[2026-02-11T16:35:10.223Z] Running test renaissance-movie-lens_0 ... [2026-02-11T16:35:10.223Z] =============================================== [2026-02-11T16:35:10.223Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 16:35:09 2026 Epoch Time (ms): 1770827709637 [2026-02-11T16:35:10.223Z] variation: NoOptions [2026-02-11T16:35:10.223Z] JVM_OPTIONS: [2026-02-11T16:35:10.223Z] { \ [2026-02-11T16:35:10.223Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T16:35:10.223Z] echo "Nothing to be done for setup."; \ [2026-02-11T16:35:10.223Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1770826261411/renaissance-movie-lens_0"; \ [2026-02-11T16:35:10.223Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1770826261411/renaissance-movie-lens_0"; \ [2026-02-11T16:35:10.223Z] echo ""; echo "TESTING:"; \ [2026-02-11T16:35:10.223Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1770826261411/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T16:35:10.223Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1770826261411/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T16:35:10.223Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T16:35:10.223Z] echo "Nothing to be done for teardown."; \ [2026-02-11T16:35:10.223Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1770826261411/TestTargetResult"; [2026-02-11T16:35:10.223Z] [2026-02-11T16:35:10.223Z] TEST SETUP: [2026-02-11T16:35:10.223Z] Nothing to be done for setup. [2026-02-11T16:35:10.223Z] [2026-02-11T16:35:10.223Z] TESTING: [2026-02-11T16:35:11.191Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-11T16:35:11.191Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_1770826261411/renaissance-movie-lens_0/launcher-163509-8346665196302289168/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-11T16:35:11.191Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-11T16:35:11.191Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-11T16:35:21.026Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T16:35:37.042Z] 16:35:35.733 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T16:35:39.179Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T16:35:40.157Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T16:35:40.157Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T16:35:41.127Z] GC before operation: completed in 141.501 ms, heap usage 137.459 MB -> 75.852 MB. [2026-02-11T16:35:51.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:35:58.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:36:05.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:36:11.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:36:14.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:36:17.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:36:21.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:36:25.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:36:26.233Z] 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. [2026-02-11T16:36:26.233Z] The best model improves the baseline by 14.52%. [2026-02-11T16:36:26.233Z] Top recommended movies for user id 72: [2026-02-11T16:36:26.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:36:26.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:36:26.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:36:26.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:36:26.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:36:26.233Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45764.400 ms) ====== [2026-02-11T16:36:26.233Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T16:36:27.427Z] GC before operation: completed in 306.823 ms, heap usage 416.061 MB -> 86.634 MB. [2026-02-11T16:36:33.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:36:37.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:36:41.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:36:47.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:36:50.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:36:53.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:36:56.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:36:58.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:36:59.769Z] 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. [2026-02-11T16:36:59.769Z] The best model improves the baseline by 14.52%. [2026-02-11T16:36:59.769Z] Top recommended movies for user id 72: [2026-02-11T16:36:59.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:36:59.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:36:59.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:36:59.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:36:59.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:36:59.769Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33175.392 ms) ====== [2026-02-11T16:36:59.769Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T16:36:59.769Z] GC before operation: completed in 232.692 ms, heap usage 99.398 MB -> 88.752 MB. [2026-02-11T16:37:05.310Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:37:09.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:37:15.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:37:18.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:37:21.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:37:23.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:37:26.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:37:28.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:37:29.270Z] 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. [2026-02-11T16:37:29.270Z] The best model improves the baseline by 14.52%. [2026-02-11T16:37:29.270Z] Top recommended movies for user id 72: [2026-02-11T16:37:29.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:37:29.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:37:29.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:37:29.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:37:29.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:37:29.270Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29319.701 ms) ====== [2026-02-11T16:37:29.271Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T16:37:29.271Z] GC before operation: completed in 213.549 ms, heap usage 204.065 MB -> 89.198 MB. [2026-02-11T16:37:33.579Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:37:39.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:37:43.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:37:47.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:37:49.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:37:52.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:37:55.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:37:58.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:37:58.175Z] 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. [2026-02-11T16:37:58.175Z] The best model improves the baseline by 14.52%. [2026-02-11T16:37:59.162Z] Top recommended movies for user id 72: [2026-02-11T16:37:59.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:37:59.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:37:59.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:37:59.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:37:59.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:37:59.162Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29184.784 ms) ====== [2026-02-11T16:37:59.162Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T16:37:59.162Z] GC before operation: completed in 274.175 ms, heap usage 178.534 MB -> 89.563 MB. [2026-02-11T16:38:03.555Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:38:07.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:38:12.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:38:16.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:38:18.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:38:21.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:38:24.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:38:26.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:38:26.573Z] 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. [2026-02-11T16:38:26.573Z] The best model improves the baseline by 14.52%. [2026-02-11T16:38:27.560Z] Top recommended movies for user id 72: [2026-02-11T16:38:27.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:38:27.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:38:27.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:38:27.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:38:27.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:38:27.560Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28067.279 ms) ====== [2026-02-11T16:38:27.560Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T16:38:27.560Z] GC before operation: completed in 331.354 ms, heap usage 619.695 MB -> 93.114 MB. [2026-02-11T16:38:31.804Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:38:36.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:38:40.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:38:43.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:38:46.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:38:48.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:38:51.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:38:54.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:38:54.106Z] 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. [2026-02-11T16:38:54.106Z] The best model improves the baseline by 14.52%. [2026-02-11T16:38:54.106Z] Top recommended movies for user id 72: [2026-02-11T16:38:54.