[2026-01-18T08:48:47.310Z] Running test renaissance-movie-lens_0 ... [2026-01-18T08:48:47.310Z] =============================================== [2026-01-18T08:48:47.310Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 03:48:46 2026 Epoch Time (ms): 1768726126772 [2026-01-18T08:48:47.310Z] variation: NoOptions [2026-01-18T08:48:47.310Z] JVM_OPTIONS: [2026-01-18T08:48:47.310Z] { \ [2026-01-18T08:48:47.310Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T08:48:47.310Z] echo "Nothing to be done for setup."; \ [2026-01-18T08:48:47.310Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768724182522/renaissance-movie-lens_0"; \ [2026-01-18T08:48:47.310Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768724182522/renaissance-movie-lens_0"; \ [2026-01-18T08:48:47.310Z] echo ""; echo "TESTING:"; \ [2026-01-18T08:48:47.310Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768724182522/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T08:48:47.310Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768724182522/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T08:48:47.310Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T08:48:47.310Z] echo "Nothing to be done for teardown."; \ [2026-01-18T08:48:47.310Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768724182522/TestTargetResult"; [2026-01-18T08:48:47.310Z] [2026-01-18T08:48:47.310Z] TEST SETUP: [2026-01-18T08:48:47.310Z] Nothing to be done for setup. [2026-01-18T08:48:47.310Z] [2026-01-18T08:48:47.310Z] TESTING: [2026-01-18T08:48:48.175Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-18T08:48:48.175Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_1768724182522/renaissance-movie-lens_0/launcher-034847-4196682031811375670/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-18T08:48:48.175Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-18T08:48:48.175Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-18T08:49:02.898Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-18T08:49:17.711Z] 03:49:16.907 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-18T08:49:21.832Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T08:49:22.778Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T08:49:22.778Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T08:49:23.232Z] GC before operation: completed in 191.420 ms, heap usage 280.732 MB -> 74.951 MB. [2026-01-18T08:49:44.549Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:49:55.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:50:07.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:50:20.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:50:25.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:50:30.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:50:37.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:50:42.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:50:43.469Z] 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. [2026-01-18T08:50:43.469Z] The best model improves the baseline by 14.52%. [2026-01-18T08:50:43.914Z] Top recommended movies for user id 72: [2026-01-18T08:50:43.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:50:43.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:50:43.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:50:43.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:50:43.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:50:43.914Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (80997.294 ms) ====== [2026-01-18T08:50:43.914Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T08:50:44.351Z] GC before operation: completed in 236.696 ms, heap usage 226.710 MB -> 94.208 MB. [2026-01-18T08:50:54.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:51:01.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:51:09.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:51:14.596Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:51:19.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:51:22.874Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:51:27.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:51:31.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:51:31.516Z] 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. [2026-01-18T08:51:31.516Z] The best model improves the baseline by 14.52%. [2026-01-18T08:51:32.427Z] Top recommended movies for user id 72: [2026-01-18T08:51:32.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:51:32.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:51:32.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:51:32.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:51:32.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:51:32.427Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47851.234 ms) ====== [2026-01-18T08:51:32.427Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T08:51:32.427Z] GC before operation: completed in 122.052 ms, heap usage 221.491 MB -> 87.791 MB. [2026-01-18T08:51:40.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:51:47.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:51:53.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:52:02.377Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:52:06.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:52:10.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:52:13.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:52:16.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:52:17.545Z] 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. [2026-01-18T08:52:17.545Z] The best model improves the baseline by 14.52%. [2026-01-18T08:52:17.987Z] Top recommended movies for user id 72: [2026-01-18T08:52:17.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:52:17.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:52:17.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:52:17.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:52:17.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:52:17.987Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45459.288 ms) ====== [2026-01-18T08:52:17.987Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T08:52:17.987Z] GC before operation: completed in 267.805 ms, heap usage 1.281 GB -> 94.455 MB. [2026-01-18T08:52:26.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:52:30.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:52:39.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:52:44.940Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:52:48.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:52:52.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:52:58.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:53:03.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:53:03.090Z] 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. [2026-01-18T08:53:03.090Z] The best model improves the baseline by 14.52%. [2026-01-18T08:53:03.529Z] Top recommended movies for user id 72: [2026-01-18T08:53:03.