[2026-01-03T13:36:14.506Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:36:14.506Z] =============================================== [2026-01-03T13:36:14.506Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 13:36:13 2026 Epoch Time (ms): 1767447373512 [2026-01-03T13:36:14.506Z] variation: NoOptions [2026-01-03T13:36:14.506Z] JVM_OPTIONS: [2026-01-03T13:36:14.506Z] { \ [2026-01-03T13:36:14.506Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:36:14.506Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:36:14.506Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674459487498/renaissance-movie-lens_0"; \ [2026-01-03T13:36:14.506Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674459487498/renaissance-movie-lens_0"; \ [2026-01-03T13:36:14.506Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:36:14.507Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674459487498/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:36:14.507Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674459487498/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:36:14.507Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:36:14.507Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:36:14.507Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17674459487498/TestTargetResult"; [2026-01-03T13:36:14.507Z] [2026-01-03T13:36:14.507Z] TEST SETUP: [2026-01-03T13:36:14.507Z] Nothing to be done for setup. [2026-01-03T13:36:14.507Z] [2026-01-03T13:36:14.507Z] TESTING: [2026-01-03T13:36:14.507Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:36:14.507Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17674459487498/renaissance-movie-lens_0/launcher-133613-5991300846041989570/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:36:14.507Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:36:14.507Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:36:19.920Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T13:36:25.305Z] 13:36:25.056 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T13:36:27.270Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:36:28.235Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:36:28.235Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:36:28.235Z] GC before operation: completed in 133.193 ms, heap usage 205.453 MB -> 75.925 MB. [2026-01-03T13:36:33.629Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:36.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:39.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:41.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:36:43.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:36:45.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:46.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:48.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:48.512Z] 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. [2026-01-03T13:36:48.512Z] The best model improves the baseline by 14.52%. [2026-01-03T13:36:49.475Z] Top recommended movies for user id 72: [2026-01-03T13:36:49.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:36:49.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:36:49.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:36:49.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:36:49.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:36:49.475Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21036.436 ms) ====== [2026-01-03T13:36:49.475Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:36:49.475Z] GC before operation: completed in 131.653 ms, heap usage 139.438 MB -> 87.486 MB. [2026-01-03T13:36:52.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:54.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:57.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:59.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:01.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:02.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:04.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:05.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:06.005Z] 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. [2026-01-03T13:37:06.005Z] The best model improves the baseline by 14.52%. [2026-01-03T13:37:06.005Z] Top recommended movies for user id 72: [2026-01-03T13:37:06.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:37:06.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:37:06.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:37:06.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:37:06.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:37:06.005Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16645.443 ms) ====== [2026-01-03T13:37:06.005Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:37:06.005Z] GC before operation: completed in 117.955 ms, heap usage 471.493 MB -> 88.807 MB. [2026-01-03T13:37:07.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:10.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:12.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:16.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:17.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:19.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:20.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:22.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:22.293Z] 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. [2026-01-03T13:37:22.293Z] The best model improves the baseline by 14.52%. [2026-01-03T13:37:22.293Z] Top recommended movies for user id 72: [2026-01-03T13:37:22.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:37:22.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:37:22.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:37:22.293Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:37:22.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:37:22.293Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16337.518 ms) ====== [2026-01-03T13:37:22.293Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:37:22.293Z] GC before operation: completed in 160.474 ms, heap usage 174.417 MB -> 89.173 MB. [2026-01-03T13:37:25.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:27.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:29.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:31.696Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:32.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:35.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:36.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:37.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:37.751Z] 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. [2026-01-03T13:37:37.751Z] The best model improves the baseline by 14.52%. [2026-01-03T13:37:37.751Z] Top recommended movies for user id 72: [2026-01-03T13:37:37.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:37:37.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:37:37.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:37:37.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:37:37.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:37:37.751Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15534.966 ms) ====== [2026-01-03T13:37:37.751Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:37:37.751Z] GC before operation: completed in 148.453 ms, heap usage 119.112 MB -> 89.327 MB. [2026-01-03T13:37:41.057Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:43.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:46.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:47.756Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:49.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:50.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:52.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:53.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:53.727Z] 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. [2026-01-03T13:37:53.727Z] The best model improves the baseline by 14.52%. [2026-01-03T13:37:54.683Z] Top recommended movies for user id 72: [2026-01-03T13:37:54.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:37:54.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:37:54.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:37:54.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:37:54.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:37:54.683Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16117.157 ms) ====== [2026-01-03T13:37:54.683Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:37:54.683Z] GC before operation: completed in 144.506 ms, heap usage 385.202 MB -> 89.671 MB. [2026-01-03T13:37:56.638Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:58.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:01.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:03.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:04.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:06.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:07.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:09.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:09.428Z] 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. [2026-01-03T13:38:09.428Z] The best model improves the baseline by 14.52%. [2026-01-03T13:38:09.428Z] Top recommended movies for user id 72: [2026-01-03T13:38:09.