[2025-12-20T13:40:28.508Z] Running test renaissance-movie-lens_0 ... [2025-12-20T13:40:28.508Z] =============================================== [2025-12-20T13:40:28.508Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 13:40:27 2025 Epoch Time (ms): 1766238027626 [2025-12-20T13:40:28.508Z] variation: NoOptions [2025-12-20T13:40:28.508Z] JVM_OPTIONS: [2025-12-20T13:40:28.508Z] { \ [2025-12-20T13:40:28.508Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T13:40:28.508Z] echo "Nothing to be done for setup."; \ [2025-12-20T13:40:28.508Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662366063042/renaissance-movie-lens_0"; \ [2025-12-20T13:40:28.508Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662366063042/renaissance-movie-lens_0"; \ [2025-12-20T13:40:28.508Z] echo ""; echo "TESTING:"; \ [2025-12-20T13:40:28.508Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662366063042/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T13:40:28.508Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662366063042/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T13:40:28.508Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T13:40:28.508Z] echo "Nothing to be done for teardown."; \ [2025-12-20T13:40:28.508Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17662366063042/TestTargetResult"; [2025-12-20T13:40:28.508Z] [2025-12-20T13:40:28.508Z] TEST SETUP: [2025-12-20T13:40:28.508Z] Nothing to be done for setup. [2025-12-20T13:40:28.508Z] [2025-12-20T13:40:28.508Z] TESTING: [2025-12-20T13:40:28.508Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T13:40:28.508Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17662366063042/renaissance-movie-lens_0/launcher-134027-9138969842179864452/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T13:40:28.508Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T13:40:28.508Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T13:40:33.885Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T13:40:40.643Z] 13:40:39.677 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T13:40:42.598Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T13:40:42.598Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T13:40:42.598Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T13:40:42.598Z] GC before operation: completed in 161.029 ms, heap usage 283.282 MB -> 75.782 MB. [2025-12-20T13:40:47.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:40:52.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:40:55.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:40:58.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:40:59.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:01.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:03.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:05.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:05.116Z] 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. [2025-12-20T13:41:05.116Z] The best model improves the baseline by 14.52%. [2025-12-20T13:41:05.116Z] Top recommended movies for user id 72: [2025-12-20T13:41:05.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:41:05.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:41:05.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:41:05.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:41:05.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:41:05.116Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22241.473 ms) ====== [2025-12-20T13:41:05.116Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T13:41:05.116Z] GC before operation: completed in 152.990 ms, heap usage 470.053 MB -> 97.753 MB. [2025-12-20T13:41:08.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:41:11.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:41:13.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:16.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:18.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:19.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:22.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:22.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:23.387Z] 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. [2025-12-20T13:41:23.387Z] The best model improves the baseline by 14.52%. [2025-12-20T13:41:23.387Z] Top recommended movies for user id 72: [2025-12-20T13:41:23.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:41:23.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:41:23.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:41:23.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:41:23.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:41:23.387Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17976.611 ms) ====== [2025-12-20T13:41:23.387Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T13:41:23.387Z] GC before operation: completed in 129.864 ms, heap usage 412.212 MB -> 88.742 MB. [2025-12-20T13:41:26.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:41:28.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:41:31.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:34.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:35.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:37.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:39.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:40.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:40.366Z] 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. [2025-12-20T13:41:40.366Z] The best model improves the baseline by 14.52%. [2025-12-20T13:41:41.321Z] Top recommended movies for user id 72: [2025-12-20T13:41:41.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:41:41.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:41:41.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:41:41.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:41:41.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:41:41.321Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17474.507 ms) ====== [2025-12-20T13:41:41.321Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T13:41:41.321Z] GC before operation: completed in 149.985 ms, heap usage 376.996 MB -> 89.477 MB. [2025-12-20T13:41:43.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:41:46.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:41:48.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:51.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:52.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:54.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:56.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:57.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:57.275Z] 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. [2025-12-20T13:41:57.275Z] The best model improves the baseline by 14.52%. [2025-12-20T13:41:58.226Z] Top recommended movies for user id 72: [2025-12-20T13:41:58.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:41:58.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:41:58.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:41:58.227Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:41:58.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:41:58.227Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16765.626 ms) ====== [2025-12-20T13:41:58.227Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T13:41:58.227Z] GC before operation: completed in 137.426 ms, heap usage 264.764 MB -> 89.637 MB. [2025-12-20T13:42:00.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:42:03.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:42:05.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:42:08.244Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:42:09.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:42:11.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:42:12.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:42:14.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:42:14.122Z] 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. [2025-12-20T13:42:14.122Z] The best model improves the baseline by 14.52%. [2025-12-20T13:42:14.122Z] Top recommended movies for user id 72: [2025-12-20T13:42:14.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:42:14.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:42:14.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:42:14.122Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:42:14.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:42:14.122Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16225.939 ms) ====== [2025-12-20T13:42:14.122Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T13:42:14.122Z] GC before operation: completed in 182.463 ms, heap usage 417.889 MB -> 89.764 MB. [2025-12-20T13:42:17.089Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:42:19.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:42:22.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:42:24.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:42:25.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:42:26.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:42:28.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:42:29.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:42:29.900Z] 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. [2025-12-20T13:42:29.900Z] The best model improves the baseline by 14.52%. [2025-12-20T13:42:29.900Z] Top recommended movies for user id 72: [2025-12-20T13:42:29.