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:53:03.529Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:53:03.529Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:53:03.529Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:53:03.529Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:53:03.529Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45607.354 ms) ====== [2026-01-18T08:53:03.529Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T08:53:04.026Z] GC before operation: completed in 202.312 ms, heap usage 141.181 MB -> 92.509 MB. [2026-01-18T08:53:14.348Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:53:23.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:53:32.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:53:41.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:53:45.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:53:50.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:53:53.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:53:57.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:53:58.230Z] 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. [2026-01-18T08:53:58.230Z] The best model improves the baseline by 14.52%. [2026-01-18T08:53:58.230Z] Top recommended movies for user id 72: [2026-01-18T08:53:58.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:53:58.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:53:58.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:53:58.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:53:58.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:53:58.230Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54412.654 ms) ====== [2026-01-18T08:53:58.230Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T08:53:58.230Z] GC before operation: completed in 128.724 ms, heap usage 266.428 MB -> 88.859 MB. [2026-01-18T08:54:06.813Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:54:13.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:54:19.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:54:28.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:54:31.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:54:35.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:54:41.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:54:47.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:54:47.960Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-18T08:54:48.404Z] The best model improves the baseline by 14.52%. [2026-01-18T08:54:48.805Z] Top recommended movies for user id 72: [2026-01-18T08:54:48.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:54:48.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:54:48.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:54:48.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:54:48.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:54:48.805Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50243.197 ms) ====== [2026-01-18T08:54:48.805Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T08:54:48.805Z] GC before operation: completed in 252.695 ms, heap usage 229.312 MB -> 89.234 MB. [2026-01-18T08:54:59.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:55:08.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:55:18.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:55:27.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:55:32.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:55:38.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:55:42.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:55:47.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:55:47.994Z] 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. [2026-01-18T08:55:47.994Z] The best model improves the baseline by 14.52%. [2026-01-18T08:55:48.534Z] Top recommended movies for user id 72: [2026-01-18T08:55:48.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:55:48.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:55:48.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:55:48.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:55:48.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:55:48.534Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (59285.215 ms) ====== [2026-01-18T08:55:48.534Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T08:55:48.534Z] GC before operation: completed in 136.974 ms, heap usage 346.631 MB -> 89.265 MB. [2026-01-18T08:55:57.114Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:56:05.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:56:16.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:56:22.362Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:56:25.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:56:30.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:56:33.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:56:37.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:56:37.629Z] 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. [2026-01-18T08:56:37.629Z] The best model improves the baseline by 14.52%. [2026-01-18T08:56:38.655Z] Top recommended movies for user id 72: [2026-01-18T08:56:38.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:56:38.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:56:38.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:56:38.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:56:38.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:56:38.655Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50314.313 ms) ====== [2026-01-18T08:56:38.655Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T08:56:38.655Z] GC before operation: completed in 189.112 ms, heap usage 215.922 MB -> 90.025 MB. [2026-01-18T08:56:46.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:56:52.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:56:59.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:57:06.479Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:57:09.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:57:14.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:57:17.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:57:22.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:57:22.086Z] 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. [2026-01-18T08:57:22.086Z] The best model improves the baseline by 14.52%. [2026-01-18T08:57:22.086Z] Top recommended movies for user id 72: [2026-01-18T08:57:22.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:57:22.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:57:22.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:57:22.086Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:57:22.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:57:22.086Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43278.748 ms) ====== [2026-01-18T08:57:22.086Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T08:57:22.086Z] GC before operation: completed in 118.536 ms, heap usage 126.712 MB -> 89.162 MB. [2026-01-18T08:57:28.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:57:33.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:57:38.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:57:44.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:57:47.