[2026-02-20T22:36:39.106Z] Running test renaissance-movie-lens_0 ... [2026-02-20T22:36:39.106Z] =============================================== [2026-02-20T22:36:39.106Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 22:36:38 2026 Epoch Time (ms): 1771626998991 [2026-02-20T22:36:39.106Z] variation: NoOptions [2026-02-20T22:36:39.106Z] JVM_OPTIONS: [2026-02-20T22:36:39.106Z] { \ [2026-02-20T22:36:39.106Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T22:36:39.106Z] echo "Nothing to be done for setup."; \ [2026-02-20T22:36:39.106Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17716260031451/renaissance-movie-lens_0"; \ [2026-02-20T22:36:39.106Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17716260031451/renaissance-movie-lens_0"; \ [2026-02-20T22:36:39.106Z] echo ""; echo "TESTING:"; \ [2026-02-20T22:36:39.106Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17716260031451/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T22:36:39.106Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17716260031451/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T22:36:39.106Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T22:36:39.106Z] echo "Nothing to be done for teardown."; \ [2026-02-20T22:36:39.106Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17716260031451/TestTargetResult"; [2026-02-20T22:36:39.106Z] [2026-02-20T22:36:39.106Z] TEST SETUP: [2026-02-20T22:36:39.106Z] Nothing to be done for setup. [2026-02-20T22:36:39.106Z] [2026-02-20T22:36:39.106Z] TESTING: [2026-02-20T22:36:45.148Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T22:36:52.408Z] 22:36:52.170 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. [2026-02-20T22:36:55.363Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T22:36:55.692Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T22:36:55.692Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T22:36:55.692Z] GC before operation: completed in 166.762 ms, heap usage 303.214 MB -> 74.363 MB. [2026-02-20T22:37:02.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:07.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:10.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:37:16.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:37:18.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:37:19.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:37:21.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:37:23.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:37:24.071Z] 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. [2026-02-20T22:37:24.071Z] The best model improves the baseline by 14.52%. [2026-02-20T22:37:24.071Z] Top recommended movies for user id 72: [2026-02-20T22:37:24.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:37:24.071Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:37:24.071Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:37:24.071Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:37:24.071Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:37:24.071Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28314.076 ms) ====== [2026-02-20T22:37:24.071Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T22:37:24.404Z] GC before operation: completed in 212.274 ms, heap usage 462.707 MB -> 86.960 MB. [2026-02-20T22:37:27.358Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:30.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:33.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:37:36.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:37:37.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:37:39.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:37:41.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:37:42.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:37:43.665Z] 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. [2026-02-20T22:37:43.665Z] The best model improves the baseline by 14.52%. [2026-02-20T22:37:43.665Z] Top recommended movies for user id 72: [2026-02-20T22:37:43.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:37:43.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:37:43.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:37:43.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:37:43.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:37:43.665Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19346.419 ms) ====== [2026-02-20T22:37:43.665Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T22:37:43.992Z] GC before operation: completed in 183.285 ms, heap usage 493.105 MB -> 87.853 MB. [2026-02-20T22:37:46.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:49.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:52.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:37:55.243Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:37:56.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:37:58.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:00.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:01.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:02.227Z] 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. [2026-02-20T22:38:02.227Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:02.560Z] Top recommended movies for user id 72: [2026-02-20T22:38:02.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:02.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:02.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:02.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:02.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:02.560Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18582.624 ms) ====== [2026-02-20T22:38:02.560Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T22:38:02.560Z] GC before operation: completed in 202.128 ms, heap usage 410.974 MB -> 88.317 MB. [2026-02-20T22:38:05.506Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:38:07.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:38:10.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:13.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:14.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:16.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:18.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:20.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:20.423Z] 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. [2026-02-20T22:38:20.423Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:20.423Z] Top recommended movies for user id 72: [2026-02-20T22:38:20.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:20.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:20.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:20.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:20.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:20.423Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17849.688 ms) ====== [2026-02-20T22:38:20.423Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T22:38:20.757Z] GC before operation: completed in 200.844 ms, heap usage 332.073 MB -> 88.494 MB. [2026-02-20T22:38:23.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:38:26.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:38:29.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:31.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:33.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:34.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:36.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:38.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:38.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:38:38.068Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:38.395Z] Top recommended movies for user id 72: [2026-02-20T22:38:38.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:38.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:38.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:38.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:38.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:38.395Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17595.159 ms) ====== [2026-02-20T22:38:38.395Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T22:38:38.395Z] GC before operation: completed in 166.228 ms, heap usage 268.347 MB -> 88.442 MB. [2026-02-20T22:38:41.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:38:44.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:38:46.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:48.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:50.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:51.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:53.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:55.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:55.148Z] 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. [2026-02-20T22:38:55.148Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:55.475Z] Top recommended movies for user id 72: [2026-02-20T22:38:55.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:55.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:55.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:55.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:55.