[2026-02-14T23:41:12.529Z] Running test renaissance-movie-lens_0 ... [2026-02-14T23:41:12.529Z] =============================================== [2026-02-14T23:41:12.529Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 18:41:12 2026 Epoch Time (ms): 1771112472045 [2026-02-14T23:41:12.529Z] variation: NoOptions [2026-02-14T23:41:12.529Z] JVM_OPTIONS: [2026-02-14T23:41:12.529Z] { \ [2026-02-14T23:41:12.529Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T23:41:12.529Z] echo "Nothing to be done for setup."; \ [2026-02-14T23:41:12.529Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17711084738564/renaissance-movie-lens_0"; \ [2026-02-14T23:41:12.529Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17711084738564/renaissance-movie-lens_0"; \ [2026-02-14T23:41:12.529Z] echo ""; echo "TESTING:"; \ [2026-02-14T23:41:12.529Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17711084738564/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T23:41:12.529Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17711084738564/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T23:41:12.529Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T23:41:12.529Z] echo "Nothing to be done for teardown."; \ [2026-02-14T23:41:12.529Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17711084738564/TestTargetResult"; [2026-02-14T23:41:12.529Z] [2026-02-14T23:41:12.529Z] TEST SETUP: [2026-02-14T23:41:12.529Z] Nothing to be done for setup. [2026-02-14T23:41:12.529Z] [2026-02-14T23:41:12.529Z] TESTING: [2026-02-14T23:41:15.263Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T23:41:15.263Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17711084738564/renaissance-movie-lens_0/launcher-184113-1658905291910755236/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T23:41:15.263Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T23:41:15.263Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T23:41:48.056Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T23:42:27.519Z] 18:42:24.647 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T23:42:36.403Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T23:42:38.614Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T23:42:39.198Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T23:42:39.738Z] GC before operation: completed in 713.610 ms, heap usage 393.407 MB -> 75.009 MB. [2026-02-14T23:43:18.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:43:41.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:44:13.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:44:41.007Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:44:48.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:44:59.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:45:14.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:45:22.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:45:22.858Z] 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. [2026-02-14T23:45:23.307Z] The best model improves the baseline by 14.52%. [2026-02-14T23:45:24.623Z] Top recommended movies for user id 72: [2026-02-14T23:45:24.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:45:24.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:45:24.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:45:24.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:45:24.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:45:24.623Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (165019.770 ms) ====== [2026-02-14T23:45:24.623Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T23:45:25.077Z] GC before operation: completed in 403.704 ms, heap usage 992.304 MB -> 92.533 MB. [2026-02-14T23:45:47.195Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:46:06.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:46:21.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:46:37.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:46:48.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:46:58.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:47:07.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:47:16.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:47:17.368Z] 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. [2026-02-14T23:47:17.368Z] The best model improves the baseline by 14.52%. [2026-02-14T23:47:18.642Z] Top recommended movies for user id 72: [2026-02-14T23:47:18.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:47:18.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:47:18.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:47:18.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:47:18.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:47:18.642Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (113195.747 ms) ====== [2026-02-14T23:47:18.642Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T23:47:18.642Z] GC before operation: completed in 298.642 ms, heap usage 224.160 MB -> 87.651 MB. [2026-02-14T23:47:37.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:47:52.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:48:11.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:48:24.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:48:32.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:48:40.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:48:47.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:48:59.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:48:59.659Z] 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. [2026-02-14T23:49:00.236Z] The best model improves the baseline by 14.52%. [2026-02-14T23:49:00.723Z] Top recommended movies for user id 72: [2026-02-14T23:49:00.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:49:00.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:49:00.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:49:00.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:49:00.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:49:00.723Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (102333.625 ms) ====== [2026-02-14T23:49:00.723Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T23:49:01.402Z] GC before operation: completed in 411.909 ms, heap usage 345.140 MB -> 88.520 MB. [2026-02-14T23:49:20.066Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:49:35.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:49:54.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:50:14.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:50:24.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:50:34.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:50:45.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:50:58.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:50:59.888Z] 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. [2026-02-14T23:50:59.888Z] The best model improves the baseline by 14.52%. [2026-02-14T23:51:01.740Z] Top recommended movies for user id 72: [2026-02-14T23:51:01.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:51:01.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:51:01.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:51:01.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:51:01.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:51:01.740Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (120480.125 ms) ====== [2026-02-14T23:51:01.740Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T23:51:02.167Z] GC before operation: completed in 447.401 ms, heap usage 1.788 GB -> 95.050 MB. [2026-02-14T23:51:25.264Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:51:40.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:51:56.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:52:09.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:52:19.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:52:29.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:52:38.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:52:47.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:52:47.908Z] 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. [2026-02-14T23:52:47.908Z] The best model improves the baseline by 14.52%. [2026-02-14T23:52:48.431Z] Top recommended movies for user id 72: [2026-02-14T23:52:48.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:52:48.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:52:48.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:52:48.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:52:48.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:52:48.431Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (106182.786 ms) ====== [2026-02-14T23:52:48.431Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T23:52:48.431Z] GC before operation: completed in 199.989 ms, heap usage 801.269 MB -> 92.592 MB. [2026-02-14T23:53:08.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:53:26.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:53:42.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:53:59.281Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:54:07.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:54:16.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:54:26.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:54:35.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:54:36.424Z] 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. [2026-02-14T23:54:36.424Z] The best model improves the baseline by 14.52%. [2026-02-14T23:54:36.910Z] Top recommended movies for user id 72: [2026-02-14T23:54:36.