[2025-12-20T12:56:01.368Z] Running test renaissance-movie-lens_0 ... [2025-12-20T12:56:01.368Z] =============================================== [2025-12-20T12:56:01.368Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 07:56:01 2025 Epoch Time (ms): 1766235361104 [2025-12-20T12:56:01.368Z] variation: NoOptions [2025-12-20T12:56:01.368Z] JVM_OPTIONS: [2025-12-20T12:56:01.368Z] { \ [2025-12-20T12:56:01.368Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T12:56:01.368Z] echo "Nothing to be done for setup."; \ [2025-12-20T12:56:01.368Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662348864771/renaissance-movie-lens_0"; \ [2025-12-20T12:56:01.368Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662348864771/renaissance-movie-lens_0"; \ [2025-12-20T12:56:01.368Z] echo ""; echo "TESTING:"; \ [2025-12-20T12:56:01.368Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662348864771/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T12:56:01.368Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662348864771/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T12:56:01.368Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T12:56:01.368Z] echo "Nothing to be done for teardown."; \ [2025-12-20T12:56:01.368Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17662348864771/TestTargetResult"; [2025-12-20T12:56:01.368Z] [2025-12-20T12:56:01.368Z] TEST SETUP: [2025-12-20T12:56:01.368Z] Nothing to be done for setup. [2025-12-20T12:56:01.368Z] [2025-12-20T12:56:01.368Z] TESTING: [2025-12-20T12:56:01.368Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T12:56:01.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17662348864771/renaissance-movie-lens_0/launcher-075601-5684343464764917797/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T12:56:01.368Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T12:56:01.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T12:56:03.751Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T12:56:06.242Z] 07:56:05.663 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T12:56:06.593Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T12:56:06.953Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T12:56:06.953Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T12:56:06.953Z] GC before operation: completed in 46.913 ms, heap usage 217.281 MB -> 75.835 MB. [2025-12-20T12:56:09.343Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:11.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:12.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:13.592Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:14.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:15.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:15.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:16.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:16.611Z] 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. [2025-12-20T12:56:16.611Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:16.611Z] Top recommended movies for user id 72: [2025-12-20T12:56:16.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:16.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:16.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:16.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:16.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:16.611Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9886.626 ms) ====== [2025-12-20T12:56:16.611Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T12:56:16.611Z] GC before operation: completed in 49.506 ms, heap usage 180.085 MB -> 91.602 MB. [2025-12-20T12:56:17.836Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:19.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:20.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:21.518Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:21.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:22.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:23.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:24.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:24.169Z] 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. [2025-12-20T12:56:24.169Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:24.169Z] Top recommended movies for user id 72: [2025-12-20T12:56:24.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:24.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:24.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:24.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:24.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:24.169Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7369.383 ms) ====== [2025-12-20T12:56:24.169Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T12:56:24.169Z] GC before operation: completed in 46.087 ms, heap usage 426.693 MB -> 89.051 MB. [2025-12-20T12:56:25.391Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:26.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:27.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:28.641Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:29.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:30.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:30.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:31.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:31.382Z] 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. [2025-12-20T12:56:31.382Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:31.735Z] Top recommended movies for user id 72: [2025-12-20T12:56:31.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:31.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:31.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:31.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:31.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:31.735Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7369.492 ms) ====== [2025-12-20T12:56:31.735Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T12:56:31.735Z] GC before operation: completed in 42.902 ms, heap usage 364.792 MB -> 89.667 MB. [2025-12-20T12:56:33.043Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:33.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:35.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:35.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:36.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:37.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:38.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:38.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:38.895Z] 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. [2025-12-20T12:56:38.895Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:38.895Z] Top recommended movies for user id 72: [2025-12-20T12:56:38.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:38.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:38.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:38.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:38.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:38.895Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7212.263 ms) ====== [2025-12-20T12:56:38.895Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T12:56:38.895Z] GC before operation: completed in 46.081 ms, heap usage 108.376 MB -> 92.649 MB. [2025-12-20T12:56:40.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:40.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:42.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:43.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:44.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:44.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:45.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:45.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:45.998Z] 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. [2025-12-20T12:56:45.998Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:45.998Z] Top recommended movies for user id 72: [2025-12-20T12:56:45.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:45.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:45.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:45.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:45.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:45.999Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7217.426 ms) ====== [2025-12-20T12:56:45.999Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T12:56:45.999Z] GC before operation: completed in 43.360 ms, heap usage 121.324 MB -> 90.972 MB. [2025-12-20T12:56:47.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:48.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:49.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:50.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:50.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:51.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:52.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:52.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:52.844Z] 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. [2025-12-20T12:56:52.844Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:52.844Z] Top recommended movies for user id 72: [2025-12-20T12:56:52.