[2026-02-14T00:23:14.558Z] Running test renaissance-movie-lens_0 ... [2026-02-14T00:23:14.558Z] =============================================== [2026-02-14T00:23:14.558Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 00:23:12 2026 Epoch Time (ms): 1771028592185 [2026-02-14T00:23:14.558Z] variation: NoOptions [2026-02-14T00:23:14.558Z] JVM_OPTIONS: [2026-02-14T00:23:14.558Z] { \ [2026-02-14T00:23:14.558Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T00:23:14.558Z] echo "Nothing to be done for setup."; \ [2026-02-14T00:23:14.558Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17710280208342/renaissance-movie-lens_0"; \ [2026-02-14T00:23:14.558Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17710280208342/renaissance-movie-lens_0"; \ [2026-02-14T00:23:14.558Z] echo ""; echo "TESTING:"; \ [2026-02-14T00:23:14.558Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17710280208342/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T00:23:14.558Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17710280208342/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T00:23:14.558Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T00:23:14.558Z] echo "Nothing to be done for teardown."; \ [2026-02-14T00:23:14.558Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17710280208342/TestTargetResult"; [2026-02-14T00:23:14.558Z] [2026-02-14T00:23:14.558Z] TEST SETUP: [2026-02-14T00:23:14.558Z] Nothing to be done for setup. [2026-02-14T00:23:14.558Z] [2026-02-14T00:23:14.558Z] TESTING: [2026-02-14T00:23:37.389Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T00:24:10.521Z] 00:24:06.933 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T00:24:21.187Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T00:24:24.075Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T00:24:24.075Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T00:24:24.751Z] GC before operation: completed in 553.758 ms, heap usage 384.791 MB -> 77.130 MB. [2026-02-14T00:25:04.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:25:20.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:25:35.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:25:51.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:25:58.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:26:07.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:26:16.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:26:23.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:26:25.342Z] 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. [2026-02-14T00:26:25.657Z] The best model improves the baseline by 14.52%. [2026-02-14T00:26:26.781Z] Top recommended movies for user id 72: [2026-02-14T00:26:26.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:26:26.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:26:26.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:26:26.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:26:26.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:26:26.781Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (121871.154 ms) ====== [2026-02-14T00:26:26.781Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T00:26:27.498Z] GC before operation: completed in 927.467 ms, heap usage 395.376 MB -> 95.505 MB. [2026-02-14T00:26:43.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:26:56.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:27:04.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:27:15.643Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:27:21.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:27:27.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:27:34.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:27:39.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:27:41.169Z] 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. [2026-02-14T00:27:41.169Z] The best model improves the baseline by 14.52%. [2026-02-14T00:27:41.849Z] Top recommended movies for user id 72: [2026-02-14T00:27:41.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:27:41.849Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:27:41.849Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:27:41.849Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:27:41.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:27:41.849Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74181.681 ms) ====== [2026-02-14T00:27:41.849Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T00:27:42.544Z] GC before operation: completed in 919.805 ms, heap usage 512.494 MB -> 92.759 MB. [2026-02-14T00:27:53.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:28:03.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:28:12.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:28:23.291Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:28:27.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:28:35.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:28:39.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:28:45.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:28:46.868Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T00:28:46.868Z] The best model improves the baseline by 14.52%. [2026-02-14T00:28:47.548Z] Top recommended movies for user id 72: [2026-02-14T00:28:47.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:28:47.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:28:47.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:28:47.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:28:47.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:28:47.548Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64910.344 ms) ====== [2026-02-14T00:28:47.549Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T00:28:48.694Z] GC before operation: completed in 982.220 ms, heap usage 808.251 MB -> 94.630 MB. [2026-02-14T00:28:59.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:29:06.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:29:15.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:29:23.979Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:29:29.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:29:34.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:29:40.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:29:44.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:29:46.036Z] 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. [2026-02-14T00:29:46.036Z] The best model improves the baseline by 14.52%. [2026-02-14T00:29:47.158Z] Top recommended movies for user id 72: [2026-02-14T00:29:47.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:29:47.158Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:29:47.158Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:29:47.158Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:29:47.158Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:29:47.158Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58364.045 ms) ====== [2026-02-14T00:29:47.158Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T00:29:47.863Z] GC before operation: completed in 897.860 ms, heap usage 511.085 MB -> 91.339 MB. [2026-02-14T00:29:56.627Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:30:09.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:30:20.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:30:30.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:30:36.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:30:42.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:30:49.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:30:54.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:30:55.708Z] 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. [2026-02-14T00:30:55.708Z] The best model improves the baseline by 14.52%. [2026-02-14T00:30:56.389Z] Top recommended movies for user id 72: [2026-02-14T00:30:56.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:30:56.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:30:56.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:30:56.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:30:56.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:30:56.389Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (68711.162 ms) ====== [2026-02-14T00:30:56.389Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T00:30:57.531Z] GC before operation: completed in 948.163 ms, heap usage 335.611 MB -> 92.774 MB. [2026-02-14T00:31:08.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:31:18.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:31:31.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:31:40.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:31:46.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:31:50.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:31:56.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:32:02.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:32:02.871Z] 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. [2026-02-14T00:32:02.871Z] The best model improves the baseline by 14.52%. [2026-02-14T00:32:03.572Z] Top recommended movies for user id 72: [2026-02-14T00:32:03.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:32:03.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:32:03.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:32:03.