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:38:09.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:38:09.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:38:09.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:38:09.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:38:09.428Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15245.159 ms) ====== [2026-01-03T13:38:09.428Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:38:09.428Z] GC before operation: completed in 145.623 ms, heap usage 382.702 MB -> 89.924 MB. [2026-01-03T13:38:12.456Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:14.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:16.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:18.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:20.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:21.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:23.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:24.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:24.157Z] 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. [2026-01-03T13:38:24.157Z] The best model improves the baseline by 14.52%. [2026-01-03T13:38:24.157Z] Top recommended movies for user id 72: [2026-01-03T13:38:24.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:38:24.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:38:24.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:38:24.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:38:24.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:38:24.157Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14745.349 ms) ====== [2026-01-03T13:38:24.157Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:38:25.112Z] GC before operation: completed in 155.729 ms, heap usage 428.955 MB -> 90.005 MB. [2026-01-03T13:38:27.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:29.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:32.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:34.026Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:35.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:36.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:37.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:39.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:39.864Z] 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. [2026-01-03T13:38:39.864Z] The best model improves the baseline by 14.52%. [2026-01-03T13:38:39.864Z] Top recommended movies for user id 72: [2026-01-03T13:38:39.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:38:39.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:38:39.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:38:39.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:38:39.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:38:39.864Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15472.808 ms) ====== [2026-01-03T13:38:39.864Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:38:40.837Z] GC before operation: completed in 153.731 ms, heap usage 397.933 MB -> 90.126 MB. [2026-01-03T13:38:42.630Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:45.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:47.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:49.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:50.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:52.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:53.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:55.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:55.391Z] 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. [2026-01-03T13:38:55.391Z] The best model improves the baseline by 14.52%. [2026-01-03T13:38:55.391Z] Top recommended movies for user id 72: [2026-01-03T13:38:55.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:38:55.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:38:55.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:38:55.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:38:55.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:38:55.391Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15024.766 ms) ====== [2026-01-03T13:38:55.391Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:38:55.391Z] GC before operation: completed in 145.572 ms, heap usage 342.181 MB -> 89.884 MB. [2026-01-03T13:38:57.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:39:00.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:39:02.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:39:04.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:39:05.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:39:07.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:39:08.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:39:10.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:39:10.131Z] 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. [2026-01-03T13:39:10.131Z] The best model improves the baseline by 14.52%. [2026-01-03T13:39:10.131Z] Top recommended movies for user id 72: [2026-01-03T13:39:10.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:39:10.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:39:10.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:39:10.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:39:10.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:39:10.131Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14764.639 ms) ====== [2026-01-03T13:39:10.131Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:39:10.131Z] GC before operation: completed in 147.505 ms, heap usage 374.519 MB -> 90.252 MB. [2026-01-03T13:39:13.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:39:15.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:39:17.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:39:19.017Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:39:20.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:39:21.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:39:23.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:39:24.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:39:25.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:39:25.784Z] The best model improves the baseline by 14.52%. [2026-01-03T13:39:25.784Z] Top recommended movies for user id 72: [2026-01-03T13:39:25.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:39:25.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:39:25.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:39:25.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:39:25.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:39:25.784Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15134.472 ms) ====== [2026-01-03T13:39:25.784Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:39:25.784Z] GC before operation: completed in 134.577 ms, heap usage 387.163 MB -> 89.935 MB. [2026-01-03T13:39:27.767Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:39:29.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:39:32.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:39:34.873Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:39:36.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:39:37.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:39:38.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:39:40.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:39:40.482Z] 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. [2026-01-03T13:39:40.482Z] The best model improves the baseline by 14.52%. [2026-01-03T13:39:40.482Z] Top recommended movies for user id 72: [2026-01-03T13:39:40.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:39:40.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:39:40.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:39:40.482Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:39:40.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:39:40.482Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14782.329 ms) ====== [2026-01-03T13:39:40.482Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:39:40.482Z] GC before operation: completed in 150.149 ms, heap usage 263.192 MB -> 90.067 MB. [2026-01-03T13:39:42.435Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:39:45.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:39:47.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:39:49.355Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:39:50.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:39:52.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:39:53.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:39:55.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:39:55.181Z] 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. [2026-01-03T13:39:55.181Z] The best model improves the baseline by 14.52%. [2026-01-03T13:39:55.181Z] Top recommended movies for user id 72: [2026-01-03T13:39:55.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:39:55.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:39:55.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:39:55.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:39:55.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:39:55.181Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14776.219 ms) ====== [2026-01-03T13:39:55.181Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:39:55.181Z] GC before operation: completed in 155.213 ms, heap usage 421.244 MB -> 90.263 MB. [2026-01-03T13:39:58.203Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:40:00.