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:52.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:52.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:52.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:52.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:52.844Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6863.905 ms) ====== [2025-12-20T12:56:52.844Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T12:56:53.195Z] GC before operation: completed in 44.711 ms, heap usage 276.121 MB -> 90.124 MB. [2025-12-20T12:56:53.948Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:56:55.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:56:55.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:56:57.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:56:57.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:56:58.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:56:59.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:56:59.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:56:59.770Z] 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. [2025-12-20T12:56:59.770Z] The best model improves the baseline by 14.52%. [2025-12-20T12:56:59.770Z] Top recommended movies for user id 72: [2025-12-20T12:56:59.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:56:59.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:56:59.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:56:59.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:56:59.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:56:59.770Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (6722.094 ms) ====== [2025-12-20T12:56:59.770Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T12:56:59.770Z] GC before operation: completed in 46.941 ms, heap usage 288.079 MB -> 90.182 MB. [2025-12-20T12:57:01.056Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:01.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:03.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:03.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:04.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:05.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:06.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:06.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:06.599Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T12:57:06.599Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:06.599Z] Top recommended movies for user id 72: [2025-12-20T12:57:06.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:06.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:06.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:06.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:06.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:06.599Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6923.396 ms) ====== [2025-12-20T12:57:06.599Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T12:57:06.599Z] GC before operation: completed in 44.237 ms, heap usage 375.493 MB -> 90.396 MB. [2025-12-20T12:57:07.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:09.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:10.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:11.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:11.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:12.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:13.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:13.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:14.087Z] 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. [2025-12-20T12:57:14.087Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:14.087Z] Top recommended movies for user id 72: [2025-12-20T12:57:14.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:14.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:14.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:14.087Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:14.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:14.087Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7203.674 ms) ====== [2025-12-20T12:57:14.087Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T12:57:14.087Z] GC before operation: completed in 49.367 ms, heap usage 331.707 MB -> 90.250 MB. [2025-12-20T12:57:15.316Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:16.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:17.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:18.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:18.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:19.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:19.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:20.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:20.726Z] 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. [2025-12-20T12:57:20.726Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:20.726Z] Top recommended movies for user id 72: [2025-12-20T12:57:20.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:20.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:20.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:20.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:20.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:20.726Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6794.528 ms) ====== [2025-12-20T12:57:20.726Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T12:57:20.726Z] GC before operation: completed in 44.821 ms, heap usage 429.579 MB -> 90.602 MB. [2025-12-20T12:57:21.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:23.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:23.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:24.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:25.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:25.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:26.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:27.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:27.412Z] 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. [2025-12-20T12:57:27.412Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:27.412Z] Top recommended movies for user id 72: [2025-12-20T12:57:27.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:27.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:27.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:27.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:27.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:27.412Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6494.437 ms) ====== [2025-12-20T12:57:27.412Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T12:57:27.412Z] GC before operation: completed in 47.066 ms, heap usage 211.208 MB -> 89.898 MB. [2025-12-20T12:57:28.632Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:29.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:30.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:31.401Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:32.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:32.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:33.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:33.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:34.027Z] 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. [2025-12-20T12:57:34.027Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:34.027Z] Top recommended movies for user id 72: [2025-12-20T12:57:34.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:34.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:34.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:34.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:34.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:34.027Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6556.648 ms) ====== [2025-12-20T12:57:34.027Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T12:57:34.027Z] GC before operation: completed in 44.034 ms, heap usage 236.097 MB -> 90.257 MB. [2025-12-20T12:57:35.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:36.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:37.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:38.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:38.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:39.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:39.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:40.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:40.691Z] 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. [2025-12-20T12:57:40.691Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:40.691Z] Top recommended movies for user id 72: [2025-12-20T12:57:40.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:40.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:40.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:40.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:40.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:40.691Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6638.178 ms) ====== [2025-12-20T12:57:40.691Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T12:57:40.691Z] GC before operation: completed in 42.866 ms, heap usage 429.448 MB -> 90.684 MB. [2025-12-20T12:57:41.921Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:42.