[2026-02-13T04:40:01.723Z] Running test renaissance-movie-lens_0 ... [2026-02-13T04:40:01.723Z] =============================================== [2026-02-13T04:40:01.723Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 04:40:00 2026 Epoch Time (ms): 1770957600860 [2026-02-13T04:40:01.723Z] variation: NoOptions [2026-02-13T04:40:01.723Z] JVM_OPTIONS: [2026-02-13T04:40:01.723Z] { \ [2026-02-13T04:40:01.723Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T04:40:01.723Z] echo "Nothing to be done for setup."; \ [2026-02-13T04:40:01.723Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709562866448/renaissance-movie-lens_0"; \ [2026-02-13T04:40:01.723Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709562866448/renaissance-movie-lens_0"; \ [2026-02-13T04:40:01.723Z] echo ""; echo "TESTING:"; \ [2026-02-13T04:40:01.723Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709562866448/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T04:40:01.723Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709562866448/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T04:40:01.723Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T04:40:01.723Z] echo "Nothing to be done for teardown."; \ [2026-02-13T04:40:01.723Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17709562866448/TestTargetResult"; [2026-02-13T04:40:01.723Z] [2026-02-13T04:40:01.723Z] TEST SETUP: [2026-02-13T04:40:01.723Z] Nothing to be done for setup. [2026-02-13T04:40:01.723Z] [2026-02-13T04:40:01.723Z] TESTING: [2026-02-13T04:40:09.189Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T04:40:23.303Z] 04:40:21.663 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. [2026-02-13T04:40:24.270Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T04:40:24.270Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T04:40:24.270Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T04:40:25.246Z] GC before operation: completed in 112.292 ms, heap usage 287.051 MB -> 75.877 MB. [2026-02-13T04:40:34.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:40:40.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:40:45.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:40:50.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:40:52.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:40:54.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:40:56.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:40:58.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:40:59.393Z] 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. [2026-02-13T04:40:59.393Z] The best model improves the baseline by 14.52%. [2026-02-13T04:40:59.393Z] Top recommended movies for user id 72: [2026-02-13T04:40:59.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:40:59.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:40:59.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:40:59.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:40:59.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:40:59.393Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34670.003 ms) ====== [2026-02-13T04:40:59.393Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T04:40:59.393Z] GC before operation: completed in 218.946 ms, heap usage 197.361 MB -> 98.094 MB. [2026-02-13T04:41:03.620Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:41:08.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:41:11.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:41:16.201Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:41:18.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:41:20.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:41:23.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:41:25.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:41:26.780Z] 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. [2026-02-13T04:41:26.780Z] The best model improves the baseline by 14.52%. [2026-02-13T04:41:26.780Z] Top recommended movies for user id 72: [2026-02-13T04:41:26.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:41:26.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:41:26.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:41:26.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:41:26.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:41:26.780Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26972.861 ms) ====== [2026-02-13T04:41:26.780Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T04:41:26.780Z] GC before operation: completed in 177.696 ms, heap usage 429.912 MB -> 88.964 MB. [2026-02-13T04:41:31.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:41:34.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:41:37.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:41:42.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:41:44.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:41:46.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:41:48.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:41:49.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:41:49.594Z] 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. [2026-02-13T04:41:49.594Z] The best model improves the baseline by 14.52%. [2026-02-13T04:41:49.594Z] Top recommended movies for user id 72: [2026-02-13T04:41:49.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:41:49.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:41:49.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:41:49.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:41:49.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:41:49.594Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23026.630 ms) ====== [2026-02-13T04:41:49.594Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T04:41:49.594Z] GC before operation: completed in 149.771 ms, heap usage 450.520 MB -> 89.747 MB. [2026-02-13T04:41:52.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:41:55.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:41:58.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:42:01.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:42:03.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:42:05.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:42:07.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:42:09.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:42:09.823Z] 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. [2026-02-13T04:42:09.823Z] The best model improves the baseline by 14.52%. [2026-02-13T04:42:09.823Z] Top recommended movies for user id 72: [2026-02-13T04:42:09.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:42:09.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:42:09.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:42:09.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:42:09.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:42:09.823Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19804.609 ms) ====== [2026-02-13T04:42:09.823Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T04:42:09.823Z] GC before operation: completed in 155.629 ms, heap usage 112.678 MB -> 89.627 MB. [2026-02-13T04:42:12.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:42:15.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:42:19.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:42:22.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:42:23.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:42:25.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:42:27.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:42:29.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:42:29.096Z] 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. [2026-02-13T04:42:29.096Z] The best model improves the baseline by 14.52%. [2026-02-13T04:42:29.096Z] Top recommended movies for user id 72: [2026-02-13T04:42:29.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:42:29.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:42:29.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:42:29.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:42:29.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:42:29.096Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19021.948 ms) ====== [2026-02-13T04:42:29.096Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T04:42:29.096Z] GC before operation: completed in 150.532 ms, heap usage 293.773 MB -> 89.775 MB. [2026-02-13T04:42:32.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:42:35.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:42:38.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:42:41.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:42:42.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:42:44.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:42:46.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:42:47.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:42:47.953Z] 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. [2026-02-13T04:42:47.953Z] The best model improves the baseline by 14.52%. [2026-02-13T04:42:48.917Z] Top recommended movies for user id 72: [2026-02-13T04:42:48.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:42:48.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:42:48.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:42:48.