[2026-04-22T14:46:56.480Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:46:56.480Z] =============================================== [2026-04-22T14:46:56.480Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:46:56 2026 Epoch Time (ms): 1776869216227 [2026-04-22T14:46:56.480Z] variation: NoOptions [2026-04-22T14:46:56.480Z] JVM_OPTIONS: [2026-04-22T14:46:56.481Z] { \ [2026-04-22T14:46:56.481Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:46:56.481Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:46:56.481Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768677679751/renaissance-movie-lens_0"; \ [2026-04-22T14:46:56.481Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768677679751/renaissance-movie-lens_0"; \ [2026-04-22T14:46:56.481Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:46:56.481Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-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_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768677679751/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:46:56.481Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768677679751/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:46:56.481Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:46:56.481Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:46:56.481Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768677679751/TestTargetResult"; [2026-04-22T14:46:56.481Z] [2026-04-22T14:46:56.481Z] TEST SETUP: [2026-04-22T14:46:56.481Z] Nothing to be done for setup. [2026-04-22T14:46:56.481Z] [2026-04-22T14:46:56.481Z] TESTING: [2026-04-22T14:47:06.526Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:47:19.830Z] 14:47:19.023 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:47:24.223Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:47:26.592Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:47:26.592Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:47:26.592Z] GC before operation: completed in 354.022 ms, heap usage 290.808 MB -> 75.713 MB. [2026-04-22T14:47:42.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:52.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:00.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:07.624Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:13.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:17.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:20.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:22.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:23.476Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:48:23.476Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:24.231Z] Top recommended movies for user id 72: [2026-04-22T14:48:24.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:24.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:24.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:24.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:24.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:24.231Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57820.359 ms) ====== [2026-04-22T14:48:24.231Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:48:25.020Z] GC before operation: completed in 255.395 ms, heap usage 249.245 MB -> 91.286 MB. [2026-04-22T14:48:30.539Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:37.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:42.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:48.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:51.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:55.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:57.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:49:00.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:49:00.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:49:00.984Z] The best model improves the baseline by 14.52%. [2026-04-22T14:49:00.984Z] Top recommended movies for user id 72: [2026-04-22T14:49:00.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:49:00.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:49:00.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:49:00.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:49:00.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:49:00.984Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36683.345 ms) ====== [2026-04-22T14:49:00.984Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:49:01.730Z] GC before operation: completed in 175.141 ms, heap usage 192.101 MB -> 90.177 MB. [2026-04-22T14:49:06.215Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:49:10.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:49:16.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:49:20.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:49:23.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:49:26.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:49:29.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:49:32.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:49:32.028Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:49:32.028Z] The best model improves the baseline by 14.52%. [2026-04-22T14:49:32.786Z] Top recommended movies for user id 72: [2026-04-22T14:49:32.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:49:32.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:49:32.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:49:32.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:49:32.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:49:32.786Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30927.983 ms) ====== [2026-04-22T14:49:32.786Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:49:32.786Z] GC before operation: completed in 243.493 ms, heap usage 123.099 MB -> 88.933 MB. [2026-04-22T14:49:37.148Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:49:42.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:49:47.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:49:50.869Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:49:54.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:49:56.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:49:59.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:50:01.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:50:01.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:50:01.460Z] The best model improves the baseline by 14.52%. [2026-04-22T14:50:02.214Z] Top recommended movies for user id 72: [2026-04-22T14:50:02.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:50:02.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:50:02.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:50:02.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:50:02.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:50:02.214Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29378.927 ms) ====== [2026-04-22T14:50:02.214Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:50:02.214Z] GC before operation: completed in 252.454 ms, heap usage 488.110 MB -> 89.743 MB. [2026-04-22T14:50:07.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:50:13.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:50:19.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:50:24.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:50:28.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:50:31.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:50:35.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:50:40.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:50:40.168Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:50:40.168Z] The best model improves the baseline by 14.52%. [2026-04-22T14:50:40.922Z] Top recommended movies for user id 72: [2026-04-22T14:50:40.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:50:40.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:50:40.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:50:40.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:50:40.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:50:40.922Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38383.836 ms) ====== [2026-04-22T14:50:40.922Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:50:40.922Z] GC before operation: completed in 388.494 ms, heap usage 176.880 MB -> 89.352 MB. [2026-04-22T14:50:47.679Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:50:53.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:50:58.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:51:04.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:51:07.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:51:10.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:51:13.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:51:17.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:51:18.061Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:51:18.061Z] The best model improves the baseline by 14.52%. [2026-04-22T14:51:18.061Z] Top recommended movies for user id 72: [2026-04-22T14:51:18.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:51:18.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:51:18.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:51:18.