[2025-10-31T12:55:39.636Z] Running test renaissance-movie-lens_0 ... [2025-10-31T12:55:39.636Z] =============================================== [2025-10-31T12:55:39.636Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 12:55:39 2025 Epoch Time (ms): 1761915339061 [2025-10-31T12:55:39.636Z] variation: NoOptions [2025-10-31T12:55:39.636Z] JVM_OPTIONS: [2025-10-31T12:55:39.636Z] { \ [2025-10-31T12:55:39.636Z] echo ""; echo "TEST SETUP:"; \ [2025-10-31T12:55:39.636Z] echo "Nothing to be done for setup."; \ [2025-10-31T12:55:39.636Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619126749373/renaissance-movie-lens_0"; \ [2025-10-31T12:55:39.636Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619126749373/renaissance-movie-lens_0"; \ [2025-10-31T12:55:39.636Z] echo ""; echo "TESTING:"; \ [2025-10-31T12:55:39.637Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619126749373/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-31T12:55:39.637Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619126749373/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-31T12:55:39.637Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-31T12:55:39.637Z] echo "Nothing to be done for teardown."; \ [2025-10-31T12:55:39.637Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17619126749373/TestTargetResult"; [2025-10-31T12:55:39.637Z] [2025-10-31T12:55:39.637Z] TEST SETUP: [2025-10-31T12:55:39.637Z] Nothing to be done for setup. [2025-10-31T12:55:39.637Z] [2025-10-31T12:55:39.637Z] TESTING: [2025-10-31T12:55:41.447Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-31T12:55:41.447Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17619126749373/renaissance-movie-lens_0/launcher-125539-11699894486258196443/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-31T12:55:41.447Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-31T12:55:41.447Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-31T12:55:48.123Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-31T12:55:59.624Z] 12:55:59.120 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-31T12:56:02.643Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-31T12:56:03.592Z] Training: 60056, validation: 20285, test: 19854 [2025-10-31T12:56:03.592Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-31T12:56:03.592Z] GC before operation: completed in 194.905 ms, heap usage 330.705 MB -> 75.832 MB. [2025-10-31T12:56:13.415Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:56:17.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:56:23.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:56:27.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:56:30.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:56:32.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:56:35.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:56:37.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:56:38.161Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T12:56:38.161Z] The best model improves the baseline by 14.52%. [2025-10-31T12:56:38.162Z] Top recommended movies for user id 72: [2025-10-31T12:56:38.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:56:38.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:56:38.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:56:38.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:56:38.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:56:38.162Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34451.788 ms) ====== [2025-10-31T12:56:38.162Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-31T12:56:38.162Z] GC before operation: completed in 203.300 ms, heap usage 387.097 MB -> 86.716 MB. [2025-10-31T12:56:43.178Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:56:46.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:56:50.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:56:54.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:56:57.524Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:56:59.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:57:02.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:57:04.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:57:05.443Z] 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. [2025-10-31T12:57:05.443Z] The best model improves the baseline by 14.52%. [2025-10-31T12:57:05.443Z] Top recommended movies for user id 72: [2025-10-31T12:57:05.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:57:05.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:57:05.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:57:05.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:57:05.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:57:05.443Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26766.706 ms) ====== [2025-10-31T12:57:05.443Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-31T12:57:05.443Z] GC before operation: completed in 183.903 ms, heap usage 367.775 MB -> 88.950 MB. [2025-10-31T12:57:09.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:57:13.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:57:17.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:57:20.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:57:22.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:57:25.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:57:27.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:57:29.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:57:30.751Z] 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. [2025-10-31T12:57:30.751Z] The best model improves the baseline by 14.52%. [2025-10-31T12:57:30.751Z] Top recommended movies for user id 72: [2025-10-31T12:57:30.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:57:30.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:57:30.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:57:30.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:57:30.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:57:30.751Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25085.483 ms) ====== [2025-10-31T12:57:30.751Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-31T12:57:30.751Z] GC before operation: completed in 189.569 ms, heap usage 385.326 MB -> 89.675 MB. [2025-10-31T12:57:35.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:57:38.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:57:41.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:57:45.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:57:47.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:57:49.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:57:51.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:57:53.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:57:53.599Z] 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. [2025-10-31T12:57:54.556Z] The best model improves the baseline by 14.52%. [2025-10-31T12:57:54.556Z] Top recommended movies for user id 72: [2025-10-31T12:57:54.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:57:54.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:57:54.