[2025-12-20T19:52:10.395Z] Running test renaissance-movie-lens_0 ... [2025-12-20T19:52:10.395Z] =============================================== [2025-12-20T19:52:10.395Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 19:52:10 2025 Epoch Time (ms): 1766260330260 [2025-12-20T19:52:10.395Z] variation: NoOptions [2025-12-20T19:52:10.395Z] JVM_OPTIONS: [2025-12-20T19:52:10.395Z] { \ [2025-12-20T19:52:10.395Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T19:52:10.395Z] echo "Nothing to be done for setup."; \ [2025-12-20T19:52:10.395Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17662553176067/renaissance-movie-lens_0"; \ [2025-12-20T19:52:10.395Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17662553176067/renaissance-movie-lens_0"; \ [2025-12-20T19:52:10.395Z] echo ""; echo "TESTING:"; \ [2025-12-20T19:52:10.395Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17662553176067/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T19:52:10.395Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17662553176067/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T19:52:10.395Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T19:52:10.395Z] echo "Nothing to be done for teardown."; \ [2025-12-20T19:52:10.395Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17662553176067/TestTargetResult"; [2025-12-20T19:52:10.395Z] [2025-12-20T19:52:10.395Z] TEST SETUP: [2025-12-20T19:52:10.395Z] Nothing to be done for setup. [2025-12-20T19:52:10.395Z] [2025-12-20T19:52:10.395Z] TESTING: [2025-12-20T19:52:13.324Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T19:52:13.324Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17662553176067/renaissance-movie-lens_0/launcher-195210-12424232087388410135/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T19:52:13.324Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T19:52:13.324Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T19:52:36.329Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T19:53:09.598Z] 19:53:04.636 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T19:53:15.486Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T19:53:17.141Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T19:53:17.141Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T19:53:17.860Z] GC before operation: completed in 537.455 ms, heap usage 308.566 MB -> 75.949 MB. [2025-12-20T19:53:45.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:53:56.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:54:09.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:54:20.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:54:26.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:54:33.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:54:39.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:54:45.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:54:46.037Z] 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. [2025-12-20T19:54:46.375Z] The best model improves the baseline by 14.52%. [2025-12-20T19:54:47.074Z] Top recommended movies for user id 72: [2025-12-20T19:54:47.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:54:47.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:54:47.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:54:47.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:54:47.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:54:47.074Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (89428.453 ms) ====== [2025-12-20T19:54:47.074Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T19:54:48.251Z] GC before operation: completed in 1046.024 ms, heap usage 645.202 MB -> 90.725 MB. [2025-12-20T19:54:59.146Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:55:09.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:55:18.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:55:29.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:55:34.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:55:40.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:55:46.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:55:52.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:55:52.421Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T19:55:52.758Z] The best model improves the baseline by 14.52%. [2025-12-20T19:55:53.458Z] Top recommended movies for user id 72: [2025-12-20T19:55:53.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:55:53.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:55:53.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:55:53.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:55:53.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:55:53.458Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65262.498 ms) ====== [2025-12-20T19:55:53.458Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T19:55:54.614Z] GC before operation: completed in 818.546 ms, heap usage 380.022 MB -> 89.008 MB. [2025-12-20T19:56:05.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:56:14.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:56:25.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:56:34.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:56:38.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:56:44.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:56:50.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:56:56.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:56:56.443Z] 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. [2025-12-20T19:56:56.443Z] The best model improves the baseline by 14.52%. [2025-12-20T19:56:57.144Z] Top recommended movies for user id 72: [2025-12-20T19:56:57.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:56:57.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:56:57.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:56:57.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:56:57.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:56:57.144Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62831.627 ms) ====== [2025-12-20T19:56:57.144Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T19:56:58.303Z] GC before operation: completed in 889.763 ms, heap usage 420.366 MB -> 89.717 MB. [2025-12-20T19:57:07.320Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:57:16.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:57:25.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:57:33.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:57:38.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:57:45.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:57:50.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:57:55.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:57:55.966Z] 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. [2025-12-20T19:57:55.966Z] The best model improves the baseline by 14.52%. [2025-12-20T19:57:57.100Z] Top recommended movies for user id 72: [2025-12-20T19:57:57.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:57:57.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:57:57.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:57:57.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:57:57.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:57:57.100Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58898.816 ms) ====== [2025-12-20T19:57:57.100Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T19:57:57.814Z] GC before operation: completed in 850.477 ms, heap usage 236.352 MB -> 89.767 MB. [2025-12-20T19:58:06.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:58:15.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:58:24.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:58:33.394Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:58:39.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:58:44.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:58:49.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:58:54.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:58:55.315Z] 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. [2025-12-20T19:58:55.315Z] The best model improves the baseline by 14.52%. [2025-12-20T19:58:56.020Z] Top recommended movies for user id 72: [2025-12-20T19:58:56.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:58:56.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:58:56.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:58:56.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:58:56.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:58:56.020Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58073.074 ms) ====== [2025-12-20T19:58:56.020Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T19:58:56.744Z] GC before operation: completed in 872.800 ms, heap usage 267.921 MB -> 89.809 MB. [2025-12-20T19:59:07.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T19:59:14.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T19:59:22.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T19:59:29.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T19:59:34.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T19:59:39.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T19:59:43.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T19:59:48.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T19:59:49.282Z] 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. [2025-12-20T19:59:49.282Z] The best model improves the baseline by 14.52%. [2025-12-20T19:59:49.988Z] Top recommended movies for user id 72: [2025-12-20T19:59:49.