[2026-04-06T20:58:21.588Z] Running test renaissance-movie-lens_0 ... [2026-04-06T20:58:21.941Z] =============================================== [2026-04-06T20:58:21.941Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 16:58:21 2026 Epoch Time (ms): 1775509101557 [2026-04-06T20:58:21.941Z] variation: NoOptions [2026-04-06T20:58:21.941Z] JVM_OPTIONS: [2026-04-06T20:58:21.941Z] { \ [2026-04-06T20:58:21.941Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T20:58:21.941Z] echo "Nothing to be done for setup."; \ [2026-04-06T20:58:21.941Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17755086661422/renaissance-movie-lens_0"; \ [2026-04-06T20:58:21.941Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17755086661422/renaissance-movie-lens_0"; \ [2026-04-06T20:58:21.941Z] echo ""; echo "TESTING:"; \ [2026-04-06T20:58:21.941Z] "/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_17755086661422/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-06T20:58:21.941Z] 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_17755086661422/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T20:58:21.941Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T20:58:21.941Z] echo "Nothing to be done for teardown."; \ [2026-04-06T20:58:21.941Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17755086661422/TestTargetResult"; [2026-04-06T20:58:21.941Z] [2026-04-06T20:58:21.941Z] TEST SETUP: [2026-04-06T20:58:21.941Z] Nothing to be done for setup. [2026-04-06T20:58:21.941Z] [2026-04-06T20:58:21.941Z] TESTING: [2026-04-06T20:58:25.926Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-06T20:58:29.893Z] 16:58:29.821 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-06T20:58:31.110Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T20:58:31.460Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T20:58:31.460Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T20:58:31.460Z] GC before operation: completed in 90.491 ms, heap usage 431.365 MB -> 74.729 MB. [2026-04-06T20:58:35.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:58:37.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:58:40.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:58:42.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:58:43.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:58:44.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:58:45.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:58:46.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:58:46.988Z] 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. [2026-04-06T20:58:47.341Z] The best model improves the baseline by 14.52%. [2026-04-06T20:58:47.341Z] Top recommended movies for user id 72: [2026-04-06T20:58:47.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:58:47.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:58:47.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:58:47.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:58:47.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:58:47.341Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15765.699 ms) ====== [2026-04-06T20:58:47.341Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T20:58:47.341Z] GC before operation: completed in 118.197 ms, heap usage 561.967 MB -> 90.933 MB. [2026-04-06T20:58:49.732Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:58:51.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:58:53.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:58:55.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:58:56.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:58:58.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:58:59.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:59:00.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:59:00.302Z] 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. [2026-04-06T20:59:00.654Z] The best model improves the baseline by 14.52%. [2026-04-06T20:59:00.654Z] Top recommended movies for user id 72: [2026-04-06T20:59:00.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:59:00.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:59:00.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:59:00.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:59:00.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:59:00.654Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13130.764 ms) ====== [2026-04-06T20:59:00.654Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T20:59:00.654Z] GC before operation: completed in 80.911 ms, heap usage 470.848 MB -> 88.078 MB. [2026-04-06T20:59:02.476Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:59:04.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:59:06.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:59:08.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:59:09.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:59:10.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:59:11.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:59:12.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:59:12.848Z] 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. [2026-04-06T20:59:12.848Z] The best model improves the baseline by 14.52%. [2026-04-06T20:59:12.848Z] Top recommended movies for user id 72: [2026-04-06T20:59:12.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:59:12.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:59:12.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:59:12.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:59:12.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:59:12.848Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12289.151 ms) ====== [2026-04-06T20:59:12.848Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T20:59:13.197Z] GC before operation: completed in 73.910 ms, heap usage 317.701 MB -> 88.471 MB. [2026-04-06T20:59:14.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:59:17.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:59:18.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:59:19.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:59:21.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:59:22.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:59:23.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:59:24.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:59:24.442Z] 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. [2026-04-06T20:59:24.802Z] The best model improves the baseline by 14.52%. [2026-04-06T20:59:24.802Z] Top recommended movies for user id 72: [2026-04-06T20:59:24.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:59:24.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:59:24.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:59:24.802Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:59:24.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:59:24.802Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11685.845 ms) ====== [2026-04-06T20:59:24.802Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T20:59:24.802Z] GC before operation: completed in 74.482 ms, heap usage 428.664 MB -> 88.860 MB. [2026-04-06T20:59:26.566Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:59:28.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:59:30.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:59:32.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:59:33.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:59:34.639Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:59:35.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:59:36.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:59:36.999Z] 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. [2026-04-06T20:59:36.999Z] The best model improves the baseline by 14.52%. [2026-04-06T20:59:36.999Z] Top recommended movies for user id 72: [2026-04-06T20:59:36.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:59:36.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:59:36.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:59:36.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:59:36.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:59:36.999Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12258.524 ms) ====== [2026-04-06T20:59:37.000Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T20:59:37.000Z] GC before operation: completed in 81.380 ms, heap usage 393.949 MB -> 88.816 MB. [2026-04-06T20:59:38.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:59:40.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:59:42.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:59:44.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:59:45.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:59:46.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:59:47.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T20:59:48.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T20:59:49.107Z] 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. [2026-04-06T20:59:49.107Z] The best model improves the baseline by 14.52%. [2026-04-06T20:59:49.107Z] Top recommended movies for user id 72: [2026-04-06T20:59:49.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T20:59:49.