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:57:54.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:57:54.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:57:54.556Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23537.795 ms) ====== [2025-10-31T12:57:54.556Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-31T12:57:54.556Z] GC before operation: completed in 194.299 ms, heap usage 120.149 MB -> 90.763 MB. [2025-10-31T12:57:58.717Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:58:01.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:58:05.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:58:08.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:58:12.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:58:13.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:58:15.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:58:18.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:58:18.924Z] 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. [2025-10-31T12:58:18.924Z] The best model improves the baseline by 14.52%. [2025-10-31T12:58:19.878Z] Top recommended movies for user id 72: [2025-10-31T12:58:19.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:58:19.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:58:19.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:58:19.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:58:19.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:58:19.878Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24974.879 ms) ====== [2025-10-31T12:58:19.878Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-31T12:58:19.878Z] GC before operation: completed in 184.563 ms, heap usage 452.187 MB -> 90.069 MB. [2025-10-31T12:58:24.030Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:58:27.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:58:31.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:58:34.600Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:58:36.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:58:38.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:58:41.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:58:43.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:58:43.474Z] 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. [2025-10-31T12:58:43.474Z] The best model improves the baseline by 14.52%. [2025-10-31T12:58:43.474Z] Top recommended movies for user id 72: [2025-10-31T12:58:43.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:58:43.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:58:43.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:58:43.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:58:43.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:58:43.474Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24156.462 ms) ====== [2025-10-31T12:58:43.474Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-31T12:58:44.420Z] GC before operation: completed in 187.649 ms, heap usage 376.834 MB -> 90.221 MB. [2025-10-31T12:58:47.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:58:51.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:58:54.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:58:58.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:59:00.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:59:02.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:59:04.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:59:06.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:59:07.573Z] 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. [2025-10-31T12:59:07.573Z] The best model improves the baseline by 14.52%. [2025-10-31T12:59:07.573Z] Top recommended movies for user id 72: [2025-10-31T12:59:07.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:59:07.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:59:07.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:59:07.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:59:07.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:59:07.573Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23614.077 ms) ====== [2025-10-31T12:59:07.573Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-31T12:59:07.573Z] GC before operation: completed in 187.936 ms, heap usage 123.027 MB -> 89.785 MB. [2025-10-31T12:59:11.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:59:14.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:59:18.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:59:25.756Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:59:25.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:59:26.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:59:28.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:59:30.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:59:30.612Z] 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. [2025-10-31T12:59:30.612Z] The best model improves the baseline by 14.52%. [2025-10-31T12:59:30.612Z] Top recommended movies for user id 72: [2025-10-31T12:59:30.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:59:30.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:59:30.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:59:30.612Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:59:30.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:59:30.612Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23089.850 ms) ====== [2025-10-31T12:59:30.612Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-31T12:59:31.563Z] GC before operation: completed in 185.298 ms, heap usage 244.647 MB -> 90.247 MB. [2025-10-31T12:59:34.579Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:59:37.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:59:41.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:59:44.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:59:46.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:59:48.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:59:50.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:59:52.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:59:53.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T12:59:53.545Z] The best model improves the baseline by 14.52%. [2025-10-31T12:59:53.545Z] Top recommended movies for user id 72: [2025-10-31T12:59:53.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T12:59:53.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T12:59:53.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T12:59:53.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T12:59:53.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T12:59:53.545Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22368.531 ms) ====== [2025-10-31T12:59:53.545Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-31T12:59:53.545Z] GC before operation: completed in 183.186 ms, heap usage 293.406 MB -> 90.135 MB. [2025-10-31T12:59:57.688Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:00:00.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:00:03.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:00:07.