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:42:48.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:42:48.917Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19272.643 ms) ====== [2026-02-13T04:42:48.917Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T04:42:48.917Z] GC before operation: completed in 147.278 ms, heap usage 99.835 MB -> 90.216 MB. [2026-02-13T04:42:51.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:42:53.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:42:57.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:43:00.079Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:43:01.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:43:03.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:43:05.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:43:06.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:43:06.987Z] 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. [2026-02-13T04:43:06.987Z] The best model improves the baseline by 14.52%. [2026-02-13T04:43:06.987Z] Top recommended movies for user id 72: [2026-02-13T04:43:06.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:43:06.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:43:06.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:43:06.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:43:06.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:43:06.987Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18414.477 ms) ====== [2026-02-13T04:43:06.987Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T04:43:06.987Z] GC before operation: completed in 161.204 ms, heap usage 459.516 MB -> 90.390 MB. [2026-02-13T04:43:10.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:43:12.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:43:16.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:43:18.413Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:43:20.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:43:22.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:43:24.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:43:25.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:43:25.333Z] 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. [2026-02-13T04:43:25.333Z] The best model improves the baseline by 14.52%. [2026-02-13T04:43:26.297Z] Top recommended movies for user id 72: [2026-02-13T04:43:26.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:43:26.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:43:26.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:43:26.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:43:26.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:43:26.297Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18725.361 ms) ====== [2026-02-13T04:43:26.297Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T04:43:26.297Z] GC before operation: completed in 200.960 ms, heap usage 181.407 MB -> 90.212 MB. [2026-02-13T04:43:29.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:43:31.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:43:34.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:43:37.482Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:43:39.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:43:40.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:43:42.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:43:44.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:43:44.405Z] 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. [2026-02-13T04:43:44.405Z] The best model improves the baseline by 14.52%. [2026-02-13T04:43:44.405Z] Top recommended movies for user id 72: [2026-02-13T04:43:44.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:43:44.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:43:44.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:43:44.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:43:44.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:43:44.405Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18426.884 ms) ====== [2026-02-13T04:43:44.405Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T04:43:44.405Z] GC before operation: completed in 138.846 ms, heap usage 114.571 MB -> 92.732 MB. [2026-02-13T04:43:48.173Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:43:50.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:43:54.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:43:57.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:43:59.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:44:00.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:44:02.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:44:04.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:44:04.377Z] 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. [2026-02-13T04:44:04.377Z] The best model improves the baseline by 14.52%. [2026-02-13T04:44:04.377Z] Top recommended movies for user id 72: [2026-02-13T04:44:04.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:44:04.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:44:04.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:44:04.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:44:04.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:44:04.377Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19947.188 ms) ====== [2026-02-13T04:44:04.377Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T04:44:04.377Z] GC before operation: completed in 142.173 ms, heap usage 107.548 MB -> 90.147 MB. [2026-02-13T04:44:07.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:44:10.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:44:13.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:44:15.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:44:17.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:44:19.531Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:44:21.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:44:23.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:44:23.500Z] 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. [2026-02-13T04:44:23.500Z] The best model improves the baseline by 14.52%. [2026-02-13T04:44:23.500Z] Top recommended movies for user id 72: [2026-02-13T04:44:23.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:44:23.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:44:23.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:44:23.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:44:23.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:44:23.500Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18682.411 ms) ====== [2026-02-13T04:44:23.500Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T04:44:23.500Z] GC before operation: completed in 160.995 ms, heap usage 371.341 MB -> 90.223 MB. [2026-02-13T04:44:26.558Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:44:29.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:44:32.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:44:35.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:44:36.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:44:38.708Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:44:40.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:44:42.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:44:42.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T04:44:42.673Z] The best model improves the baseline by 14.52%. [2026-02-13T04:44:42.673Z] Top recommended movies for user id 72: [2026-02-13T04:44:42.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:44:42.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:44:42.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:44:42.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:44:42.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:44:42.673Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19063.053 ms) ====== [2026-02-13T04:44:42.673Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T04:44:42.673Z] GC before operation: completed in 135.676 ms, heap usage 119.971 MB -> 90.058 MB. [2026-02-13T04:44:45.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:44:48.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:44:51.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:44:53.425Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:44:55.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:44:56.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:44:58.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:45:00.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:45:00.360Z] 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. [2026-02-13T04:45:00.360Z] The best model improves the baseline by 14.52%. [2026-02-13T04:45:00.360Z] Top recommended movies for user id 72: [2026-02-13T04:45:00.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:45:00.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:45:00.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:45:00.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:45:00.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:45:00.360Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17998.243 ms) ====== [2026-02-13T04:45:00.360Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T04:45:01.324Z] GC before operation: completed in 170.034 ms, heap usage 124.236 MB -> 92.247 MB. [2026-02-13T04:45:04.388Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:45:07.