[2026-02-18T22:52:39.616Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:52:39.616Z] =============================================== [2026-02-18T22:52:39.616Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:52:38 2026 Epoch Time (ms): 1771455158308 [2026-02-18T22:52:39.616Z] variation: NoOptions [2026-02-18T22:52:39.616Z] JVM_OPTIONS: [2026-02-18T22:52:39.616Z] { \ [2026-02-18T22:52:39.616Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:52:39.616Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:52:39.616Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714543233455/renaissance-movie-lens_0"; \ [2026-02-18T22:52:39.616Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714543233455/renaissance-movie-lens_0"; \ [2026-02-18T22:52:39.616Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:52:39.616Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714543233455/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:52:39.616Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714543233455/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:52:39.616Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:52:39.616Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:52:39.616Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714543233455/TestTargetResult"; [2026-02-18T22:52:39.616Z] [2026-02-18T22:52:39.616Z] TEST SETUP: [2026-02-18T22:52:39.616Z] Nothing to be done for setup. [2026-02-18T22:52:39.616Z] [2026-02-18T22:52:39.616Z] TESTING: [2026-02-18T22:52:43.794Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:52:50.530Z] 22:52:49.967 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T22:52:52.497Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:52:53.457Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:52:53.457Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:52:53.457Z] GC before operation: completed in 154.969 ms, heap usage 610.500 MB -> 75.774 MB. [2026-02-18T22:52:58.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:53:01.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:53:04.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:53:09.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:53:10.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:53:10.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:53:12.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:53:13.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:53:14.895Z] 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. [2026-02-18T22:53:14.895Z] The best model improves the baseline by 14.52%. [2026-02-18T22:53:14.895Z] Top recommended movies for user id 72: [2026-02-18T22:53:14.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:53:14.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:53:14.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:53:14.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:53:14.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:53:14.895Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21601.743 ms) ====== [2026-02-18T22:53:14.895Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:53:14.895Z] GC before operation: completed in 130.486 ms, heap usage 425.401 MB -> 93.544 MB. [2026-02-18T22:53:17.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:53:19.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:53:22.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:53:25.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:53:26.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:53:28.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:53:29.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:53:31.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:53:31.901Z] 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. [2026-02-18T22:53:31.901Z] The best model improves the baseline by 14.52%. [2026-02-18T22:53:32.860Z] Top recommended movies for user id 72: [2026-02-18T22:53:32.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:53:32.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:53:32.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:53:32.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:53:32.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:53:32.861Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17426.595 ms) ====== [2026-02-18T22:53:32.861Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:53:32.861Z] GC before operation: completed in 140.910 ms, heap usage 266.507 MB -> 88.626 MB. [2026-02-18T22:53:34.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:53:37.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:53:39.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:53:42.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:53:43.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:53:46.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:53:46.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:53:48.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:53:48.934Z] 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. [2026-02-18T22:53:48.934Z] The best model improves the baseline by 14.52%. [2026-02-18T22:53:48.934Z] Top recommended movies for user id 72: [2026-02-18T22:53:48.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:53:48.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:53:48.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:53:48.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:53:48.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:53:48.934Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16390.558 ms) ====== [2026-02-18T22:53:48.934Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:53:48.934Z] GC before operation: completed in 134.388 ms, heap usage 277.969 MB -> 89.204 MB. [2026-02-18T22:53:51.980Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:53:53.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:53:55.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:53:57.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:53:59.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:54:00.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:54:02.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:54:03.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:54:03.804Z] 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. [2026-02-18T22:54:04.761Z] The best model improves the baseline by 14.52%. [2026-02-18T22:54:04.761Z] Top recommended movies for user id 72: [2026-02-18T22:54:04.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:54:04.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:54:04.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:54:04.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:54:04.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:54:04.761Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15351.325 ms) ====== [2026-02-18T22:54:04.761Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:54:04.761Z] GC before operation: completed in 126.553 ms, heap usage 244.923 MB -> 89.494 MB. [2026-02-18T22:54:06.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:54:08.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:54:11.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:54:13.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:54:15.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:54:16.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:54:18.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:54:19.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:54:20.594Z] 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. [2026-02-18T22:54:20.594Z] The best model improves the baseline by 14.52%. [2026-02-18T22:54:20.594Z] Top recommended movies for user id 72: [2026-02-18T22:54:20.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:54:20.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:54:20.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:54:20.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:54:20.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:54:20.594Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15787.335 ms) ====== [2026-02-18T22:54:20.594Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:54:20.594Z] GC before operation: completed in 127.276 ms, heap usage 184.041 MB -> 95.143 MB. [2026-02-18T22:54:22.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:54:25.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:54:27.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:54:29.542Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:54:31.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:54:32.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:54:33.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:54:35.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:54:35.412Z] 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. [2026-02-18T22:54:35.412Z] The best model improves the baseline by 14.52%. [2026-02-18T22:54:35.412Z] Top recommended movies for user id 72: [2026-02-18T22:54:35.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:54:35.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:54:35.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:54:35.