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T19:59:49.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T19:59:49.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T19:59:49.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T19:59:49.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T19:59:49.988Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53154.882 ms) ====== [2025-12-20T19:59:49.988Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T19:59:51.139Z] GC before operation: completed in 1000.262 ms, heap usage 295.812 MB -> 90.235 MB. [2025-12-20T20:00:00.019Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:00:07.260Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:00:14.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:00:23.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:00:27.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:00:31.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:00:37.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:00:42.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:00:43.274Z] 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. [2025-12-20T20:00:43.274Z] The best model improves the baseline by 14.52%. [2025-12-20T20:00:43.974Z] Top recommended movies for user id 72: [2025-12-20T20:00:43.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:00:43.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:00:43.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:00:43.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:00:43.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:00:43.974Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53008.583 ms) ====== [2025-12-20T20:00:43.974Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T20:00:44.691Z] GC before operation: completed in 867.259 ms, heap usage 386.828 MB -> 90.299 MB. [2025-12-20T20:00:53.600Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:01:02.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:01:11.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:01:18.618Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:01:23.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:01:28.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:01:34.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:01:37.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:01:38.893Z] 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. [2025-12-20T20:01:39.227Z] The best model improves the baseline by 14.52%. [2025-12-20T20:01:39.952Z] Top recommended movies for user id 72: [2025-12-20T20:01:39.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:01:39.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:01:39.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:01:39.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:01:39.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:01:39.952Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54918.476 ms) ====== [2025-12-20T20:01:39.952Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T20:01:40.677Z] GC before operation: completed in 914.581 ms, heap usage 210.029 MB -> 90.246 MB. [2025-12-20T20:01:49.519Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:01:58.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:02:05.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:02:12.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:02:18.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:02:23.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:02:28.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:02:32.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:02:33.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T20:02:33.984Z] The best model improves the baseline by 14.52%. [2025-12-20T20:02:34.696Z] Top recommended movies for user id 72: [2025-12-20T20:02:34.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:02:34.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:02:34.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:02:34.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:02:34.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:02:34.696Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53883.364 ms) ====== [2025-12-20T20:02:34.696Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T20:02:35.411Z] GC before operation: completed in 854.115 ms, heap usage 387.760 MB -> 90.460 MB. [2025-12-20T20:02:44.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:02:51.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:02:58.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:03:06.015Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:03:10.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:03:15.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:03:20.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:03:25.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:03:25.739Z] 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. [2025-12-20T20:03:25.739Z] The best model improves the baseline by 14.52%. [2025-12-20T20:03:26.450Z] Top recommended movies for user id 72: [2025-12-20T20:03:26.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:03:26.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:03:26.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:03:26.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:03:26.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:03:26.450Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50840.409 ms) ====== [2025-12-20T20:03:26.450Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T20:03:27.170Z] GC before operation: completed in 900.880 ms, heap usage 898.001 MB -> 94.623 MB. [2025-12-20T20:03:36.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:03:43.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:03:52.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:03:59.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:04:04.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:04:08.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:04:14.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:04:19.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:04:20.699Z] 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. [2025-12-20T20:04:20.699Z] The best model improves the baseline by 14.52%. [2025-12-20T20:04:21.415Z] Top recommended movies for user id 72: [2025-12-20T20:04:21.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:04:21.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:04:21.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:04:21.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:04:21.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:04:21.415Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54102.494 ms) ====== [2025-12-20T20:04:21.415Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T20:04:22.142Z] GC before operation: completed in 871.316 ms, heap usage 383.636 MB -> 90.321 MB. [2025-12-20T20:04:31.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:04:38.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:04:47.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:04:54.483Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:05:00.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:05:05.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:05:09.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:05:14.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:05:15.288Z] 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. [2025-12-20T20:05:15.288Z] The best model improves the baseline by 14.52%. [2025-12-20T20:05:16.007Z] Top recommended movies for user id 72: [2025-12-20T20:05:16.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:05:16.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:05:16.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:05:16.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:05:16.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:05:16.007Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (53790.961 ms) ====== [2025-12-20T20:05:16.007Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T20:05:16.731Z] GC before operation: completed in 869.654 ms, heap usage 125.956 MB -> 90.204 MB. [2025-12-20T20:05:25.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:05:34.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:05:41.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:05:50.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:05:54.350Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:06:00.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:06:04.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:06:10.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:06:10.844Z] 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. [2025-12-20T20:06:10.844Z] The best model improves the baseline by 14.52%. [2025-12-20T20:06:12.057Z] Top recommended movies for user id 72: [2025-12-20T20:06:12.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:06:12.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:06:12.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:06:12.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:06:12.