[2025-12-20T14:24:52.088Z] Running test renaissance-movie-lens_0 ... [2025-12-20T14:24:52.088Z] =============================================== [2025-12-20T14:24:52.088Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 14:24:51 2025 Epoch Time (ms): 1766240691474 [2025-12-20T14:24:52.088Z] variation: NoOptions [2025-12-20T14:24:52.088Z] JVM_OPTIONS: [2025-12-20T14:24:52.088Z] { \ [2025-12-20T14:24:52.088Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T14:24:52.088Z] echo "Nothing to be done for setup."; \ [2025-12-20T14:24:52.088Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17662387601618/renaissance-movie-lens_0"; \ [2025-12-20T14:24:52.088Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17662387601618/renaissance-movie-lens_0"; \ [2025-12-20T14:24:52.088Z] echo ""; echo "TESTING:"; \ [2025-12-20T14:24:52.088Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17662387601618/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T14:24:52.088Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17662387601618/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T14:24:52.088Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T14:24:52.088Z] echo "Nothing to be done for teardown."; \ [2025-12-20T14:24:52.088Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17662387601618/TestTargetResult"; [2025-12-20T14:24:52.088Z] [2025-12-20T14:24:52.088Z] TEST SETUP: [2025-12-20T14:24:52.088Z] Nothing to be done for setup. [2025-12-20T14:24:52.088Z] [2025-12-20T14:24:52.088Z] TESTING: [2025-12-20T14:24:52.704Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T14:24:52.704Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17662387601618/renaissance-movie-lens_0/launcher-142451-16575861085061715122/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T14:24:52.704Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T14:24:52.704Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T14:24:56.412Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-20T14:25:01.521Z] 14:25:01.176 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T14:25:03.579Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T14:25:04.200Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T14:25:04.200Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T14:25:04.200Z] GC before operation: completed in 119.237 ms, heap usage 127.630 MB -> 75.549 MB. [2025-12-20T14:25:10.095Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:25:12.924Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:25:15.788Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:25:19.537Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:25:20.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:25:22.137Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:25:24.161Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:25:25.460Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:25:26.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:25:26.105Z] The best model improves the baseline by 14.34%. [2025-12-20T14:25:26.105Z] Top recommended movies for user id 72: [2025-12-20T14:25:26.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:25:26.105Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:25:26.105Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:25:26.105Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:25:26.105Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:25:26.105Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21987.624 ms) ====== [2025-12-20T14:25:26.105Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T14:25:26.105Z] GC before operation: completed in 166.269 ms, heap usage 162.439 MB -> 97.704 MB. [2025-12-20T14:25:28.943Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:25:30.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:25:33.856Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:25:35.880Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:25:37.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:25:38.833Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:25:40.121Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:25:42.151Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:25:42.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:25:42.151Z] The best model improves the baseline by 14.34%. [2025-12-20T14:25:42.151Z] Top recommended movies for user id 72: [2025-12-20T14:25:42.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:25:42.151Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:25:42.151Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:25:42.151Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:25:42.151Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:25:42.151Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16025.781 ms) ====== [2025-12-20T14:25:42.151Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T14:25:42.151Z] GC before operation: completed in 189.339 ms, heap usage 213.426 MB -> 87.692 MB. [2025-12-20T14:25:44.963Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:25:47.781Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:25:50.594Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:25:52.617Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:25:54.641Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:25:55.258Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:25:57.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:25:58.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:25:58.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:25:58.601Z] The best model improves the baseline by 14.34%. [2025-12-20T14:25:59.218Z] Top recommended movies for user id 72: [2025-12-20T14:25:59.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:25:59.218Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:25:59.218Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:25:59.218Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:25:59.218Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:25:59.218Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16669.684 ms) ====== [2025-12-20T14:25:59.218Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T14:25:59.218Z] GC before operation: completed in 233.221 ms, heap usage 192.110 MB -> 89.486 MB. [2025-12-20T14:26:02.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:26:04.099Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:26:06.123Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:26:08.962Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:26:10.246Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:26:11.594Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:26:12.879Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:26:14.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:26:14.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:26:15.260Z] The best model improves the baseline by 14.34%. [2025-12-20T14:26:15.260Z] Top recommended movies for user id 72: [2025-12-20T14:26:15.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:26:15.260Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:26:15.260Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:26:15.260Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:26:15.260Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:26:15.260Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15817.057 ms) ====== [2025-12-20T14:26:15.260Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T14:26:15.260Z] GC before operation: completed in 220.845 ms, heap usage 249.040 MB -> 88.705 MB. [2025-12-20T14:26:18.098Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:26:20.115Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:26:22.962Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:26:24.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:26:25.544Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:26:26.832Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:26:28.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:26:30.181Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:26:30.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:26:30.810Z] The best model improves the baseline by 14.34%. [2025-12-20T14:26:30.810Z] Top recommended movies for user id 72: [2025-12-20T14:26:30.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:26:30.810Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:26:30.810Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:26:30.810Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:26:30.810Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:26:30.810Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15275.894 ms) ====== [2025-12-20T14:26:30.810Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T14:26:30.810Z] GC before operation: completed in 172.240 ms, heap usage 248.018 MB -> 88.731 MB. [2025-12-20T14:26:32.840Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:26:35.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:26:37.677Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:26:39.714Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:26:41.743Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:26:43.028Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:26:44.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:26:45.658Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:26:45.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:26:45.658Z] The best model improves the baseline by 14.34%. [2025-12-20T14:26:46.275Z] Top recommended movies for user id 72: [2025-12-20T14:26:46.