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T20:59:49.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T20:59:49.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T20:59:49.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T20:59:49.107Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12042.467 ms) ====== [2026-04-06T20:59:49.107Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T20:59:49.107Z] GC before operation: completed in 75.403 ms, heap usage 304.929 MB -> 89.066 MB. [2026-04-06T20:59:50.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T20:59:52.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T20:59:54.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T20:59:57.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T20:59:57.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T20:59:58.639Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T20:59:59.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:00.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:00.982Z] 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. [2026-04-06T21:00:00.982Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:00.982Z] Top recommended movies for user id 72: [2026-04-06T21:00:00.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:00.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:00.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:00.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:00.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:00.982Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11802.732 ms) ====== [2026-04-06T21:00:00.982Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T21:00:00.982Z] GC before operation: completed in 75.475 ms, heap usage 397.874 MB -> 89.129 MB. [2026-04-06T21:00:02.831Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:00:04.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:00:08.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:00:08.096Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:00:08.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:00:11.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:00:11.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:11.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:11.183Z] 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. [2026-04-06T21:00:11.183Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:11.183Z] Top recommended movies for user id 72: [2026-04-06T21:00:11.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:11.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:11.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:11.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:11.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:11.183Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9931.897 ms) ====== [2026-04-06T21:00:11.183Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T21:00:11.183Z] GC before operation: completed in 66.592 ms, heap usage 139.998 MB -> 89.609 MB. [2026-04-06T21:00:12.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:00:13.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:00:16.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:00:16.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:00:17.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:00:18.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:00:18.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:19.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:19.633Z] 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. [2026-04-06T21:00:19.633Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:19.633Z] Top recommended movies for user id 72: [2026-04-06T21:00:19.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:19.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:19.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:19.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:19.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:19.633Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8642.433 ms) ====== [2026-04-06T21:00:19.633Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T21:00:19.983Z] GC before operation: completed in 65.921 ms, heap usage 223.081 MB -> 88.968 MB. [2026-04-06T21:00:21.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:00:25.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:00:29.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:00:29.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:00:29.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:00:29.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:00:34.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:34.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:34.120Z] 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. [2026-04-06T21:00:34.120Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:34.120Z] Top recommended movies for user id 72: [2026-04-06T21:00:34.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:34.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:34.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:34.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:34.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:34.120Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11792.011 ms) ====== [2026-04-06T21:00:34.120Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T21:00:34.120Z] GC before operation: completed in 79.679 ms, heap usage 294.736 MB -> 89.305 MB. [2026-04-06T21:00:34.120Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:00:39.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:00:39.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:00:39.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:00:43.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:00:43.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:00:43.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:43.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:43.681Z] 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. [2026-04-06T21:00:43.681Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:43.681Z] Top recommended movies for user id 72: [2026-04-06T21:00:43.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:43.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:43.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:43.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:43.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:43.681Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12136.842 ms) ====== [2026-04-06T21:00:43.681Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T21:00:44.112Z] GC before operation: completed in 74.932 ms, heap usage 218.717 MB -> 88.799 MB. [2026-04-06T21:00:45.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:00:48.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:00:50.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:00:52.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:00:53.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:00:54.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:00:55.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:00:56.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:00:56.784Z] 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. [2026-04-06T21:00:56.784Z] The best model improves the baseline by 14.52%. [2026-04-06T21:00:56.784Z] Top recommended movies for user id 72: [2026-04-06T21:00:56.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:00:56.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:00:56.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:00:56.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:00:56.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:00:56.784Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12927.755 ms) ====== [2026-04-06T21:00:56.784Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T21:00:56.784Z] GC before operation: completed in 80.010 ms, heap usage 399.126 MB -> 89.295 MB. [2026-04-06T21:00:58.691Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:00.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:02.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:04.252Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:05.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:06.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:01:07.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:01:08.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:01:08.006Z] 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. [2026-04-06T21:01:08.006Z] The best model improves the baseline by 14.52%. [2026-04-06T21:01:08.006Z] Top recommended movies for user id 72: [2026-04-06T21:01:08.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:01:08.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:01:08.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:01:08.006Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:01:08.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:01:08.006Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11028.896 ms) ====== [2026-04-06T21:01:08.006Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T21:01:08.006Z] GC before operation: completed in 68.328 ms, heap usage 396.375 MB -> 89.433 MB. [2026-04-06T21:01:09.793Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:11.