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:43.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:44.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:45.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:46.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:46.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:47.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:47.462Z] 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. [2025-12-20T12:57:47.462Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:47.462Z] Top recommended movies for user id 72: [2025-12-20T12:57:47.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:47.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:47.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:47.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:47.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:47.462Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6860.471 ms) ====== [2025-12-20T12:57:47.462Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T12:57:47.462Z] GC before operation: completed in 42.410 ms, heap usage 205.307 MB -> 90.056 MB. [2025-12-20T12:57:48.689Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:49.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:50.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:51.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:52.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:57:52.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:57:53.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:57:54.468Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:57:54.468Z] 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. [2025-12-20T12:57:54.469Z] The best model improves the baseline by 14.52%. [2025-12-20T12:57:54.469Z] Top recommended movies for user id 72: [2025-12-20T12:57:54.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:57:54.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:57:54.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:57:54.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:57:54.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:57:54.469Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6820.680 ms) ====== [2025-12-20T12:57:54.469Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T12:57:54.469Z] GC before operation: completed in 40.744 ms, heap usage 334.180 MB -> 90.399 MB. [2025-12-20T12:57:55.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:57:56.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:57:57.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:57:58.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:57:59.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:58:00.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:58:00.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:58:01.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:58:01.323Z] 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. [2025-12-20T12:58:01.323Z] The best model improves the baseline by 14.52%. [2025-12-20T12:58:01.681Z] Top recommended movies for user id 72: [2025-12-20T12:58:01.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:58:01.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:58:01.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:58:01.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:58:01.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:58:01.681Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7042.541 ms) ====== [2025-12-20T12:58:01.681Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T12:58:01.681Z] GC before operation: completed in 44.336 ms, heap usage 405.182 MB -> 90.506 MB. [2025-12-20T12:58:02.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:58:03.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:58:05.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:58:05.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:58:06.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:58:07.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:58:07.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:58:08.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:58:08.263Z] 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. [2025-12-20T12:58:08.263Z] The best model improves the baseline by 14.52%. [2025-12-20T12:58:08.633Z] Top recommended movies for user id 72: [2025-12-20T12:58:08.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:58:08.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:58:08.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:58:08.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:58:08.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:58:08.633Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6930.846 ms) ====== [2025-12-20T12:58:08.633Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T12:58:08.633Z] GC before operation: completed in 43.062 ms, heap usage 410.636 MB -> 90.635 MB. [2025-12-20T12:58:09.396Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:58:10.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:58:11.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:58:12.847Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:58:13.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:58:13.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:58:14.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:58:15.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:58:15.132Z] 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. [2025-12-20T12:58:15.132Z] The best model improves the baseline by 14.52%. [2025-12-20T12:58:15.132Z] Top recommended movies for user id 72: [2025-12-20T12:58:15.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:58:15.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:58:15.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:58:15.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:58:15.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:58:15.132Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6696.930 ms) ====== [2025-12-20T12:58:15.132Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T12:58:15.132Z] GC before operation: completed in 45.580 ms, heap usage 486.714 MB -> 90.462 MB. [2025-12-20T12:58:16.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:58:17.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:58:18.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:58:19.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:58:20.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:58:20.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:58:20.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:58:21.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:58:21.767Z] 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. [2025-12-20T12:58:21.767Z] The best model improves the baseline by 14.52%. [2025-12-20T12:58:21.767Z] Top recommended movies for user id 72: [2025-12-20T12:58:21.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:58:21.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:58:21.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:58:21.767Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:58:21.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:58:21.767Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6634.931 ms) ====== [2025-12-20T12:58:21.767Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T12:58:21.767Z] GC before operation: completed in 43.316 ms, heap usage 356.282 MB -> 90.567 MB. [2025-12-20T12:58:23.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T12:58:23.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T12:58:25.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T12:58:26.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T12:58:27.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T12:58:28.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T12:58:28.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T12:58:29.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T12:58:29.165Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T12:58:29.165Z] The best model improves the baseline by 14.52%. [2025-12-20T12:58:29.165Z] Top recommended movies for user id 72: [2025-12-20T12:58:29.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T12:58:29.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T12:58:29.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T12:58:29.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T12:58:29.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T12:58:29.165Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7339.490 ms) ====== [2025-12-20T12:58:29.524Z] ----------------------------------- [2025-12-20T12:58:29.524Z] renaissance-movie-lens_0_PASSED [2025-12-20T12:58:29.524Z] ----------------------------------- [2025-12-20T12:58:29.524Z] [2025-12-20T12:58:29.524Z] TEST TEARDOWN: [2025-12-20T12:58:29.524Z] Nothing to be done for teardown. [2025-12-20T12:58:29.524Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 07:58:29 2025 Epoch Time (ms): 1766235509305