[2026-01-10T13:51:47.258Z] Running test renaissance-movie-lens_0 ... [2026-01-10T13:51:47.258Z] =============================================== [2026-01-10T13:51:47.258Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 08:51:45 2026 Epoch Time (ms): 1768053105463 [2026-01-10T13:51:47.258Z] variation: NoOptions [2026-01-10T13:51:47.258Z] JVM_OPTIONS: [2026-01-10T13:51:47.258Z] { \ [2026-01-10T13:51:47.258Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T13:51:47.258Z] echo "Nothing to be done for setup."; \ [2026-01-10T13:51:47.258Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_1768050119684/renaissance-movie-lens_0"; \ [2026-01-10T13:51:47.258Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_1768050119684/renaissance-movie-lens_0"; \ [2026-01-10T13:51:47.258Z] echo ""; echo "TESTING:"; \ [2026-01-10T13:51:47.258Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/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_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_1768050119684/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T13:51:47.258Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_1768050119684/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T13:51:47.258Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T13:51:47.258Z] echo "Nothing to be done for teardown."; \ [2026-01-10T13:51:47.258Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_1768050119684/TestTargetResult"; [2026-01-10T13:51:47.258Z] [2026-01-10T13:51:47.258Z] TEST SETUP: [2026-01-10T13:51:47.258Z] Nothing to be done for setup. [2026-01-10T13:51:47.258Z] [2026-01-10T13:51:47.258Z] TESTING: [2026-01-10T13:52:09.095Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T13:52:34.929Z] 08:52:34.744 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. [2026-01-10T13:52:43.156Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T13:52:44.872Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T13:52:44.872Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T13:52:45.540Z] GC before operation: completed in 459.111 ms, heap usage 300.111 MB -> 74.897 MB. [2026-01-10T13:53:22.596Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:53:42.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:53:58.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:54:25.099Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:54:33.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:54:44.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:54:52.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:55:01.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:55:02.196Z] 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. [2026-01-10T13:55:02.762Z] The best model improves the baseline by 14.52%. [2026-01-10T13:55:03.471Z] Top recommended movies for user id 72: [2026-01-10T13:55:03.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:55:03.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:55:03.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:55:03.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:55:03.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:55:03.471Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (137922.833 ms) ====== [2026-01-10T13:55:03.471Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T13:55:04.576Z] GC before operation: completed in 1309.079 ms, heap usage 797.883 MB -> 92.024 MB. [2026-01-10T13:55:27.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:55:40.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:55:55.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:56:14.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:56:22.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:56:30.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:56:39.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:56:49.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:56:49.280Z] 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. [2026-01-10T13:56:49.280Z] The best model improves the baseline by 14.52%. [2026-01-10T13:56:51.055Z] Top recommended movies for user id 72: [2026-01-10T13:56:51.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:56:51.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:56:51.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:56:51.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:56:51.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:56:51.055Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (106068.730 ms) ====== [2026-01-10T13:56:51.055Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T13:56:51.055Z] GC before operation: completed in 434.099 ms, heap usage 175.756 MB -> 89.720 MB. [2026-01-10T13:57:10.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:57:29.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:57:44.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:57:54.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:58:01.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:58:10.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:58:20.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:58:28.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:58:29.931Z] 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. [2026-01-10T13:58:29.931Z] The best model improves the baseline by 14.52%. [2026-01-10T13:58:30.408Z] Top recommended movies for user id 72: [2026-01-10T13:58:30.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:58:30.408Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:58:30.408Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:58:30.408Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:58:30.408Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:58:30.408Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (98950.136 ms) ====== [2026-01-10T13:58:30.408Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T13:58:30.956Z] GC before operation: completed in 741.484 ms, heap usage 848.624 MB -> 93.891 MB. [2026-01-10T13:58:49.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:59:00.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:59:19.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:59:33.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:59:40.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:59:49.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:59:57.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:00:05.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:00:06.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T14:00:06.174Z] The best model improves the baseline by 14.52%. [2026-01-10T14:00:07.528Z] Top recommended movies for user id 72: [2026-01-10T14:00:07.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:00:07.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:00:07.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:00:07.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:00:07.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:00:07.528Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (96639.710 ms) ====== [2026-01-10T14:00:07.528Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T14:00:08.048Z] GC before operation: completed in 367.616 ms, heap usage 602.012 MB -> 92.600 MB. [2026-01-10T14:00:27.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:00:40.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:00:53.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:01:04.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:01:12.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:01:18.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:01:26.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:01:34.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:01:35.442Z] 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. [2026-01-10T14:01:35.442Z] The best model improves the baseline by 14.52%. [2026-01-10T14:01:35.974Z] Top recommended movies for user id 72: [2026-01-10T14:01:35.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:01:35.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:01:35.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:01:35.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:01:35.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:01:35.974Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (88157.519 ms) ====== [2026-01-10T14:01:35.974Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T14:01:36.388Z] GC before operation: completed in 369.584 ms, heap usage 440.942 MB -> 88.949 MB. [2026-01-10T14:01:55.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:02:07.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:02:25.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:02:38.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:02:48.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:02:57.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:03:06.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:03:15.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:03:15.490Z] 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. [2026-01-10T14:03:15.490Z] The best model improves the baseline by 14.52%. [2026-01-10T14:03:15.490Z] Top recommended movies for user id 72: [2026-01-10T14:03:15.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:03:15.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:03:15.