[2026-02-20T21:59:43.663Z] Running test renaissance-movie-lens_0 ... [2026-02-20T21:59:43.663Z] =============================================== [2026-02-20T21:59:43.663Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 16:59:43 2026 Epoch Time (ms): 1771624783098 [2026-02-20T21:59:43.663Z] variation: NoOptions [2026-02-20T21:59:43.663Z] JVM_OPTIONS: [2026-02-20T21:59:43.663Z] { \ [2026-02-20T21:59:43.663Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T21:59:43.663Z] echo "Nothing to be done for setup."; \ [2026-02-20T21:59:43.663Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17716242638590/renaissance-movie-lens_0"; \ [2026-02-20T21:59:43.663Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17716242638590/renaissance-movie-lens_0"; \ [2026-02-20T21:59:43.663Z] echo ""; echo "TESTING:"; \ [2026-02-20T21:59:43.663Z] "/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_17716242638590/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T21:59:43.663Z] 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_17716242638590/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T21:59:43.663Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T21:59:43.663Z] echo "Nothing to be done for teardown."; \ [2026-02-20T21:59:43.663Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17716242638590/TestTargetResult"; [2026-02-20T21:59:43.663Z] [2026-02-20T21:59:43.663Z] TEST SETUP: [2026-02-20T21:59:43.663Z] Nothing to be done for setup. [2026-02-20T21:59:43.663Z] [2026-02-20T21:59:43.663Z] TESTING: [2026-02-20T21:59:49.824Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T21:59:56.044Z] 16:59:55.633 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T21:59:57.889Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T21:59:58.244Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T21:59:58.244Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T21:59:58.244Z] GC before operation: completed in 118.810 ms, heap usage 423.552 MB -> 74.704 MB. [2026-02-20T22:00:03.391Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:00:05.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:00:07.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:00:10.017Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:00:11.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:00:13.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:00:14.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:00:16.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:00:16.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:00:16.276Z] The best model improves the baseline by 14.52%. [2026-02-20T22:00:16.276Z] Top recommended movies for user id 72: [2026-02-20T22:00:16.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:00:16.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:00:16.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:00:16.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:00:16.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:00:16.276Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (17943.330 ms) ====== [2026-02-20T22:00:16.276Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T22:00:16.654Z] GC before operation: completed in 140.868 ms, heap usage 400.762 MB -> 85.841 MB. [2026-02-20T22:00:18.444Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:00:21.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:00:23.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:00:25.803Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:00:27.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:00:27.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:00:29.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:00:30.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:00:30.654Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:00:30.654Z] The best model improves the baseline by 14.52%. [2026-02-20T22:00:30.654Z] Top recommended movies for user id 72: [2026-02-20T22:00:30.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:00:30.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:00:30.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:00:30.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:00:30.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:00:30.654Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14163.694 ms) ====== [2026-02-20T22:00:30.654Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T22:00:30.654Z] GC before operation: completed in 118.972 ms, heap usage 162.626 MB -> 87.711 MB. [2026-02-20T22:00:33.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:00:35.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:00:37.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:00:40.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:00:41.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:00:42.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:00:44.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:00:45.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:00:45.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:00:45.696Z] The best model improves the baseline by 14.52%. [2026-02-20T22:00:45.696Z] Top recommended movies for user id 72: [2026-02-20T22:00:45.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:00:45.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:00:45.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:00:45.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:00:45.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:00:45.696Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15007.315 ms) ====== [2026-02-20T22:00:45.696Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T22:00:45.696Z] GC before operation: completed in 77.887 ms, heap usage 309.388 MB -> 88.474 MB. [2026-02-20T22:00:48.128Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:00:50.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:00:52.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:00:55.333Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:00:57.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:00:58.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:01:00.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:01:01.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:01:01.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:01:01.480Z] The best model improves the baseline by 14.52%. [2026-02-20T22:01:01.480Z] Top recommended movies for user id 72: [2026-02-20T22:01:01.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:01:01.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:01:01.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:01:01.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:01:01.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:01:01.480Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15788.577 ms) ====== [2026-02-20T22:01:01.480Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T22:01:01.839Z] GC before operation: completed in 68.009 ms, heap usage 290.861 MB -> 88.794 MB. [2026-02-20T22:01:05.205Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:01:05.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:01:06.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:01:08.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:01:09.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:01:10.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:01:12.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:01:13.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:01:13.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:01:13.294Z] The best model improves the baseline by 14.52%. [2026-02-20T22:01:13.649Z] Top recommended movies for user id 72: [2026-02-20T22:01:13.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:01:13.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:01:13.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:01:13.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:01:13.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:01:13.649Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11855.979 ms) ====== [2026-02-20T22:01:13.649Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T22:01:13.649Z] GC before operation: completed in 88.097 ms, heap usage 437.535 MB -> 88.842 MB. [2026-02-20T22:01:15.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:01:16.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:01:17.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:01:20.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:01:21.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:01:22.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:01:24.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:01:25.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:01:25.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:01:25.514Z] The best model improves the baseline by 14.52%. [2026-02-20T22:01:25.514Z] Top recommended movies for user id 72: [2026-02-20T22:01:25.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:01:25.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:01:25.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:01:25.