[2026-01-18T15:18:25.836Z] Running test renaissance-movie-lens_0 ... [2026-01-18T15:18:25.836Z] =============================================== [2026-01-18T15:18:25.836Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 10:18:25 2026 Epoch Time (ms): 1768749505478 [2026-01-18T15:18:25.836Z] variation: NoOptions [2026-01-18T15:18:25.836Z] JVM_OPTIONS: [2026-01-18T15:18:25.836Z] { \ [2026-01-18T15:18:25.836Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T15:18:25.837Z] echo "Nothing to be done for setup."; \ [2026-01-18T15:18:25.837Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../TKG/output_1768745760253/renaissance-movie-lens_0"; \ [2026-01-18T15:18:25.837Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../TKG/output_1768745760253/renaissance-movie-lens_0"; \ [2026-01-18T15:18:25.837Z] echo ""; echo "TESTING:"; \ [2026-01-18T15:18:25.837Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/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_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../TKG/output_1768745760253/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T15:18:25.837Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../TKG/output_1768745760253/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T15:18:25.837Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T15:18:25.837Z] echo "Nothing to be done for teardown."; \ [2026-01-18T15:18:25.837Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1_rerun/aqa-tests/TKG/../TKG/output_1768745760253/TestTargetResult"; [2026-01-18T15:18:25.837Z] [2026-01-18T15:18:25.837Z] TEST SETUP: [2026-01-18T15:18:25.837Z] Nothing to be done for setup. [2026-01-18T15:18:25.837Z] [2026-01-18T15:18:25.837Z] TESTING: [2026-01-18T15:18:43.599Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-18T15:19:09.204Z] 10:19:06.178 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. [2026-01-18T15:19:11.504Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T15:19:12.574Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T15:19:12.574Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T15:19:13.072Z] GC before operation: completed in 808.628 ms, heap usage 278.688 MB -> 74.658 MB. [2026-01-18T15:19:43.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:19:59.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:20:11.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:20:22.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:20:30.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:20:38.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:20:47.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:20:54.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:20:54.809Z] 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. [2026-01-18T15:20:55.272Z] The best model improves the baseline by 14.52%. [2026-01-18T15:20:55.683Z] Top recommended movies for user id 72: [2026-01-18T15:20:55.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:20:55.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:20:55.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:20:55.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:20:55.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:20:55.683Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (102422.579 ms) ====== [2026-01-18T15:20:55.683Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T15:20:56.180Z] GC before operation: completed in 408.560 ms, heap usage 297.958 MB -> 87.004 MB. [2026-01-18T15:21:11.639Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:21:22.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:21:37.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:21:48.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:21:54.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:22:01.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:22:08.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:22:16.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:22:17.147Z] 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. [2026-01-18T15:22:17.147Z] The best model improves the baseline by 14.52%. [2026-01-18T15:22:17.577Z] Top recommended movies for user id 72: [2026-01-18T15:22:17.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:22:17.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:22:17.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:22:17.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:22:17.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:22:17.577Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (81269.652 ms) ====== [2026-01-18T15:22:17.577Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T15:22:17.577Z] GC before operation: completed in 373.684 ms, heap usage 520.635 MB -> 88.063 MB. [2026-01-18T15:22:30.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:22:41.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:22:52.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:23:03.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:23:08.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:23:13.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:23:22.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:23:28.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:23:29.557Z] 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. [2026-01-18T15:23:29.557Z] The best model improves the baseline by 14.52%. [2026-01-18T15:23:30.548Z] Top recommended movies for user id 72: [2026-01-18T15:23:30.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:23:30.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:23:30.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:23:30.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:23:30.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:23:30.548Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (72633.332 ms) ====== [2026-01-18T15:23:30.548Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T15:23:31.024Z] GC before operation: completed in 366.490 ms, heap usage 244.763 MB -> 88.342 MB. [2026-01-18T15:23:44.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:23:56.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:24:07.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:24:18.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:24:25.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:24:33.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:24:38.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:24:45.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:24:46.053Z] 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. [2026-01-18T15:24:46.053Z] The best model improves the baseline by 14.52%. [2026-01-18T15:24:46.053Z] Top recommended movies for user id 72: [2026-01-18T15:24:46.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:24:46.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:24:46.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:24:46.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:24:46.