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:40:02.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:40:04.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:40:06.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:40:07.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:40:08.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:40:09.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:40:09.953Z] 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. [2026-01-03T13:40:09.953Z] The best model improves the baseline by 14.52%. [2026-01-03T13:40:09.953Z] Top recommended movies for user id 72: [2026-01-03T13:40:09.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:40:09.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:40:09.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:40:09.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:40:09.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:40:09.953Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14761.829 ms) ====== [2026-01-03T13:40:09.953Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:40:10.912Z] GC before operation: completed in 119.940 ms, heap usage 398.545 MB -> 90.173 MB. [2026-01-03T13:40:12.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:40:14.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:40:16.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:40:18.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:40:19.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:40:21.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:40:22.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:40:23.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:40:23.599Z] 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. [2026-01-03T13:40:23.599Z] The best model improves the baseline by 14.52%. [2026-01-03T13:40:24.552Z] Top recommended movies for user id 72: [2026-01-03T13:40:24.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:40:24.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:40:24.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:40:24.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:40:24.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:40:24.552Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13614.936 ms) ====== [2026-01-03T13:40:24.552Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:40:24.552Z] GC before operation: completed in 162.923 ms, heap usage 554.531 MB -> 93.847 MB. [2026-01-03T13:40:26.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:40:28.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:40:30.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:40:33.720Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:40:33.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:40:34.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:40:35.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:40:36.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:40:37.542Z] 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. [2026-01-03T13:40:37.542Z] The best model improves the baseline by 14.52%. [2026-01-03T13:40:37.542Z] Top recommended movies for user id 72: [2026-01-03T13:40:37.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:40:37.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:40:37.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:40:37.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:40:37.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:40:37.542Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13104.777 ms) ====== [2026-01-03T13:40:37.542Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:40:37.542Z] GC before operation: completed in 131.418 ms, heap usage 514.126 MB -> 90.396 MB. [2026-01-03T13:40:39.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:40:41.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:40:43.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:40:45.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:40:46.322Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:40:47.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:40:49.228Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:40:50.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:40:51.130Z] 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. [2026-01-03T13:40:51.130Z] The best model improves the baseline by 14.52%. [2026-01-03T13:40:51.130Z] Top recommended movies for user id 72: [2026-01-03T13:40:51.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:40:51.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:40:51.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:40:51.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:40:51.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:40:51.130Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13401.590 ms) ====== [2026-01-03T13:40:51.130Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:40:51.130Z] GC before operation: completed in 167.862 ms, heap usage 153.785 MB -> 89.936 MB. [2026-01-03T13:40:53.087Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:40:56.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:40:58.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:41:00.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:41:01.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:41:02.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:41:03.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:41:05.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:41:05.907Z] 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. [2026-01-03T13:41:05.907Z] The best model improves the baseline by 14.52%. [2026-01-03T13:41:05.907Z] Top recommended movies for user id 72: [2026-01-03T13:41:05.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:41:05.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:41:05.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:41:05.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:41:05.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:41:05.907Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15096.506 ms) ====== [2026-01-03T13:41:05.907Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:41:05.907Z] GC before operation: completed in 127.711 ms, heap usage 103.181 MB -> 89.642 MB. [2026-01-03T13:41:08.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:41:10.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:41:12.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:41:14.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:41:16.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:41:17.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:41:18.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:41:20.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:41:20.619Z] 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. [2026-01-03T13:41:20.619Z] The best model improves the baseline by 14.52%. [2026-01-03T13:41:20.619Z] Top recommended movies for user id 72: [2026-01-03T13:41:20.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:41:20.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:41:20.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:41:20.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:41:20.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:41:20.619Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14385.917 ms) ====== [2026-01-03T13:41:20.619Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:41:20.619Z] GC before operation: completed in 122.439 ms, heap usage 122.126 MB -> 89.959 MB. [2026-01-03T13:41:22.571Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:41:25.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:41:27.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:41:30.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:41:30.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:41:31.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:41:32.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:41:34.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:41:34.603Z] 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. [2026-01-03T13:41:34.603Z] The best model improves the baseline by 14.52%. [2026-01-03T13:41:34.603Z] Top recommended movies for user id 72: [2026-01-03T13:41:34.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:41:34.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:41:34.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:41:34.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:41:34.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:41:34.603Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13919.709 ms) ====== [2026-01-03T13:41:35.580Z] ----------------------------------- [2026-01-03T13:41:35.580Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:41:35.580Z] ----------------------------------- [2026-01-03T13:41:35.580Z] [2026-01-03T13:41:35.580Z] TEST TEARDOWN: [2026-01-03T13:41:35.580Z] Nothing to be done for teardown. [2026-01-03T13:41:35.580Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 13:41:34 2026 Epoch Time (ms): 1767447694702