[2026-01-24T14:50:01.382Z] Running test renaissance-movie-lens_0 ... [2026-01-24T14:50:01.382Z] =============================================== [2026-01-24T14:50:01.382Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:50:01 2026 Epoch Time (ms): 1769266201097 [2026-01-24T14:50:01.382Z] variation: NoOptions [2026-01-24T14:50:01.382Z] JVM_OPTIONS: [2026-01-24T14:50:01.382Z] { \ [2026-01-24T14:50:01.382Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T14:50:01.382Z] echo "Nothing to be done for setup."; \ [2026-01-24T14:50:01.382Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692649899272/renaissance-movie-lens_0"; \ [2026-01-24T14:50:01.382Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692649899272/renaissance-movie-lens_0"; \ [2026-01-24T14:50:01.382Z] echo ""; echo "TESTING:"; \ [2026-01-24T14:50:01.382Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692649899272/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T14:50:01.382Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692649899272/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T14:50:01.382Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T14:50:01.382Z] echo "Nothing to be done for teardown."; \ [2026-01-24T14:50:01.382Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17692649899272/TestTargetResult"; [2026-01-24T14:50:01.382Z] [2026-01-24T14:50:01.382Z] TEST SETUP: [2026-01-24T14:50:01.382Z] Nothing to be done for setup. [2026-01-24T14:50:01.382Z] [2026-01-24T14:50:01.382Z] TESTING: [2026-01-24T14:50:01.764Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T14:50:01.764Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17692649899272/renaissance-movie-lens_0/launcher-145001-4300441117045086479/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T14:50:01.764Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T14:50:01.764Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T14:50:06.672Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-24T14:50:15.692Z] 14:50:14.086 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T14:50:17.403Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T14:50:18.128Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T14:50:18.128Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T14:50:18.475Z] GC before operation: completed in 172.777 ms, heap usage 159.755 MB -> 75.306 MB. [2026-01-24T14:50:27.529Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:50:33.583Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:50:36.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:50:40.595Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:50:42.906Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:50:44.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:50:46.314Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:50:48.043Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:50:48.384Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:50:48.384Z] The best model improves the baseline by 14.34%. [2026-01-24T14:50:48.723Z] Top recommended movies for user id 72: [2026-01-24T14:50:48.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:50:48.723Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:50:48.723Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:50:48.723Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:50:48.723Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:50:48.723Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30329.749 ms) ====== [2026-01-24T14:50:48.723Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T14:50:49.065Z] GC before operation: completed in 185.293 ms, heap usage 149.056 MB -> 89.882 MB. [2026-01-24T14:50:52.098Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:50:54.411Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:50:57.436Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:51:00.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:51:01.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:51:03.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:51:05.062Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:51:06.766Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:51:06.766Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:51:06.766Z] The best model improves the baseline by 14.34%. [2026-01-24T14:51:07.108Z] Top recommended movies for user id 72: [2026-01-24T14:51:07.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:51:07.108Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:51:07.108Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:51:07.108Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:51:07.108Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:51:07.108Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18149.849 ms) ====== [2026-01-24T14:51:07.108Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T14:51:07.108Z] GC before operation: completed in 172.105 ms, heap usage 314.526 MB -> 87.574 MB. [2026-01-24T14:51:10.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:51:13.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:51:16.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:51:18.523Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:51:19.707Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:51:21.415Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:51:23.117Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:51:24.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:51:24.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:51:25.255Z] The best model improves the baseline by 14.34%. [2026-01-24T14:51:25.255Z] Top recommended movies for user id 72: [2026-01-24T14:51:25.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:51:25.255Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:51:25.255Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:51:25.255Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:51:25.255Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:51:25.255Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17964.387 ms) ====== [2026-01-24T14:51:25.255Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T14:51:25.255Z] GC before operation: completed in 184.218 ms, heap usage 204.272 MB -> 87.955 MB. [2026-01-24T14:51:28.275Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:51:30.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:51:33.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:51:35.938Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:51:37.634Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:51:38.832Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:51:40.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:51:42.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:51:42.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:51:42.230Z] The best model improves the baseline by 14.34%. [2026-01-24T14:51:42.230Z] Top recommended movies for user id 72: [2026-01-24T14:51:42.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:51:42.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:51:42.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:51:42.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:51:42.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:51:42.231Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16952.176 ms) ====== [2026-01-24T14:51:42.231Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T14:51:42.575Z] GC before operation: completed in 188.668 ms, heap usage 602.967 MB -> 92.141 MB. [2026-01-24T14:51:45.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:51:47.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:51:50.369Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:51:52.676Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:51:54.383Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:51:55.561Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:51:57.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:51:58.971Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:51:58.971Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:51:59.315Z] The best model improves the baseline by 14.34%. [2026-01-24T14:51:59.315Z] Top recommended movies for user id 72: [2026-01-24T14:51:59.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:51:59.315Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:51:59.315Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:51:59.315Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:51:59.315Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:51:59.315Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16764.680 ms) ====== [2026-01-24T14:51:59.315Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T14:51:59.315Z] GC before operation: completed in 177.276 ms, heap usage 510.509 MB -> 91.934 MB. [2026-01-24T14:52:02.380Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:52:04.695Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:52:07.749Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:52:09.447Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:52:11.145Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:52:12.843Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:52:14.566Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:52:15.747Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:52:16.089Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:52:16.089Z] The best model improves the baseline by 14.34%. [2026-01-24T14:52:16.089Z] Top recommended movies for user id 72: [2026-01-24T14:52:16.