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:01:25.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:01:25.514Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11905.195 ms) ====== [2026-02-20T22:01:25.514Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T22:01:25.514Z] GC before operation: completed in 115.396 ms, heap usage 423.549 MB -> 89.096 MB. [2026-02-20T22:01:27.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:01:30.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:01:32.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:01:34.546Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:01:35.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:01:37.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:01:38.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:01:40.212Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:01:40.212Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:01:40.212Z] The best model improves the baseline by 14.52%. [2026-02-20T22:01:40.212Z] Top recommended movies for user id 72: [2026-02-20T22:01:40.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:01:40.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:01:40.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:01:40.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:01:40.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:01:40.212Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14688.768 ms) ====== [2026-02-20T22:01:40.212Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T22:01:40.567Z] GC before operation: completed in 101.311 ms, heap usage 441.772 MB -> 89.078 MB. [2026-02-20T22:01:43.696Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:01:45.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:01:47.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:01:51.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:01:52.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:01:53.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:01:54.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:01:55.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:01:56.020Z] 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. [2026-02-20T22:01:56.020Z] The best model improves the baseline by 14.52%. [2026-02-20T22:01:56.020Z] Top recommended movies for user id 72: [2026-02-20T22:01:56.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:01:56.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:01:56.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:01:56.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:01:56.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:01:56.020Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15612.947 ms) ====== [2026-02-20T22:01:56.020Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T22:01:56.021Z] GC before operation: completed in 74.627 ms, heap usage 335.163 MB -> 89.166 MB. [2026-02-20T22:01:58.446Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:02:00.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:02:03.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:02:05.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:02:06.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:02:07.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:02:08.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:02:11.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:02:11.396Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:02:11.396Z] The best model improves the baseline by 14.52%. [2026-02-20T22:02:11.396Z] Top recommended movies for user id 72: [2026-02-20T22:02:11.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:02:11.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:02:11.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:02:11.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:02:11.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:02:11.397Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15243.787 ms) ====== [2026-02-20T22:02:11.397Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T22:02:11.397Z] GC before operation: completed in 102.316 ms, heap usage 460.095 MB -> 89.258 MB. [2026-02-20T22:02:13.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:02:15.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:02:17.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:02:19.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:02:21.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:02:23.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:02:24.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:02:26.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:02:26.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:02:26.306Z] The best model improves the baseline by 14.52%. [2026-02-20T22:02:26.306Z] Top recommended movies for user id 72: [2026-02-20T22:02:26.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:02:26.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:02:26.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:02:26.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:02:26.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:02:26.306Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14925.059 ms) ====== [2026-02-20T22:02:26.306Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T22:02:26.662Z] GC before operation: completed in 97.302 ms, heap usage 484.885 MB -> 89.427 MB. [2026-02-20T22:02:29.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:02:31.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:02:33.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:02:36.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:02:36.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:02:38.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:02:39.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:02:41.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:02:41.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:02:41.284Z] The best model improves the baseline by 14.52%. [2026-02-20T22:02:41.284Z] Top recommended movies for user id 72: [2026-02-20T22:02:41.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:02:41.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:02:41.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:02:41.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:02:41.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:02:41.284Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14892.445 ms) ====== [2026-02-20T22:02:41.284Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T22:02:41.634Z] GC before operation: completed in 78.811 ms, heap usage 424.800 MB -> 89.091 MB. [2026-02-20T22:02:44.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:02:45.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:02:48.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:02:50.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:02:51.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:02:53.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:02:54.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:02:56.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:02:56.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:02:56.556Z] The best model improves the baseline by 14.52%. [2026-02-20T22:02:56.556Z] Top recommended movies for user id 72: [2026-02-20T22:02:56.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:02:56.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:02:56.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:02:56.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:02:56.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:02:56.556Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15023.622 ms) ====== [2026-02-20T22:02:56.556Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T22:02:56.556Z] GC before operation: completed in 96.840 ms, heap usage 404.871 MB -> 89.266 MB. [2026-02-20T22:02:59.023Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:03:01.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:03:04.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:03:06.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:03:07.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:03:09.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:03:10.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:03:12.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:03:12.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:03:12.072Z] The best model improves the baseline by 14.52%. [2026-02-20T22:03:12.072Z] Top recommended movies for user id 72: [2026-02-20T22:03:12.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:03:12.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:03:12.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:03:12.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:03:12.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:03:12.072Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15388.977 ms) ====== [2026-02-20T22:03:12.072Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T22:03:12.072Z] GC before operation: completed in 83.278 ms, heap usage 311.334 MB -> 89.312 MB. [2026-02-20T22:03:14.