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:55.475Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16885.064 ms) ====== [2026-02-20T22:38:55.475Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T22:38:55.475Z] GC before operation: completed in 206.924 ms, heap usage 109.457 MB -> 91.924 MB. [2026-02-20T22:38:58.438Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:39:00.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:39:03.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:39:06.029Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:39:07.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:39:08.896Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:39:10.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:39:11.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:39:12.099Z] 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. [2026-02-20T22:39:12.099Z] The best model improves the baseline by 14.52%. [2026-02-20T22:39:12.443Z] Top recommended movies for user id 72: [2026-02-20T22:39:12.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:39:12.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:39:12.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:39:12.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:39:12.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:39:12.443Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16742.950 ms) ====== [2026-02-20T22:39:12.443Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T22:39:12.443Z] GC before operation: completed in 185.061 ms, heap usage 454.950 MB -> 88.907 MB. [2026-02-20T22:39:15.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:39:17.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:39:20.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:39:22.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:39:23.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:39:25.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:39:27.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:39:28.390Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:39:28.730Z] 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. [2026-02-20T22:39:28.730Z] The best model improves the baseline by 14.52%. [2026-02-20T22:39:28.730Z] Top recommended movies for user id 72: [2026-02-20T22:39:28.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:39:28.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:39:28.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:39:28.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:39:28.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:39:28.730Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16251.208 ms) ====== [2026-02-20T22:39:28.730Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T22:39:29.073Z] GC before operation: completed in 174.072 ms, heap usage 535.981 MB -> 89.279 MB. [2026-02-20T22:39:31.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:39:34.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:39:36.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:39:39.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:39:40.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:39:41.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:39:43.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:39:44.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:39:45.126Z] 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. [2026-02-20T22:39:45.126Z] The best model improves the baseline by 14.52%. [2026-02-20T22:39:45.126Z] Top recommended movies for user id 72: [2026-02-20T22:39:45.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:39:45.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:39:45.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:39:45.126Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:39:45.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:39:45.126Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16341.971 ms) ====== [2026-02-20T22:39:45.126Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T22:39:45.460Z] GC before operation: completed in 164.551 ms, heap usage 237.940 MB -> 88.662 MB. [2026-02-20T22:39:48.436Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:39:50.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:39:53.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:39:55.531Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:39:56.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:39:58.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:39:59.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:40:01.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:40:01.579Z] 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. [2026-02-20T22:40:01.579Z] The best model improves the baseline by 14.52%. [2026-02-20T22:40:01.579Z] Top recommended movies for user id 72: [2026-02-20T22:40:01.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:40:01.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:40:01.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:40:01.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:40:01.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:40:01.579Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16141.420 ms) ====== [2026-02-20T22:40:01.579Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T22:40:01.579Z] GC before operation: completed in 187.181 ms, heap usage 378.318 MB -> 89.084 MB. [2026-02-20T22:40:04.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:40:07.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:40:10.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:40:11.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:40:13.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:40:15.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:40:16.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:40:18.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:40:18.328Z] 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. [2026-02-20T22:40:18.328Z] The best model improves the baseline by 14.52%. [2026-02-20T22:40:18.328Z] Top recommended movies for user id 72: [2026-02-20T22:40:18.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:40:18.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:40:18.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:40:18.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:40:18.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:40:18.328Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16717.148 ms) ====== [2026-02-20T22:40:18.328Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T22:40:18.673Z] GC before operation: completed in 178.924 ms, heap usage 484.078 MB -> 89.019 MB. [2026-02-20T22:40:21.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:40:24.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:40:26.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:40:28.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:40:30.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:40:31.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:40:33.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:40:34.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:40:34.917Z] 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. [2026-02-20T22:40:34.917Z] The best model improves the baseline by 14.52%. [2026-02-20T22:40:35.251Z] Top recommended movies for user id 72: [2026-02-20T22:40:35.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:40:35.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:40:35.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:40:35.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:40:35.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:40:35.251Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16461.037 ms) ====== [2026-02-20T22:40:35.251Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T22:40:35.252Z] GC before operation: completed in 192.018 ms, heap usage 514.745 MB -> 89.211 MB. [2026-02-20T22:40:38.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:40:40.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:40:43.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:40:45.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:40:46.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:40:48.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:40:50.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:40:51.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:40:51.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:40:51.955Z] The best model improves the baseline by 14.52%. [2026-02-20T22:40:52.298Z] Top recommended movies for user id 72: [2026-02-20T22:40:52.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:40:52.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:40:52.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:40:52.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:40:52.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:40:52.298Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16847.342 ms) ====== [2026-02-20T22:40:52.298Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T22:40:52.298Z] GC before operation: completed in 168.038 ms, heap usage 511.605 MB -> 89.294 MB. [2026-02-20T22:40:55.311Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:40:57.