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:26:46.275Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:26:46.275Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:26:46.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:26:46.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:26:46.275Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15230.254 ms) ====== [2025-12-20T14:26:46.275Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T14:26:46.275Z] GC before operation: completed in 136.664 ms, heap usage 202.545 MB -> 88.923 MB. [2025-12-20T14:26:48.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:26:51.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:26:53.160Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:26:55.540Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:26:56.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:26:58.185Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:26:59.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:27:01.599Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:27:01.599Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:27:01.599Z] The best model improves the baseline by 14.34%. [2025-12-20T14:27:01.599Z] Top recommended movies for user id 72: [2025-12-20T14:27:01.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:27:01.599Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:27:01.599Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:27:01.599Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:27:01.599Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:27:01.599Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15502.683 ms) ====== [2025-12-20T14:27:01.599Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T14:27:01.599Z] GC before operation: completed in 212.280 ms, heap usage 103.123 MB -> 89.069 MB. [2025-12-20T14:27:04.468Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:27:06.496Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:27:08.502Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:27:10.515Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:27:12.538Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:27:13.829Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:27:15.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:27:17.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:27:17.143Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:27:17.143Z] The best model improves the baseline by 14.34%. [2025-12-20T14:27:17.143Z] Top recommended movies for user id 72: [2025-12-20T14:27:17.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:27:17.143Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:27:17.143Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:27:17.143Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:27:17.143Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:27:17.143Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15555.260 ms) ====== [2025-12-20T14:27:17.143Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T14:27:17.762Z] GC before operation: completed in 169.501 ms, heap usage 270.617 MB -> 89.355 MB. [2025-12-20T14:27:19.808Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:27:22.663Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:27:24.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:27:26.854Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:27:28.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:27:29.516Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:27:30.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:27:31.921Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:27:31.921Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:27:31.921Z] The best model improves the baseline by 14.34%. [2025-12-20T14:27:32.548Z] Top recommended movies for user id 72: [2025-12-20T14:27:32.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:27:32.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:27:32.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:27:32.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:27:32.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:27:32.548Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14661.604 ms) ====== [2025-12-20T14:27:32.548Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T14:27:32.548Z] GC before operation: completed in 138.610 ms, heap usage 200.124 MB -> 88.970 MB. [2025-12-20T14:27:35.409Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:27:36.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:27:39.634Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:27:40.986Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:27:42.276Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:27:43.574Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:27:44.856Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:27:45.566Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:27:46.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:27:46.188Z] The best model improves the baseline by 14.34%. [2025-12-20T14:27:46.188Z] Top recommended movies for user id 72: [2025-12-20T14:27:46.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:27:46.188Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:27:46.188Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:27:46.188Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:27:46.188Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:27:46.188Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13740.026 ms) ====== [2025-12-20T14:27:46.188Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T14:27:46.188Z] GC before operation: completed in 142.023 ms, heap usage 313.102 MB -> 89.325 MB. [2025-12-20T14:27:48.244Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:27:50.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:27:52.302Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:27:54.330Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:27:55.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:27:56.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:27:58.238Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:27:58.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:27:59.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:27:59.481Z] The best model improves the baseline by 14.34%. [2025-12-20T14:27:59.481Z] Top recommended movies for user id 72: [2025-12-20T14:27:59.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:27:59.482Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:27:59.482Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:27:59.482Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:27:59.482Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:27:59.482Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13175.504 ms) ====== [2025-12-20T14:27:59.482Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T14:27:59.482Z] GC before operation: completed in 146.627 ms, heap usage 113.456 MB -> 88.795 MB. [2025-12-20T14:28:01.514Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:28:03.543Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:28:06.382Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:28:07.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:28:08.968Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:28:10.642Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:28:11.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:28:13.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:28:13.285Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:28:13.285Z] The best model improves the baseline by 14.34%. [2025-12-20T14:28:13.285Z] Top recommended movies for user id 72: [2025-12-20T14:28:13.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:28:13.285Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:28:13.285Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:28:13.285Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:28:13.285Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:28:13.285Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13887.186 ms) ====== [2025-12-20T14:28:13.285Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T14:28:13.919Z] GC before operation: completed in 137.664 ms, heap usage 217.060 MB -> 89.071 MB. [2025-12-20T14:28:16.072Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:28:18.110Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:28:20.121Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:28:21.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:28:22.724Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:28:24.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:28:25.314Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:28:26.612Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:28:26.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:28:26.612Z] The best model improves the baseline by 14.34%. [2025-12-20T14:28:26.612Z] Top recommended movies for user id 72: [2025-12-20T14:28:26.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:28:26.612Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:28:26.612Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:28:26.612Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:28:26.612Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:28:26.612Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13198.835 ms) ====== [2025-12-20T14:28:26.612Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T14:28:27.272Z] GC before operation: completed in 164.613 ms, heap usage 141.484 MB -> 89.214 MB. [2025-12-20T14:28:29.337Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:28:31.384Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:28:33.