[2026-01-17T13:49:28.575Z] Running test renaissance-movie-lens_0 ... [2026-01-17T13:49:28.575Z] =============================================== [2026-01-17T13:49:28.575Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:49:28 2026 Epoch Time (ms): 1768657768028 [2026-01-17T13:49:28.575Z] variation: NoOptions [2026-01-17T13:49:28.575Z] JVM_OPTIONS: [2026-01-17T13:49:28.575Z] { \ [2026-01-17T13:49:28.575Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T13:49:28.575Z] echo "Nothing to be done for setup."; \ [2026-01-17T13:49:28.575Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17686563945539/renaissance-movie-lens_0"; \ [2026-01-17T13:49:28.575Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17686563945539/renaissance-movie-lens_0"; \ [2026-01-17T13:49:28.575Z] echo ""; echo "TESTING:"; \ [2026-01-17T13:49:28.575Z] "/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_17686563945539/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T13:49:28.575Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17686563945539/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T13:49:28.575Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T13:49:28.575Z] echo "Nothing to be done for teardown."; \ [2026-01-17T13:49:28.575Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17686563945539/TestTargetResult"; [2026-01-17T13:49:28.575Z] [2026-01-17T13:49:28.575Z] TEST SETUP: [2026-01-17T13:49:28.575Z] Nothing to be done for setup. [2026-01-17T13:49:28.575Z] [2026-01-17T13:49:28.575Z] TESTING: [2026-01-17T13:49:29.368Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T13:49:29.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17686563945539/renaissance-movie-lens_0/launcher-134928-11193014201605451780/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T13:49:29.368Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T13:49:29.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T13:49:37.783Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-17T13:49:51.743Z] 13:49:51.018 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-17T13:49:55.324Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T13:49:56.110Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T13:49:56.110Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T13:49:56.894Z] GC before operation: completed in 319.640 ms, heap usage 262.909 MB -> 75.711 MB. [2026-01-17T13:50:13.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:50:21.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:50:29.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:50:36.232Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:50:40.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:50:45.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:50:49.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:50:53.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:50:54.063Z] 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. [2026-01-17T13:50:54.063Z] The best model improves the baseline by 14.52%. [2026-01-17T13:50:54.841Z] Top recommended movies for user id 72: [2026-01-17T13:50:54.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:50:54.841Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:50:54.841Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:50:54.841Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:50:54.841Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:50:54.841Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57844.542 ms) ====== [2026-01-17T13:50:54.841Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T13:50:54.841Z] GC before operation: completed in 308.110 ms, heap usage 97.422 MB -> 86.449 MB. [2026-01-17T13:51:01.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:07.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:51:14.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:51:20.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:51:23.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:51:27.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:51:31.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:51:35.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:51:35.194Z] 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. [2026-01-17T13:51:35.194Z] The best model improves the baseline by 14.52%. [2026-01-17T13:51:35.981Z] Top recommended movies for user id 72: [2026-01-17T13:51:35.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:51:35.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:51:35.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:51:35.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:51:35.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:51:35.981Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40860.080 ms) ====== [2026-01-17T13:51:35.981Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T13:51:35.981Z] GC before operation: completed in 247.951 ms, heap usage 250.902 MB -> 88.543 MB. [2026-01-17T13:51:41.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:48.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:51:54.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:00.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:02.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:06.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:09.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:12.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:13.216Z] 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. [2026-01-17T13:52:13.216Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:13.216Z] Top recommended movies for user id 72: [2026-01-17T13:52:13.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:13.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:13.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:13.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:13.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:13.216Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37488.074 ms) ====== [2026-01-17T13:52:13.216Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T13:52:13.996Z] GC before operation: completed in 257.683 ms, heap usage 747.555 MB -> 93.057 MB. [2026-01-17T13:52:19.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:52:25.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:52:30.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:36.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:39.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:44.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:46.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:50.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:51.000Z] 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. [2026-01-17T13:52:51.000Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:51.000Z] Top recommended movies for user id 72: [2026-01-17T13:52:51.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:51.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:51.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:51.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:51.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:51.000Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37390.319 ms) ====== [2026-01-17T13:52:51.000Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T13:52:51.776Z] GC before operation: completed in 228.735 ms, heap usage 203.652 MB -> 89.473 MB. [2026-01-17T13:52:57.441Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:01.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:07.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:13.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:15.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:19.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:22.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:25.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:25.810Z] 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. [2026-01-17T13:53:25.810Z] The best model improves the baseline by 14.52%. [2026-01-17T13:53:25.810Z] Top recommended movies for user id 72: [2026-01-17T13:53:25.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:53:25.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:53:25.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:53:25.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:53:25.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:53:25.810Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34672.563 ms) ====== [2026-01-17T13:53:25.810Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T13:53:26.594Z] GC before operation: completed in 328.684 ms, heap usage 495.574 MB -> 89.766 MB. [2026-01-17T13:53:32.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:36.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:42.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:46.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:49.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:52.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:56.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:59.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:59.833Z] 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. [2026-01-17T13:53:59.833Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:00.614Z] Top recommended movies for user id 72: [2026-01-17T13:54:00.