[2026-02-14T00:12:07.613Z] Running test renaissance-movie-lens_0 ... [2026-02-14T00:12:07.613Z] =============================================== [2026-02-14T00:12:07.613Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 00:12:06 2026 Epoch Time (ms): 1771027926886 [2026-02-14T00:12:07.613Z] variation: NoOptions [2026-02-14T00:12:07.613Z] JVM_OPTIONS: [2026-02-14T00:12:07.613Z] { \ [2026-02-14T00:12:07.613Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T00:12:07.613Z] echo "Nothing to be done for setup."; \ [2026-02-14T00:12:07.613Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17710271102396/renaissance-movie-lens_0"; \ [2026-02-14T00:12:07.613Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17710271102396/renaissance-movie-lens_0"; \ [2026-02-14T00:12:07.613Z] echo ""; echo "TESTING:"; \ [2026-02-14T00:12:07.613Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17710271102396/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T00:12:07.613Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17710271102396/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T00:12:07.613Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T00:12:07.613Z] echo "Nothing to be done for teardown."; \ [2026-02-14T00:12:07.613Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17710271102396/TestTargetResult"; [2026-02-14T00:12:07.613Z] [2026-02-14T00:12:07.613Z] TEST SETUP: [2026-02-14T00:12:07.613Z] Nothing to be done for setup. [2026-02-14T00:12:07.613Z] [2026-02-14T00:12:07.614Z] TESTING: [2026-02-14T00:12:11.403Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T00:12:17.330Z] 00:12:16.961 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T00:12:19.597Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T00:12:19.933Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T00:12:19.933Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T00:12:19.933Z] GC before operation: completed in 122.452 ms, heap usage 337.759 MB -> 77.077 MB. [2026-02-14T00:12:25.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:12:29.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:12:32.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:12:34.884Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:12:36.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:12:38.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:12:39.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:12:41.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:12:41.040Z] 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. [2026-02-14T00:12:41.372Z] The best model improves the baseline by 14.52%. [2026-02-14T00:12:41.372Z] Top recommended movies for user id 72: [2026-02-14T00:12:41.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:12:41.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:12:41.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:12:41.372Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:12:41.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:12:41.372Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21399.186 ms) ====== [2026-02-14T00:12:41.372Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T00:12:41.704Z] GC before operation: completed in 165.849 ms, heap usage 250.461 MB -> 89.366 MB. [2026-02-14T00:12:43.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:12:46.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:12:48.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:12:50.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:12:52.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:12:53.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:12:54.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:12:56.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:12:56.333Z] 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. [2026-02-14T00:12:56.333Z] The best model improves the baseline by 14.52%. [2026-02-14T00:12:56.333Z] Top recommended movies for user id 72: [2026-02-14T00:12:56.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:12:56.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:12:56.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:12:56.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:12:56.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:12:56.333Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14802.001 ms) ====== [2026-02-14T00:12:56.333Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T00:12:56.666Z] GC before operation: completed in 103.366 ms, heap usage 328.260 MB -> 89.771 MB. [2026-02-14T00:12:58.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:13:00.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:13:02.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:13:04.533Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:13:06.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:13:07.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:13:08.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:13:09.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:13:09.981Z] 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. [2026-02-14T00:13:09.981Z] The best model improves the baseline by 14.52%. [2026-02-14T00:13:10.320Z] Top recommended movies for user id 72: [2026-02-14T00:13:10.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:13:10.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:13:10.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:13:10.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:13:10.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:13:10.320Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13632.920 ms) ====== [2026-02-14T00:13:10.320Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T00:13:10.320Z] GC before operation: completed in 179.584 ms, heap usage 137.723 MB -> 91.222 MB. [2026-02-14T00:13:12.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:13:14.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:13:16.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:13:18.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:13:19.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:13:21.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:13:22.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:13:23.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:13:23.398Z] 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. [2026-02-14T00:13:23.398Z] The best model improves the baseline by 14.52%. [2026-02-14T00:13:23.728Z] Top recommended movies for user id 72: [2026-02-14T00:13:23.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:13:23.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:13:23.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:13:23.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:13:23.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:13:23.728Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13315.120 ms) ====== [2026-02-14T00:13:23.728Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T00:13:23.728Z] GC before operation: completed in 100.363 ms, heap usage 172.412 MB -> 90.551 MB. [2026-02-14T00:13:26.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:13:27.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:13:29.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:13:31.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:13:32.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:13:33.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:13:35.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:13:36.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:13:36.732Z] 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. [2026-02-14T00:13:36.732Z] The best model improves the baseline by 14.52%. [2026-02-14T00:13:37.063Z] Top recommended movies for user id 72: [2026-02-14T00:13:37.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:13:37.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:13:37.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:13:37.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:13:37.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:13:37.064Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13223.086 ms) ====== [2026-02-14T00:13:37.064Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T00:13:37.064Z] GC before operation: completed in 110.656 ms, heap usage 388.977 MB -> 90.848 MB. [2026-02-14T00:13:39.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:13:40.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:13:42.668Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:13:44.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:13:45.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:13:46.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:13:47.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:13:49.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:13:49.374Z] 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. [2026-02-14T00:13:49.375Z] The best model improves the baseline by 14.52%. [2026-02-14T00:13:49.375Z] Top recommended movies for user id 72: [2026-02-14T00:13:49.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:13:49.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:13:49.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:13:49.