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:54:36.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:54:36.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:54:36.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:54:36.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:54:36.910Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (108118.570 ms) ====== [2026-02-14T23:54:36.910Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T23:54:37.676Z] GC before operation: completed in 520.062 ms, heap usage 908.633 MB -> 93.516 MB. [2026-02-14T23:54:56.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:55:12.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:55:25.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:55:41.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:55:47.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:55:58.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:56:09.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:56:19.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:56:19.168Z] 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. [2026-02-14T23:56:19.851Z] The best model improves the baseline by 14.52%. [2026-02-14T23:56:20.330Z] Top recommended movies for user id 72: [2026-02-14T23:56:20.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:56:20.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:56:20.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:56:20.330Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:56:20.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:56:20.330Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103307.724 ms) ====== [2026-02-14T23:56:20.330Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T23:56:20.887Z] GC before operation: completed in 382.071 ms, heap usage 176.700 MB -> 88.971 MB. [2026-02-14T23:56:36.919Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:56:52.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:57:10.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:57:23.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:57:31.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:57:40.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:57:48.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:57:56.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:57:58.020Z] 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. [2026-02-14T23:57:58.020Z] The best model improves the baseline by 14.52%. [2026-02-14T23:57:58.020Z] Top recommended movies for user id 72: [2026-02-14T23:57:58.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:57:58.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:57:58.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:57:58.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:57:58.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:57:58.020Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (97328.504 ms) ====== [2026-02-14T23:57:58.020Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T23:57:58.474Z] GC before operation: completed in 429.016 ms, heap usage 1.688 GB -> 95.475 MB. [2026-02-14T23:58:14.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:58:32.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:58:51.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:59:01.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:59:11.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:59:17.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:59:26.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:59:35.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:59:36.110Z] 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. [2026-02-14T23:59:36.110Z] The best model improves the baseline by 14.52%. [2026-02-14T23:59:36.735Z] Top recommended movies for user id 72: [2026-02-14T23:59:36.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:59:36.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:59:36.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:59:36.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:59:36.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:59:36.735Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (97930.145 ms) ====== [2026-02-14T23:59:36.735Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T23:59:37.875Z] GC before operation: completed in 1324.535 ms, heap usage 772.351 MB -> 93.012 MB. [2026-02-14T23:59:56.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:00:10.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:00:29.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:00:45.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:00:53.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:01:01.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:01:12.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:01:19.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:01:21.538Z] 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. [2026-02-15T00:01:21.538Z] The best model improves the baseline by 14.52%. [2026-02-15T00:01:21.538Z] Top recommended movies for user id 72: [2026-02-15T00:01:21.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:01:21.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:01:21.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:01:21.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:01:21.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:01:21.538Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (103742.096 ms) ====== [2026-02-15T00:01:21.538Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-15T00:01:22.193Z] GC before operation: completed in 402.401 ms, heap usage 229.762 MB -> 91.380 MB. [2026-02-15T00:01:40.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:01:55.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:02:08.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:02:21.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:02:29.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:02:36.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:02:45.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:02:53.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:02:54.662Z] 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. [2026-02-15T00:02:54.662Z] The best model improves the baseline by 14.52%. [2026-02-15T00:02:55.186Z] Top recommended movies for user id 72: [2026-02-15T00:02:55.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:02:55.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:02:55.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:02:55.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:02:55.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:02:55.186Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (93200.132 ms) ====== [2026-02-15T00:02:55.186Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-15T00:02:55.713Z] GC before operation: completed in 345.175 ms, heap usage 824.520 MB -> 93.194 MB. [2026-02-15T00:03:13.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:03:28.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:03:42.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:03:56.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:04:04.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:04:13.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:04:21.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:04:30.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:04:31.228Z] 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. [2026-02-15T00:04:31.228Z] The best model improves the baseline by 14.52%. [2026-02-15T00:04:31.658Z] Top recommended movies for user id 72: [2026-02-15T00:04:31.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:04:31.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:04:31.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:04:31.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:04:31.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:04:31.658Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (96127.910 ms) ====== [2026-02-15T00:04:31.658Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-15T00:04:32.228Z] GC before operation: completed in 353.990 ms, heap usage 548.354 MB -> 93.026 MB. [2026-02-15T00:04:51.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:05:10.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:05:20.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:05:31.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:05:40.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:05:46.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:05:53.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:06:01.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:06:03.276Z] 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. [2026-02-15T00:06:03.276Z] The best model improves the baseline by 14.52%. [2026-02-15T00:06:03.276Z] Top recommended movies for user id 72: [2026-02-15T00:06:03.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:06:03.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:06:03.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:06:03.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:06:03.