[2025-12-20T15:55:44.921Z] Running test renaissance-movie-lens_0 ... [2025-12-20T15:55:44.921Z] =============================================== [2025-12-20T15:55:44.921Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 15:55:44 2025 Epoch Time (ms): 1766246144822 [2025-12-20T15:55:44.921Z] variation: NoOptions [2025-12-20T15:55:44.921Z] JVM_OPTIONS: [2025-12-20T15:55:44.921Z] { \ [2025-12-20T15:55:44.921Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T15:55:44.921Z] echo "Nothing to be done for setup."; \ [2025-12-20T15:55:44.921Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662449609792/renaissance-movie-lens_0"; \ [2025-12-20T15:55:44.921Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662449609792/renaissance-movie-lens_0"; \ [2025-12-20T15:55:44.921Z] echo ""; echo "TESTING:"; \ [2025-12-20T15:55:44.921Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662449609792/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T15:55:44.921Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662449609792/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T15:55:44.921Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T15:55:44.921Z] echo "Nothing to be done for teardown."; \ [2025-12-20T15:55:44.921Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17662449609792/TestTargetResult"; [2025-12-20T15:55:44.921Z] [2025-12-20T15:55:44.921Z] TEST SETUP: [2025-12-20T15:55:44.921Z] Nothing to be done for setup. [2025-12-20T15:55:44.921Z] [2025-12-20T15:55:44.921Z] TESTING: [2025-12-20T15:55:45.649Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T15:55:45.649Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17662449609792/renaissance-movie-lens_0/launcher-155544-3646090004220831359/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T15:55:45.649Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T15:55:45.649Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T15:55:50.984Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T15:55:57.570Z] 15:55:56.510 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T15:55:59.440Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T15:56:00.169Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T15:56:00.169Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T15:56:00.169Z] GC before operation: completed in 120.093 ms, heap usage 262.246 MB -> 75.779 MB. [2025-12-20T15:56:06.872Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:56:10.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:56:13.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:56:16.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:56:19.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:56:20.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:56:22.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:56:24.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:56:24.385Z] 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. [2025-12-20T15:56:24.385Z] The best model improves the baseline by 14.52%. [2025-12-20T15:56:24.385Z] Top recommended movies for user id 72: [2025-12-20T15:56:24.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:56:24.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:56:24.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:56:24.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:56:24.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:56:25.118Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24811.496 ms) ====== [2025-12-20T15:56:25.118Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T15:56:25.118Z] GC before operation: completed in 145.350 ms, heap usage 151.630 MB -> 86.235 MB. [2025-12-20T15:56:28.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:56:30.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:56:33.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:56:36.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:56:38.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:56:40.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:56:41.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:56:43.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:56:43.280Z] 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. [2025-12-20T15:56:43.280Z] The best model improves the baseline by 14.52%. [2025-12-20T15:56:43.280Z] Top recommended movies for user id 72: [2025-12-20T15:56:43.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:56:43.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:56:43.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:56:43.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:56:43.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:56:43.280Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18604.724 ms) ====== [2025-12-20T15:56:43.280Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T15:56:43.280Z] GC before operation: completed in 121.203 ms, heap usage 282.813 MB -> 88.587 MB. [2025-12-20T15:56:47.029Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:56:49.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:56:51.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:56:54.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:56:55.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:56:57.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:56:58.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:57:00.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:57:00.975Z] 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. [2025-12-20T15:57:00.975Z] The best model improves the baseline by 14.52%. [2025-12-20T15:57:00.975Z] Top recommended movies for user id 72: [2025-12-20T15:57:00.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:57:00.975Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:57:00.975Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:57:00.975Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:57:00.975Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:57:00.975Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17286.385 ms) ====== [2025-12-20T15:57:00.975Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T15:57:00.975Z] GC before operation: completed in 114.797 ms, heap usage 378.390 MB -> 89.425 MB. [2025-12-20T15:57:04.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:57:06.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:57:08.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:57:11.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:57:13.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:57:15.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:57:16.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:57:18.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:57:18.173Z] 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. [2025-12-20T15:57:18.173Z] The best model improves the baseline by 14.52%. [2025-12-20T15:57:18.900Z] Top recommended movies for user id 72: [2025-12-20T15:57:18.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:57:18.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:57:18.