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:24:46.053Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (75398.835 ms) ====== [2026-01-18T15:24:46.053Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T15:24:46.606Z] GC before operation: completed in 223.729 ms, heap usage 343.272 MB -> 88.724 MB. [2026-01-18T15:24:59.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:25:09.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:25:20.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:25:30.739Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:25:35.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:25:42.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:25:48.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:25:53.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:25:53.234Z] 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. [2026-01-18T15:25:53.234Z] The best model improves the baseline by 14.52%. [2026-01-18T15:25:54.271Z] Top recommended movies for user id 72: [2026-01-18T15:25:54.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:25:54.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:25:54.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:25:54.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:25:54.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:25:54.271Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (67826.929 ms) ====== [2026-01-18T15:25:54.271Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T15:25:54.707Z] GC before operation: completed in 313.536 ms, heap usage 172.074 MB -> 89.458 MB. [2026-01-18T15:26:05.142Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:26:15.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:26:25.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:26:34.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:26:40.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:26:46.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:26:51.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:26:56.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:26:57.209Z] 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. [2026-01-18T15:26:57.209Z] The best model improves the baseline by 14.52%. [2026-01-18T15:26:57.209Z] Top recommended movies for user id 72: [2026-01-18T15:26:57.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:26:57.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:26:57.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:26:57.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:26:57.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:26:57.209Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (62832.454 ms) ====== [2026-01-18T15:26:57.209Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T15:26:57.705Z] GC before operation: completed in 460.725 ms, heap usage 383.179 MB -> 89.088 MB. [2026-01-18T15:27:10.497Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:27:21.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:27:30.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:27:39.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:27:46.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:27:51.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:27:57.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:28:04.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:28:05.136Z] 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. [2026-01-18T15:28:05.136Z] The best model improves the baseline by 14.52%. [2026-01-18T15:28:05.548Z] Top recommended movies for user id 72: [2026-01-18T15:28:05.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:28:05.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:28:05.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:28:05.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:28:05.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:28:05.548Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (67680.338 ms) ====== [2026-01-18T15:28:05.548Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T15:28:06.134Z] GC before operation: completed in 386.111 ms, heap usage 427.073 MB -> 89.003 MB. [2026-01-18T15:28:18.758Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:28:29.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:28:37.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:28:47.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:28:53.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:28:58.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:29:03.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:29:08.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:29:08.844Z] 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. [2026-01-18T15:29:08.844Z] The best model improves the baseline by 14.52%. [2026-01-18T15:29:08.844Z] Top recommended movies for user id 72: [2026-01-18T15:29:08.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:29:08.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:29:08.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:29:08.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:29:08.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:29:08.844Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (63042.999 ms) ====== [2026-01-18T15:29:08.844Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T15:29:09.359Z] GC before operation: completed in 297.431 ms, heap usage 470.115 MB -> 89.326 MB. [2026-01-18T15:29:22.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:29:31.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:29:39.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:29:50.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:29:55.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:29:59.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:30:05.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:30:11.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:30:11.462Z] 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. [2026-01-18T15:30:11.462Z] The best model improves the baseline by 14.52%. [2026-01-18T15:30:11.462Z] Top recommended movies for user id 72: [2026-01-18T15:30:11.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:30:11.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:30:11.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:30:11.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:30:11.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:30:11.462Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (62350.519 ms) ====== [2026-01-18T15:30:11.462Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T15:30:11.895Z] GC before operation: completed in 310.171 ms, heap usage 145.994 MB -> 90.180 MB. [2026-01-18T15:30:22.336Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:30:31.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:30:42.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:31:23.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:31:23.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:31:23.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:31:23.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:31:23.