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:03:15.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:03:15.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:03:15.490Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (98806.173 ms) ====== [2026-01-10T14:03:15.490Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T14:03:15.490Z] GC before operation: completed in 276.678 ms, heap usage 495.031 MB -> 89.390 MB. [2026-01-10T14:03:34.206Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:03:49.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:04:01.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:04:14.544Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:04:18.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:04:24.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:04:30.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:04:36.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:04:37.454Z] 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. [2026-01-10T14:04:37.454Z] The best model improves the baseline by 14.52%. [2026-01-10T14:04:37.916Z] Top recommended movies for user id 72: [2026-01-10T14:04:37.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:04:37.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:04:37.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:04:37.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:04:37.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:04:37.916Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (82251.493 ms) ====== [2026-01-10T14:04:37.916Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T14:04:38.428Z] GC before operation: completed in 345.141 ms, heap usage 850.870 MB -> 93.502 MB. [2026-01-10T14:04:57.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:05:13.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:05:23.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:05:35.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:05:42.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:05:50.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:05:57.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:06:05.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:06:05.663Z] 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. [2026-01-10T14:06:05.663Z] The best model improves the baseline by 14.52%. [2026-01-10T14:06:05.663Z] Top recommended movies for user id 72: [2026-01-10T14:06:05.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:06:05.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:06:05.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:06:05.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:06:05.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:06:05.663Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (87268.278 ms) ====== [2026-01-10T14:06:05.663Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T14:06:06.357Z] GC before operation: completed in 967.785 ms, heap usage 1.134 GB -> 94.689 MB. [2026-01-10T14:06:19.066Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:06:32.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:06:42.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:06:56.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:07:01.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:07:06.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:07:14.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:07:21.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:07:21.183Z] 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. [2026-01-10T14:07:21.183Z] The best model improves the baseline by 14.52%. [2026-01-10T14:07:21.679Z] Top recommended movies for user id 72: [2026-01-10T14:07:21.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:07:21.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:07:21.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:07:21.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:07:21.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:07:21.679Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (75219.133 ms) ====== [2026-01-10T14:07:21.679Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T14:07:22.271Z] GC before operation: completed in 303.812 ms, heap usage 590.029 MB -> 92.859 MB. [2026-01-10T14:07:37.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:07:49.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:07:58.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:08:07.409Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:08:13.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:08:18.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:08:24.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:08:30.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:08:31.107Z] 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. [2026-01-10T14:08:31.107Z] The best model improves the baseline by 14.52%. [2026-01-10T14:08:31.689Z] Top recommended movies for user id 72: [2026-01-10T14:08:31.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:08:31.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:08:31.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:08:31.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:08:31.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:08:31.689Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (69397.647 ms) ====== [2026-01-10T14:08:31.689Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T14:08:32.352Z] GC before operation: completed in 599.729 ms, heap usage 744.115 MB -> 93.183 MB. [2026-01-10T14:08:47.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:08:58.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:09:10.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:09:21.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:09:29.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:09:38.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:09:47.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:09:54.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:09:54.996Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T14:09:54.996Z] The best model improves the baseline by 14.52%. [2026-01-10T14:09:55.464Z] Top recommended movies for user id 72: [2026-01-10T14:09:55.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:09:55.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:09:55.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:09:55.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:09:55.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:09:55.464Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (83403.758 ms) ====== [2026-01-10T14:09:55.464Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T14:09:55.464Z] GC before operation: completed in 280.427 ms, heap usage 191.790 MB -> 90.308 MB. [2026-01-10T14:10:11.072Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:10:22.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:10:36.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:10:55.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:11:05.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:11:14.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:11:22.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:11:28.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:11:28.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T14:11:29.399Z] The best model improves the baseline by 14.52%. [2026-01-10T14:11:29.399Z] Top recommended movies for user id 72: [2026-01-10T14:11:29.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:11:29.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:11:29.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:11:29.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:11:29.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:11:29.399Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (93973.977 ms) ====== [2026-01-10T14:11:29.399Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T14:11:29.928Z] GC before operation: completed in 248.410 ms, heap usage 480.633 MB -> 91.379 MB. [2026-01-10T14:11:45.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:12:02.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:12:13.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:12:28.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:12:32.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:12:38.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:12:43.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:12:53.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:12:53.102Z] 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. [2026-01-10T14:12:53.719Z] The best model improves the baseline by 14.52%. [2026-01-10T14:12:53.719Z] Top recommended movies for user id 72: [2026-01-10T14:12:53.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:12:53.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:12:53.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:12:53.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:12:53.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:12:53.719Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (84004.964 ms) ====== [2026-01-10T14:12:53.719Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T14:12:54.412Z] GC before operation: completed in 563.567 ms, heap usage 711.560 MB -> 93.329 MB. [2026-01-10T14:13:16.735Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:13:30.