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:52:16.089Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:52:16.089Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:52:16.089Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:52:16.089Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:52:16.089Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16758.388 ms) ====== [2026-01-24T14:52:16.089Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T14:52:16.428Z] GC before operation: completed in 161.411 ms, heap usage 186.587 MB -> 88.509 MB. [2026-01-24T14:52:18.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:52:21.048Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:52:24.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:52:26.385Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:52:28.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:52:29.799Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:52:31.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:52:32.682Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:52:33.025Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:52:33.025Z] The best model improves the baseline by 14.34%. [2026-01-24T14:52:33.025Z] Top recommended movies for user id 72: [2026-01-24T14:52:33.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:52:33.025Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:52:33.025Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:52:33.025Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:52:33.025Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:52:33.025Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16705.985 ms) ====== [2026-01-24T14:52:33.025Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T14:52:33.365Z] GC before operation: completed in 173.444 ms, heap usage 560.436 MB -> 92.297 MB. [2026-01-24T14:52:35.674Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:52:37.985Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:52:41.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:52:42.902Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:52:44.603Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:52:45.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:52:47.488Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:52:48.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:52:49.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:52:49.016Z] The best model improves the baseline by 14.34%. [2026-01-24T14:52:49.016Z] Top recommended movies for user id 72: [2026-01-24T14:52:49.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:52:49.017Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:52:49.017Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:52:49.017Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:52:49.017Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:52:49.017Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15906.338 ms) ====== [2026-01-24T14:52:49.017Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T14:52:49.358Z] GC before operation: completed in 160.765 ms, heap usage 416.759 MB -> 89.152 MB. [2026-01-24T14:52:51.674Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:52:53.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:52:56.432Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:52:58.738Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:53:00.441Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:53:01.625Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:53:03.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:53:04.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:53:04.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:53:04.939Z] The best model improves the baseline by 14.34%. [2026-01-24T14:53:04.939Z] Top recommended movies for user id 72: [2026-01-24T14:53:04.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:53:04.939Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:53:04.939Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:53:04.939Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:53:04.939Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:53:04.939Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15715.299 ms) ====== [2026-01-24T14:53:04.939Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T14:53:05.281Z] GC before operation: completed in 163.327 ms, heap usage 117.396 MB -> 90.146 MB. [2026-01-24T14:53:07.588Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:53:09.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:53:12.206Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:53:14.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:53:16.231Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:53:17.412Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:53:18.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:53:20.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:53:20.296Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:53:20.296Z] The best model improves the baseline by 14.34%. [2026-01-24T14:53:20.639Z] Top recommended movies for user id 72: [2026-01-24T14:53:20.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:53:20.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:53:20.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:53:20.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:53:20.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:53:20.639Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15252.922 ms) ====== [2026-01-24T14:53:20.639Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T14:53:20.639Z] GC before operation: completed in 171.500 ms, heap usage 565.331 MB -> 92.560 MB. [2026-01-24T14:53:22.950Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:53:25.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:53:28.313Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:53:30.017Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:53:31.725Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:53:32.907Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:53:34.607Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:53:35.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:53:36.136Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:53:36.136Z] The best model improves the baseline by 14.34%. [2026-01-24T14:53:36.483Z] Top recommended movies for user id 72: [2026-01-24T14:53:36.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:53:36.483Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:53:36.483Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:53:36.483Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:53:36.483Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:53:36.483Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15700.097 ms) ====== [2026-01-24T14:53:36.483Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T14:53:36.483Z] GC before operation: completed in 157.031 ms, heap usage 447.653 MB -> 88.987 MB. [2026-01-24T14:53:39.509Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:53:41.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:53:43.518Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:53:45.824Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:53:47.529Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:53:48.710Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:53:50.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:53:51.682Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:53:52.024Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:53:52.024Z] The best model improves the baseline by 14.34%. [2026-01-24T14:53:52.024Z] Top recommended movies for user id 72: [2026-01-24T14:53:52.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:53:52.024Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:53:52.024Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:53:52.024Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:53:52.024Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:53:52.024Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15517.388 ms) ====== [2026-01-24T14:53:52.024Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T14:53:52.024Z] GC before operation: completed in 159.904 ms, heap usage 394.058 MB -> 89.032 MB. [2026-01-24T14:53:55.052Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:53:56.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:53:59.777Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:01.475Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:03.179Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:04.355Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:05.532Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:54:07.233Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:54:07.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:54:07.572Z] The best model improves the baseline by 14.34%. [2026-01-24T14:54:07.919Z] Top recommended movies for user id 72: [2026-01-24T14:54:07.