[2025-12-27T13:42:55.765Z] Running test renaissance-movie-lens_0 ... [2025-12-27T13:42:55.765Z] =============================================== [2025-12-27T13:42:55.765Z] renaissance-movie-lens_0 Start Time: Sat Dec 27 05:42:55 2025 Epoch Time (ms): 1766842975428 [2025-12-27T13:42:56.178Z] variation: NoOptions [2025-12-27T13:42:56.178Z] JVM_OPTIONS: [2025-12-27T13:42:56.178Z] { \ [2025-12-27T13:42:56.178Z] echo ""; echo "TEST SETUP:"; \ [2025-12-27T13:42:56.178Z] echo "Nothing to be done for setup."; \ [2025-12-27T13:42:56.178Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17668407576591/renaissance-movie-lens_0"; \ [2025-12-27T13:42:56.178Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17668407576591/renaissance-movie-lens_0"; \ [2025-12-27T13:42:56.178Z] echo ""; echo "TESTING:"; \ [2025-12-27T13:42:56.178Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17668407576591/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-27T13:42:56.178Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17668407576591/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-27T13:42:56.178Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-27T13:42:56.178Z] echo "Nothing to be done for teardown."; \ [2025-12-27T13:42:56.178Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17668407576591/TestTargetResult"; [2025-12-27T13:42:56.178Z] [2025-12-27T13:42:56.178Z] TEST SETUP: [2025-12-27T13:42:56.178Z] Nothing to be done for setup. [2025-12-27T13:42:56.178Z] [2025-12-27T13:42:56.178Z] TESTING: [2025-12-27T13:42:57.038Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-27T13:42:57.039Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17668407576591/renaissance-movie-lens_0/launcher-054255-10582358462610628804/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-27T13:42:57.039Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-27T13:42:57.039Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-27T13:43:09.029Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-27T13:43:21.045Z] 05:43:20.238 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-27T13:43:23.805Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-27T13:43:24.216Z] Training: 60056, validation: 20285, test: 19854 [2025-12-27T13:43:24.216Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-27T13:43:24.216Z] GC before operation: completed in 144.437 ms, heap usage 354.208 MB -> 75.047 MB. [2025-12-27T13:43:39.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:43:49.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:44:00.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:44:12.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:44:19.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:44:27.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:44:33.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:44:39.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:44:40.364Z] 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. [2025-12-27T13:44:40.364Z] The best model improves the baseline by 14.52%. [2025-12-27T13:44:40.364Z] Top recommended movies for user id 72: [2025-12-27T13:44:40.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:44:40.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:44:40.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:44:40.364Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:44:40.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:44:40.824Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76266.945 ms) ====== [2025-12-27T13:44:40.824Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-27T13:44:40.824Z] GC before operation: completed in 268.861 ms, heap usage 410.027 MB -> 87.734 MB. [2025-12-27T13:44:55.579Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:45:08.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:45:20.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:45:27.072Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:45:31.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:45:35.181Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:45:41.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:45:47.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:45:47.254Z] 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. [2025-12-27T13:45:47.254Z] The best model improves the baseline by 14.52%. [2025-12-27T13:45:47.665Z] Top recommended movies for user id 72: [2025-12-27T13:45:47.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:45:47.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:45:47.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:45:47.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:45:47.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:45:47.666Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66749.881 ms) ====== [2025-12-27T13:45:47.666Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-27T13:45:47.666Z] GC before operation: completed in 187.693 ms, heap usage 179.099 MB -> 90.574 MB. [2025-12-27T13:46:02.087Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:46:08.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:46:21.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:46:34.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:46:39.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:46:44.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:46:50.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:46:56.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:46:56.822Z] 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. [2025-12-27T13:46:56.822Z] The best model improves the baseline by 14.52%. [2025-12-27T13:46:57.226Z] Top recommended movies for user id 72: [2025-12-27T13:46:57.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:46:57.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:46:57.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:46:57.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:46:57.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:46:57.226Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (69336.843 ms) ====== [2025-12-27T13:46:57.226Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-27T13:46:57.226Z] GC before operation: completed in 175.312 ms, heap usage 142.210 MB -> 90.596 MB. [2025-12-27T13:47:07.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:47:15.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:47:28.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:47:40.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:47:47.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:47:56.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:48:01.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:48:06.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:48:07.079Z] 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. [2025-12-27T13:48:07.079Z] The best model improves the baseline by 14.52%. [2025-12-27T13:48:07.819Z] Top recommended movies for user id 72: [2025-12-27T13:48:07.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:48:07.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:48:07.