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:51:18.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:51:18.061Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37076.295 ms) ====== [2026-04-22T14:51:18.061Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:51:18.061Z] GC before operation: completed in 208.282 ms, heap usage 394.391 MB -> 92.186 MB. [2026-04-22T14:51:26.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:51:31.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:51:37.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:51:42.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:51:45.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:51:49.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:51:52.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:51:55.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:51:56.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:51:56.571Z] The best model improves the baseline by 14.52%. [2026-04-22T14:51:57.321Z] Top recommended movies for user id 72: [2026-04-22T14:51:57.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:51:57.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:51:57.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:51:57.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:51:57.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:51:57.321Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38664.479 ms) ====== [2026-04-22T14:51:57.321Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:51:57.321Z] GC before operation: completed in 223.690 ms, heap usage 530.702 MB -> 92.249 MB. [2026-04-22T14:52:04.061Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:52:09.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:52:15.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:52:19.618Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:52:22.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:52:25.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:52:29.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:52:31.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:52:32.421Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:52:32.421Z] The best model improves the baseline by 14.52%. [2026-04-22T14:52:33.224Z] Top recommended movies for user id 72: [2026-04-22T14:52:33.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:52:33.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:52:33.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:52:33.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:52:33.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:52:33.224Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35581.590 ms) ====== [2026-04-22T14:52:33.224Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:52:33.224Z] GC before operation: completed in 315.498 ms, heap usage 591.489 MB -> 96.032 MB. [2026-04-22T14:52:38.701Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:52:44.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:52:49.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:52:54.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:52:57.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:53:01.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:53:03.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:53:07.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:53:07.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:53:07.864Z] The best model improves the baseline by 14.52%. [2026-04-22T14:53:07.864Z] Top recommended movies for user id 72: [2026-04-22T14:53:07.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:53:07.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:53:07.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:53:07.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:53:07.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:53:07.864Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (35039.075 ms) ====== [2026-04-22T14:53:07.864Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:53:08.620Z] GC before operation: completed in 232.474 ms, heap usage 452.419 MB -> 91.797 MB. [2026-04-22T14:53:14.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:53:19.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:53:23.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:53:28.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:53:31.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:53:34.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:53:38.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:53:41.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:53:41.375Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:53:41.375Z] The best model improves the baseline by 14.52%. [2026-04-22T14:53:42.130Z] Top recommended movies for user id 72: [2026-04-22T14:53:42.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:53:42.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:53:42.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:53:42.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:53:42.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:53:42.130Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33449.471 ms) ====== [2026-04-22T14:53:42.130Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:53:42.130Z] GC before operation: completed in 273.687 ms, heap usage 628.630 MB -> 93.749 MB. [2026-04-22T14:53:47.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:53:53.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:53:58.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:54:04.161Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:54:07.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:54:10.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:54:13.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:54:17.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:54:17.987Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:54:17.987Z] The best model improves the baseline by 14.52%. [2026-04-22T14:54:18.733Z] Top recommended movies for user id 72: [2026-04-22T14:54:18.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:54:18.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:54:18.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:54:18.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:54:18.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:54:18.733Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36224.535 ms) ====== [2026-04-22T14:54:18.733Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:54:18.733Z] GC before operation: completed in 252.542 ms, heap usage 328.793 MB -> 89.822 MB. [2026-04-22T14:54:25.530Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:54:33.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:54:38.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:54:43.693Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:54:47.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:54:50.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:54:53.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:54:56.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:54:57.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:54:57.424Z] The best model improves the baseline by 14.52%. [2026-04-22T14:54:57.424Z] Top recommended movies for user id 72: [2026-04-22T14:54:57.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:54:57.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:54:57.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:54:57.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:54:57.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:54:57.424Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (38778.498 ms) ====== [2026-04-22T14:54:57.424Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:54:57.424Z] GC before operation: completed in 262.770 ms, heap usage 293.418 MB -> 91.834 MB. [2026-04-22T14:55:02.916Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:55:07.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:55:12.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:55:17.163Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:55:21.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:55:25.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:55:29.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:55:32.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:55:32.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:55:32.846Z] The best model improves the baseline by 14.52%. [2026-04-22T14:55:33.623Z] Top recommended movies for user id 72: [2026-04-22T14:55:33.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:55:33.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:55:33.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:55:33.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:55:33.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:55:33.623Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35664.692 ms) ====== [2026-04-22T14:55:33.623Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:55:33.623Z] GC before operation: completed in 264.214 ms, heap usage 547.255 MB -> 94.069 MB. [2026-04-22T14:55:40.368Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:55:43.