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:54:07.919Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:54:07.919Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:54:07.919Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:54:07.919Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:54:07.919Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15604.377 ms) ====== [2026-01-24T14:54:07.919Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T14:54:07.919Z] GC before operation: completed in 155.267 ms, heap usage 218.905 MB -> 88.982 MB. [2026-01-24T14:54:10.239Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:54:13.264Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:54:15.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:17.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:19.057Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:20.237Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:21.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:54:23.119Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:54:23.119Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:54:23.464Z] The best model improves the baseline by 14.34%. [2026-01-24T14:54:23.464Z] Top recommended movies for user id 72: [2026-01-24T14:54:23.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:54:23.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:54:23.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:54:23.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:54:23.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:54:23.464Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15515.040 ms) ====== [2026-01-24T14:54:23.464Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T14:54:23.464Z] GC before operation: completed in 161.301 ms, heap usage 226.726 MB -> 88.764 MB. [2026-01-24T14:54:26.481Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:54:28.790Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:54:31.105Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:32.804Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:34.509Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:35.693Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:37.392Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:54:38.578Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:54:38.579Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:54:38.920Z] The best model improves the baseline by 14.34%. [2026-01-24T14:54:38.920Z] Top recommended movies for user id 72: [2026-01-24T14:54:38.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:54:38.920Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:54:38.920Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:54:38.920Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:54:38.920Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:54:38.920Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15290.498 ms) ====== [2026-01-24T14:54:38.920Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T14:54:38.920Z] GC before operation: completed in 161.202 ms, heap usage 146.385 MB -> 88.958 MB. [2026-01-24T14:54:41.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:54:43.635Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:54:45.942Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:48.253Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:49.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:51.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:52.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:54:54.033Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:54:54.033Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:54:54.033Z] The best model improves the baseline by 14.34%. [2026-01-24T14:54:54.376Z] Top recommended movies for user id 72: [2026-01-24T14:54:54.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:54:54.376Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:54:54.376Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:54:54.376Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:54:54.376Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:54:54.376Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15241.809 ms) ====== [2026-01-24T14:54:54.376Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T14:54:54.376Z] GC before operation: completed in 163.798 ms, heap usage 207.453 MB -> 88.760 MB. [2026-01-24T14:54:56.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:54:59.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:02.025Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:55:03.741Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:55:04.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:55:06.174Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:55:07.866Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:09.039Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:09.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:55:09.378Z] The best model improves the baseline by 14.34%. [2026-01-24T14:55:09.725Z] Top recommended movies for user id 72: [2026-01-24T14:55:09.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:55:09.725Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:55:09.725Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:55:09.725Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:55:09.725Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:55:09.725Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15090.407 ms) ====== [2026-01-24T14:55:09.725Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T14:55:09.725Z] GC before operation: completed in 169.849 ms, heap usage 613.771 MB -> 92.862 MB. [2026-01-24T14:55:12.740Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:55:15.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:17.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:55:19.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:55:21.376Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:55:23.086Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:55:24.784Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:26.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:26.824Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:55:26.824Z] The best model improves the baseline by 14.34%. [2026-01-24T14:55:26.824Z] Top recommended movies for user id 72: [2026-01-24T14:55:26.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:55:26.824Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:55:26.824Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:55:26.824Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:55:26.824Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:55:26.824Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17187.910 ms) ====== [2026-01-24T14:55:26.824Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T14:55:27.163Z] GC before operation: completed in 158.511 ms, heap usage 311.171 MB -> 88.920 MB. [2026-01-24T14:55:29.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:55:31.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:34.176Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:55:36.486Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:55:37.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:55:39.364Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:55:40.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:42.246Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:42.246Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:55:42.246Z] The best model improves the baseline by 14.34%. [2026-01-24T14:55:42.246Z] Top recommended movies for user id 72: [2026-01-24T14:55:42.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:55:42.246Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:55:42.246Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:55:42.246Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:55:42.246Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:55:42.246Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15312.056 ms) ====== [2026-01-24T14:55:42.246Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T14:55:42.589Z] GC before operation: completed in 159.763 ms, heap usage 244.662 MB -> 88.884 MB. [2026-01-24T14:55:44.903Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:55:47.213Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:49.535Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:55:51.852Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:55:53.029Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:55:54.208Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:55:55.909Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:57.088Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:57.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-24T14:55:57.428Z] The best model improves the baseline by 14.34%. [2026-01-24T14:55:57.428Z] Top recommended movies for user id 72: [2026-01-24T14:55:57.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T14:55:57.428Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T14:55:57.428Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T14:55:57.428Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T14:55:57.428Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T14:55:57.428Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15014.688 ms) ====== [2026-01-24T14:55:58.156Z] ----------------------------------- [2026-01-24T14:55:58.156Z] renaissance-movie-lens_0_PASSED [2026-01-24T14:55:58.156Z] ----------------------------------- [2026-01-24T14:55:58.156Z] [2026-01-24T14:55:58.156Z] TEST TEARDOWN: [2026-01-24T14:55:58.156Z] Nothing to be done for teardown. [2026-01-24T14:55:58.156Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 14:55:57 2026 Epoch Time (ms): 1769266557792