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:57:18.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:57:18.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:57:18.900Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17535.037 ms) ====== [2025-12-20T15:57:18.900Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T15:57:18.900Z] GC before operation: completed in 119.810 ms, heap usage 151.091 MB -> 89.443 MB. [2025-12-20T15:57:21.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:57:23.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:57:27.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:57:28.853Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:57:30.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:57:31.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:57:34.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:57:35.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:57:35.731Z] 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. [2025-12-20T15:57:35.731Z] The best model improves the baseline by 14.52%. [2025-12-20T15:57:35.731Z] Top recommended movies for user id 72: [2025-12-20T15:57:35.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:57:35.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:57:35.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:57:35.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:57:35.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:57:35.731Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17106.704 ms) ====== [2025-12-20T15:57:35.731Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T15:57:35.731Z] GC before operation: completed in 117.518 ms, heap usage 188.456 MB -> 89.310 MB. [2025-12-20T15:57:39.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:57:41.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:57:43.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:57:46.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:57:46.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:57:48.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:57:49.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:57:51.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:57:51.323Z] 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. [2025-12-20T15:57:51.323Z] The best model improves the baseline by 14.52%. [2025-12-20T15:57:51.323Z] Top recommended movies for user id 72: [2025-12-20T15:57:51.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:57:51.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:57:51.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:57:51.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:57:51.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:57:51.323Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15606.711 ms) ====== [2025-12-20T15:57:51.323Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T15:57:51.323Z] GC before operation: completed in 112.161 ms, heap usage 109.534 MB -> 91.452 MB. [2025-12-20T15:57:53.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:57:56.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:57:59.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:58:01.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:58:02.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:58:04.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:58:05.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:58:07.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:58:07.034Z] 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. [2025-12-20T15:58:07.034Z] The best model improves the baseline by 14.52%. [2025-12-20T15:58:07.761Z] Top recommended movies for user id 72: [2025-12-20T15:58:07.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:58:07.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:58:07.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:58:07.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:58:07.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:58:07.761Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15814.118 ms) ====== [2025-12-20T15:58:07.761Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T15:58:07.761Z] GC before operation: completed in 106.007 ms, heap usage 100.710 MB -> 89.448 MB. [2025-12-20T15:58:10.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:58:12.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:58:14.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:58:17.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:58:18.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:58:20.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:58:21.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:58:22.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:58:23.308Z] 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. [2025-12-20T15:58:23.308Z] The best model improves the baseline by 14.52%. [2025-12-20T15:58:23.308Z] Top recommended movies for user id 72: [2025-12-20T15:58:23.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:58:23.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:58:23.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:58:23.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:58:23.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:58:23.308Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15561.078 ms) ====== [2025-12-20T15:58:23.308Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T15:58:23.308Z] GC before operation: completed in 111.549 ms, heap usage 118.277 MB -> 89.732 MB. [2025-12-20T15:58:25.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:58:28.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:58:30.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:58:31.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:58:33.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:58:34.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:58:36.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:58:37.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:58:37.889Z] 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. [2025-12-20T15:58:37.889Z] The best model improves the baseline by 14.52%. [2025-12-20T15:58:37.889Z] Top recommended movies for user id 72: [2025-12-20T15:58:37.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:58:37.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:58:37.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:58:37.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:58:37.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:58:37.889Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14505.140 ms) ====== [2025-12-20T15:58:37.889Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T15:58:37.889Z] GC before operation: completed in 114.108 ms, heap usage 449.203 MB -> 90.055 MB. [2025-12-20T15:58:40.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:58:42.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:58:44.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:58:47.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:58:48.