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:31:23.553Z] 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. [2026-01-18T15:31:23.553Z] The best model improves the baseline by 14.52%. [2026-01-18T15:31:23.553Z] Top recommended movies for user id 72: [2026-01-18T15:31:23.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:31:23.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:31:23.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:31:23.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:31:23.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:31:23.553Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (65889.579 ms) ====== [2026-01-18T15:31:23.553Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T15:31:23.553Z] GC before operation: completed in 270.735 ms, heap usage 343.295 MB -> 89.197 MB. [2026-01-18T15:31:23.662Z] test-orka-macos15-x64-ojmqj seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2026-01-18T15:31:24.071Z] test-orka-macos15-x64-ojmqj is back online [2026-01-18T15:31:31.158Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:31:41.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:31:51.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:31:59.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:32:02.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:32:14.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:32:24.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:32:24.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:32:24.154Z] 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. [2026-01-18T15:32:24.154Z] The best model improves the baseline by 14.52%. [2026-01-18T15:32:24.154Z] Top recommended movies for user id 72: [2026-01-18T15:32:24.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:32:24.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:32:24.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:32:24.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:32:24.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:32:24.154Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (62345.877 ms) ====== [2026-01-18T15:32:24.154Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T15:32:24.154Z] GC before operation: completed in 537.971 ms, heap usage 466.397 MB -> 89.153 MB. [2026-01-18T15:32:46.972Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:32:48.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:32:53.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:33:04.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:33:09.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:33:18.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:33:25.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:33:31.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:33:31.798Z] 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. [2026-01-18T15:33:31.798Z] The best model improves the baseline by 14.52%. [2026-01-18T15:33:32.239Z] Top recommended movies for user id 72: [2026-01-18T15:33:32.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:33:32.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:33:32.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:33:32.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:33:32.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:33:32.239Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (71127.773 ms) ====== [2026-01-18T15:33:32.239Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T15:33:32.239Z] GC before operation: completed in 266.840 ms, heap usage 348.188 MB -> 89.223 MB. [2026-01-18T15:33:45.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:33:53.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:34:04.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:34:09.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:34:15.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:34:19.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:34:24.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:34:28.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:34:29.870Z] 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. [2026-01-18T15:34:29.870Z] The best model improves the baseline by 14.52%. [2026-01-18T15:34:30.342Z] Top recommended movies for user id 72: [2026-01-18T15:34:30.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:34:30.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:34:30.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:34:30.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:34:30.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:34:30.342Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (57792.284 ms) ====== [2026-01-18T15:34:30.342Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T15:34:30.342Z] GC before operation: completed in 202.423 ms, heap usage 487.444 MB -> 89.514 MB. [2026-01-18T15:34:38.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:34:47.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:34:57.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:35:04.463Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:35:10.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:35:16.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:35:20.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:35:24.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:35:25.141Z] 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. [2026-01-18T15:35:25.590Z] The best model improves the baseline by 14.52%. [2026-01-18T15:35:25.590Z] Top recommended movies for user id 72: [2026-01-18T15:35:25.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:35:25.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:35:25.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:35:25.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:35:25.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:35:25.590Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55202.348 ms) ====== [2026-01-18T15:35:25.590Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T15:35:26.679Z] GC before operation: completed in 932.382 ms, heap usage 468.804 MB -> 89.244 MB. [2026-01-18T15:35:35.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:35:42.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:35:50.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:35:56.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:35:59.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:36:04.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:36:07.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:36:10.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:36:10.561Z] 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. [2026-01-18T15:36:10.561Z] The best model improves the baseline by 14.52%. [2026-01-18T15:36:10.561Z] Top recommended movies for user id 72: [2026-01-18T15:36:10.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:36:10.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:36:10.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:36:10.