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:00:09.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:00:11.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:00:14.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:00:16.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:00:16.886Z] 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. [2025-10-31T13:00:16.886Z] The best model improves the baseline by 14.52%. [2025-10-31T13:00:16.886Z] Top recommended movies for user id 72: [2025-10-31T13:00:16.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:00:16.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:00:16.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:00:16.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:00:16.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:00:16.886Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23619.042 ms) ====== [2025-10-31T13:00:16.886Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-31T13:00:18.873Z] GC before operation: completed in 187.229 ms, heap usage 173.832 MB -> 90.208 MB. [2025-10-31T13:00:21.173Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:00:25.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:00:28.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:00:31.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:00:33.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:00:35.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:00:37.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:00:39.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:00:39.254Z] 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. [2025-10-31T13:00:39.254Z] The best model improves the baseline by 14.52%. [2025-10-31T13:00:40.203Z] Top recommended movies for user id 72: [2025-10-31T13:00:40.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:00:40.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:00:40.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:00:40.203Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:00:40.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:00:40.203Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22387.285 ms) ====== [2025-10-31T13:00:40.203Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-31T13:00:40.203Z] GC before operation: completed in 198.172 ms, heap usage 550.320 MB -> 93.677 MB. [2025-10-31T13:00:43.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:00:46.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:00:50.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:00:53.422Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:00:55.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:00:57.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:00:59.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:01:01.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:01:01.250Z] 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. [2025-10-31T13:01:01.250Z] The best model improves the baseline by 14.52%. [2025-10-31T13:01:02.199Z] Top recommended movies for user id 72: [2025-10-31T13:01:02.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:01:02.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:01:02.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:01:02.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:01:02.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:01:02.199Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21813.027 ms) ====== [2025-10-31T13:01:02.199Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-31T13:01:02.199Z] GC before operation: completed in 176.786 ms, heap usage 380.706 MB -> 90.388 MB. [2025-10-31T13:01:05.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:01:09.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:01:12.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:01:15.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:01:17.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:01:19.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:01:21.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:01:23.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:01:23.149Z] 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. [2025-10-31T13:01:23.149Z] The best model improves the baseline by 14.52%. [2025-10-31T13:01:23.149Z] Top recommended movies for user id 72: [2025-10-31T13:01:23.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:01:23.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:01:23.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:01:23.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:01:23.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:01:23.149Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21424.446 ms) ====== [2025-10-31T13:01:23.149Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-31T13:01:24.097Z] GC before operation: completed in 186.499 ms, heap usage 113.573 MB -> 93.919 MB. [2025-10-31T13:01:27.110Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:01:30.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:01:33.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:01:36.138Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:01:38.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:01:39.052Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:01:41.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:01:42.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:01:42.964Z] 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. [2025-10-31T13:01:42.964Z] The best model improves the baseline by 14.52%. [2025-10-31T13:01:43.914Z] Top recommended movies for user id 72: [2025-10-31T13:01:43.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:01:43.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:01:43.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:01:43.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:01:43.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:01:43.914Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19907.359 ms) ====== [2025-10-31T13:01:43.914Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-31T13:01:43.914Z] GC before operation: completed in 190.150 ms, heap usage 797.722 MB -> 94.190 MB. [2025-10-31T13:01:46.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:01:49.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:01:52.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:01:55.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:01:57.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:01:59.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:02:01.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:02:03.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:02:03.836Z] 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. [2025-10-31T13:02:03.836Z] The best model improves the baseline by 14.52%. [2025-10-31T13:02:03.836Z] Top recommended movies for user id 72: [2025-10-31T13:02:03.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:02:03.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:02:03.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:02:03.