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:58:49.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:58:51.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:58:52.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:58:52.541Z] 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. [2025-12-20T15:58:52.541Z] The best model improves the baseline by 14.52%. [2025-12-20T15:58:53.275Z] Top recommended movies for user id 72: [2025-12-20T15:58:53.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:58:53.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:58:53.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:58:53.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:58:53.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:58:53.275Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15182.682 ms) ====== [2025-12-20T15:58:53.275Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T15:58:53.275Z] GC before operation: completed in 112.649 ms, heap usage 187.556 MB -> 89.945 MB. [2025-12-20T15:58:56.103Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:58:58.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:59:00.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:59:03.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:59:04.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:59:06.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:59:07.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:59:09.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:59:09.207Z] 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. [2025-12-20T15:59:09.207Z] The best model improves the baseline by 14.52%. [2025-12-20T15:59:09.207Z] Top recommended movies for user id 72: [2025-12-20T15:59:09.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:59:09.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:59:09.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:59:09.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:59:09.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:59:09.207Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16079.202 ms) ====== [2025-12-20T15:59:09.207Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T15:59:09.207Z] GC before operation: completed in 115.752 ms, heap usage 374.654 MB -> 89.882 MB. [2025-12-20T15:59:11.558Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:59:13.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:59:16.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:59:18.615Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:59:19.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:59:20.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:59:22.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:59:23.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:59:23.878Z] 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. [2025-12-20T15:59:23.878Z] The best model improves the baseline by 14.52%. [2025-12-20T15:59:23.878Z] Top recommended movies for user id 72: [2025-12-20T15:59:23.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:59:23.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:59:23.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:59:23.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:59:23.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:59:23.878Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14688.006 ms) ====== [2025-12-20T15:59:23.878Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T15:59:23.878Z] GC before operation: completed in 120.783 ms, heap usage 211.503 MB -> 91.601 MB. [2025-12-20T15:59:26.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:59:28.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:59:30.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:59:33.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:59:34.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:59:36.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:59:37.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:59:39.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:59:39.088Z] 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. [2025-12-20T15:59:39.088Z] The best model improves the baseline by 14.52%. [2025-12-20T15:59:39.088Z] Top recommended movies for user id 72: [2025-12-20T15:59:39.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:59:39.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:59:39.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:59:39.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:59:39.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:59:39.088Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15289.885 ms) ====== [2025-12-20T15:59:39.088Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T15:59:39.814Z] GC before operation: completed in 109.394 ms, heap usage 147.086 MB -> 89.824 MB. [2025-12-20T15:59:42.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:59:44.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T15:59:46.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T15:59:49.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T15:59:51.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T15:59:52.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T15:59:53.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T15:59:55.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T15:59:55.268Z] 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. [2025-12-20T15:59:55.268Z] The best model improves the baseline by 14.52%. [2025-12-20T15:59:55.268Z] Top recommended movies for user id 72: [2025-12-20T15:59:55.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T15:59:55.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T15:59:55.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T15:59:55.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T15:59:55.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T15:59:55.268Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15816.823 ms) ====== [2025-12-20T15:59:55.268Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T15:59:55.268Z] GC before operation: completed in 120.435 ms, heap usage 278.983 MB -> 89.833 MB. [2025-12-20T15:59:57.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T15:59:59.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:00:02.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:00:04.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:00:06.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:00:07.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:00:09.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:00:10.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:00:10.907Z] 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. [2025-12-20T16:00:10.907Z] The best model improves the baseline by 14.52%. [2025-12-20T16:00:10.907Z] Top recommended movies for user id 72: [2025-12-20T16:00:10.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:00:10.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:00:10.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:00:10.