[2026-02-19T06:25:11.480Z] Running test renaissance-movie-lens_0 ... [2026-02-19T06:25:11.480Z] =============================================== [2026-02-19T06:25:11.480Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 01:25:09 2026 Epoch Time (ms): 1771482309211 [2026-02-19T06:25:11.480Z] variation: NoOptions [2026-02-19T06:25:11.480Z] JVM_OPTIONS: [2026-02-19T06:25:11.480Z] { \ [2026-02-19T06:25:11.480Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T06:25:11.480Z] echo "Nothing to be done for setup."; \ [2026-02-19T06:25:11.480Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17714788132002/renaissance-movie-lens_0"; \ [2026-02-19T06:25:11.480Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17714788132002/renaissance-movie-lens_0"; \ [2026-02-19T06:25:11.480Z] echo ""; echo "TESTING:"; \ [2026-02-19T06:25:11.480Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17714788132002/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T06:25:11.480Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17714788132002/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T06:25:11.480Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T06:25:11.480Z] echo "Nothing to be done for teardown."; \ [2026-02-19T06:25:11.480Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17714788132002/TestTargetResult"; [2026-02-19T06:25:11.480Z] [2026-02-19T06:25:11.480Z] TEST SETUP: [2026-02-19T06:25:11.480Z] Nothing to be done for setup. [2026-02-19T06:25:11.480Z] [2026-02-19T06:25:11.480Z] TESTING: [2026-02-19T06:25:32.869Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T06:26:00.127Z] 01:25:58.218 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. [2026-02-19T06:26:08.177Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T06:26:09.493Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T06:26:09.493Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T06:26:09.963Z] GC before operation: completed in 323.554 ms, heap usage 262.228 MB -> 75.077 MB. [2026-02-19T06:26:41.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:26:57.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:27:18.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:27:46.642Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:27:55.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:28:04.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:28:14.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:28:24.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:28:25.708Z] 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. [2026-02-19T06:28:25.708Z] The best model improves the baseline by 14.52%. [2026-02-19T06:28:26.829Z] Top recommended movies for user id 72: [2026-02-19T06:28:26.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:28:26.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:28:26.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:28:26.829Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:28:26.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:28:26.829Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (136475.565 ms) ====== [2026-02-19T06:28:26.829Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T06:28:27.332Z] GC before operation: completed in 1121.377 ms, heap usage 909.131 MB -> 97.219 MB. [2026-02-19T06:28:54.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:29:05.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:29:18.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:29:33.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:29:42.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:29:53.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:30:01.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:30:11.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:30:12.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-19T06:30:12.915Z] The best model improves the baseline by 14.52%. [2026-02-19T06:30:13.929Z] Top recommended movies for user id 72: [2026-02-19T06:30:13.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:30:13.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:30:13.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:30:13.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:30:13.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:30:13.929Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (106117.512 ms) ====== [2026-02-19T06:30:13.929Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T06:30:13.929Z] GC before operation: completed in 435.559 ms, heap usage 1.484 GB -> 94.006 MB. [2026-02-19T06:30:32.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:30:51.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:31:07.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:31:20.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:31:28.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:31:39.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:31:45.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:31:52.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:31:53.280Z] 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. [2026-02-19T06:31:53.280Z] The best model improves the baseline by 14.52%. [2026-02-19T06:31:54.523Z] Top recommended movies for user id 72: [2026-02-19T06:31:54.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:31:54.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:31:54.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:31:54.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:31:54.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:31:54.523Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (100009.803 ms) ====== [2026-02-19T06:31:54.523Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T06:31:55.066Z] GC before operation: completed in 835.245 ms, heap usage 1.737 GB -> 94.845 MB. [2026-02-19T06:32:10.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:32:26.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:32:37.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:32:47.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:32:55.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:33:02.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:33:12.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:33:21.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:33:22.093Z] 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. [2026-02-19T06:33:22.593Z] The best model improves the baseline by 14.52%. [2026-02-19T06:33:22.593Z] Top recommended movies for user id 72: [2026-02-19T06:33:22.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:33:22.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:33:22.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:33:22.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:33:22.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:33:22.593Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (87889.395 ms) ====== [2026-02-19T06:33:22.593Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T06:33:23.085Z] GC before operation: completed in 387.470 ms, heap usage 742.022 MB -> 92.869 MB. [2026-02-19T06:33:41.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:33:57.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:34:12.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:34:25.330Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:34:31.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:34:39.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:34:47.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:34:54.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:34:54.514Z] 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. [2026-02-19T06:34:54.514Z] The best model improves the baseline by 14.52%. [2026-02-19T06:34:55.095Z] Top recommended movies for user id 72: [2026-02-19T06:34:55.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:34:55.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:34:55.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:34:55.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:34:55.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:34:55.095Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (92007.184 ms) ====== [2026-02-19T06:34:55.661Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T06:34:56.115Z] GC before operation: completed in 838.697 ms, heap usage 764.252 MB -> 92.819 MB. [2026-02-19T06:35:11.818Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:35:24.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:35:43.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:35:55.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:36:06.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:36:14.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:36:24.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:36:34.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:36:34.161Z] 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. [2026-02-19T06:36:34.161Z] The best model improves the baseline by 14.52%. [2026-02-19T06:36:35.183Z] Top recommended movies for user id 72: [2026-02-19T06:36:35.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:36:35.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:36:35.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:36:35.