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:13:49.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:14:00.134Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:14:08.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:14:16.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:14:23.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:14:30.872Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:14:30.872Z] 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. [2026-01-10T14:14:30.872Z] The best model improves the baseline by 14.52%. [2026-01-10T14:14:32.026Z] Top recommended movies for user id 72: [2026-01-10T14:14:32.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:14:32.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:14:32.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:14:32.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:14:32.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:14:32.026Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (97207.794 ms) ====== [2026-01-10T14:14:32.026Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T14:14:32.026Z] GC before operation: completed in 295.310 ms, heap usage 955.695 MB -> 95.787 MB. [2026-01-10T14:14:42.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:14:53.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:15:04.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:15:17.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:15:24.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:15:31.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:15:38.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:15:45.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:15:46.478Z] 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. [2026-01-10T14:15:46.478Z] The best model improves the baseline by 14.52%. [2026-01-10T14:15:46.997Z] Top recommended movies for user id 72: [2026-01-10T14:15:46.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:15:46.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:15:46.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:15:46.997Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:15:46.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:15:46.997Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (75000.342 ms) ====== [2026-01-10T14:15:46.997Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T14:15:47.467Z] GC before operation: completed in 302.188 ms, heap usage 285.777 MB -> 89.641 MB. [2026-01-10T14:16:06.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:16:19.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:16:30.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:16:41.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:16:46.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:16:55.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:17:03.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:17:11.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:17:12.058Z] 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. [2026-01-10T14:17:12.058Z] The best model improves the baseline by 14.52%. [2026-01-10T14:17:12.058Z] Top recommended movies for user id 72: [2026-01-10T14:17:12.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:17:12.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:17:12.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:17:12.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:17:12.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:17:12.058Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (84841.466 ms) ====== [2026-01-10T14:17:12.058Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T14:17:12.571Z] GC before operation: completed in 388.109 ms, heap usage 1.102 GB -> 94.775 MB. [2026-01-10T14:17:28.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:17:39.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:17:51.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:18:04.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:18:12.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:18:20.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:18:26.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:18:33.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:18:33.523Z] 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. [2026-01-10T14:18:34.041Z] The best model improves the baseline by 14.52%. [2026-01-10T14:18:34.041Z] Top recommended movies for user id 72: [2026-01-10T14:18:34.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:18:34.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:18:34.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:18:34.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:18:34.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:18:34.041Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (81600.389 ms) ====== [2026-01-10T14:18:34.041Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T14:18:34.688Z] GC before operation: completed in 262.324 ms, heap usage 670.189 MB -> 93.276 MB. [2026-01-10T14:18:50.524Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:19:01.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:19:14.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:19:23.519Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:19:35.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:19:44.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:19:52.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:20:02.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:20:02.998Z] 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. [2026-01-10T14:20:03.506Z] The best model improves the baseline by 14.52%. [2026-01-10T14:20:04.048Z] Top recommended movies for user id 72: [2026-01-10T14:20:04.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:20:04.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:20:04.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:20:04.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:20:04.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:20:04.048Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (89512.476 ms) ====== [2026-01-10T14:20:04.048Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T14:20:04.048Z] GC before operation: completed in 247.612 ms, heap usage 176.498 MB -> 89.226 MB. [2026-01-10T14:20:26.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:20:37.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:20:53.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:21:06.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:21:14.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:21:21.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:21:29.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:21:37.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:21:37.622Z] 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. [2026-01-10T14:21:37.622Z] The best model improves the baseline by 14.52%. [2026-01-10T14:21:39.185Z] Top recommended movies for user id 72: [2026-01-10T14:21:39.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:21:39.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:21:39.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:21:39.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:21:39.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:21:39.185Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (94648.081 ms) ====== [2026-01-10T14:21:39.185Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T14:21:39.185Z] GC before operation: completed in 304.027 ms, heap usage 298.236 MB -> 91.829 MB. [2026-01-10T14:21:54.876Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T14:22:07.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T14:22:20.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T14:22:35.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T14:22:41.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T14:22:47.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T14:22:53.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T14:23:02.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T14:23:03.378Z] 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. [2026-01-10T14:23:03.378Z] The best model improves the baseline by 14.52%. [2026-01-10T14:23:03.811Z] Top recommended movies for user id 72: [2026-01-10T14:23:03.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T14:23:03.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T14:23:03.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T14:23:03.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T14:23:03.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T14:23:03.811Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (84808.926 ms) ====== [2026-01-10T14:23:10.996Z] ----------------------------------- [2026-01-10T14:23:10.996Z] renaissance-movie-lens_0_PASSED [2026-01-10T14:23:10.996Z] ----------------------------------- [2026-01-10T14:23:10.996Z] [2026-01-10T14:23:10.996Z] TEST TEARDOWN: [2026-01-10T14:23:10.996Z] Nothing to be done for teardown. [2026-01-10T14:23:10.996Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 09:23:10 2026 Epoch Time (ms): 1768054990716