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:06:03.276Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (91275.648 ms) ====== [2026-02-15T00:06:03.276Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-15T00:06:04.717Z] GC before operation: completed in 1159.755 ms, heap usage 1.228 GB -> 95.099 MB. [2026-02-15T00:06:20.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:06:35.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:06:47.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:07:03.343Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:07:12.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:07:21.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:07:28.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:07:37.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:07:38.269Z] 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. [2026-02-15T00:07:38.269Z] The best model improves the baseline by 14.52%. [2026-02-15T00:07:39.496Z] Top recommended movies for user id 72: [2026-02-15T00:07:39.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:07:39.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:07:39.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:07:39.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:07:39.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:07:39.496Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (95014.612 ms) ====== [2026-02-15T00:07:39.496Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-15T00:07:39.979Z] GC before operation: completed in 422.350 ms, heap usage 520.597 MB -> 89.597 MB. [2026-02-15T00:07:56.017Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:08:11.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:08:22.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:08:33.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:08:42.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:08:51.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:08:58.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:09:07.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:09:08.179Z] 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. [2026-02-15T00:09:08.179Z] The best model improves the baseline by 14.52%. [2026-02-15T00:09:08.628Z] Top recommended movies for user id 72: [2026-02-15T00:09:08.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:09:08.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:09:08.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:09:08.628Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:09:08.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:09:08.628Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (88790.230 ms) ====== [2026-02-15T00:09:08.628Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-15T00:09:09.231Z] GC before operation: completed in 337.178 ms, heap usage 373.862 MB -> 89.640 MB. [2026-02-15T00:09:24.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:09:36.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:09:52.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:10:11.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:10:18.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:10:24.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:10:33.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:10:41.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:10:41.695Z] 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. [2026-02-15T00:10:41.695Z] The best model improves the baseline by 14.52%. [2026-02-15T00:10:42.303Z] Top recommended movies for user id 72: [2026-02-15T00:10:42.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:10:42.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:10:42.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:10:42.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:10:42.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:10:42.303Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (93163.351 ms) ====== [2026-02-15T00:10:42.303Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-15T00:10:42.914Z] GC before operation: completed in 614.836 ms, heap usage 1.863 GB -> 95.639 MB. [2026-02-15T00:10:59.200Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:11:15.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:11:33.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:11:46.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:11:54.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:12:01.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:12:11.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:12:21.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:12:22.417Z] 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. [2026-02-15T00:12:22.847Z] The best model improves the baseline by 14.52%. [2026-02-15T00:12:22.847Z] Top recommended movies for user id 72: [2026-02-15T00:12:22.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:12:22.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:12:22.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:12:22.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:12:22.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:12:22.847Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (100164.139 ms) ====== [2026-02-15T00:12:22.847Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-15T00:12:23.347Z] GC before operation: completed in 300.833 ms, heap usage 303.718 MB -> 92.813 MB. [2026-02-15T00:12:44.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:12:54.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:13:10.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:13:19.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:13:25.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:13:32.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:13:39.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:13:47.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:13:47.732Z] 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. [2026-02-15T00:13:47.732Z] The best model improves the baseline by 14.52%. [2026-02-15T00:13:47.732Z] Top recommended movies for user id 72: [2026-02-15T00:13:47.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:13:47.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:13:47.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:13:47.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:13:47.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:13:47.732Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (84550.227 ms) ====== [2026-02-15T00:13:47.732Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-15T00:13:48.177Z] GC before operation: completed in 329.322 ms, heap usage 654.173 MB -> 92.957 MB. [2026-02-15T00:14:03.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:14:17.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:14:33.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:14:49.651Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:14:56.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:15:03.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:15:13.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:15:19.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:15:20.456Z] 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. [2026-02-15T00:15:21.021Z] The best model improves the baseline by 14.52%. [2026-02-15T00:15:21.483Z] Top recommended movies for user id 72: [2026-02-15T00:15:21.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:15:21.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:15:21.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:15:21.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:15:21.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:15:21.483Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (93415.051 ms) ====== [2026-02-15T00:15:21.483Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-15T00:15:21.995Z] GC before operation: completed in 257.400 ms, heap usage 509.383 MB -> 89.703 MB. [2026-02-15T00:15:40.306Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:15:53.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:16:09.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:16:20.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:16:26.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:16:33.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:16:41.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:16:47.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:16:48.506Z] 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. [2026-02-15T00:16:48.950Z] The best model improves the baseline by 14.52%. [2026-02-15T00:16:48.950Z] Top recommended movies for user id 72: [2026-02-15T00:16:48.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-15T00:16:48.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-15T00:16:48.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-15T00:16:48.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-15T00:16:48.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-15T00:16:48.950Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (87103.006 ms) ====== [2026-02-15T00:16:51.879Z] ----------------------------------- [2026-02-15T00:16:51.879Z] renaissance-movie-lens_0_PASSED [2026-02-15T00:16:51.879Z] ----------------------------------- [2026-02-15T00:16:52.292Z] [2026-02-15T00:16:52.292Z] TEST TEARDOWN: [2026-02-15T00:16:52.292Z] Nothing to be done for teardown. [2026-02-15T00:16:52.813Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 19:16:52 2026 Epoch Time (ms): 1771114612261