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:36:35.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:36:35.183Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (98988.958 ms) ====== [2026-02-19T06:36:35.183Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T06:36:35.628Z] GC before operation: completed in 399.694 ms, heap usage 280.449 MB -> 90.322 MB. [2026-02-19T06:36:54.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:37:17.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:37:32.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:37:48.491Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:37:54.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:38:02.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:38:11.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:38:17.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:38:18.493Z] 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. [2026-02-19T06:38:18.493Z] The best model improves the baseline by 14.52%. [2026-02-19T06:38:19.646Z] Top recommended movies for user id 72: [2026-02-19T06:38:19.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:38:19.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:38:19.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:38:19.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:38:19.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:38:19.647Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (104047.287 ms) ====== [2026-02-19T06:38:19.647Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T06:38:20.102Z] GC before operation: completed in 273.793 ms, heap usage 1.007 GB -> 94.301 MB. [2026-02-19T06:38:36.224Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:38:54.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:39:05.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:39:16.360Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:39:25.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:39:33.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:39:41.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:39:49.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:39:49.563Z] 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. [2026-02-19T06:39:49.563Z] The best model improves the baseline by 14.52%. [2026-02-19T06:39:50.367Z] Top recommended movies for user id 72: [2026-02-19T06:39:50.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:39:50.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:39:50.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:39:50.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:39:50.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:39:50.367Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (90248.793 ms) ====== [2026-02-19T06:39:50.367Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T06:39:51.423Z] GC before operation: completed in 1202.292 ms, heap usage 668.459 MB -> 93.188 MB. [2026-02-19T06:40:06.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:40:22.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:40:38.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:40:52.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:41:00.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:41:08.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:41:17.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:41:24.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:41:26.117Z] 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. [2026-02-19T06:41:26.689Z] The best model improves the baseline by 14.52%. [2026-02-19T06:41:27.123Z] Top recommended movies for user id 72: [2026-02-19T06:41:27.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:41:27.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:41:27.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:41:27.123Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:41:27.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:41:27.123Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (95519.407 ms) ====== [2026-02-19T06:41:27.123Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T06:41:27.123Z] GC before operation: completed in 301.278 ms, heap usage 200.508 MB -> 91.873 MB. [2026-02-19T06:41:45.303Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:41:56.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:42:12.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:42:27.979Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:42:32.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:42:38.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:42:46.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:42:51.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:42:52.374Z] 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. [2026-02-19T06:42:52.374Z] The best model improves the baseline by 14.52%. [2026-02-19T06:42:52.887Z] Top recommended movies for user id 72: [2026-02-19T06:42:52.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:42:52.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:42:52.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:42:52.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:42:52.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:42:52.887Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (85725.630 ms) ====== [2026-02-19T06:42:52.887Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T06:42:53.307Z] GC before operation: completed in 294.289 ms, heap usage 343.442 MB -> 89.701 MB. [2026-02-19T06:43:05.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:43:19.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:43:40.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:43:52.958Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:43:58.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:44:02.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:44:08.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:44:15.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:44:15.207Z] 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. [2026-02-19T06:44:15.207Z] The best model improves the baseline by 14.52%. [2026-02-19T06:44:15.207Z] Top recommended movies for user id 72: [2026-02-19T06:44:15.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:44:15.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:44:15.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:44:15.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:44:15.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:44:15.207Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (82105.911 ms) ====== [2026-02-19T06:44:15.207Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T06:44:15.716Z] GC before operation: completed in 210.068 ms, heap usage 517.397 MB -> 89.645 MB. [2026-02-19T06:44:29.201Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:44:42.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:44:58.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:45:11.476Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:45:18.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:45:27.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:45:33.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:45:42.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:45:42.971Z] 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. [2026-02-19T06:45:42.971Z] The best model improves the baseline by 14.52%. [2026-02-19T06:45:43.399Z] Top recommended movies for user id 72: [2026-02-19T06:45:43.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:45:43.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:45:43.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:45:43.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:45:43.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:45:43.399Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (87767.492 ms) ====== [2026-02-19T06:45:43.399Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T06:45:44.045Z] GC before operation: completed in 363.189 ms, heap usage 1.392 GB -> 95.322 MB. [2026-02-19T06:46:02.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:46:13.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:46:27.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:46:42.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:46:50.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:46:57.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:47:05.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:47:12.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:47:13.856Z] 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. [2026-02-19T06:47:13.856Z] The best model improves the baseline by 14.52%. [2026-02-19T06:47:14.279Z] Top recommended movies for user id 72: [2026-02-19T06:47:14.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:47:14.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:47:14.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:47:14.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:47:14.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:47:14.279Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (90699.675 ms) ====== [2026-02-19T06:47:14.279Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T06:47:14.755Z] GC before operation: completed in 277.176 ms, heap usage 189.797 MB -> 89.500 MB. [2026-02-19T06:47:30.