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:45:10.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:45:12.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:45:14.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:45:16.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:45:18.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:45:19.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:45:20.423Z] 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. [2026-02-13T04:45:20.423Z] The best model improves the baseline by 14.52%. [2026-02-13T04:45:20.423Z] Top recommended movies for user id 72: [2026-02-13T04:45:20.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:45:20.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:45:20.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:45:20.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:45:20.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:45:20.423Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19413.320 ms) ====== [2026-02-13T04:45:20.423Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T04:45:20.423Z] GC before operation: completed in 222.758 ms, heap usage 376.624 MB -> 90.367 MB. [2026-02-13T04:45:23.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:45:26.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:45:29.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:45:31.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:45:33.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:45:34.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:45:36.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:45:38.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:45:38.581Z] 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. [2026-02-13T04:45:38.581Z] The best model improves the baseline by 14.52%. [2026-02-13T04:45:38.581Z] Top recommended movies for user id 72: [2026-02-13T04:45:38.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:45:38.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:45:38.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:45:38.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:45:38.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:45:38.581Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17960.959 ms) ====== [2026-02-13T04:45:38.581Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T04:45:38.581Z] GC before operation: completed in 135.853 ms, heap usage 302.198 MB -> 90.430 MB. [2026-02-13T04:45:41.643Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:45:44.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:45:47.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:45:50.598Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:45:51.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:45:53.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:45:55.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:45:58.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:45:58.125Z] 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. [2026-02-13T04:45:59.143Z] The best model improves the baseline by 14.52%. [2026-02-13T04:45:59.143Z] Top recommended movies for user id 72: [2026-02-13T04:45:59.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:45:59.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:45:59.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:45:59.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:45:59.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:45:59.143Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20035.423 ms) ====== [2026-02-13T04:45:59.143Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T04:45:59.143Z] GC before operation: completed in 158.611 ms, heap usage 449.817 MB -> 90.465 MB. [2026-02-13T04:46:02.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:46:05.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:46:08.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:46:12.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:46:14.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:46:16.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:46:18.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:46:20.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:46:20.915Z] 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. [2026-02-13T04:46:20.915Z] The best model improves the baseline by 14.52%. [2026-02-13T04:46:21.882Z] Top recommended movies for user id 72: [2026-02-13T04:46:21.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:46:21.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:46:21.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:46:21.882Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:46:21.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:46:21.882Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22549.658 ms) ====== [2026-02-13T04:46:21.882Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T04:46:21.882Z] GC before operation: completed in 170.531 ms, heap usage 391.664 MB -> 90.478 MB. [2026-02-13T04:46:25.022Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:46:29.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:46:32.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:46:36.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:46:39.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:46:41.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:46:42.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:46:44.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:46:45.988Z] 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. [2026-02-13T04:46:45.988Z] The best model improves the baseline by 14.52%. [2026-02-13T04:46:45.988Z] Top recommended movies for user id 72: [2026-02-13T04:46:45.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:46:45.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:46:45.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:46:45.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:46:45.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:46:45.988Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24817.184 ms) ====== [2026-02-13T04:46:45.988Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T04:46:47.506Z] GC before operation: completed in 158.574 ms, heap usage 204.992 MB -> 90.115 MB. [2026-02-13T04:46:49.526Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:46:52.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:46:55.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:46:58.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:47:00.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:47:01.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:47:03.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:47:06.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:47:06.263Z] 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. [2026-02-13T04:47:06.263Z] The best model improves the baseline by 14.52%. [2026-02-13T04:47:06.263Z] Top recommended movies for user id 72: [2026-02-13T04:47:06.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:47:06.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:47:06.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:47:06.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:47:06.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:47:06.263Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19509.753 ms) ====== [2026-02-13T04:47:06.263Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T04:47:06.263Z] GC before operation: completed in 162.486 ms, heap usage 449.345 MB -> 90.603 MB. [2026-02-13T04:47:09.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T04:47:12.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T04:47:15.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T04:47:18.118Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T04:47:20.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T04:47:21.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T04:47:23.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T04:47:24.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T04:47:24.148Z] 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. [2026-02-13T04:47:24.148Z] The best model improves the baseline by 14.52%. [2026-02-13T04:47:24.148Z] Top recommended movies for user id 72: [2026-02-13T04:47:24.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T04:47:24.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T04:47:24.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T04:47:24.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T04:47:24.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T04:47:24.148Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18280.375 ms) ====== [2026-02-13T04:47:25.110Z] ----------------------------------- [2026-02-13T04:47:25.110Z] renaissance-movie-lens_0_PASSED [2026-02-13T04:47:25.110Z] ----------------------------------- [2026-02-13T04:47:25.110Z] [2026-02-13T04:47:25.110Z] TEST TEARDOWN: [2026-02-13T04:47:25.110Z] Nothing to be done for teardown. [2026-02-13T04:47:25.110Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 04:47:24 2026 Epoch Time (ms): 1770958044964