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:41:00.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:41:02.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:41:03.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:41:05.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:41:07.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:41:08.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:41:08.728Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:41:08.728Z] The best model improves the baseline by 14.52%. [2026-02-20T22:41:08.728Z] Top recommended movies for user id 72: [2026-02-20T22:41:08.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:41:08.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:41:08.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:41:08.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:41:08.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:41:08.728Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16572.135 ms) ====== [2026-02-20T22:41:08.728Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T22:41:09.064Z] GC before operation: completed in 198.710 ms, heap usage 157.177 MB -> 88.652 MB. [2026-02-20T22:41:12.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:41:14.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:41:17.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:41:19.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:41:20.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:41:22.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:41:24.113Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:41:25.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:41:25.596Z] 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. [2026-02-20T22:41:25.596Z] The best model improves the baseline by 14.52%. [2026-02-20T22:41:25.596Z] Top recommended movies for user id 72: [2026-02-20T22:41:25.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:41:25.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:41:25.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:41:25.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:41:25.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:41:25.596Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16656.545 ms) ====== [2026-02-20T22:41:25.596Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T22:41:25.924Z] GC before operation: completed in 192.917 ms, heap usage 469.641 MB -> 89.298 MB. [2026-02-20T22:41:28.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:41:31.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:41:34.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:41:36.387Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:41:38.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:41:39.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:41:41.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:41:42.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:41:42.839Z] 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. [2026-02-20T22:41:42.839Z] The best model improves the baseline by 14.52%. [2026-02-20T22:41:43.168Z] Top recommended movies for user id 72: [2026-02-20T22:41:43.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:41:43.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:41:43.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:41:43.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:41:43.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:41:43.168Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17185.875 ms) ====== [2026-02-20T22:41:43.168Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T22:41:43.168Z] GC before operation: completed in 167.620 ms, heap usage 135.373 MB -> 88.680 MB. [2026-02-20T22:41:46.213Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:41:48.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:41:51.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:41:53.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:41:55.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:41:56.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:41:58.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:41:59.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:42:00.263Z] 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. [2026-02-20T22:42:00.263Z] The best model improves the baseline by 14.52%. [2026-02-20T22:42:00.263Z] Top recommended movies for user id 72: [2026-02-20T22:42:00.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:42:00.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:42:00.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:42:00.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:42:00.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:42:00.263Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17108.520 ms) ====== [2026-02-20T22:42:00.263Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T22:42:00.592Z] GC before operation: completed in 200.678 ms, heap usage 459.538 MB -> 89.193 MB. [2026-02-20T22:42:03.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:42:05.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:42:08.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:42:10.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:42:12.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:42:13.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:42:15.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:42:16.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:42:16.919Z] 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. [2026-02-20T22:42:16.919Z] The best model improves the baseline by 14.52%. [2026-02-20T22:42:16.919Z] Top recommended movies for user id 72: [2026-02-20T22:42:16.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:42:16.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:42:16.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:42:16.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:42:16.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:42:16.919Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16467.721 ms) ====== [2026-02-20T22:42:16.919Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T22:42:17.248Z] GC before operation: completed in 183.112 ms, heap usage 191.522 MB -> 88.731 MB. [2026-02-20T22:42:20.200Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:42:22.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:42:24.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:42:26.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:42:28.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:42:30.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:42:31.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:42:33.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:42:33.659Z] 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. [2026-02-20T22:42:33.659Z] The best model improves the baseline by 14.52%. [2026-02-20T22:42:33.659Z] Top recommended movies for user id 72: [2026-02-20T22:42:33.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:42:33.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:42:33.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:42:33.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:42:33.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:42:33.659Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16521.553 ms) ====== [2026-02-20T22:42:33.659Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T22:42:33.988Z] GC before operation: completed in 177.869 ms, heap usage 632.113 MB -> 92.610 MB. [2026-02-20T22:42:36.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:42:39.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:42:42.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:42:43.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:42:45.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:42:47.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:42:48.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:42:50.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:42:50.590Z] 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. [2026-02-20T22:42:50.590Z] The best model improves the baseline by 14.52%. [2026-02-20T22:42:50.590Z] Top recommended movies for user id 72: [2026-02-20T22:42:50.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:42:50.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:42:50.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:42:50.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:42:50.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:42:50.590Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16759.182 ms) ====== [2026-02-20T22:42:51.738Z] ----------------------------------- [2026-02-20T22:42:51.738Z] renaissance-movie-lens_0_PASSED [2026-02-20T22:42:51.738Z] ----------------------------------- [2026-02-20T22:42:51.738Z] [2026-02-20T22:42:51.738Z] TEST TEARDOWN: [2026-02-20T22:42:51.738Z] Nothing to be done for teardown. [2026-02-20T22:42:51.738Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 22:42:51 2026 Epoch Time (ms): 1771627371333