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:48:07.819Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:48:07.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:48:07.819Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (70338.904 ms) ====== [2025-12-27T13:48:07.819Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-27T13:48:08.230Z] GC before operation: completed in 628.060 ms, heap usage 142.364 MB -> 88.963 MB. [2025-12-27T13:48:22.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:48:29.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:48:38.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:48:46.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:48:51.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:48:55.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:49:00.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:49:05.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:49:06.958Z] 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. [2025-12-27T13:49:06.958Z] The best model improves the baseline by 14.52%. [2025-12-27T13:49:07.425Z] Top recommended movies for user id 72: [2025-12-27T13:49:07.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:49:07.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:49:07.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:49:07.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:49:07.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:49:07.425Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58996.350 ms) ====== [2025-12-27T13:49:07.425Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-27T13:49:07.817Z] GC before operation: completed in 261.116 ms, heap usage 878.923 MB -> 93.097 MB. [2025-12-27T13:49:19.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:49:29.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:49:37.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:49:44.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:49:49.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:49:53.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:49:59.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:50:03.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:50:03.718Z] 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. [2025-12-27T13:50:03.718Z] The best model improves the baseline by 14.52%. [2025-12-27T13:50:04.224Z] Top recommended movies for user id 72: [2025-12-27T13:50:04.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:50:04.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:50:04.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:50:04.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:50:04.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:50:04.224Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56639.291 ms) ====== [2025-12-27T13:50:04.224Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-27T13:50:04.224Z] GC before operation: completed in 228.277 ms, heap usage 721.112 MB -> 93.062 MB. [2025-12-27T13:50:12.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:50:19.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:50:22.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:50:31.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:50:33.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:50:39.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:50:45.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:50:49.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:50:49.677Z] 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. [2025-12-27T13:50:49.677Z] The best model improves the baseline by 14.52%. [2025-12-27T13:50:50.115Z] Top recommended movies for user id 72: [2025-12-27T13:50:50.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:50:50.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:50:50.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:50:50.115Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:50:50.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:50:50.115Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45671.095 ms) ====== [2025-12-27T13:50:50.115Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-27T13:50:50.561Z] GC before operation: completed in 285.291 ms, heap usage 769.127 MB -> 93.053 MB. [2025-12-27T13:51:00.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:51:07.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:51:17.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:51:26.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:51:30.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:51:35.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:51:40.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:51:47.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:51:47.457Z] 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. [2025-12-27T13:51:47.457Z] The best model improves the baseline by 14.52%. [2025-12-27T13:51:47.457Z] Top recommended movies for user id 72: [2025-12-27T13:51:47.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:51:47.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:51:47.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:51:47.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:51:47.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:51:47.457Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (57136.003 ms) ====== [2025-12-27T13:51:47.457Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-27T13:51:47.873Z] GC before operation: completed in 297.989 ms, heap usage 723.367 MB -> 93.195 MB. [2025-12-27T13:51:58.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:52:08.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:52:21.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:52:31.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:52:37.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:52:41.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:52:46.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:52:51.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:52:51.663Z] 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. [2025-12-27T13:52:51.663Z] The best model improves the baseline by 14.52%. [2025-12-27T13:52:52.114Z] Top recommended movies for user id 72: [2025-12-27T13:52:52.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:52:52.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:52:52.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:52:52.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:52:52.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:52:52.114Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (64139.721 ms) ====== [2025-12-27T13:52:52.114Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-27T13:52:52.114Z] GC before operation: completed in 253.892 ms, heap usage 1.245 GB -> 94.756 MB. [2025-12-27T13:53:04.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:53:16.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:53:28.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:53:37.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:53:44.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:53:50.