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:47:52.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:48:03.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:48:16.984Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:48:26.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:48:35.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:48:43.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:48:52.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:48:52.266Z] 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. [2026-02-19T06:48:52.266Z] The best model improves the baseline by 14.52%. [2026-02-19T06:48:52.266Z] Top recommended movies for user id 72: [2026-02-19T06:48:52.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:48:52.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:48:52.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:48:52.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:48:52.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:48:52.266Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (97634.633 ms) ====== [2026-02-19T06:48:52.266Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T06:48:53.307Z] GC before operation: completed in 915.782 ms, heap usage 312.600 MB -> 89.474 MB. [2026-02-19T06:49:06.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:49:16.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:49:29.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:49:42.442Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:49:51.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:50:01.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:50:12.228Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:50:17.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:50:18.289Z] 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. [2026-02-19T06:50:18.289Z] The best model improves the baseline by 14.52%. [2026-02-19T06:50:19.365Z] Top recommended movies for user id 72: [2026-02-19T06:50:19.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:50:19.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:50:19.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:50:19.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:50:19.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:50:19.365Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (85724.004 ms) ====== [2026-02-19T06:50:19.365Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T06:50:19.877Z] GC before operation: completed in 779.963 ms, heap usage 1.793 GB -> 95.959 MB. [2026-02-19T06:50:35.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:50:51.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:51:11.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:51:24.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:51:32.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:51:45.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:51:52.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:52:00.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:52:01.079Z] 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. [2026-02-19T06:52:01.079Z] The best model improves the baseline by 14.52%. [2026-02-19T06:52:01.554Z] Top recommended movies for user id 72: [2026-02-19T06:52:01.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:52:01.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:52:01.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:52:01.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:52:01.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:52:01.554Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (101675.416 ms) ====== [2026-02-19T06:52:01.554Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T06:52:01.554Z] GC before operation: completed in 314.832 ms, heap usage 706.356 MB -> 93.355 MB. [2026-02-19T06:52:14.410Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:52:40.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:52:54.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:53:05.910Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:53:13.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:53:19.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:53:28.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:53:35.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:53:35.783Z] 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. [2026-02-19T06:53:35.783Z] The best model improves the baseline by 14.52%. [2026-02-19T06:53:37.162Z] Top recommended movies for user id 72: [2026-02-19T06:53:37.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:53:37.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:53:37.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:53:37.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:53:37.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:53:37.162Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (95546.202 ms) ====== [2026-02-19T06:53:37.162Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T06:53:37.632Z] GC before operation: completed in 308.166 ms, heap usage 1.436 GB -> 95.570 MB. [2026-02-19T06:53:52.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:54:12.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:54:25.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:54:34.638Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:54:40.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:54:48.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:54:54.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:55:00.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:55:01.841Z] 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. [2026-02-19T06:55:01.841Z] The best model improves the baseline by 14.52%. [2026-02-19T06:55:01.841Z] Top recommended movies for user id 72: [2026-02-19T06:55:01.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:55:01.841Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:55:01.841Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:55:01.841Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:55:01.841Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:55:01.841Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (84328.726 ms) ====== [2026-02-19T06:55:01.841Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T06:55:02.327Z] GC before operation: completed in 349.116 ms, heap usage 179.561 MB -> 94.014 MB. [2026-02-19T06:55:15.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:55:30.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:55:43.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:55:56.468Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:56:05.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:56:16.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:56:23.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:56:33.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:56:33.790Z] 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. [2026-02-19T06:56:33.790Z] The best model improves the baseline by 14.52%. [2026-02-19T06:56:34.894Z] Top recommended movies for user id 72: [2026-02-19T06:56:34.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:56:34.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:56:34.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:56:34.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:56:34.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:56:34.894Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (92573.886 ms) ====== [2026-02-19T06:56:34.894Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T06:56:35.396Z] GC before operation: completed in 381.820 ms, heap usage 306.386 MB -> 89.774 MB. [2026-02-19T06:56:54.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T06:57:14.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T06:57:33.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T06:57:46.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T06:57:54.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T06:58:00.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T06:58:07.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T06:58:14.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T06:58:15.046Z] 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. [2026-02-19T06:58:15.046Z] The best model improves the baseline by 14.52%. [2026-02-19T06:58:16.051Z] Top recommended movies for user id 72: [2026-02-19T06:58:16.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T06:58:16.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T06:58:16.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T06:58:16.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T06:58:16.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T06:58:16.051Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (100664.593 ms) ====== [2026-02-19T06:58:25.471Z] ----------------------------------- [2026-02-19T06:58:25.472Z] renaissance-movie-lens_0_PASSED [2026-02-19T06:58:25.472Z] ----------------------------------- [2026-02-19T06:58:25.472Z] [2026-02-19T06:58:25.472Z] TEST TEARDOWN: [2026-02-19T06:58:25.472Z] Nothing to be done for teardown. [2026-02-19T06:58:25.472Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 01:58:24 2026 Epoch Time (ms): 1771484304663