[2026-03-07T12:52:56.717Z] Running test renaissance-movie-lens_0 ... [2026-03-07T12:52:56.717Z] =============================================== [2026-03-07T12:52:56.717Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 12:52:56 2026 Epoch Time (ms): 1772887976116 [2026-03-07T12:52:56.717Z] variation: NoOptions [2026-03-07T12:52:56.717Z] JVM_OPTIONS: [2026-03-07T12:52:56.717Z] { \ [2026-03-07T12:52:56.717Z] echo ""; echo "TEST SETUP:"; \ [2026-03-07T12:52:56.717Z] echo "Nothing to be done for setup."; \ [2026-03-07T12:52:56.717Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17728863926611/renaissance-movie-lens_0"; \ [2026-03-07T12:52:56.717Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17728863926611/renaissance-movie-lens_0"; \ [2026-03-07T12:52:56.717Z] echo ""; echo "TESTING:"; \ [2026-03-07T12:52:56.717Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17728863926611/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-07T12:52:56.717Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17728863926611/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-07T12:52:56.717Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-07T12:52:56.717Z] echo "Nothing to be done for teardown."; \ [2026-03-07T12:52:56.717Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17728863926611/TestTargetResult"; [2026-03-07T12:52:56.717Z] [2026-03-07T12:52:56.717Z] TEST SETUP: [2026-03-07T12:52:56.717Z] Nothing to be done for setup. [2026-03-07T12:52:56.717Z] [2026-03-07T12:52:56.717Z] TESTING: [2026-03-07T12:52:57.674Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-07T12:52:57.674Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17728863926611/renaissance-movie-lens_0/launcher-125256-5121610599446971347/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-07T12:52:57.674Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-07T12:52:57.674Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-07T12:53:07.473Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-07T12:53:21.133Z] 12:53:20.667 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-07T12:53:25.309Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-07T12:53:26.272Z] Training: 60056, validation: 20285, test: 19854 [2026-03-07T12:53:26.272Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-07T12:53:26.272Z] GC before operation: completed in 189.545 ms, heap usage 254.837 MB -> 75.984 MB. [2026-03-07T12:53:37.860Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:53:43.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:53:48.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:53:53.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:53:56.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:53:58.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:54:01.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:54:04.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:54:05.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:54:05.702Z] The best model improves the baseline by 14.52%. [2026-03-07T12:54:05.702Z] Top recommended movies for user id 72: [2026-03-07T12:54:05.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:54:05.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:54:05.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:54:05.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:54:05.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:54:05.702Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39842.304 ms) ====== [2026-03-07T12:54:05.702Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-07T12:54:06.661Z] GC before operation: completed in 208.790 ms, heap usage 214.696 MB -> 89.568 MB. [2026-03-07T12:54:12.072Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:54:17.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:54:21.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:54:25.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:54:28.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:54:31.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:54:34.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:54:38.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:54:38.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:54:38.959Z] The best model improves the baseline by 14.52%. [2026-03-07T12:54:38.959Z] Top recommended movies for user id 72: [2026-03-07T12:54:38.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:54:38.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:54:38.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:54:38.959Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:54:38.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:54:38.959Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32833.929 ms) ====== [2026-03-07T12:54:38.959Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-07T12:54:38.959Z] GC before operation: completed in 213.503 ms, heap usage 146.226 MB -> 88.497 MB. [2026-03-07T12:54:44.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:54:48.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:54:53.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:54:57.017Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:55:00.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:55:02.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:55:05.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:55:07.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:55:08.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:55:08.786Z] The best model improves the baseline by 14.52%. [2026-03-07T12:55:08.786Z] Top recommended movies for user id 72: [2026-03-07T12:55:08.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:55:08.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:55:08.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:55:08.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:55:08.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:55:08.786Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29688.107 ms) ====== [2026-03-07T12:55:08.786Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-07T12:55:08.786Z] GC before operation: completed in 201.026 ms, heap usage 406.132 MB -> 89.442 MB. [2026-03-07T12:55:12.960Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:55:17.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:55:22.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:55:26.865Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:55:28.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:55:31.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:55:34.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:55:37.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:55:37.968Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:55:37.968Z] The best model improves the baseline by 14.52%. [2026-03-07T12:55:37.968Z] Top recommended movies for user id 72: [2026-03-07T12:55:37.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:55:37.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:55:37.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:55:37.968Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:55:37.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:55:37.968Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28932.348 ms) ====== [2026-03-07T12:55:37.968Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-07T12:55:37.968Z] GC before operation: completed in 203.334 ms, heap usage 454.940 MB -> 89.956 MB. [2026-03-07T12:55:42.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:55:46.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:55:50.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:55:53.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:55:56.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:55:58.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:56:01.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:56:03.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:56:03.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:56:04.514Z] The best model improves the baseline by 14.52%. [2026-03-07T12:56:04.514Z] Top recommended movies for user id 72: [2026-03-07T12:56:04.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:56:04.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:56:04.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:56:04.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:56:04.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:56:04.514Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26080.117 ms) ====== [2026-03-07T12:56:04.514Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-07T12:56:04.514Z] GC before operation: completed in 234.635 ms, heap usage 777.788 MB -> 93.639 MB. [2026-03-07T12:56:08.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:56:13.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:56:17.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:56:20.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:56:23.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:56:25.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:56:27.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:56:30.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:56:30.854Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:56:30.854Z] The best model improves the baseline by 14.52%. [2026-03-07T12:56:30.854Z] Top recommended movies for user id 72: [2026-03-07T12:56:30.