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:55:47.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:55:50.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:55:52.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:55:54.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:55:56.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:55:58.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:55:58.387Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:55:58.387Z] The best model improves the baseline by 14.52%. [2026-04-22T14:55:59.134Z] Top recommended movies for user id 72: [2026-04-22T14:55:59.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:55:59.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:55:59.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:55:59.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:55:59.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:55:59.134Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25202.386 ms) ====== [2026-04-22T14:55:59.134Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:55:59.134Z] GC before operation: completed in 110.512 ms, heap usage 175.445 MB -> 92.132 MB. [2026-04-22T14:56:02.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:56:05.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:56:10.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:56:13.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:56:14.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:56:17.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:56:18.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:56:20.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:56:20.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:56:20.080Z] The best model improves the baseline by 14.52%. [2026-04-22T14:56:20.080Z] Top recommended movies for user id 72: [2026-04-22T14:56:20.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:56:20.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:56:20.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:56:20.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:56:20.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:56:20.080Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21250.496 ms) ====== [2026-04-22T14:56:20.080Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:56:20.080Z] GC before operation: completed in 120.014 ms, heap usage 630.781 MB -> 97.617 MB. [2026-04-22T14:56:23.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:56:26.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:56:30.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:56:32.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:56:34.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:56:37.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:56:38.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:56:41.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:56:41.276Z] 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. [2026-04-22T14:56:41.276Z] The best model improves the baseline by 14.52%. [2026-04-22T14:56:41.276Z] Top recommended movies for user id 72: [2026-04-22T14:56:41.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:56:41.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:56:41.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:56:41.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:56:41.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:56:41.276Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21058.257 ms) ====== [2026-04-22T14:56:41.276Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:56:41.276Z] GC before operation: completed in 168.284 ms, heap usage 457.496 MB -> 93.891 MB. [2026-04-22T14:56:44.624Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:56:47.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:56:51.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:56:54.159Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:56:55.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:56:57.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:56:58.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:57:00.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:57:00.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:57:00.334Z] The best model improves the baseline by 14.52%. [2026-04-22T14:57:01.077Z] Top recommended movies for user id 72: [2026-04-22T14:57:01.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:57:01.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:57:01.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:57:01.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:57:01.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:57:01.078Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19322.799 ms) ====== [2026-04-22T14:57:01.078Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:57:01.078Z] GC before operation: completed in 207.185 ms, heap usage 238.315 MB -> 92.332 MB. [2026-04-22T14:57:04.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:57:06.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:10.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:13.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:57:15.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:57:16.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:57:18.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:57:19.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:57:20.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:57:20.550Z] The best model improves the baseline by 14.52%. [2026-04-22T14:57:20.550Z] Top recommended movies for user id 72: [2026-04-22T14:57:20.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:57:20.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:57:20.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:57:20.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:57:20.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:57:20.550Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19430.940 ms) ====== [2026-04-22T14:57:20.550Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:57:20.550Z] GC before operation: completed in 195.078 ms, heap usage 188.132 MB -> 89.914 MB. [2026-04-22T14:57:23.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:57:26.259Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:29.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:31.420Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:57:32.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:57:35.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:57:36.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:57:38.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:57:38.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:57:38.503Z] The best model improves the baseline by 14.52%. [2026-04-22T14:57:38.503Z] Top recommended movies for user id 72: [2026-04-22T14:57:38.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:57:38.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:57:38.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:57:38.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:57:38.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:57:38.503Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17879.111 ms) ====== [2026-04-22T14:57:38.503Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T14:57:38.503Z] GC before operation: completed in 144.348 ms, heap usage 627.669 MB -> 93.797 MB. [2026-04-22T14:57:42.117Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:57:43.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:46.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:49.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:57:51.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:57:52.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:57:54.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:57:56.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:57:56.562Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:57:56.562Z] The best model improves the baseline by 14.52%. [2026-04-22T14:57:56.562Z] Top recommended movies for user id 72: [2026-04-22T14:57:56.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:57:56.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:57:56.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:57:56.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:57:56.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:57:56.562Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17965.681 ms) ====== [2026-04-22T14:57:57.314Z] ----------------------------------- [2026-04-22T14:57:57.314Z] renaissance-movie-lens_0_PASSED [2026-04-22T14:57:57.314Z] ----------------------------------- [2026-04-22T14:57:57.314Z] [2026-04-22T14:57:57.314Z] TEST TEARDOWN: [2026-04-22T14:57:57.314Z] Nothing to be done for teardown. [2026-04-22T14:57:57.314Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 14:57:56 2026 Epoch Time (ms): 1776869876788