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:28:35.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:28:36.045Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:28:37.342Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:28:38.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:28:41.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:28:41.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:28:41.016Z] The best model improves the baseline by 14.34%. [2025-12-20T14:28:41.016Z] Top recommended movies for user id 72: [2025-12-20T14:28:41.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:28:41.016Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:28:41.016Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:28:41.016Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:28:41.016Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:28:41.016Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13649.807 ms) ====== [2025-12-20T14:28:41.016Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T14:28:41.016Z] GC before operation: completed in 169.788 ms, heap usage 243.569 MB -> 89.234 MB. [2025-12-20T14:28:43.037Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:28:45.068Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:28:47.085Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:28:49.120Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:28:50.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:28:51.696Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:28:52.981Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:28:54.282Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:28:54.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:28:54.282Z] The best model improves the baseline by 14.34%. [2025-12-20T14:28:54.282Z] Top recommended movies for user id 72: [2025-12-20T14:28:54.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:28:54.282Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:28:54.282Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:28:54.282Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:28:54.282Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:28:54.282Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13624.861 ms) ====== [2025-12-20T14:28:54.282Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T14:28:54.282Z] GC before operation: completed in 139.322 ms, heap usage 305.249 MB -> 89.464 MB. [2025-12-20T14:28:57.103Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:28:58.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:29:00.430Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:29:02.480Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:29:03.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:29:05.064Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:29:06.400Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:29:07.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:29:07.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:29:07.757Z] The best model improves the baseline by 14.34%. [2025-12-20T14:29:07.757Z] Top recommended movies for user id 72: [2025-12-20T14:29:07.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:29:07.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:29:07.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:29:07.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:29:07.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:29:07.757Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13376.634 ms) ====== [2025-12-20T14:29:07.757Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T14:29:08.383Z] GC before operation: completed in 139.069 ms, heap usage 226.123 MB -> 89.205 MB. [2025-12-20T14:29:10.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:29:11.721Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:29:14.534Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:29:16.548Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:29:17.838Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:29:19.124Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:29:20.539Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:29:21.834Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:29:21.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:29:21.834Z] The best model improves the baseline by 14.34%. [2025-12-20T14:29:21.834Z] Top recommended movies for user id 72: [2025-12-20T14:29:21.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:29:21.834Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:29:21.834Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:29:21.834Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:29:21.834Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:29:21.834Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13971.743 ms) ====== [2025-12-20T14:29:21.834Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T14:29:22.480Z] GC before operation: completed in 162.226 ms, heap usage 176.493 MB -> 89.255 MB. [2025-12-20T14:29:24.496Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:29:26.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:29:28.536Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:29:31.358Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:29:32.641Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:29:33.256Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:29:34.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:29:35.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:29:36.452Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:29:36.452Z] The best model improves the baseline by 14.34%. [2025-12-20T14:29:36.452Z] Top recommended movies for user id 72: [2025-12-20T14:29:36.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:29:36.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:29:36.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:29:36.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:29:36.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:29:36.452Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14127.474 ms) ====== [2025-12-20T14:29:36.452Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T14:29:36.452Z] GC before operation: completed in 113.473 ms, heap usage 352.569 MB -> 89.336 MB. [2025-12-20T14:29:38.476Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:29:40.495Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:29:43.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:29:45.367Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:29:46.661Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:29:47.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:29:49.229Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:29:51.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:29:51.242Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:29:51.242Z] The best model improves the baseline by 14.34%. [2025-12-20T14:29:51.242Z] Top recommended movies for user id 72: [2025-12-20T14:29:51.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:29:51.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:29:51.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:29:51.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:29:51.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:29:51.242Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14910.577 ms) ====== [2025-12-20T14:29:51.242Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T14:29:51.858Z] GC before operation: completed in 211.663 ms, heap usage 180.283 MB -> 89.161 MB. [2025-12-20T14:29:53.877Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:29:56.703Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:29:59.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:30:00.427Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:30:02.487Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:30:03.124Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:30:04.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:30:05.703Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:30:06.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T14:30:06.321Z] The best model improves the baseline by 14.34%. [2025-12-20T14:30:06.321Z] Top recommended movies for user id 72: [2025-12-20T14:30:06.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T14:30:06.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T14:30:06.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T14:30:06.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T14:30:06.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T14:30:06.321Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14680.924 ms) ====== [2025-12-20T14:30:06.321Z] ----------------------------------- [2025-12-20T14:30:06.321Z] renaissance-movie-lens_0_PASSED [2025-12-20T14:30:06.321Z] ----------------------------------- [2025-12-20T14:30:06.321Z] [2025-12-20T14:30:06.321Z] TEST TEARDOWN: [2025-12-20T14:30:06.321Z] Nothing to be done for teardown. [2025-12-20T14:30:06.321Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 14:30:06 2025 Epoch Time (ms): 1766241006248