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:56:30.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:56:30.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:56:30.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:56:30.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:56:30.854Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26243.051 ms) ====== [2026-03-07T12:56:30.854Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-07T12:56:30.854Z] GC before operation: completed in 189.262 ms, heap usage 359.868 MB -> 90.083 MB. [2026-03-07T12:56:35.034Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:56:39.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:56:42.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:56:46.582Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:56:48.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:56:50.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:56:52.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:56:55.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:56:55.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:56:55.550Z] The best model improves the baseline by 14.52%. [2026-03-07T12:56:55.550Z] Top recommended movies for user id 72: [2026-03-07T12:56:55.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:56:55.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:56:55.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:56:55.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:56:55.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:56:55.550Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24487.723 ms) ====== [2026-03-07T12:56:55.550Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-07T12:56:55.550Z] GC before operation: completed in 190.014 ms, heap usage 334.911 MB -> 89.876 MB. [2026-03-07T12:56:59.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:57:02.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:57:05.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:57:08.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:57:10.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:57:13.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:57:15.809Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:57:19.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:57:19.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:57:19.630Z] The best model improves the baseline by 14.52%. [2026-03-07T12:57:20.606Z] Top recommended movies for user id 72: [2026-03-07T12:57:20.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:57:20.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:57:20.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:57:20.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:57:20.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:57:20.606Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23547.667 ms) ====== [2026-03-07T12:57:20.606Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-07T12:57:20.606Z] GC before operation: completed in 197.392 ms, heap usage 94.270 MB -> 90.322 MB. [2026-03-07T12:57:23.650Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:57:27.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:57:32.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:57:36.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:57:38.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:57:40.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:57:42.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:57:45.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:57:45.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:57:45.280Z] The best model improves the baseline by 14.52%. [2026-03-07T12:57:45.280Z] Top recommended movies for user id 72: [2026-03-07T12:57:45.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:57:45.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:57:45.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:57:45.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:57:45.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:57:45.280Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25827.804 ms) ====== [2026-03-07T12:57:45.280Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-07T12:57:45.281Z] GC before operation: completed in 171.692 ms, heap usage 579.674 MB -> 93.577 MB. [2026-03-07T12:57:49.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:57:52.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:57:56.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:57:59.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:58:01.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:58:03.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:58:05.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:58:07.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:58:08.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:58:08.595Z] The best model improves the baseline by 14.52%. [2026-03-07T12:58:08.595Z] Top recommended movies for user id 72: [2026-03-07T12:58:08.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:58:08.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:58:08.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:58:08.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:58:08.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:58:08.595Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23004.322 ms) ====== [2026-03-07T12:58:08.595Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-07T12:58:08.595Z] GC before operation: completed in 183.428 ms, heap usage 129.980 MB -> 91.486 MB. [2026-03-07T12:58:12.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:58:15.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:58:20.039Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:58:23.073Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:58:25.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:58:27.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:58:30.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:58:31.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:58:31.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:58:31.701Z] The best model improves the baseline by 14.52%. [2026-03-07T12:58:32.661Z] Top recommended movies for user id 72: [2026-03-07T12:58:32.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:58:32.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:58:32.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:58:32.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:58:32.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:58:32.661Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23640.236 ms) ====== [2026-03-07T12:58:32.661Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-07T12:58:32.661Z] GC before operation: completed in 185.623 ms, heap usage 332.856 MB -> 90.004 MB. [2026-03-07T12:58:36.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:58:39.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:58:42.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:58:46.014Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:58:49.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:58:51.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:58:52.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:58:54.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:58:54.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:58:54.953Z] The best model improves the baseline by 14.52%. [2026-03-07T12:58:54.953Z] Top recommended movies for user id 72: [2026-03-07T12:58:54.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:58:54.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:58:54.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:58:54.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:58:54.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:58:54.953Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22818.426 ms) ====== [2026-03-07T12:58:54.953Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-07T12:58:55.908Z] GC before operation: completed in 189.739 ms, heap usage 111.808 MB -> 89.847 MB. [2026-03-07T12:58:58.945Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:59:01.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:59:06.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:59:09.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:59:11.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:59:13.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:59:15.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:59:17.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:59:18.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:59:18.053Z] The best model improves the baseline by 14.52%. [2026-03-07T12:59:18.053Z] Top recommended movies for user id 72: [2026-03-07T12:59:18.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:59:18.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:59:18.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:59:18.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:59:18.