[2026-03-06T04:53:20.992Z] Running test renaissance-movie-lens_0 ... [2026-03-06T04:53:20.992Z] =============================================== [2026-03-06T04:53:20.992Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 04:53:20 2026 Epoch Time (ms): 1772772800867 [2026-03-06T04:53:20.992Z] variation: NoOptions [2026-03-06T04:53:20.992Z] JVM_OPTIONS: [2026-03-06T04:53:20.992Z] { \ [2026-03-06T04:53:20.992Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T04:53:20.992Z] echo "Nothing to be done for setup."; \ [2026-03-06T04:53:20.992Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727715576995/renaissance-movie-lens_0"; \ [2026-03-06T04:53:20.992Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727715576995/renaissance-movie-lens_0"; \ [2026-03-06T04:53:20.992Z] echo ""; echo "TESTING:"; \ [2026-03-06T04:53:20.992Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727715576995/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T04:53:20.992Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727715576995/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T04:53:20.992Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T04:53:20.992Z] echo "Nothing to be done for teardown."; \ [2026-03-06T04:53:20.992Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727715576995/TestTargetResult"; [2026-03-06T04:53:20.992Z] [2026-03-06T04:53:20.992Z] TEST SETUP: [2026-03-06T04:53:20.992Z] Nothing to be done for setup. [2026-03-06T04:53:20.992Z] [2026-03-06T04:53:20.992Z] TESTING: [2026-03-06T04:53:21.744Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T04:53:21.744Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17727715576995/renaissance-movie-lens_0/launcher-045321-5927600510063207126/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T04:53:21.744Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T04:53:21.744Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T04:53:29.919Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-06T04:53:43.528Z] 04:53:42.079 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-06T04:53:46.500Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T04:53:47.257Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T04:53:47.257Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T04:53:47.257Z] GC before operation: completed in 318.217 ms, heap usage 312.913 MB -> 75.755 MB. [2026-03-06T04:53:59.002Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:54:07.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:54:15.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:54:20.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:54:24.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:54:28.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:54:31.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:54:34.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:54:34.804Z] 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. [2026-03-06T04:54:34.804Z] The best model improves the baseline by 14.52%. [2026-03-06T04:54:35.572Z] Top recommended movies for user id 72: [2026-03-06T04:54:35.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:54:35.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:54:35.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:54:35.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:54:35.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:54:35.572Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47767.476 ms) ====== [2026-03-06T04:54:35.572Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T04:54:35.572Z] GC before operation: completed in 252.826 ms, heap usage 176.131 MB -> 87.471 MB. [2026-03-06T04:54:41.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:54:47.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:54:53.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:54:58.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:55:01.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:55:05.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:55:08.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:55:11.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:55:11.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T04:55:11.864Z] The best model improves the baseline by 14.52%. [2026-03-06T04:55:12.623Z] Top recommended movies for user id 72: [2026-03-06T04:55:12.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:55:12.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:55:12.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:55:12.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:55:12.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:55:12.623Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36929.916 ms) ====== [2026-03-06T04:55:12.623Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T04:55:12.623Z] GC before operation: completed in 224.090 ms, heap usage 208.769 MB -> 88.465 MB. [2026-03-06T04:55:18.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:55:22.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:55:28.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:55:34.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:55:36.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:55:39.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:55:42.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:55:45.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:55:45.804Z] 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. [2026-03-06T04:55:45.804Z] The best model improves the baseline by 14.52%. [2026-03-06T04:55:46.575Z] Top recommended movies for user id 72: [2026-03-06T04:55:46.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:55:46.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:55:46.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:55:46.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:55:46.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:55:46.575Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33651.774 ms) ====== [2026-03-06T04:55:46.575Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T04:55:46.575Z] GC before operation: completed in 225.764 ms, heap usage 378.901 MB -> 89.353 MB. [2026-03-06T04:55:52.134Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:55:56.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:56:02.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:56:07.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:56:10.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:56:13.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:56:16.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:56:19.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:56:20.384Z] 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. [2026-03-06T04:56:20.384Z] The best model improves the baseline by 14.52%. [2026-03-06T04:56:20.384Z] Top recommended movies for user id 72: [2026-03-06T04:56:20.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:56:20.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:56:20.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:56:20.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:56:20.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:56:20.384Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33963.450 ms) ====== [2026-03-06T04:56:20.384Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T04:56:21.154Z] GC before operation: completed in 273.029 ms, heap usage 378.954 MB -> 89.637 MB. [2026-03-06T04:56:25.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:56:31.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:56:36.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:56:40.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:56:43.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:56:45.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:56:49.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:56:51.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:56:52.519Z] 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. [2026-03-06T04:56:52.519Z] The best model improves the baseline by 14.52%. [2026-03-06T04:56:52.519Z] Top recommended movies for user id 72: [2026-03-06T04:56:52.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:56:52.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:56:52.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:56:52.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:56:52.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:56:52.519Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31765.884 ms) ====== [2026-03-06T04:56:52.519Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T04:56:52.519Z] GC before operation: completed in 277.854 ms, heap usage 281.076 MB -> 89.402 MB. [2026-03-06T04:56:58.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:57:02.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:57:06.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:57:10.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:57:14.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:57:15.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:57:19.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:57:21.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:57:21.654Z] 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. [2026-03-06T04:57:21.654Z] The best model improves the baseline by 14.52%. [2026-03-06T04:57:22.415Z] Top recommended movies for user id 72: [2026-03-06T04:57:22.