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:53:55.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:54:01.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:54:02.587Z] 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. [2025-12-27T13:54:02.587Z] The best model improves the baseline by 14.52%. [2025-12-27T13:54:02.991Z] Top recommended movies for user id 72: [2025-12-27T13:54:02.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:54:02.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:54:02.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:54:02.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:54:02.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:54:02.991Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (70694.323 ms) ====== [2025-12-27T13:54:02.991Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-27T13:54:03.444Z] GC before operation: completed in 250.357 ms, heap usage 379.625 MB -> 89.619 MB. [2025-12-27T13:54:15.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:54:27.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:54:40.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:54:51.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:54:55.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:55:01.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:55:09.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:55:16.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:55:16.467Z] 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. [2025-12-27T13:55:16.866Z] The best model improves the baseline by 14.52%. [2025-12-27T13:55:16.866Z] Top recommended movies for user id 72: [2025-12-27T13:55:16.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:55:16.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:55:16.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:55:16.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:55:16.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:55:16.866Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (73821.075 ms) ====== [2025-12-27T13:55:16.866Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-27T13:55:17.281Z] GC before operation: completed in 219.688 ms, heap usage 630.565 MB -> 92.721 MB. [2025-12-27T13:55:29.320Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:55:42.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:55:52.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:56:02.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:56:09.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:56:15.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:56:22.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:56:28.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:56:28.660Z] 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. [2025-12-27T13:56:28.660Z] The best model improves the baseline by 14.52%. [2025-12-27T13:56:29.072Z] Top recommended movies for user id 72: [2025-12-27T13:56:29.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:56:29.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:56:29.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:56:29.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:56:29.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:56:29.072Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (72048.024 ms) ====== [2025-12-27T13:56:29.072Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-27T13:56:29.528Z] GC before operation: completed in 239.867 ms, heap usage 867.801 MB -> 93.562 MB. [2025-12-27T13:56:41.881Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:56:52.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:57:02.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:57:12.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:57:18.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:57:24.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:57:29.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:57:34.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:57:35.400Z] 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. [2025-12-27T13:57:35.401Z] The best model improves the baseline by 14.52%. [2025-12-27T13:57:35.862Z] Top recommended movies for user id 72: [2025-12-27T13:57:35.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:57:35.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:57:35.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:57:35.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:57:35.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:57:35.862Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (66123.100 ms) ====== [2025-12-27T13:57:35.862Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-27T13:57:35.862Z] GC before operation: completed in 158.010 ms, heap usage 156.917 MB -> 91.389 MB. [2025-12-27T13:57:46.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:57:53.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:58:00.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:58:08.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:58:13.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:58:18.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:58:24.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:58:29.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:58:29.674Z] 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. [2025-12-27T13:58:29.674Z] The best model improves the baseline by 14.52%. [2025-12-27T13:58:30.625Z] Top recommended movies for user id 72: [2025-12-27T13:58:30.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:58:30.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:58:30.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:58:30.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:58:30.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:58:30.625Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54608.466 ms) ====== [2025-12-27T13:58:30.625Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-27T13:58:30.625Z] GC before operation: completed in 382.018 ms, heap usage 788.427 MB -> 93.234 MB. [2025-12-27T13:58:40.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:58:48.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:58:57.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:59:07.732Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T13:59:11.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T13:59:16.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T13:59:20.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T13:59:24.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T13:59:24.893Z] 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. [2025-12-27T13:59:24.893Z] The best model improves the baseline by 14.52%. [2025-12-27T13:59:24.893Z] Top recommended movies for user id 72: [2025-12-27T13:59:24.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T13:59:24.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T13:59:24.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T13:59:24.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T13:59:24.