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:59:18.053Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22366.677 ms) ====== [2026-03-07T12:59:18.053Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-07T12:59:18.053Z] GC before operation: completed in 201.115 ms, heap usage 665.514 MB -> 94.011 MB. [2026-03-07T12:59:22.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:59:26.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:59:29.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:59:33.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:59:35.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:59:37.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:59:41.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:59:42.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:59:42.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T12:59:42.310Z] The best model improves the baseline by 14.52%. [2026-03-07T12:59:43.266Z] Top recommended movies for user id 72: [2026-03-07T12:59:43.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T12:59:43.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T12:59:43.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T12:59:43.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T12:59:43.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T12:59:43.266Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24733.723 ms) ====== [2026-03-07T12:59:43.266Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-07T12:59:43.266Z] GC before operation: completed in 184.279 ms, heap usage 199.760 MB -> 89.916 MB. [2026-03-07T12:59:47.449Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:59:50.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:59:54.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:59:57.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:59:59.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:00:02.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:00:04.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:00:06.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:00:07.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:00:07.644Z] The best model improves the baseline by 14.52%. [2026-03-07T13:00:07.644Z] Top recommended movies for user id 72: [2026-03-07T13:00:07.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:00:07.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:00:07.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:00:07.644Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:00:07.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:00:07.644Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24426.579 ms) ====== [2026-03-07T13:00:07.644Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-07T13:00:07.644Z] GC before operation: completed in 197.302 ms, heap usage 576.678 MB -> 93.862 MB. [2026-03-07T13:00:11.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:00:16.010Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:00:20.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:00:23.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:00:25.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:00:28.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:00:30.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:00:33.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:00:33.264Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:00:33.264Z] The best model improves the baseline by 14.52%. [2026-03-07T13:00:34.231Z] Top recommended movies for user id 72: [2026-03-07T13:00:34.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:00:34.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:00:34.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:00:34.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:00:34.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:00:34.231Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26239.437 ms) ====== [2026-03-07T13:00:34.231Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-07T13:00:34.231Z] GC before operation: completed in 200.239 ms, heap usage 146.788 MB -> 89.933 MB. [2026-03-07T13:00:38.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:00:41.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:00:45.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:00:48.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:00:51.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:00:54.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:00:56.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:00:59.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:00:59.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:00:59.438Z] The best model improves the baseline by 14.52%. [2026-03-07T13:00:59.438Z] Top recommended movies for user id 72: [2026-03-07T13:00:59.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:00:59.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:00:59.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:00:59.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:00:59.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:00:59.438Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25728.984 ms) ====== [2026-03-07T13:00:59.438Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-07T13:01:00.396Z] GC before operation: completed in 202.486 ms, heap usage 577.922 MB -> 93.789 MB. [2026-03-07T13:01:04.578Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:01:08.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:01:12.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:01:16.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:01:19.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:01:21.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:01:24.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:01:26.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:01:27.073Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:01:27.073Z] The best model improves the baseline by 14.52%. [2026-03-07T13:01:27.073Z] Top recommended movies for user id 72: [2026-03-07T13:01:27.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:01:27.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:01:27.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:01:27.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:01:27.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:01:27.073Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (26984.239 ms) ====== [2026-03-07T13:01:27.073Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-07T13:01:27.073Z] GC before operation: completed in 200.868 ms, heap usage 210.902 MB -> 89.952 MB. [2026-03-07T13:01:31.258Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:01:35.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:01:39.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:01:42.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:01:45.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:01:47.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:01:50.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:01:52.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:01:52.879Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:01:52.879Z] The best model improves the baseline by 14.52%. [2026-03-07T13:01:53.837Z] Top recommended movies for user id 72: [2026-03-07T13:01:53.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:01:53.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:01:53.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:01:53.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:01:53.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:01:53.837Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26193.724 ms) ====== [2026-03-07T13:01:53.837Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-07T13:01:53.837Z] GC before operation: completed in 198.646 ms, heap usage 212.560 MB -> 90.046 MB. [2026-03-07T13:01:58.301Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:02:01.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:02:04.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:02:07.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:02:10.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:02:12.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:02:14.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:02:16.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:02:16.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-07T13:02:17.344Z] The best model improves the baseline by 14.52%. [2026-03-07T13:02:17.344Z] Top recommended movies for user id 72: [2026-03-07T13:02:17.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:02:17.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:02:17.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:02:17.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:02:17.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:02:17.344Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23475.121 ms) ====== [2026-03-07T13:02:18.301Z] ----------------------------------- [2026-03-07T13:02:18.301Z] renaissance-movie-lens_0_PASSED [2026-03-07T13:02:18.301Z] ----------------------------------- [2026-03-07T13:02:18.301Z] [2026-03-07T13:02:18.301Z] TEST TEARDOWN: [2026-03-07T13:02:18.301Z] Nothing to be done for teardown. [2026-03-07T13:02:18.301Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 13:02:18 2026 Epoch Time (ms): 1772888538194