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:38:54.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:38:54.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:38:54.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:38:54.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:38:54.106Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26808.476 ms) ====== [2026-02-11T16:38:54.106Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T16:38:55.078Z] GC before operation: completed in 261.263 ms, heap usage 192.301 MB -> 89.671 MB. [2026-02-11T16:38:59.311Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:39:02.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:39:06.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:39:09.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:39:12.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:39:14.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:39:17.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:39:20.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:39:20.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T16:39:20.982Z] The best model improves the baseline by 14.52%. [2026-02-11T16:39:20.982Z] Top recommended movies for user id 72: [2026-02-11T16:39:20.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:39:20.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:39:20.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:39:20.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:39:20.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:39:20.982Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26638.740 ms) ====== [2026-02-11T16:39:20.982Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T16:39:22.001Z] GC before operation: completed in 262.813 ms, heap usage 180.623 MB -> 89.676 MB. [2026-02-11T16:39:26.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:39:30.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:39:34.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:39:39.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:39:42.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:39:44.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:39:47.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:39:49.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:39:49.165Z] 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. [2026-02-11T16:39:49.165Z] The best model improves the baseline by 14.52%. [2026-02-11T16:39:50.157Z] Top recommended movies for user id 72: [2026-02-11T16:39:50.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:39:50.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:39:50.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:39:50.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:39:50.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:39:50.157Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28182.300 ms) ====== [2026-02-11T16:39:50.157Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T16:39:50.157Z] GC before operation: completed in 255.491 ms, heap usage 359.384 MB -> 90.173 MB. [2026-02-11T16:39:54.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:39:57.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:40:01.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:40:05.874Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:40:07.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:40:09.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:40:12.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:40:14.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:40:14.899Z] 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. [2026-02-11T16:40:14.899Z] The best model improves the baseline by 14.52%. [2026-02-11T16:40:15.875Z] Top recommended movies for user id 72: [2026-02-11T16:40:15.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:40:15.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:40:15.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:40:15.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:40:15.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:40:15.875Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25409.366 ms) ====== [2026-02-11T16:40:15.875Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T16:40:15.875Z] GC before operation: completed in 251.524 ms, heap usage 470.609 MB -> 90.186 MB. [2026-02-11T16:40:18.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:40:23.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:40:27.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:40:31.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:40:34.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:40:36.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:40:38.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:40:41.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:40:41.491Z] 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. [2026-02-11T16:40:41.491Z] The best model improves the baseline by 14.52%. [2026-02-11T16:40:41.491Z] Top recommended movies for user id 72: [2026-02-11T16:40:41.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:40:41.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:40:41.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:40:41.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:40:41.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:40:41.491Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25931.913 ms) ====== [2026-02-11T16:40:41.491Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T16:40:41.491Z] GC before operation: completed in 208.059 ms, heap usage 239.625 MB -> 90.014 MB. [2026-02-11T16:40:45.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:40:49.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:40:53.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:40:56.099Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:40:59.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:41:01.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:41:03.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:41:05.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:41:06.091Z] 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. [2026-02-11T16:41:06.091Z] The best model improves the baseline by 14.52%. [2026-02-11T16:41:06.091Z] Top recommended movies for user id 72: [2026-02-11T16:41:06.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:41:06.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:41:06.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:41:06.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:41:06.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:41:06.091Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24244.757 ms) ====== [2026-02-11T16:41:06.091Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T16:41:06.091Z] GC before operation: completed in 259.209 ms, heap usage 697.917 MB -> 93.628 MB. [2026-02-11T16:41:10.480Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:41:14.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:41:17.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:41:22.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:41:24.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:41:25.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:41:27.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:41:31.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:41:31.068Z] 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. [2026-02-11T16:41:31.068Z] The best model improves the baseline by 14.52%. [2026-02-11T16:41:31.068Z] Top recommended movies for user id 72: [2026-02-11T16:41:31.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:41:31.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:41:31.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:41:31.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:41:31.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:41:31.068Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24986.945 ms) ====== [2026-02-11T16:41:31.068Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T16:41:31.068Z] GC before operation: completed in 226.016 ms, heap usage 121.268 MB -> 89.943 MB. [2026-02-11T16:41:35.293Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:41:39.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:41:43.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:41:47.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:41:49.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:41:51.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:41:54.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:41:56.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:41:57.639Z] 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. [2026-02-11T16:41:57.639Z] The best model improves the baseline by 14.52%. [2026-02-11T16:41:57.639Z] Top recommended movies for user id 72: [2026-02-11T16:41:57.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:41:57.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:41:57.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:41:57.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:41:57.