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T13:59:24.893Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54177.358 ms) ====== [2025-12-27T13:59:24.893Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-27T13:59:25.458Z] GC before operation: completed in 250.883 ms, heap usage 650.724 MB -> 93.301 MB. [2025-12-27T13:59:33.895Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T13:59:44.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T13:59:52.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T13:59:59.714Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T14:00:02.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T14:00:05.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T14:00:10.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T14:00:14.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T14:00:14.984Z] 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. [2025-12-27T14:00:14.984Z] The best model improves the baseline by 14.52%. [2025-12-27T14:00:15.423Z] Top recommended movies for user id 72: [2025-12-27T14:00:15.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T14:00:15.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T14:00:15.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T14:00:15.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T14:00:15.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T14:00:15.423Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50093.013 ms) ====== [2025-12-27T14:00:15.423Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-27T14:00:15.423Z] GC before operation: completed in 178.862 ms, heap usage 516.954 MB -> 89.608 MB. [2025-12-27T14:00:22.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T14:00:31.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T14:00:43.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T14:00:54.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T14:01:00.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T14:01:06.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T14:01:11.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T14:01:16.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T14:01:17.355Z] 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. [2025-12-27T14:01:17.355Z] The best model improves the baseline by 14.52%. [2025-12-27T14:01:17.822Z] Top recommended movies for user id 72: [2025-12-27T14:01:17.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T14:01:17.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T14:01:17.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T14:01:17.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T14:01:17.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T14:01:17.822Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (62407.910 ms) ====== [2025-12-27T14:01:17.822Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-27T14:01:18.220Z] GC before operation: completed in 176.206 ms, heap usage 181.828 MB -> 89.306 MB. [2025-12-27T14:01:30.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T14:01:39.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T14:01:49.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T14:01:58.205Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T14:02:03.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T14:02:11.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T14:02:17.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T14:02:24.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T14:02:24.175Z] 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. [2025-12-27T14:02:24.175Z] The best model improves the baseline by 14.52%. [2025-12-27T14:02:25.755Z] Top recommended movies for user id 72: [2025-12-27T14:02:25.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T14:02:25.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T14:02:25.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T14:02:25.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T14:02:25.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T14:02:25.755Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (67481.622 ms) ====== [2025-12-27T14:02:25.755Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-27T14:02:25.755Z] GC before operation: completed in 161.655 ms, heap usage 129.317 MB -> 93.269 MB. [2025-12-27T14:02:38.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T14:02:48.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T14:02:59.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T14:03:09.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T14:03:15.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T14:03:20.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T14:03:26.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T14:03:31.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T14:03:32.843Z] 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. [2025-12-27T14:03:32.843Z] The best model improves the baseline by 14.52%. [2025-12-27T14:03:33.291Z] Top recommended movies for user id 72: [2025-12-27T14:03:33.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T14:03:33.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T14:03:33.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T14:03:33.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T14:03:33.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T14:03:33.291Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (67432.318 ms) ====== [2025-12-27T14:03:33.291Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-27T14:03:33.291Z] GC before operation: completed in 224.051 ms, heap usage 589.870 MB -> 93.098 MB. [2025-12-27T14:03:47.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T14:03:56.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T14:04:03.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T14:04:11.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T14:04:15.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T14:04:23.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T14:04:28.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T14:04:33.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T14:04:33.673Z] 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. [2025-12-27T14:04:33.673Z] The best model improves the baseline by 14.52%. [2025-12-27T14:04:34.211Z] Top recommended movies for user id 72: [2025-12-27T14:04:34.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T14:04:34.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T14:04:34.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T14:04:34.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T14:04:34.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T14:04:34.211Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (60824.975 ms) ====== [2025-12-27T14:04:36.301Z] ----------------------------------- [2025-12-27T14:04:36.301Z] renaissance-movie-lens_0_PASSED [2025-12-27T14:04:36.301Z] ----------------------------------- [2025-12-27T14:04:36.301Z] [2025-12-27T14:04:36.301Z] TEST TEARDOWN: [2025-12-27T14:04:36.301Z] Nothing to be done for teardown. [2025-12-27T14:04:36.301Z] renaissance-movie-lens_0 Finish Time: Sat Dec 27 06:04:35 2025 Epoch Time (ms): 1766844275512