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:54:35.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:54:35.412Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15018.996 ms) ====== [2026-02-18T22:54:35.412Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:54:35.412Z] GC before operation: completed in 129.339 ms, heap usage 259.261 MB -> 95.649 MB. [2026-02-18T22:54:38.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:54:40.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:54:42.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:54:44.384Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:54:46.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:54:47.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:54:49.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:54:50.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:54:50.244Z] 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. [2026-02-18T22:54:50.244Z] The best model improves the baseline by 14.52%. [2026-02-18T22:54:50.244Z] Top recommended movies for user id 72: [2026-02-18T22:54:50.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:54:50.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:54:50.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:54:50.244Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:54:50.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:54:50.244Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14826.113 ms) ====== [2026-02-18T22:54:50.244Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:54:50.244Z] GC before operation: completed in 152.678 ms, heap usage 695.257 MB -> 97.334 MB. [2026-02-18T22:54:53.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:54:55.267Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:54:58.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:54:58.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:55:00.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:55:01.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:55:02.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:55:04.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:55:04.866Z] 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. [2026-02-18T22:55:04.866Z] The best model improves the baseline by 14.52%. [2026-02-18T22:55:04.866Z] Top recommended movies for user id 72: [2026-02-18T22:55:04.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:55:04.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:55:04.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:55:04.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:55:04.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:55:04.866Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14224.625 ms) ====== [2026-02-18T22:55:04.866Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:55:04.866Z] GC before operation: completed in 115.218 ms, heap usage 367.237 MB -> 92.409 MB. [2026-02-18T22:55:06.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:55:09.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:55:11.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:55:13.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:55:14.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:55:15.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:55:17.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:55:18.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:55:18.678Z] 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. [2026-02-18T22:55:18.678Z] The best model improves the baseline by 14.52%. [2026-02-18T22:55:19.637Z] Top recommended movies for user id 72: [2026-02-18T22:55:19.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:55:19.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:55:19.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:55:19.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:55:19.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:55:19.637Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14328.414 ms) ====== [2026-02-18T22:55:19.637Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:55:19.637Z] GC before operation: completed in 140.996 ms, heap usage 181.005 MB -> 92.149 MB. [2026-02-18T22:55:21.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:55:23.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:55:25.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:55:27.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:55:28.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:55:30.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:55:31.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:55:32.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:55:33.342Z] 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. [2026-02-18T22:55:33.342Z] The best model improves the baseline by 14.52%. [2026-02-18T22:55:33.342Z] Top recommended movies for user id 72: [2026-02-18T22:55:33.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:55:33.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:55:33.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:55:33.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:55:33.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:55:33.342Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13655.919 ms) ====== [2026-02-18T22:55:33.342Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:55:33.342Z] GC before operation: completed in 113.681 ms, heap usage 189.061 MB -> 95.905 MB. [2026-02-18T22:55:35.312Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:55:37.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:55:39.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:55:41.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:55:42.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:55:44.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:55:45.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:55:46.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:55:47.150Z] 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. [2026-02-18T22:55:47.150Z] The best model improves the baseline by 14.52%. [2026-02-18T22:55:47.150Z] Top recommended movies for user id 72: [2026-02-18T22:55:47.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:55:47.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:55:47.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:55:47.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:55:47.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:55:47.150Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13672.345 ms) ====== [2026-02-18T22:55:47.150Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:55:47.150Z] GC before operation: completed in 110.682 ms, heap usage 256.316 MB -> 95.453 MB. [2026-02-18T22:55:49.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:55:52.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:55:54.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:55:56.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:55:57.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:55:59.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:56:00.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:56:02.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:56:02.021Z] 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. [2026-02-18T22:56:02.021Z] The best model improves the baseline by 14.52%. [2026-02-18T22:56:02.021Z] Top recommended movies for user id 72: [2026-02-18T22:56:02.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:56:02.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:56:02.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:56:02.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:56:02.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:56:02.021Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15001.991 ms) ====== [2026-02-18T22:56:02.021Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:56:02.021Z] GC before operation: completed in 135.476 ms, heap usage 384.574 MB -> 92.471 MB. [2026-02-18T22:56:05.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:56:07.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:56:10.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:56:12.115Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:56:13.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:56:15.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:56:16.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:56:16.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:56:16.965Z] 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. [2026-02-18T22:56:16.965Z] The best model improves the baseline by 14.52%. [2026-02-18T22:56:17.930Z] Top recommended movies for user id 72: [2026-02-18T22:56:17.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:56:17.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:56:17.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:56:17.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:56:17.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:56:17.930Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15297.031 ms) ====== [2026-02-18T22:56:17.930Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:56:17.930Z] GC before operation: completed in 145.922 ms, heap usage 630.258 MB -> 96.203 MB. [2026-02-18T22:56:20.