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:03:16.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:03:18.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:03:21.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:03:22.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:03:23.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:03:25.001Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:03:26.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:03:26.589Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:03:26.589Z] The best model improves the baseline by 14.52%. [2026-02-20T22:03:26.589Z] Top recommended movies for user id 72: [2026-02-20T22:03:26.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:03:26.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:03:26.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:03:26.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:03:26.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:03:26.589Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14533.213 ms) ====== [2026-02-20T22:03:26.589Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T22:03:26.589Z] GC before operation: completed in 81.631 ms, heap usage 191.677 MB -> 88.934 MB. [2026-02-20T22:03:28.982Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:03:31.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:03:33.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:03:35.526Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:03:36.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:03:37.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:03:38.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:03:39.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:03:39.479Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:03:39.479Z] The best model improves the baseline by 14.52%. [2026-02-20T22:03:39.837Z] Top recommended movies for user id 72: [2026-02-20T22:03:39.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:03:39.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:03:39.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:03:39.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:03:39.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:03:39.837Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12956.805 ms) ====== [2026-02-20T22:03:39.837Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T22:03:39.837Z] GC before operation: completed in 102.544 ms, heap usage 163.582 MB -> 89.201 MB. [2026-02-20T22:03:41.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:03:43.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:03:45.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:03:48.224Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:03:50.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:03:51.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:03:53.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:03:54.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:03:54.868Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:03:54.868Z] The best model improves the baseline by 14.52%. [2026-02-20T22:03:54.868Z] Top recommended movies for user id 72: [2026-02-20T22:03:54.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:03:54.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:03:54.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:03:54.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:03:54.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:03:54.868Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15085.376 ms) ====== [2026-02-20T22:03:54.868Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T22:03:54.868Z] GC before operation: completed in 105.568 ms, heap usage 386.150 MB -> 89.248 MB. [2026-02-20T22:03:57.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:04:00.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:04:02.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:04:04.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:04:05.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:04:07.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:04:08.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:04:09.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:04:10.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:04:10.010Z] The best model improves the baseline by 14.52%. [2026-02-20T22:04:10.010Z] Top recommended movies for user id 72: [2026-02-20T22:04:10.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:04:10.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:04:10.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:04:10.010Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:04:10.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:04:10.010Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15121.581 ms) ====== [2026-02-20T22:04:10.010Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T22:04:10.367Z] GC before operation: completed in 106.958 ms, heap usage 213.626 MB -> 89.136 MB. [2026-02-20T22:04:12.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:04:14.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:04:16.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:04:18.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:04:19.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:04:20.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:04:21.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:04:22.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:04:22.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:04:22.685Z] The best model improves the baseline by 14.52%. [2026-02-20T22:04:23.035Z] Top recommended movies for user id 72: [2026-02-20T22:04:23.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:04:23.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:04:23.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:04:23.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:04:23.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:04:23.035Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12694.283 ms) ====== [2026-02-20T22:04:23.035Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T22:04:23.035Z] GC before operation: completed in 73.267 ms, heap usage 483.206 MB -> 89.350 MB. [2026-02-20T22:04:24.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:04:26.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:04:29.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:04:31.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:04:32.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:04:34.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:04:35.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:04:37.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:04:37.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:04:37.180Z] The best model improves the baseline by 14.52%. [2026-02-20T22:04:37.180Z] Top recommended movies for user id 72: [2026-02-20T22:04:37.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:04:37.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:04:37.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:04:37.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:04:37.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:04:37.180Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14330.135 ms) ====== [2026-02-20T22:04:37.180Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T22:04:37.550Z] GC before operation: completed in 93.327 ms, heap usage 385.832 MB -> 89.307 MB. [2026-02-20T22:04:40.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:04:42.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:04:44.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:04:46.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:04:48.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:04:49.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:04:51.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:04:52.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:04:52.810Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:04:52.810Z] The best model improves the baseline by 14.52%. [2026-02-20T22:04:52.810Z] Top recommended movies for user id 72: [2026-02-20T22:04:52.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:04:52.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:04:52.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:04:52.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:04:52.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:04:52.810Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15444.502 ms) ====== [2026-02-20T22:04:54.048Z] ----------------------------------- [2026-02-20T22:04:54.048Z] renaissance-movie-lens_0_PASSED [2026-02-20T22:04:54.048Z] ----------------------------------- [2026-02-20T22:04:54.048Z] [2026-02-20T22:04:54.048Z] TEST TEARDOWN: [2026-02-20T22:04:54.048Z] Nothing to be done for teardown. [2026-02-20T22:04:54.048Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 17:04:53 2026 Epoch Time (ms): 1771625093600