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:41:57.639Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26024.928 ms) ====== [2026-02-11T16:41:57.639Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T16:41:57.639Z] GC before operation: completed in 239.210 ms, heap usage 452.892 MB -> 90.464 MB. [2026-02-11T16:42:01.881Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:42:04.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:42:09.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:42:12.303Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:42:15.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:42:17.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:42:19.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:42:21.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:42:22.293Z] 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. [2026-02-11T16:42:22.293Z] The best model improves the baseline by 14.52%. [2026-02-11T16:42:22.293Z] Top recommended movies for user id 72: [2026-02-11T16:42:22.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:42:22.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:42:22.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:42:22.293Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:42:22.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:42:22.293Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24322.752 ms) ====== [2026-02-11T16:42:22.293Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T16:42:22.293Z] GC before operation: completed in 243.895 ms, heap usage 486.743 MB -> 90.373 MB. [2026-02-11T16:42:26.500Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:42:29.568Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:42:33.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:42:36.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:42:38.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:42:40.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:42:42.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:42:44.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:42:45.831Z] 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. [2026-02-11T16:42:45.831Z] The best model improves the baseline by 14.52%. [2026-02-11T16:42:45.831Z] Top recommended movies for user id 72: [2026-02-11T16:42:45.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:42:45.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:42:45.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:42:45.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:42:45.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:42:45.832Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23392.608 ms) ====== [2026-02-11T16:42:45.832Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T16:42:45.832Z] GC before operation: completed in 241.379 ms, heap usage 255.767 MB -> 90.218 MB. [2026-02-11T16:42:50.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:42:53.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:42:56.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:43:00.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:43:02.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:43:04.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:43:06.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:43:08.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:43:09.163Z] 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. [2026-02-11T16:43:09.163Z] The best model improves the baseline by 14.52%. [2026-02-11T16:43:09.163Z] Top recommended movies for user id 72: [2026-02-11T16:43:09.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:43:09.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:43:09.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:43:09.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:43:09.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:43:09.164Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23015.794 ms) ====== [2026-02-11T16:43:09.164Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T16:43:09.164Z] GC before operation: completed in 221.275 ms, heap usage 229.063 MB -> 90.062 MB. [2026-02-11T16:43:13.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:43:16.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:43:19.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:43:22.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:43:24.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:43:26.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:43:28.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:43:30.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:43:30.558Z] 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. [2026-02-11T16:43:30.558Z] The best model improves the baseline by 14.52%. [2026-02-11T16:43:30.558Z] Top recommended movies for user id 72: [2026-02-11T16:43:30.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:43:30.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:43:30.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:43:30.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:43:30.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:43:30.558Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21728.934 ms) ====== [2026-02-11T16:43:30.558Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T16:43:31.520Z] GC before operation: completed in 192.430 ms, heap usage 267.654 MB -> 90.209 MB. [2026-02-11T16:43:34.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:43:37.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:43:40.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:43:42.690Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:43:44.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:43:46.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:43:48.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:43:50.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:43:50.904Z] 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. [2026-02-11T16:43:50.904Z] The best model improves the baseline by 14.52%. [2026-02-11T16:43:50.904Z] Top recommended movies for user id 72: [2026-02-11T16:43:50.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:43:50.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:43:50.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:43:50.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:43:50.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:43:50.904Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19938.149 ms) ====== [2026-02-11T16:43:50.904Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T16:43:50.904Z] GC before operation: completed in 207.293 ms, heap usage 255.894 MB -> 90.032 MB. [2026-02-11T16:43:53.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:43:57.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:44:00.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:44:03.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:44:05.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:44:06.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:44:08.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:44:10.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:44:10.175Z] 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. [2026-02-11T16:44:10.175Z] The best model improves the baseline by 14.52%. [2026-02-11T16:44:10.175Z] Top recommended movies for user id 72: [2026-02-11T16:44:10.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:44:10.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:44:10.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:44:10.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:44:10.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:44:10.176Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19314.446 ms) ====== [2026-02-11T16:44:10.176Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T16:44:11.138Z] GC before operation: completed in 215.812 ms, heap usage 214.388 MB -> 90.040 MB. [2026-02-11T16:44:14.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T16:44:17.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T16:44:21.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T16:44:24.277Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T16:44:26.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T16:44:28.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T16:44:30.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T16:44:33.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T16:44:33.325Z] 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. [2026-02-11T16:44:33.325Z] The best model improves the baseline by 14.52%. [2026-02-11T16:44:33.325Z] Top recommended movies for user id 72: [2026-02-11T16:44:33.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T16:44:33.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T16:44:33.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T16:44:33.325Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T16:44:33.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T16:44:33.325Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22430.587 ms) ====== [2026-02-11T16:44:35.307Z] ----------------------------------- [2026-02-11T16:44:35.307Z] renaissance-movie-lens_0_PASSED [2026-02-11T16:44:35.307Z] ----------------------------------- [2026-02-11T16:44:35.307Z] [2026-02-11T16:44:35.307Z] TEST TEARDOWN: [2026-02-11T16:44:35.307Z] Nothing to be done for teardown. [2026-02-11T16:44:35.307Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 16:44:34 2026 Epoch Time (ms): 1770828274350