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:57:51.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:57:53.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:57:57.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:57:57.386Z] 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. [2026-01-18T08:57:57.386Z] The best model improves the baseline by 14.52%. [2026-01-18T08:57:57.386Z] Top recommended movies for user id 72: [2026-01-18T08:57:57.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:57:57.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:57:57.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:57:57.386Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:57:57.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:57:57.386Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35340.094 ms) ====== [2026-01-18T08:57:57.386Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T08:57:57.781Z] GC before operation: completed in 97.252 ms, heap usage 194.554 MB -> 89.456 MB. [2026-01-18T08:58:03.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:58:10.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:58:15.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:58:21.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:58:24.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:58:28.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:58:32.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:58:34.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:58:35.407Z] 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. [2026-01-18T08:58:35.407Z] The best model improves the baseline by 14.52%. [2026-01-18T08:58:35.407Z] Top recommended movies for user id 72: [2026-01-18T08:58:35.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:58:35.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:58:35.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:58:35.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:58:35.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:58:35.407Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37768.989 ms) ====== [2026-01-18T08:58:35.407Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T08:58:35.828Z] GC before operation: completed in 159.476 ms, heap usage 296.598 MB -> 89.168 MB. [2026-01-18T08:58:42.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:58:48.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:58:52.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:58:56.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:58:58.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:59:00.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:59:02.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:59:05.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:59:05.833Z] 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. [2026-01-18T08:59:05.833Z] The best model improves the baseline by 14.52%. [2026-01-18T08:59:05.833Z] Top recommended movies for user id 72: [2026-01-18T08:59:05.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:59:05.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:59:05.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:59:05.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:59:05.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:59:05.833Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30179.274 ms) ====== [2026-01-18T08:59:05.833Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T08:59:06.854Z] GC before operation: completed in 810.227 ms, heap usage 613.959 MB -> 93.072 MB. [2026-01-18T08:59:11.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:59:15.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:59:19.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T08:59:24.383Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T08:59:27.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T08:59:31.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T08:59:35.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T08:59:40.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T08:59:41.070Z] 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. [2026-01-18T08:59:41.070Z] The best model improves the baseline by 14.52%. [2026-01-18T08:59:41.070Z] Top recommended movies for user id 72: [2026-01-18T08:59:41.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T08:59:41.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T08:59:41.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T08:59:41.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T08:59:41.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T08:59:41.070Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (34486.948 ms) ====== [2026-01-18T08:59:41.070Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T08:59:41.070Z] GC before operation: completed in 142.873 ms, heap usage 449.403 MB -> 89.803 MB. [2026-01-18T08:59:49.667Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T08:59:54.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T08:59:59.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:00:05.437Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:00:09.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:00:12.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:00:16.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:00:19.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:00:19.825Z] 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. [2026-01-18T09:00:19.825Z] The best model improves the baseline by 14.52%. [2026-01-18T09:00:19.825Z] Top recommended movies for user id 72: [2026-01-18T09:00:19.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:00:19.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:00:19.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:00:19.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:00:19.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:00:19.825Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38726.043 ms) ====== [2026-01-18T09:00:19.825Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T09:00:20.258Z] GC before operation: completed in 106.293 ms, heap usage 329.767 MB -> 89.328 MB. [2026-01-18T09:00:25.776Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:00:31.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:00:35.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:00:44.088Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:00:46.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:00:49.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:00:52.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:00:55.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:00:55.351Z] 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. [2026-01-18T09:00:55.351Z] The best model improves the baseline by 14.52%. [2026-01-18T09:00:55.351Z] Top recommended movies for user id 72: [2026-01-18T09:00:55.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:00:55.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:00:55.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:00:55.