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:42:29.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:42:29.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:42:29.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:42:29.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:42:29.900Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15899.101 ms) ====== [2025-12-20T13:42:29.900Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T13:42:30.866Z] GC before operation: completed in 152.202 ms, heap usage 125.288 MB -> 89.674 MB. [2025-12-20T13:42:32.816Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:42:34.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:42:36.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:42:38.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:42:40.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:42:41.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:42:42.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:42:44.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:42:44.691Z] 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. [2025-12-20T13:42:44.691Z] The best model improves the baseline by 14.52%. [2025-12-20T13:42:44.691Z] Top recommended movies for user id 72: [2025-12-20T13:42:44.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:42:44.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:42:44.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:42:44.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:42:44.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:42:44.691Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14275.018 ms) ====== [2025-12-20T13:42:44.691Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T13:42:44.691Z] GC before operation: completed in 149.611 ms, heap usage 233.187 MB -> 89.818 MB. [2025-12-20T13:42:46.727Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:42:48.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:42:51.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:42:53.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:42:54.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:42:55.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:42:57.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:42:58.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:42:58.477Z] 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. [2025-12-20T13:42:58.477Z] The best model improves the baseline by 14.52%. [2025-12-20T13:42:58.477Z] Top recommended movies for user id 72: [2025-12-20T13:42:58.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:42:58.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:42:58.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:42:58.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:42:58.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:42:58.477Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14033.697 ms) ====== [2025-12-20T13:42:58.477Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T13:43:00.782Z] GC before operation: completed in 168.320 ms, heap usage 282.093 MB -> 90.038 MB. [2025-12-20T13:43:01.744Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:43:03.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:43:05.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:43:08.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:43:09.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:43:10.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:43:12.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:43:13.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:43:14.663Z] 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. [2025-12-20T13:43:14.663Z] The best model improves the baseline by 14.52%. [2025-12-20T13:43:14.663Z] Top recommended movies for user id 72: [2025-12-20T13:43:14.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:43:14.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:43:14.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:43:14.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:43:14.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:43:14.664Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15495.794 ms) ====== [2025-12-20T13:43:14.664Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T13:43:14.664Z] GC before operation: completed in 143.111 ms, heap usage 137.076 MB -> 89.808 MB. [2025-12-20T13:43:16.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:43:19.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:43:21.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:43:23.580Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:43:25.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:43:26.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:43:28.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:43:29.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:43:30.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:43:30.407Z] The best model improves the baseline by 14.52%. [2025-12-20T13:43:30.407Z] Top recommended movies for user id 72: [2025-12-20T13:43:30.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:43:30.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:43:30.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:43:30.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:43:30.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:43:30.407Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15385.816 ms) ====== [2025-12-20T13:43:30.407Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T13:43:30.407Z] GC before operation: completed in 151.094 ms, heap usage 367.366 MB -> 90.375 MB. [2025-12-20T13:43:32.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:43:35.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:43:37.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:43:39.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:43:41.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:43:42.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:43:44.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:43:45.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:43:46.118Z] 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. [2025-12-20T13:43:46.118Z] The best model improves the baseline by 14.52%. [2025-12-20T13:43:46.118Z] Top recommended movies for user id 72: [2025-12-20T13:43:46.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:43:46.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:43:46.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:43:46.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:43:46.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:43:46.118Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15715.228 ms) ====== [2025-12-20T13:43:46.118Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T13:43:46.118Z] GC before operation: completed in 137.913 ms, heap usage 388.105 MB -> 90.169 MB. [2025-12-20T13:43:48.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:43:51.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:43:53.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:43:56.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:43:57.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:43:58.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:44:00.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:44:01.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:44:01.070Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T13:44:01.070Z] The best model improves the baseline by 14.52%. [2025-12-20T13:44:02.027Z] Top recommended movies for user id 72: [2025-12-20T13:44:02.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:44:02.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:44:02.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:44:02.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:44:02.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:44:02.027Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15570.899 ms) ====== [2025-12-20T13:44:02.027Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T13:44:02.027Z] GC before operation: completed in 157.653 ms, heap usage 294.006 MB -> 90.183 MB. [2025-12-20T13:44:04.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:44:05.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:44:07.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:44:09.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:44:11.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:44:12.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:44:14.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:44:15.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:44:15.691Z] 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. [2025-12-20T13:44:15.691Z] The best model improves the baseline by 14.52%. [2025-12-20T13:44:16.646Z] Top recommended movies for user id 72: [2025-12-20T13:44:16.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:44:16.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:44:16.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:44:16.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:44:16.