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:13:49.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:13:49.375Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12373.925 ms) ====== [2026-02-14T00:13:49.375Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T00:13:49.706Z] GC before operation: completed in 126.537 ms, heap usage 906.386 MB -> 95.542 MB. [2026-02-14T00:13:51.371Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:13:53.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:13:55.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:13:56.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:13:58.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:13:59.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:14:00.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:14:01.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:14:01.571Z] 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. [2026-02-14T00:14:01.571Z] The best model improves the baseline by 14.52%. [2026-02-14T00:14:01.571Z] Top recommended movies for user id 72: [2026-02-14T00:14:01.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:14:01.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:14:01.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:14:01.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:14:01.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:14:01.571Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12072.403 ms) ====== [2026-02-14T00:14:01.571Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T00:14:01.900Z] GC before operation: completed in 118.191 ms, heap usage 289.959 MB -> 90.965 MB. [2026-02-14T00:14:03.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:14:05.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:14:07.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:14:09.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:14:09.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:14:11.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:14:12.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:14:13.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:14:13.718Z] 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. [2026-02-14T00:14:13.718Z] The best model improves the baseline by 14.52%. [2026-02-14T00:14:13.718Z] Top recommended movies for user id 72: [2026-02-14T00:14:13.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:14:13.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:14:13.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:14:13.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:14:13.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:14:13.718Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11993.609 ms) ====== [2026-02-14T00:14:13.718Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T00:14:13.718Z] GC before operation: completed in 102.243 ms, heap usage 402.335 MB -> 91.251 MB. [2026-02-14T00:14:15.981Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:14:17.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:14:19.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:14:21.098Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:14:22.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:14:23.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:14:24.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:14:25.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:14:25.714Z] 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. [2026-02-14T00:14:25.714Z] The best model improves the baseline by 14.52%. [2026-02-14T00:14:26.045Z] Top recommended movies for user id 72: [2026-02-14T00:14:26.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:14:26.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:14:26.046Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:14:26.046Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:14:26.046Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:14:26.046Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12124.765 ms) ====== [2026-02-14T00:14:26.046Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T00:14:26.046Z] GC before operation: completed in 108.604 ms, heap usage 523.926 MB -> 91.397 MB. [2026-02-14T00:14:27.709Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:14:29.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:14:31.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:14:33.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:14:34.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:14:35.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:14:36.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:14:37.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:14:38.295Z] 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. [2026-02-14T00:14:38.295Z] The best model improves the baseline by 14.52%. [2026-02-14T00:14:38.295Z] Top recommended movies for user id 72: [2026-02-14T00:14:38.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:14:38.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:14:38.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:14:38.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:14:38.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:14:38.295Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12217.988 ms) ====== [2026-02-14T00:14:38.295Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T00:14:38.295Z] GC before operation: completed in 102.890 ms, heap usage 545.340 MB -> 91.586 MB. [2026-02-14T00:14:40.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:14:42.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:14:43.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:14:45.554Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:14:46.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:14:47.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:14:49.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:14:50.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:14:50.193Z] 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. [2026-02-14T00:14:50.193Z] The best model improves the baseline by 14.52%. [2026-02-14T00:14:50.193Z] Top recommended movies for user id 72: [2026-02-14T00:14:50.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:14:50.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:14:50.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:14:50.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:14:50.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:14:50.193Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11911.430 ms) ====== [2026-02-14T00:14:50.193Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T00:14:50.524Z] GC before operation: completed in 120.156 ms, heap usage 252.004 MB -> 90.939 MB. [2026-02-14T00:14:52.187Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:14:54.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:14:56.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:14:57.800Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:14:58.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:14:59.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:15:00.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:15:02.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:15:02.336Z] 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. [2026-02-14T00:15:02.336Z] The best model improves the baseline by 14.52%. [2026-02-14T00:15:02.336Z] Top recommended movies for user id 72: [2026-02-14T00:15:02.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:15:02.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:15:02.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:15:02.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:15:02.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:15:02.336Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11957.337 ms) ====== [2026-02-14T00:15:02.336Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T00:15:02.665Z] GC before operation: completed in 118.846 ms, heap usage 499.426 MB -> 91.407 MB. [2026-02-14T00:15:04.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:15:05.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:15:08.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:15:09.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:15:11.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:15:11.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:15:13.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:15:14.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:15:14.472Z] 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. [2026-02-14T00:15:14.472Z] The best model improves the baseline by 14.52%. [2026-02-14T00:15:14.472Z] Top recommended movies for user id 72: [2026-02-14T00:15:14.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:15:14.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:15:14.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:15:14.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:15:14.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:15:14.472Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12070.559 ms) ====== [2026-02-14T00:15:14.472Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T00:15:14.802Z] GC before operation: completed in 116.743 ms, heap usage 823.322 MB -> 95.349 MB. [2026-02-14T00:15:16.