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:36:10.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:36:10.562Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (44244.526 ms) ====== [2026-01-18T15:36:10.562Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T15:36:10.983Z] GC before operation: completed in 267.638 ms, heap usage 324.265 MB -> 89.315 MB. [2026-01-18T15:36:21.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:36:26.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:36:34.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:36:41.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:36:45.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:36:48.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:36:53.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:36:58.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:36:58.183Z] 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. [2026-01-18T15:36:58.183Z] The best model improves the baseline by 14.52%. [2026-01-18T15:36:58.183Z] Top recommended movies for user id 72: [2026-01-18T15:36:58.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:36:58.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:36:58.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:36:58.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:36:58.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:36:58.183Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (47313.009 ms) ====== [2026-01-18T15:36:58.183Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T15:36:58.663Z] GC before operation: completed in 235.291 ms, heap usage 159.723 MB -> 94.049 MB. [2026-01-18T15:37:09.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:37:16.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:37:22.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:37:29.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:37:33.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:37:36.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:37:41.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:37:45.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:37:45.830Z] 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. [2026-01-18T15:37:45.830Z] The best model improves the baseline by 14.52%. [2026-01-18T15:37:45.830Z] Top recommended movies for user id 72: [2026-01-18T15:37:45.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:37:45.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:37:45.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:37:45.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:37:45.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:37:45.830Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47403.884 ms) ====== [2026-01-18T15:37:45.830Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T15:37:46.275Z] GC before operation: completed in 222.705 ms, heap usage 529.116 MB -> 89.604 MB. [2026-01-18T15:37:54.652Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:38:03.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:38:07.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:38:14.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:38:19.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:38:23.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:38:28.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:38:31.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:38:31.791Z] 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. [2026-01-18T15:38:31.791Z] The best model improves the baseline by 14.52%. [2026-01-18T15:38:32.238Z] Top recommended movies for user id 72: [2026-01-18T15:38:32.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:38:32.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:38:32.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:38:32.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:38:32.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:38:32.238Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45978.858 ms) ====== [2026-01-18T15:38:32.238Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T15:38:32.238Z] GC before operation: completed in 229.548 ms, heap usage 406.651 MB -> 89.195 MB. [2026-01-18T15:38:40.548Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:38:48.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:38:56.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:39:03.036Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:39:07.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:39:12.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:39:18.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:39:22.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:39:23.371Z] 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. [2026-01-18T15:39:23.371Z] The best model improves the baseline by 14.52%. [2026-01-18T15:39:24.931Z] Top recommended movies for user id 72: [2026-01-18T15:39:24.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:39:24.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:39:24.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:39:24.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:39:24.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:39:24.931Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52416.491 ms) ====== [2026-01-18T15:39:24.931Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T15:39:24.931Z] GC before operation: completed in 270.331 ms, heap usage 243.763 MB -> 89.054 MB. [2026-01-18T15:39:35.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T15:39:48.355Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T15:39:59.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T15:40:09.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T15:40:15.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T15:40:20.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T15:40:26.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T15:40:33.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T15:40:33.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-18T15:40:33.040Z] The best model improves the baseline by 14.52%. [2026-01-18T15:40:33.524Z] Top recommended movies for user id 72: [2026-01-18T15:40:33.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-18T15:40:33.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-18T15:40:33.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-18T15:40:33.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-18T15:40:33.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-18T15:40:33.524Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (68326.592 ms) ====== [2026-01-18T15:40:37.184Z] ----------------------------------- [2026-01-18T15:40:37.184Z] renaissance-movie-lens_0_PASSED [2026-01-18T15:40:37.184Z] ----------------------------------- [2026-01-18T15:40:37.184Z] [2026-01-18T15:40:37.184Z] TEST TEARDOWN: [2026-01-18T15:40:37.184Z] Nothing to be done for teardown. [2026-01-18T15:40:37.624Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 10:40:37 2026 Epoch Time (ms): 1768750837269