baseline by 14.52%. [2026-03-05T00:42:31.508Z] Top recommended movies for user id 72: [2026-03-05T00:42:31.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:42:31.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:42:31.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:42:31.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:42:31.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:42:31.508Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10545.907 ms) ====== [2026-03-05T00:42:31.508Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T00:42:31.508Z] GC before operation: completed in 64.490 ms, heap usage 194.367 MB -> 89.007 MB. [2026-03-05T00:42:33.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:42:35.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:42:36.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:42:37.969Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:42:38.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:42:39.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:42:40.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:42:40.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:42:41.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:42:41.334Z] The best model improves the baseline by 14.52%. [2026-03-05T00:42:41.334Z] Top recommended movies for user id 72: [2026-03-05T00:42:41.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:42:41.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:42:41.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:42:41.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:42:41.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:42:41.334Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9679.516 ms) ====== [2026-03-05T00:42:41.334Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T00:42:41.334Z] GC before operation: completed in 80.140 ms, heap usage 389.021 MB -> 89.372 MB. [2026-03-05T00:42:43.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:42:44.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:42:46.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:42:47.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:42:48.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:42:49.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:42:50.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:42:50.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:42:50.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:42:50.811Z] The best model improves the baseline by 14.52%. [2026-03-05T00:42:51.159Z] Top recommended movies for user id 72: [2026-03-05T00:42:51.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:42:51.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:42:51.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:42:51.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:42:51.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:42:51.159Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9587.771 ms) ====== [2026-03-05T00:42:51.512Z] ----------------------------------- [2026-03-05T00:42:51.512Z] renaissance-movie-lens_0_PASSED [2026-03-05T00:42:51.512Z] ----------------------------------- [2026-03-05T00:42:51.512Z] [2026-03-05T00:42:51.512Z] TEST TEARDOWN: [2026-03-05T00:42:51.512Z] Nothing to be done for teardown. [2026-03-05T00:42:51.512Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 19:42:51 2026 Epoch Time (ms): 1772671371200