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:15:18.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:15:20.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:15:22.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:15:23.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:15:24.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:15:25.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:15:26.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:15:26.688Z] 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. [2026-02-14T00:15:26.688Z] The best model improves the baseline by 14.52%. [2026-02-14T00:15:27.034Z] Top recommended movies for user id 72: [2026-02-14T00:15:27.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:15:27.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:15:27.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:15:27.034Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:15:27.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:15:27.034Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12185.067 ms) ====== [2026-02-14T00:15:27.034Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T00:15:27.034Z] GC before operation: completed in 131.861 ms, heap usage 719.719 MB -> 94.952 MB. [2026-02-14T00:15:29.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:15:30.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:15:32.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:15:34.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:15:35.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:15:36.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:15:37.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:15:38.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:15:38.925Z] 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. [2026-02-14T00:15:38.925Z] The best model improves the baseline by 14.52%. [2026-02-14T00:15:38.925Z] Top recommended movies for user id 72: [2026-02-14T00:15:38.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:15:38.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:15:38.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:15:38.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:15:38.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:15:38.925Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11984.529 ms) ====== [2026-02-14T00:15:38.925Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T00:15:39.255Z] GC before operation: completed in 121.137 ms, heap usage 153.140 MB -> 91.185 MB. [2026-02-14T00:15:40.917Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:15:42.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:15:44.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:15:46.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:15:47.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:15:48.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:15:49.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:15:50.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:15:50.803Z] 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. [2026-02-14T00:15:50.803Z] The best model improves the baseline by 14.52%. [2026-02-14T00:15:51.133Z] Top recommended movies for user id 72: [2026-02-14T00:15:51.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:15:51.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:15:51.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:15:51.133Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:15:51.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:15:51.133Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11820.445 ms) ====== [2026-02-14T00:15:51.133Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T00:15:51.133Z] GC before operation: completed in 104.035 ms, heap usage 846.589 MB -> 95.430 MB. [2026-02-14T00:15:52.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:15:54.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:15:56.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:15:58.401Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:15:59.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:16:00.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:16:01.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:16:02.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:16:02.901Z] 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. [2026-02-14T00:16:02.901Z] The best model improves the baseline by 14.52%. [2026-02-14T00:16:02.901Z] Top recommended movies for user id 72: [2026-02-14T00:16:02.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:16:02.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:16:02.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:16:02.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:16:02.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:16:02.901Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11887.327 ms) ====== [2026-02-14T00:16:02.901Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T00:16:03.231Z] GC before operation: completed in 111.212 ms, heap usage 778.953 MB -> 95.129 MB. [2026-02-14T00:16:04.893Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:16:06.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:16:08.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:16:10.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:16:11.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:16:12.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:16:13.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:16:14.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:16:14.996Z] 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. [2026-02-14T00:16:14.997Z] The best model improves the baseline by 14.52%. [2026-02-14T00:16:14.997Z] Top recommended movies for user id 72: [2026-02-14T00:16:14.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:16:14.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:16:14.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:16:14.997Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:16:14.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:16:14.997Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12000.673 ms) ====== [2026-02-14T00:16:14.997Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T00:16:15.329Z] GC before operation: completed in 112.443 ms, heap usage 352.358 MB -> 91.228 MB. [2026-02-14T00:16:16.996Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:16:18.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:16:20.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:16:22.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:16:23.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:16:24.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:16:25.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:16:26.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:16:26.742Z] 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. [2026-02-14T00:16:26.742Z] The best model improves the baseline by 14.52%. [2026-02-14T00:16:27.072Z] Top recommended movies for user id 72: [2026-02-14T00:16:27.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:16:27.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:16:27.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:16:27.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:16:27.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:16:27.072Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11752.894 ms) ====== [2026-02-14T00:16:27.072Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T00:16:27.072Z] GC before operation: completed in 107.653 ms, heap usage 794.697 MB -> 95.292 MB. [2026-02-14T00:16:28.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T00:16:30.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T00:16:32.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T00:16:34.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T00:16:35.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T00:16:36.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T00:16:37.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T00:16:38.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T00:16:38.826Z] 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. [2026-02-14T00:16:38.826Z] The best model improves the baseline by 14.52%. [2026-02-14T00:16:38.826Z] Top recommended movies for user id 72: [2026-02-14T00:16:38.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T00:16:38.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T00:16:38.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T00:16:38.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T00:16:38.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T00:16:38.826Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11789.878 ms) ====== [2026-02-14T00:16:39.538Z] ----------------------------------- [2026-02-14T00:16:39.538Z] renaissance-movie-lens_0_PASSED [2026-02-14T00:16:39.538Z] ----------------------------------- [2026-02-14T00:16:39.538Z] [2026-02-14T00:16:39.538Z] TEST TEARDOWN: [2026-02-14T00:16:39.538Z] Nothing to be done for teardown. [2026-02-14T00:16:39.538Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 00:16:39 2026 Epoch Time (ms): 1771028199387