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:44:16.646Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14380.105 ms) ====== [2025-12-20T13:44:16.646Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T13:44:16.646Z] GC before operation: completed in 146.415 ms, heap usage 291.250 MB -> 90.225 MB. [2025-12-20T13:44:18.626Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:44:20.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:44:23.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:44:25.631Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:44:27.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:44:28.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:44:29.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:44:31.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:44:31.441Z] 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. [2025-12-20T13:44:31.441Z] The best model improves the baseline by 14.52%. [2025-12-20T13:44:31.441Z] Top recommended movies for user id 72: [2025-12-20T13:44:31.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:44:31.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:44:31.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:44:31.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:44:31.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:44:31.441Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15418.481 ms) ====== [2025-12-20T13:44:31.441Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T13:44:32.392Z] GC before operation: completed in 144.423 ms, heap usage 293.950 MB -> 90.089 MB. [2025-12-20T13:44:34.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:44:36.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:44:39.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:44:41.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:44:42.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:44:44.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:44:45.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:44:47.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:44:47.116Z] 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. [2025-12-20T13:44:47.116Z] The best model improves the baseline by 14.52%. [2025-12-20T13:44:47.116Z] Top recommended movies for user id 72: [2025-12-20T13:44:47.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:44:47.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:44:47.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:44:47.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:44:47.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:44:47.116Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15358.450 ms) ====== [2025-12-20T13:44:47.116Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T13:44:47.116Z] GC before operation: completed in 157.404 ms, heap usage 100.318 MB -> 90.355 MB. [2025-12-20T13:44:50.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:44:52.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:44:54.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:44:57.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:44:58.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:44:59.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:45:01.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:45:03.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:45:03.052Z] 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. [2025-12-20T13:45:03.052Z] The best model improves the baseline by 14.52%. [2025-12-20T13:45:03.052Z] Top recommended movies for user id 72: [2025-12-20T13:45:03.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:45:03.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:45:03.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:45:03.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:45:03.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:45:03.052Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15637.804 ms) ====== [2025-12-20T13:45:03.052Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T13:45:03.052Z] GC before operation: completed in 128.939 ms, heap usage 125.427 MB -> 89.938 MB. [2025-12-20T13:45:05.007Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:45:08.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:45:09.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:45:11.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:45:12.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:45:14.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:45:15.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:45:17.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:45:17.761Z] 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. [2025-12-20T13:45:17.761Z] The best model improves the baseline by 14.52%. [2025-12-20T13:45:17.761Z] Top recommended movies for user id 72: [2025-12-20T13:45:17.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:45:17.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:45:17.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:45:17.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:45:17.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:45:17.761Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14518.762 ms) ====== [2025-12-20T13:45:17.761Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T13:45:17.761Z] GC before operation: completed in 126.798 ms, heap usage 390.323 MB -> 90.342 MB. [2025-12-20T13:45:19.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:45:22.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:45:24.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:45:26.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:45:28.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:45:29.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:45:31.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:45:32.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:45:33.434Z] 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. [2025-12-20T13:45:33.434Z] The best model improves the baseline by 14.52%. [2025-12-20T13:45:33.434Z] Top recommended movies for user id 72: [2025-12-20T13:45:33.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:45:33.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:45:33.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:45:33.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:45:33.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:45:33.434Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15402.945 ms) ====== [2025-12-20T13:45:33.434Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T13:45:33.434Z] GC before operation: completed in 134.522 ms, heap usage 447.439 MB -> 90.314 MB. [2025-12-20T13:45:35.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:45:38.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:45:41.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:45:42.426Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:45:44.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:45:45.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:45:47.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:45:48.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:45:48.243Z] 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. [2025-12-20T13:45:48.243Z] The best model improves the baseline by 14.52%. [2025-12-20T13:45:49.201Z] Top recommended movies for user id 72: [2025-12-20T13:45:49.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:45:49.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:45:49.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:45:49.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:45:49.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:45:49.201Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15443.145 ms) ====== [2025-12-20T13:45:49.201Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T13:45:49.201Z] GC before operation: completed in 141.118 ms, heap usage 123.666 MB -> 89.950 MB. [2025-12-20T13:45:51.178Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:45:53.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:45:56.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:45:58.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:45:59.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:46:01.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:46:02.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:46:03.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:46:03.963Z] 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. [2025-12-20T13:46:03.963Z] The best model improves the baseline by 14.52%. [2025-12-20T13:46:03.963Z] Top recommended movies for user id 72: [2025-12-20T13:46:03.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T13:46:03.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T13:46:03.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T13:46:03.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T13:46:03.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T13:46:03.963Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15315.115 ms) ====== [2025-12-20T13:46:04.920Z] ----------------------------------- [2025-12-20T13:46:04.920Z] renaissance-movie-lens_0_PASSED [2025-12-20T13:46:04.920Z] ----------------------------------- [2025-12-20T13:46:04.920Z] [2025-12-20T13:46:04.920Z] TEST TEARDOWN: [2025-12-20T13:46:04.920Z] Nothing to be done for teardown. [2025-12-20T13:46:04.920Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 13:46:04 2025 Epoch Time (ms): 1766238364319