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:02:03.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:02:03.836Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20388.567 ms) ====== [2025-10-31T13:02:03.836Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-31T13:02:05.265Z] GC before operation: completed in 188.939 ms, heap usage 509.592 MB -> 90.802 MB. [2025-10-31T13:02:08.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:02:11.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:02:14.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:02:17.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:02:19.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:02:21.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:02:24.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:02:26.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:02:26.227Z] 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. [2025-10-31T13:02:26.227Z] The best model improves the baseline by 14.52%. [2025-10-31T13:02:27.184Z] Top recommended movies for user id 72: [2025-10-31T13:02:27.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:02:27.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:02:27.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:02:27.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:02:27.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:02:27.184Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22595.467 ms) ====== [2025-10-31T13:02:27.184Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-31T13:02:27.184Z] GC before operation: completed in 197.379 ms, heap usage 219.018 MB -> 90.211 MB. [2025-10-31T13:02:31.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:02:34.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:02:38.530Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:02:42.699Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:02:44.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:02:46.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:02:49.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:02:51.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:02:51.611Z] 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. [2025-10-31T13:02:51.611Z] The best model improves the baseline by 14.52%. [2025-10-31T13:02:52.562Z] Top recommended movies for user id 72: [2025-10-31T13:02:52.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:02:52.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:02:52.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:02:52.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:02:52.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:02:52.562Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25011.671 ms) ====== [2025-10-31T13:02:52.562Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-31T13:02:52.562Z] GC before operation: completed in 203.683 ms, heap usage 435.527 MB -> 90.717 MB. [2025-10-31T13:02:57.014Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:03:00.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:03:03.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:03:06.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:03:08.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:03:10.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:03:13.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:03:15.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:03:15.207Z] 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. [2025-10-31T13:03:15.207Z] The best model improves the baseline by 14.52%. [2025-10-31T13:03:16.163Z] Top recommended movies for user id 72: [2025-10-31T13:03:16.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:03:16.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:03:16.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:03:16.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:03:16.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:03:16.163Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23594.858 ms) ====== [2025-10-31T13:03:16.163Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-31T13:03:16.163Z] GC before operation: completed in 193.658 ms, heap usage 366.600 MB -> 90.405 MB. [2025-10-31T13:03:20.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:03:23.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:03:26.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:03:30.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:03:32.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:03:34.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:03:36.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:03:38.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:03:39.323Z] 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. [2025-10-31T13:03:39.323Z] The best model improves the baseline by 14.52%. [2025-10-31T13:03:39.323Z] Top recommended movies for user id 72: [2025-10-31T13:03:39.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:03:39.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:03:39.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:03:39.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:03:39.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:03:39.323Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23198.042 ms) ====== [2025-10-31T13:03:39.323Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-31T13:03:39.323Z] GC before operation: completed in 191.911 ms, heap usage 516.259 MB -> 90.614 MB. [2025-10-31T13:03:43.477Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:03:46.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:03:50.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:03:54.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:03:56.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:03:58.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:04:00.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:04:02.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:04:03.173Z] 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. [2025-10-31T13:04:03.173Z] The best model improves the baseline by 14.52%. [2025-10-31T13:04:03.173Z] Top recommended movies for user id 72: [2025-10-31T13:04:03.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T13:04:03.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T13:04:03.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T13:04:03.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T13:04:03.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T13:04:03.174Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23637.553 ms) ====== [2025-10-31T13:04:04.125Z] ----------------------------------- [2025-10-31T13:04:04.125Z] renaissance-movie-lens_0_PASSED [2025-10-31T13:04:04.125Z] ----------------------------------- [2025-10-31T13:04:04.125Z] [2025-10-31T13:04:04.125Z] TEST TEARDOWN: [2025-10-31T13:04:04.125Z] Nothing to be done for teardown. [2025-10-31T13:04:04.125Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 13:04:03 2025 Epoch Time (ms): 1761915843970