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:00.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:00.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:00.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:00.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:00.614Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33939.615 ms) ====== [2026-01-17T13:54:00.614Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T13:54:00.614Z] GC before operation: completed in 271.522 ms, heap usage 117.124 MB -> 89.623 MB. [2026-01-17T13:54:06.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:11.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:16.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:22.491Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:54:25.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:54:28.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:54:31.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:54:35.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:54:35.423Z] 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. [2026-01-17T13:54:35.423Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:36.203Z] Top recommended movies for user id 72: [2026-01-17T13:54:36.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:36.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:36.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:36.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:36.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:36.204Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35418.576 ms) ====== [2026-01-17T13:54:36.204Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T13:54:36.204Z] GC before operation: completed in 238.834 ms, heap usage 99.394 MB -> 92.938 MB. [2026-01-17T13:54:41.851Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:47.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:53.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:57.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:55:01.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:55:04.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:55:08.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:55:11.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:55:11.773Z] 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. [2026-01-17T13:55:11.773Z] The best model improves the baseline by 14.52%. [2026-01-17T13:55:11.773Z] Top recommended movies for user id 72: [2026-01-17T13:55:11.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:55:11.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:55:11.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:55:11.773Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:55:11.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:55:11.773Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35737.748 ms) ====== [2026-01-17T13:55:11.773Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T13:55:12.558Z] GC before operation: completed in 237.781 ms, heap usage 101.344 MB -> 92.609 MB. [2026-01-17T13:55:18.206Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:55:22.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:55:28.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:55:34.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:55:37.452Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:55:39.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:55:42.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:55:45.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:55:46.255Z] 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. [2026-01-17T13:55:46.255Z] The best model improves the baseline by 14.52%. [2026-01-17T13:55:46.255Z] Top recommended movies for user id 72: [2026-01-17T13:55:46.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:55:46.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:55:46.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:55:46.255Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:55:46.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:55:46.255Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34057.800 ms) ====== [2026-01-17T13:55:46.255Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T13:55:47.031Z] GC before operation: completed in 240.723 ms, heap usage 101.525 MB -> 89.519 MB. [2026-01-17T13:55:51.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:55:56.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:56:00.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:56:06.260Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:56:08.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:56:12.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:56:14.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:56:17.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:56:17.973Z] 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. [2026-01-17T13:56:17.973Z] The best model improves the baseline by 14.52%. [2026-01-17T13:56:17.973Z] Top recommended movies for user id 72: [2026-01-17T13:56:17.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:56:17.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:56:17.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:56:17.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:56:17.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:56:17.973Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31647.680 ms) ====== [2026-01-17T13:56:17.973Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T13:56:18.756Z] GC before operation: completed in 273.486 ms, heap usage 461.436 MB -> 90.308 MB. [2026-01-17T13:56:24.392Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:56:29.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:56:34.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:56:39.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:56:41.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:56:44.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:56:47.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:56:51.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:56:51.325Z] 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. [2026-01-17T13:56:52.104Z] The best model improves the baseline by 14.52%. [2026-01-17T13:56:52.104Z] Top recommended movies for user id 72: [2026-01-17T13:56:52.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:56:52.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:56:52.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:56:52.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:56:52.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:56:52.104Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33502.738 ms) ====== [2026-01-17T13:56:52.104Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T13:56:52.104Z] GC before operation: completed in 295.709 ms, heap usage 451.353 MB -> 89.963 MB. [2026-01-17T13:56:57.792Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:57:02.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:57:07.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:57:11.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:57:15.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:57:17.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:57:21.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:57:23.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:57:24.730Z] 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. [2026-01-17T13:57:24.730Z] The best model improves the baseline by 14.52%. [2026-01-17T13:57:24.730Z] Top recommended movies for user id 72: [2026-01-17T13:57:24.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:57:24.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:57:24.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:57:24.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:57:24.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:57:24.730Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32691.599 ms) ====== [2026-01-17T13:57:24.730Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T13:57:25.507Z] GC before operation: completed in 215.216 ms, heap usage 160.121 MB -> 89.852 MB. [2026-01-17T13:57:30.019Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:57:35.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:57:41.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:57:46.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:57:51.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:57:56.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:58:01.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:58:04.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:58:04.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T13:58:04.770Z] The best model improves the baseline by 14.52%. [2026-01-17T13:58:04.770Z] Top recommended movies for user id 72: [2026-01-17T13:58:04.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:58:04.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:58:04.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:58:04.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:58:04.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:58:04.770Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (39713.670 ms) ====== [2026-01-17T13:58:04.770Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T13:58:05.534Z] GC before operation: completed in 288.726 ms, heap usage 494.813 MB -> 90.381 MB. [2026-01-17T13:58:09.986Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:58:15.