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:06:12.057Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54983.119 ms) ====== [2025-12-20T20:06:12.057Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T20:06:12.774Z] GC before operation: completed in 859.606 ms, heap usage 213.849 MB -> 90.476 MB. [2025-12-20T20:06:21.648Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:06:28.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:06:36.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:06:43.355Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:06:48.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:06:51.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:06:56.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:07:01.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:07:01.667Z] 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. [2025-12-20T20:07:01.994Z] The best model improves the baseline by 14.52%. [2025-12-20T20:07:02.695Z] Top recommended movies for user id 72: [2025-12-20T20:07:02.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:07:02.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:07:02.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:07:02.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:07:02.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:07:02.695Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49878.978 ms) ====== [2025-12-20T20:07:02.695Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T20:07:03.411Z] GC before operation: completed in 922.534 ms, heap usage 275.727 MB -> 90.338 MB. [2025-12-20T20:07:12.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:07:19.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:07:26.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:07:33.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:07:38.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:07:43.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:07:48.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:07:51.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:07:53.116Z] 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. [2025-12-20T20:07:53.116Z] The best model improves the baseline by 14.52%. [2025-12-20T20:07:53.832Z] Top recommended movies for user id 72: [2025-12-20T20:07:53.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:07:53.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:07:53.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:07:53.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:07:53.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:07:53.832Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50521.365 ms) ====== [2025-12-20T20:07:53.832Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T20:07:54.986Z] GC before operation: completed in 920.230 ms, heap usage 224.323 MB -> 90.461 MB. [2025-12-20T20:08:03.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:08:09.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:08:16.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:08:25.821Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:08:29.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:08:34.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:08:39.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:08:43.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:08:43.850Z] 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. [2025-12-20T20:08:44.176Z] The best model improves the baseline by 14.52%. [2025-12-20T20:08:44.502Z] Top recommended movies for user id 72: [2025-12-20T20:08:44.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:08:44.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:08:44.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:08:44.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:08:44.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:08:44.502Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49728.292 ms) ====== [2025-12-20T20:08:44.502Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T20:08:45.680Z] GC before operation: completed in 929.997 ms, heap usage 639.308 MB -> 94.121 MB. [2025-12-20T20:08:54.535Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:09:01.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:09:09.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:09:16.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:09:21.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:09:24.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:09:29.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:09:34.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:09:34.783Z] 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. [2025-12-20T20:09:34.783Z] The best model improves the baseline by 14.52%. [2025-12-20T20:09:35.479Z] Top recommended movies for user id 72: [2025-12-20T20:09:35.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:09:35.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:09:35.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:09:35.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:09:35.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:09:35.480Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49881.534 ms) ====== [2025-12-20T20:09:35.480Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T20:09:36.199Z] GC before operation: completed in 923.505 ms, heap usage 569.208 MB -> 94.159 MB. [2025-12-20T20:09:45.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:09:52.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:09:59.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:10:06.787Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:10:11.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:10:16.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:10:21.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:10:24.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:10:25.953Z] 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. [2025-12-20T20:10:25.953Z] The best model improves the baseline by 14.52%. [2025-12-20T20:10:26.669Z] Top recommended movies for user id 72: [2025-12-20T20:10:26.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:10:26.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:10:26.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:10:26.712Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:10:26.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:10:26.712Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50120.052 ms) ====== [2025-12-20T20:10:26.712Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T20:10:27.435Z] GC before operation: completed in 896.602 ms, heap usage 378.739 MB -> 90.589 MB. [2025-12-20T20:10:36.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:10:43.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:10:50.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:10:59.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:11:03.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:11:09.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:11:14.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:11:18.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:11:19.960Z] 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. [2025-12-20T20:11:19.960Z] The best model improves the baseline by 14.52%. [2025-12-20T20:11:20.289Z] Top recommended movies for user id 72: [2025-12-20T20:11:20.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:11:20.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:11:20.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:11:20.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:11:20.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:11:20.289Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53054.643 ms) ====== [2025-12-20T20:11:20.289Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T20:11:21.466Z] GC before operation: completed in 897.731 ms, heap usage 456.616 MB -> 90.682 MB. [2025-12-20T20:11:30.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T20:11:37.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T20:11:46.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T20:11:53.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T20:11:58.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T20:12:03.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T20:12:09.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T20:12:13.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T20:12:15.162Z] 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. [2025-12-20T20:12:15.162Z] The best model improves the baseline by 14.52%. [2025-12-20T20:12:15.880Z] Top recommended movies for user id 72: [2025-12-20T20:12:15.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T20:12:15.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T20:12:15.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T20:12:15.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T20:12:15.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T20:12:15.880Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (54461.291 ms) ====== [2025-12-20T20:12:18.818Z] ----------------------------------- [2025-12-20T20:12:18.818Z] renaissance-movie-lens_0_PASSED [2025-12-20T20:12:18.818Z] ----------------------------------- [2025-12-20T20:12:18.818Z] [2025-12-20T20:12:18.818Z] TEST TEARDOWN: [2025-12-20T20:12:18.818Z] Nothing to be done for teardown. [2025-12-20T20:12:19.176Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 20:12:18 2025 Epoch Time (ms): 1766261538838