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:32:03.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:32:03.572Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (66184.634 ms) ====== [2026-02-14T00:32:03.572Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T00:32:04.707Z] GC before operation: completed in 992.600 ms, heap usage 993.375 MB -> 95.948 MB. [2026-02-14T00:32:15.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:32:24.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:32:32.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:32:41.683Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:32:47.506Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:32:53.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:32:59.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:33:04.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:33:05.581Z] 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. [2026-02-14T00:33:05.581Z] The best model improves the baseline by 14.52%. [2026-02-14T00:33:06.263Z] Top recommended movies for user id 72: [2026-02-14T00:33:06.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:33:06.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:33:06.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:33:06.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:33:06.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:33:06.263Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (61720.996 ms) ====== [2026-02-14T00:33:06.263Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T00:33:07.407Z] GC before operation: completed in 976.118 ms, heap usage 757.162 MB -> 95.104 MB. [2026-02-14T00:33:20.449Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:33:29.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:33:39.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:33:48.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:33:53.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:33:59.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:34:03.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:34:09.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:34:10.215Z] 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. [2026-02-14T00:34:10.215Z] The best model improves the baseline by 14.52%. [2026-02-14T00:34:10.895Z] Top recommended movies for user id 72: [2026-02-14T00:34:10.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:34:10.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:34:10.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:34:10.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:34:10.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:34:10.895Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (63490.803 ms) ====== [2026-02-14T00:34:10.895Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T00:34:12.035Z] GC before operation: completed in 999.201 ms, heap usage 657.709 MB -> 95.264 MB. [2026-02-14T00:34:22.860Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:34:31.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:34:38.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:34:45.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:34:51.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:34:56.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:35:00.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:35:06.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:35:06.765Z] 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. [2026-02-14T00:35:06.765Z] The best model improves the baseline by 14.52%. [2026-02-14T00:35:07.452Z] Top recommended movies for user id 72: [2026-02-14T00:35:07.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:35:07.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:35:07.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:35:07.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:35:07.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:35:07.452Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55740.804 ms) ====== [2026-02-14T00:35:07.452Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T00:35:08.647Z] GC before operation: completed in 986.446 ms, heap usage 1.298 GB -> 97.045 MB. [2026-02-14T00:35:19.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:35:26.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:35:35.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:35:42.395Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:35:47.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:35:51.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:35:56.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:36:02.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:36:02.107Z] 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. [2026-02-14T00:36:02.424Z] The best model improves the baseline by 14.52%. [2026-02-14T00:36:03.104Z] Top recommended movies for user id 72: [2026-02-14T00:36:03.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:36:03.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:36:03.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:36:03.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:36:03.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:36:03.104Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54505.108 ms) ====== [2026-02-14T00:36:03.104Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T00:36:04.256Z] GC before operation: completed in 974.115 ms, heap usage 240.906 MB -> 91.418 MB. [2026-02-14T00:36:13.064Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:36:21.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:36:28.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:36:36.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:36:42.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:36:46.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:36:51.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:36:57.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:36:57.512Z] 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. [2026-02-14T00:36:57.512Z] The best model improves the baseline by 14.52%. [2026-02-14T00:36:58.191Z] Top recommended movies for user id 72: [2026-02-14T00:36:58.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:36:58.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:36:58.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:36:58.191Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:36:58.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:36:58.191Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54217.986 ms) ====== [2026-02-14T00:36:58.191Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T00:36:59.339Z] GC before operation: completed in 964.018 ms, heap usage 302.612 MB -> 91.384 MB. [2026-02-14T00:37:08.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:37:16.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:37:25.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:37:34.344Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:37:40.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:37:44.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:37:50.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:37:55.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:37:56.226Z] 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. [2026-02-14T00:37:56.550Z] The best model improves the baseline by 14.52%. [2026-02-14T00:37:57.689Z] Top recommended movies for user id 72: [2026-02-14T00:37:57.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:37:57.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:37:57.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:37:57.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:37:57.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:37:57.689Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (58240.952 ms) ====== [2026-02-14T00:37:57.689Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T00:37:58.388Z] GC before operation: completed in 967.414 ms, heap usage 479.000 MB -> 92.891 MB. [2026-02-14T00:38:09.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:38:19.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:38:28.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:38:37.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:38:41.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:38:47.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:38:52.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:38:57.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:38:58.270Z] 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. [2026-02-14T00:38:58.587Z] The best model improves the baseline by 14.52%. [2026-02-14T00:38:59.282Z] Top recommended movies for user id 72: [2026-02-14T00:38:59.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:38:59.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:38:59.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:38:59.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:38:59.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:38:59.282Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60663.307 ms) ====== [2026-02-14T00:38:59.282Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T00:38:59.991Z] GC before operation: completed in 979.040 ms, heap usage 383.480 MB -> 95.506 MB. [2026-02-14T00:39:08.