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:58:21.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:58:25.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:58:28.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:58:31.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:58:34.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:58:37.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:58:38.161Z] 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. [2026-01-17T13:58:38.161Z] The best model improves the baseline by 14.52%. [2026-01-17T13:58:38.161Z] Top recommended movies for user id 72: [2026-01-17T13:58:38.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:58:38.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:58:38.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:58:38.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:58:38.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:58:38.161Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33173.330 ms) ====== [2026-01-17T13:58:38.161Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T13:58:38.932Z] GC before operation: completed in 222.527 ms, heap usage 427.822 MB -> 90.154 MB. [2026-01-17T13:58:43.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:58:48.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:58:53.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:58:58.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:59:01.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:59:04.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:59:07.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:59:10.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:59:10.943Z] 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. [2026-01-17T13:59:10.943Z] The best model improves the baseline by 14.52%. [2026-01-17T13:59:10.943Z] Top recommended movies for user id 72: [2026-01-17T13:59:10.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:59:10.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:59:10.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:59:10.943Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:59:10.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:59:10.943Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (32571.390 ms) ====== [2026-01-17T13:59:10.943Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T13:59:11.711Z] GC before operation: completed in 252.851 ms, heap usage 372.154 MB -> 90.271 MB. [2026-01-17T13:59:17.302Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:59:21.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:59:26.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:59:31.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:59:34.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:59:36.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:59:40.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:59:42.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:59:43.590Z] 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. [2026-01-17T13:59:43.590Z] The best model improves the baseline by 14.52%. [2026-01-17T13:59:43.590Z] Top recommended movies for user id 72: [2026-01-17T13:59:43.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:59:43.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:59:43.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:59:43.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:59:43.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:59:43.590Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32323.855 ms) ====== [2026-01-17T13:59:43.590Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T13:59:44.352Z] GC before operation: completed in 276.588 ms, heap usage 438.978 MB -> 90.224 MB. [2026-01-17T13:59:48.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:59:54.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:59:58.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:00:04.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:00:06.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:00:09.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:00:13.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:00:16.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:00:16.716Z] 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. [2026-01-17T14:00:16.716Z] The best model improves the baseline by 14.52%. [2026-01-17T14:00:17.483Z] Top recommended movies for user id 72: [2026-01-17T14:00:17.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T14:00:17.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T14:00:17.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T14:00:17.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T14:00:17.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T14:00:17.483Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33055.942 ms) ====== [2026-01-17T14:00:17.483Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T14:00:17.483Z] GC before operation: completed in 214.149 ms, heap usage 121.929 MB -> 89.854 MB. [2026-01-17T14:00:23.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:00:27.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:00:33.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:00:37.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:00:40.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:00:43.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:00:45.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:00:48.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:00:49.170Z] 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. [2026-01-17T14:00:49.170Z] The best model improves the baseline by 14.52%. [2026-01-17T14:00:49.170Z] Top recommended movies for user id 72: [2026-01-17T14:00:49.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T14:00:49.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T14:00:49.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T14:00:49.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T14:00:49.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T14:00:49.170Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (31983.143 ms) ====== [2026-01-17T14:00:49.170Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T14:00:49.942Z] GC before operation: completed in 269.069 ms, heap usage 173.290 MB -> 89.804 MB. [2026-01-17T14:00:54.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:01:00.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:01:05.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:01:09.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:01:12.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:01:15.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:01:18.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:01:21.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:01:21.276Z] 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. [2026-01-17T14:01:22.039Z] The best model improves the baseline by 14.52%. [2026-01-17T14:01:22.039Z] Top recommended movies for user id 72: [2026-01-17T14:01:22.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T14:01:22.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T14:01:22.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T14:01:22.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T14:01:22.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T14:01:22.039Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (32345.154 ms) ====== [2026-01-17T14:01:22.039Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T14:01:22.039Z] GC before operation: completed in 304.526 ms, heap usage 107.781 MB -> 89.804 MB. [2026-01-17T14:01:26.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:01:32.041Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:01:37.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:01:40.580Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:01:43.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:01:46.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:01:50.001Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:01:52.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:01:53.220Z] 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. [2026-01-17T14:01:53.220Z] The best model improves the baseline by 14.52%. [2026-01-17T14:01:53.220Z] Top recommended movies for user id 72: [2026-01-17T14:01:53.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T14:01:53.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T14:01:53.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T14:01:53.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T14:01:53.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T14:01:53.220Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31323.818 ms) ====== [2026-01-17T14:01:53.984Z] ----------------------------------- [2026-01-17T14:01:53.984Z] renaissance-movie-lens_0_PASSED [2026-01-17T14:01:53.984Z] ----------------------------------- [2026-01-17T14:01:53.984Z] [2026-01-17T14:01:53.984Z] TEST TEARDOWN: [2026-01-17T14:01:53.984Z] Nothing to be done for teardown. [2026-01-17T14:01:53.984Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 14:01:53 2026 Epoch Time (ms): 1768658513919