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:57:22.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:57:22.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:57:22.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:57:22.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:57:22.415Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (29289.489 ms) ====== [2026-03-06T04:57:22.415Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T04:57:22.415Z] GC before operation: completed in 285.664 ms, heap usage 628.184 MB -> 93.415 MB. [2026-03-06T04:57:26.828Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:57:31.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:57:36.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:57:41.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:57:43.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:57:46.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:57:50.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:57:52.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:57:52.546Z] 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. [2026-03-06T04:57:53.299Z] The best model improves the baseline by 14.52%. [2026-03-06T04:57:53.299Z] Top recommended movies for user id 72: [2026-03-06T04:57:53.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:57:53.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:57:53.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:57:53.300Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:57:53.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:57:53.300Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30868.727 ms) ====== [2026-03-06T04:57:53.300Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T04:57:53.300Z] GC before operation: completed in 286.361 ms, heap usage 447.022 MB -> 89.853 MB. [2026-03-06T04:57:58.830Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:58:03.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:58:07.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:58:12.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:58:15.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:58:18.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:58:21.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:58:24.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:58:24.732Z] 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. [2026-03-06T04:58:24.732Z] The best model improves the baseline by 14.52%. [2026-03-06T04:58:24.732Z] Top recommended movies for user id 72: [2026-03-06T04:58:24.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:58:24.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:58:24.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:58:24.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:58:24.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:58:24.733Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31523.560 ms) ====== [2026-03-06T04:58:24.733Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T04:58:25.492Z] GC before operation: completed in 282.658 ms, heap usage 521.498 MB -> 90.251 MB. [2026-03-06T04:58:29.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:58:34.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:58:37.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:58:42.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:58:45.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:58:47.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:58:51.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:58:52.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:58:53.452Z] 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. [2026-03-06T04:58:53.452Z] The best model improves the baseline by 14.52%. [2026-03-06T04:58:54.209Z] Top recommended movies for user id 72: [2026-03-06T04:58:54.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:58:54.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:58:54.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:58:54.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:58:54.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:58:54.209Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28526.877 ms) ====== [2026-03-06T04:58:54.209Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T04:58:54.210Z] GC before operation: completed in 280.408 ms, heap usage 378.118 MB -> 89.884 MB. [2026-03-06T04:58:58.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:59:03.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:59:07.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:59:11.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:59:15.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:59:17.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:59:21.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:59:23.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:59:23.501Z] 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. [2026-03-06T04:59:23.501Z] The best model improves the baseline by 14.52%. [2026-03-06T04:59:24.264Z] Top recommended movies for user id 72: [2026-03-06T04:59:24.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:59:24.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:59:24.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:59:24.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:59:24.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:59:24.264Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29888.740 ms) ====== [2026-03-06T04:59:24.264Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T04:59:24.264Z] GC before operation: completed in 306.383 ms, heap usage 488.881 MB -> 90.312 MB. [2026-03-06T04:59:28.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T04:59:32.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T04:59:37.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T04:59:41.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T04:59:43.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T04:59:46.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T04:59:49.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T04:59:51.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T04:59:51.839Z] 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. [2026-03-06T04:59:51.839Z] The best model improves the baseline by 14.52%. [2026-03-06T04:59:52.600Z] Top recommended movies for user id 72: [2026-03-06T04:59:52.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T04:59:52.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T04:59:52.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T04:59:52.600Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T04:59:52.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T04:59:52.600Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28099.735 ms) ====== [2026-03-06T04:59:52.600Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T04:59:52.600Z] GC before operation: completed in 323.326 ms, heap usage 181.033 MB -> 89.597 MB. [2026-03-06T04:59:57.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:00:01.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:00:05.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:00:10.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:00:12.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:00:15.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:00:17.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:00:20.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:00:21.108Z] 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. [2026-03-06T05:00:21.108Z] The best model improves the baseline by 14.52%. [2026-03-06T05:00:21.108Z] Top recommended movies for user id 72: [2026-03-06T05:00:21.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:00:21.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:00:21.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:00:21.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:00:21.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:00:21.108Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28421.954 ms) ====== [2026-03-06T05:00:21.108Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T05:00:21.108Z] GC before operation: completed in 249.302 ms, heap usage 544.554 MB -> 93.548 MB. [2026-03-06T05:00:25.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:00:31.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:00:35.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:00:38.998Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:00:42.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:00:44.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:00:50.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:00:50.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:00:50.812Z] 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. [2026-03-06T05:00:50.812Z] The best model improves the baseline by 14.52%. [2026-03-06T05:00:51.568Z] Top recommended movies for user id 72: [2026-03-06T05:00:51.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:00:51.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:00:51.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:00:51.569Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:00:51.