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:00:55.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:00:55.351Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35360.454 ms) ====== [2026-01-18T09:00:55.351Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T09:00:55.796Z] GC before operation: completed in 128.954 ms, heap usage 354.405 MB -> 89.785 MB. [2026-01-18T09:01:01.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:01:05.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:01:11.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:01:16.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:01:18.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:01:21.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:01:24.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:01:27.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:01:28.039Z] 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. [2026-01-18T09:01:28.039Z] The best model improves the baseline by 14.52%. [2026-01-18T09:01:28.457Z] Top recommended movies for user id 72: [2026-01-18T09:01:28.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:01:28.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:01:28.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:01:28.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:01:28.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:01:28.457Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32734.448 ms) ====== [2026-01-18T09:01:28.457Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T09:01:28.457Z] GC before operation: completed in 104.080 ms, heap usage 273.726 MB -> 89.361 MB. [2026-01-18T09:01:35.488Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:01:42.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:01:49.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:01:54.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:01:58.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:02:02.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:02:05.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:02:09.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:02:09.574Z] 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. [2026-01-18T09:02:10.089Z] The best model improves the baseline by 14.52%. [2026-01-18T09:02:10.484Z] Top recommended movies for user id 72: [2026-01-18T09:02:10.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:02:10.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:02:10.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:02:10.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:02:10.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:02:10.484Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42086.430 ms) ====== [2026-01-18T09:02:10.485Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T09:02:10.485Z] GC before operation: completed in 108.076 ms, heap usage 351.045 MB -> 89.649 MB. [2026-01-18T09:02:17.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:02:24.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:02:31.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:02:36.963Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:02:41.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:02:45.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:02:49.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:02:54.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:02:54.358Z] 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. [2026-01-18T09:02:54.833Z] The best model improves the baseline by 14.52%. [2026-01-18T09:02:54.833Z] Top recommended movies for user id 72: [2026-01-18T09:02:54.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:02:54.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:02:54.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:02:54.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:02:54.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:02:54.833Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44168.943 ms) ====== [2026-01-18T09:02:54.833Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T09:02:55.270Z] GC before operation: completed in 257.850 ms, heap usage 809.064 MB -> 93.378 MB. [2026-01-18T09:03:05.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:03:16.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:03:26.773Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:03:35.206Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:03:39.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:03:42.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:03:48.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:03:52.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:03:52.745Z] 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. [2026-01-18T09:03:52.745Z] The best model improves the baseline by 14.52%. [2026-01-18T09:03:52.745Z] Top recommended movies for user id 72: [2026-01-18T09:03:52.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:03:52.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:03:52.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:03:52.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:03:52.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:03:52.745Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (57689.698 ms) ====== [2026-01-18T09:03:52.745Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T09:03:53.203Z] GC before operation: completed in 229.852 ms, heap usage 1.624 GB -> 95.560 MB. [2026-01-18T09:04:00.185Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T09:04:08.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T09:04:14.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T09:04:19.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T09:04:21.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T09:04:24.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T09:04:27.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T09:04:32.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T09:04:32.566Z] 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. [2026-01-18T09:04:32.566Z] The best model improves the baseline by 14.52%. [2026-01-18T09:04:32.979Z] Top recommended movies for user id 72: [2026-01-18T09:04:32.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T09:04:32.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T09:04:32.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T09:04:32.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T09:04:32.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T09:04:32.979Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (39909.906 ms) ====== [2026-01-18T09:04:35.020Z] ----------------------------------- [2026-01-18T09:04:35.020Z] renaissance-movie-lens_0_PASSED [2026-01-18T09:04:35.020Z] ----------------------------------- [2026-01-18T09:04:35.020Z] [2026-01-18T09:04:35.020Z] TEST TEARDOWN: [2026-01-18T09:04:35.020Z] Nothing to be done for teardown. [2026-01-18T09:04:35.020Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 04:04:34 2026 Epoch Time (ms): 1768727074899