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:39:17.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:39:26.224Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:39:33.366Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:39:38.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:39:42.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:39:48.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:39:53.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:39:53.433Z] 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. [2026-02-14T00:39:53.749Z] The best model improves the baseline by 14.52%. [2026-02-14T00:39:54.433Z] Top recommended movies for user id 72: [2026-02-14T00:39:54.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:39:54.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:39:54.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:39:54.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:39:54.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:39:54.433Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54170.863 ms) ====== [2026-02-14T00:39:54.433Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T00:39:55.128Z] GC before operation: completed in 1015.511 ms, heap usage 961.582 MB -> 96.056 MB. [2026-02-14T00:40:03.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:40:12.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:40:19.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:40:28.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:40:34.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:40:40.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:40:44.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:40:50.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:40:51.218Z] 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. [2026-02-14T00:40:51.218Z] The best model improves the baseline by 14.52%. [2026-02-14T00:40:51.906Z] Top recommended movies for user id 72: [2026-02-14T00:40:51.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:40:51.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:40:51.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:40:51.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:40:51.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:40:51.906Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56660.720 ms) ====== [2026-02-14T00:40:51.906Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T00:40:53.155Z] GC before operation: completed in 1039.796 ms, heap usage 118.550 MB -> 93.083 MB. [2026-02-14T00:41:03.836Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:41:14.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:41:25.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:41:35.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:41:40.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:41:45.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:41:50.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:41:55.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:41:55.897Z] 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. [2026-02-14T00:41:55.897Z] The best model improves the baseline by 14.52%. [2026-02-14T00:41:56.575Z] Top recommended movies for user id 72: [2026-02-14T00:41:56.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:41:56.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:41:56.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:41:56.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:41:56.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:41:56.575Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (63705.164 ms) ====== [2026-02-14T00:41:56.575Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T00:41:57.719Z] GC before operation: completed in 1011.085 ms, heap usage 1.119 GB -> 96.701 MB. [2026-02-14T00:42:08.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:42:17.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:42:24.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:42:33.142Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:42:36.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:42:41.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:42:47.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:42:51.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:42:52.231Z] 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. [2026-02-14T00:42:52.545Z] The best model improves the baseline by 14.52%. [2026-02-14T00:42:53.225Z] Top recommended movies for user id 72: [2026-02-14T00:42:53.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:42:53.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:42:53.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:42:53.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:42:53.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:42:53.225Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (55364.058 ms) ====== [2026-02-14T00:42:53.225Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T00:42:53.911Z] GC before operation: completed in 971.866 ms, heap usage 780.044 MB -> 95.411 MB. [2026-02-14T00:43:04.642Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:43:11.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:43:19.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:43:28.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:43:31.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:43:37.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:43:42.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:43:46.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:43:47.484Z] 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. [2026-02-14T00:43:47.484Z] The best model improves the baseline by 14.52%. [2026-02-14T00:43:48.165Z] Top recommended movies for user id 72: [2026-02-14T00:43:48.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:43:48.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:43:48.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:43:48.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:43:48.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:43:48.165Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54057.061 ms) ====== [2026-02-14T00:43:48.165Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T00:43:49.280Z] GC before operation: completed in 965.145 ms, heap usage 465.577 MB -> 91.722 MB. [2026-02-14T00:43:58.056Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:44:05.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:44:13.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:44:21.222Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:44:25.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:44:31.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:44:36.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:44:40.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:44:42.052Z] 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. [2026-02-14T00:44:42.052Z] The best model improves the baseline by 14.52%. [2026-02-14T00:44:42.732Z] Top recommended movies for user id 72: [2026-02-14T00:44:42.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:44:42.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:44:42.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:44:42.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:44:42.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:44:42.732Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53653.429 ms) ====== [2026-02-14T00:44:42.732Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T00:44:43.924Z] GC before operation: completed in 966.638 ms, heap usage 766.668 MB -> 95.403 MB. [2026-02-14T00:44:52.702Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:45:03.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:45:12.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:45:20.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:45:25.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:45:31.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:45:37.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:45:41.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:45:42.592Z] 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. [2026-02-14T00:45:42.593Z] The best model improves the baseline by 14.52%. [2026-02-14T00:45:43.274Z] Top recommended movies for user id 72: [2026-02-14T00:45:43.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:45:43.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:45:43.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:45:43.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:45:43.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:45:43.274Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (59702.514 ms) ====== [2026-02-14T00:45:46.177Z] ----------------------------------- [2026-02-14T00:45:46.177Z] renaissance-movie-lens_0_PASSED [2026-02-14T00:45:46.177Z] ----------------------------------- [2026-02-14T00:45:46.871Z] [2026-02-14T00:45:46.871Z] TEST TEARDOWN: [2026-02-14T00:45:46.871Z] Nothing to be done for teardown. [2026-02-14T00:45:46.871Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 00:45:46 2026 Epoch Time (ms): 1771029946554