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:56:21.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:56:24.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:56:25.293Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:56:27.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:56:28.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:56:29.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:56:31.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:56:31.174Z] 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. [2026-02-18T22:56:31.174Z] The best model improves the baseline by 14.52%. [2026-02-18T22:56:31.174Z] Top recommended movies for user id 72: [2026-02-18T22:56:31.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:56:31.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:56:31.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:56:31.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:56:31.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:56:31.175Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13570.888 ms) ====== [2026-02-18T22:56:31.175Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:56:31.175Z] GC before operation: completed in 117.307 ms, heap usage 159.470 MB -> 89.761 MB. [2026-02-18T22:56:33.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:56:36.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:56:38.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:56:40.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:56:42.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:56:43.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:56:45.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:56:46.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:56:46.012Z] 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. [2026-02-18T22:56:46.012Z] The best model improves the baseline by 14.52%. [2026-02-18T22:56:46.012Z] Top recommended movies for user id 72: [2026-02-18T22:56:46.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:56:46.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:56:46.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:56:46.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:56:46.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:56:46.012Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14955.922 ms) ====== [2026-02-18T22:56:46.012Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:56:46.012Z] GC before operation: completed in 168.679 ms, heap usage 806.206 MB -> 96.611 MB. [2026-02-18T22:56:49.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:56:51.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:56:52.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:56:54.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:56:56.919Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:56:57.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:56:58.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:57:00.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:57:00.808Z] 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. [2026-02-18T22:57:00.808Z] The best model improves the baseline by 14.52%. [2026-02-18T22:57:00.808Z] Top recommended movies for user id 72: [2026-02-18T22:57:00.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:57:00.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:57:00.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:57:00.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:57:00.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:57:00.844Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14660.665 ms) ====== [2026-02-18T22:57:00.844Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:57:00.844Z] GC before operation: completed in 126.176 ms, heap usage 402.440 MB -> 93.879 MB. [2026-02-18T22:57:03.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:57:05.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:57:08.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:57:09.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:57:11.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:57:12.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:57:14.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:57:15.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:57:15.475Z] 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. [2026-02-18T22:57:15.475Z] The best model improves the baseline by 14.52%. [2026-02-18T22:57:15.475Z] Top recommended movies for user id 72: [2026-02-18T22:57:15.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:57:15.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:57:15.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:57:15.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:57:15.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:57:15.475Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14701.637 ms) ====== [2026-02-18T22:57:15.475Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:57:16.434Z] GC before operation: completed in 128.045 ms, heap usage 626.537 MB -> 93.798 MB. [2026-02-18T22:57:18.401Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:57:21.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:57:23.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:57:25.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:57:27.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:57:28.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:57:29.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:57:31.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:57:31.278Z] 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. [2026-02-18T22:57:31.278Z] The best model improves the baseline by 14.52%. [2026-02-18T22:57:31.278Z] Top recommended movies for user id 72: [2026-02-18T22:57:31.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:57:31.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:57:31.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:57:31.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:57:31.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:57:31.278Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15250.424 ms) ====== [2026-02-18T22:57:31.278Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:57:31.278Z] GC before operation: completed in 131.848 ms, heap usage 192.875 MB -> 95.490 MB. [2026-02-18T22:57:33.322Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:57:36.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:57:38.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:57:40.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:57:41.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:57:42.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:57:44.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:57:45.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:57:45.281Z] 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. [2026-02-18T22:57:45.281Z] The best model improves the baseline by 14.52%. [2026-02-18T22:57:46.239Z] Top recommended movies for user id 72: [2026-02-18T22:57:46.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:57:46.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:57:46.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:57:46.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:57:46.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:57:46.239Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14391.848 ms) ====== [2026-02-18T22:57:46.239Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:57:46.239Z] GC before operation: completed in 120.872 ms, heap usage 627.645 MB -> 98.534 MB. [2026-02-18T22:57:48.213Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:57:50.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:57:52.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:57:55.242Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:57:56.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:57:57.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:57:58.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:57:59.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:57:59.846Z] 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. [2026-02-18T22:57:59.846Z] The best model improves the baseline by 14.52%. [2026-02-18T22:57:59.846Z] Top recommended movies for user id 72: [2026-02-18T22:57:59.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:57:59.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:57:59.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:57:59.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:57:59.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:57:59.846Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14179.977 ms) ====== [2026-02-18T22:58:00.810Z] ----------------------------------- [2026-02-18T22:58:00.810Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:58:00.810Z] ----------------------------------- [2026-02-18T22:58:00.810Z] [2026-02-18T22:58:00.810Z] TEST TEARDOWN: [2026-02-18T22:58:00.810Z] Nothing to be done for teardown. [2026-02-18T22:58:00.810Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:58:00 2026 Epoch Time (ms): 1771455480066