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:00:10.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:00:10.907Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15682.039 ms) ====== [2025-12-20T16:00:10.907Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T16:00:11.640Z] GC before operation: completed in 118.888 ms, heap usage 374.094 MB -> 90.240 MB. [2025-12-20T16:00:13.985Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T16:00:16.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:00:18.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:00:20.375Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:00:21.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:00:23.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:00:24.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:00:25.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:00:26.367Z] 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. [2025-12-20T16:00:26.367Z] The best model improves the baseline by 14.52%. [2025-12-20T16:00:26.367Z] Top recommended movies for user id 72: [2025-12-20T16:00:26.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:00:26.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:00:26.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:00:26.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:00:26.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:00:26.367Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15018.309 ms) ====== [2025-12-20T16:00:26.367Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T16:00:26.367Z] GC before operation: completed in 108.181 ms, heap usage 212.858 MB -> 89.823 MB. [2025-12-20T16:00:28.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T16:00:31.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:00:33.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:00:35.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:00:37.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:00:38.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:00:40.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:00:41.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:00:41.800Z] 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. [2025-12-20T16:00:41.800Z] The best model improves the baseline by 14.52%. [2025-12-20T16:00:41.800Z] Top recommended movies for user id 72: [2025-12-20T16:00:41.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:00:41.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:00:41.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:00:41.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:00:41.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:00:41.800Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15675.622 ms) ====== [2025-12-20T16:00:41.800Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T16:00:42.525Z] GC before operation: completed in 126.170 ms, heap usage 518.656 MB -> 90.280 MB. [2025-12-20T16:00:44.868Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T16:00:47.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:00:49.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:00:51.910Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:00:53.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:00:54.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:00:56.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:00:57.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:00:57.955Z] 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. [2025-12-20T16:00:57.955Z] The best model improves the baseline by 14.52%. [2025-12-20T16:00:57.955Z] Top recommended movies for user id 72: [2025-12-20T16:00:57.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:00:57.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:00:57.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:00:57.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:00:57.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:00:57.955Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15892.501 ms) ====== [2025-12-20T16:00:57.955Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T16:00:57.955Z] GC before operation: completed in 113.807 ms, heap usage 370.229 MB -> 89.995 MB. [2025-12-20T16:01:00.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T16:01:03.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:01:05.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:01:07.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:01:08.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:01:10.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:01:11.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:01:13.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:01:13.926Z] 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. [2025-12-20T16:01:13.926Z] The best model improves the baseline by 14.52%. [2025-12-20T16:01:13.926Z] Top recommended movies for user id 72: [2025-12-20T16:01:13.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:01:13.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:01:13.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:01:13.926Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:01:13.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:01:13.926Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15713.114 ms) ====== [2025-12-20T16:01:13.926Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T16:01:13.926Z] GC before operation: completed in 126.427 ms, heap usage 212.976 MB -> 89.842 MB. [2025-12-20T16:01:16.289Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T16:01:18.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T16:01:20.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T16:01:23.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T16:01:24.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T16:01:26.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T16:01:27.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T16:01:28.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T16:01:29.313Z] 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. [2025-12-20T16:01:29.313Z] The best model improves the baseline by 14.52%. [2025-12-20T16:01:29.313Z] Top recommended movies for user id 72: [2025-12-20T16:01:29.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T16:01:29.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T16:01:29.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T16:01:29.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T16:01:29.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T16:01:29.313Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15021.692 ms) ====== [2025-12-20T16:01:29.313Z] ----------------------------------- [2025-12-20T16:01:29.313Z] renaissance-movie-lens_0_PASSED [2025-12-20T16:01:29.313Z] ----------------------------------- [2025-12-20T16:01:29.313Z] [2025-12-20T16:01:29.313Z] TEST TEARDOWN: [2025-12-20T16:01:29.313Z] Nothing to be done for teardown. [2025-12-20T16:01:29.313Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 16:01:29 2025 Epoch Time (ms): 1766246489097