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:12.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:13.987Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:15.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:16.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:01:17.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:01:18.487Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:01:18.487Z] 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. [2026-04-06T21:01:18.487Z] The best model improves the baseline by 14.52%. [2026-04-06T21:01:18.863Z] Top recommended movies for user id 72: [2026-04-06T21:01:18.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:01:18.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:01:18.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:01:18.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:01:18.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:01:18.863Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10680.933 ms) ====== [2026-04-06T21:01:18.863Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T21:01:18.863Z] GC before operation: completed in 85.523 ms, heap usage 194.935 MB -> 89.007 MB. [2026-04-06T21:01:20.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:22.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:24.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:26.564Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:27.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:28.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:01:29.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:01:31.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:01:31.258Z] 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. [2026-04-06T21:01:31.258Z] The best model improves the baseline by 14.52%. [2026-04-06T21:01:31.258Z] Top recommended movies for user id 72: [2026-04-06T21:01:31.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:01:31.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:01:31.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:01:31.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:01:31.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:01:31.258Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12383.106 ms) ====== [2026-04-06T21:01:31.258Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T21:01:31.258Z] GC before operation: completed in 79.713 ms, heap usage 399.726 MB -> 89.500 MB. [2026-04-06T21:01:33.126Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:35.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:36.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:38.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:39.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:40.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:01:41.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:01:42.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:01:42.981Z] 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. [2026-04-06T21:01:42.981Z] The best model improves the baseline by 14.52%. [2026-04-06T21:01:42.981Z] Top recommended movies for user id 72: [2026-04-06T21:01:42.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:01:42.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:01:42.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:01:42.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:01:42.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:01:42.981Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11681.290 ms) ====== [2026-04-06T21:01:42.981Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T21:01:42.981Z] GC before operation: completed in 99.254 ms, heap usage 217.415 MB -> 89.023 MB. [2026-04-06T21:01:44.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:45.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:47.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:48.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:49.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:49.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:01:50.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:01:51.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:01:51.994Z] 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. [2026-04-06T21:01:51.994Z] The best model improves the baseline by 14.52%. [2026-04-06T21:01:51.994Z] Top recommended movies for user id 72: [2026-04-06T21:01:51.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:01:51.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:01:51.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:01:51.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:01:51.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:01:51.994Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8910.936 ms) ====== [2026-04-06T21:01:51.994Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T21:01:51.994Z] GC before operation: completed in 85.387 ms, heap usage 349.986 MB -> 89.382 MB. [2026-04-06T21:01:53.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:01:55.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:01:56.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:01:57.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:01:58.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:01:59.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:02:00.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:02:01.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:02:01.673Z] 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. [2026-04-06T21:02:01.673Z] The best model improves the baseline by 14.52%. [2026-04-06T21:02:02.054Z] Top recommended movies for user id 72: [2026-04-06T21:02:02.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:02:02.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:02:02.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:02:02.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:02:02.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:02:02.054Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9820.245 ms) ====== [2026-04-06T21:02:02.054Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T21:02:02.054Z] GC before operation: completed in 69.276 ms, heap usage 172.580 MB -> 89.046 MB. [2026-04-06T21:02:03.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:02:05.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:02:07.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:02:08.241Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:02:09.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:02:09.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:02:11.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:02:11.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:02:11.815Z] 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. [2026-04-06T21:02:11.815Z] The best model improves the baseline by 14.52%. [2026-04-06T21:02:11.815Z] Top recommended movies for user id 72: [2026-04-06T21:02:11.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:02:11.815Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:02:11.815Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:02:11.815Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:02:11.815Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:02:11.815Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10011.351 ms) ====== [2026-04-06T21:02:11.815Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T21:02:12.171Z] GC before operation: completed in 72.926 ms, heap usage 363.939 MB -> 89.303 MB. [2026-04-06T21:02:13.543Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:02:14.766Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:02:16.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:02:18.302Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:02:19.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:02:20.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:02:21.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:02:22.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:02:22.298Z] 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. [2026-04-06T21:02:22.298Z] The best model improves the baseline by 14.52%. [2026-04-06T21:02:22.663Z] Top recommended movies for user id 72: [2026-04-06T21:02:22.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:02:22.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:02:22.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:02:22.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:02:22.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:02:22.663Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10531.632 ms) ====== [2026-04-06T21:02:23.012Z] ----------------------------------- [2026-04-06T21:02:23.012Z] renaissance-movie-lens_0_PASSED [2026-04-06T21:02:23.012Z] ----------------------------------- [2026-04-06T21:02:23.012Z] [2026-04-06T21:02:23.012Z] TEST TEARDOWN: [2026-04-06T21:02:23.012Z] Nothing to be done for teardown. [2026-04-06T21:02:23.012Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 17:02:22 2026 Epoch Time (ms): 1775509342642