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:00:51.569Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29936.518 ms) ====== [2026-03-06T05:00:51.569Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T05:00:51.569Z] GC before operation: completed in 250.514 ms, heap usage 452.479 MB -> 90.323 MB. [2026-03-06T05:00:55.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:01:01.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:01:06.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:01:09.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:01:13.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:01:15.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:01:18.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:01:21.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:01:21.638Z] 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. [2026-03-06T05:01:22.399Z] The best model improves the baseline by 14.52%. [2026-03-06T05:01:22.399Z] Top recommended movies for user id 72: [2026-03-06T05:01:22.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:01:22.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:01:22.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:01:22.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:01:22.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:01:22.399Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30740.187 ms) ====== [2026-03-06T05:01:22.399Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T05:01:22.399Z] GC before operation: completed in 248.974 ms, heap usage 301.473 MB -> 89.929 MB. [2026-03-06T05:01:26.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:01:31.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:01:35.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:01:41.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:01:43.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:01:47.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:01:49.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:01:52.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:01:52.002Z] 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. [2026-03-06T05:01:52.002Z] The best model improves the baseline by 14.52%. [2026-03-06T05:01:52.763Z] Top recommended movies for user id 72: [2026-03-06T05:01:52.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:01:52.763Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:01:52.763Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:01:52.763Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:01:52.763Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:01:52.763Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30007.672 ms) ====== [2026-03-06T05:01:52.763Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T05:01:52.763Z] GC before operation: completed in 326.536 ms, heap usage 241.387 MB -> 90.036 MB. [2026-03-06T05:01:57.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:02:03.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:02:07.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:02:12.061Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:02:14.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:02:16.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:02:20.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:02:22.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:02:23.602Z] 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. [2026-03-06T05:02:23.602Z] The best model improves the baseline by 14.52%. [2026-03-06T05:02:23.602Z] Top recommended movies for user id 72: [2026-03-06T05:02:23.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:02:23.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:02:23.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:02:23.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:02:23.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:02:23.602Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30846.305 ms) ====== [2026-03-06T05:02:23.602Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T05:02:24.359Z] GC before operation: completed in 256.029 ms, heap usage 99.151 MB -> 89.630 MB. [2026-03-06T05:02:28.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:02:33.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:02:37.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:02:41.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:02:44.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:02:46.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:02:50.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:02:52.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:02:52.523Z] 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. [2026-03-06T05:02:52.523Z] The best model improves the baseline by 14.52%. [2026-03-06T05:02:53.279Z] Top recommended movies for user id 72: [2026-03-06T05:02:53.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:02:53.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:02:53.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:02:53.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:02:53.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:02:53.279Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28924.069 ms) ====== [2026-03-06T05:02:53.279Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T05:02:53.279Z] GC before operation: completed in 201.461 ms, heap usage 457.768 MB -> 90.229 MB. [2026-03-06T05:02:57.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:03:02.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:03:06.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:03:11.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:03:13.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:03:15.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:03:18.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:03:20.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:03:20.931Z] 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. [2026-03-06T05:03:21.706Z] The best model improves the baseline by 14.52%. [2026-03-06T05:03:21.706Z] Top recommended movies for user id 72: [2026-03-06T05:03:21.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:03:21.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:03:21.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:03:21.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:03:21.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:03:21.706Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28380.479 ms) ====== [2026-03-06T05:03:21.706Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T05:03:21.706Z] GC before operation: completed in 321.752 ms, heap usage 361.791 MB -> 90.007 MB. [2026-03-06T05:03:26.125Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:03:30.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:03:35.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:03:39.569Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:03:41.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:03:44.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:03:47.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:03:49.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:03:50.201Z] 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. [2026-03-06T05:03:50.201Z] The best model improves the baseline by 14.52%. [2026-03-06T05:03:50.201Z] Top recommended movies for user id 72: [2026-03-06T05:03:50.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:03:50.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:03:50.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:03:50.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:03:50.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:03:50.201Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28385.934 ms) ====== [2026-03-06T05:03:50.201Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T05:03:50.956Z] GC before operation: completed in 302.317 ms, heap usage 205.998 MB -> 89.911 MB. [2026-03-06T05:03:55.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T05:03:59.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T05:04:04.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T05:04:07.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T05:04:10.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T05:04:12.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T05:04:16.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T05:04:18.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T05:04:18.785Z] 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. [2026-03-06T05:04:18.785Z] The best model improves the baseline by 14.52%. [2026-03-06T05:04:18.785Z] Top recommended movies for user id 72: [2026-03-06T05:04:18.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T05:04:18.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T05:04:18.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T05:04:18.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T05:04:18.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T05:04:18.785Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28166.663 ms) ====== [2026-03-06T05:04:19.551Z] ----------------------------------- [2026-03-06T05:04:19.551Z] renaissance-movie-lens_0_PASSED [2026-03-06T05:04:19.551Z] ----------------------------------- [2026-03-06T05:04:19.551Z] [2026-03-06T05:04:19.551Z] TEST TEARDOWN: [2026-03-06T05:04:19.551Z] Nothing to be done for teardown. [2026-03-06T05:04:19.551Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 05:04:19 2026 Epoch Time (ms): 1772773459132