[2026-01-10T01:59:07.291Z] Running test renaissance-movie-lens_0 ... [2026-01-10T01:59:07.291Z] =============================================== [2026-01-10T01:59:07.291Z] renaissance-movie-lens_0 Start Time: Fri Jan 9 20:59:06 2026 Epoch Time (ms): 1768010346873 [2026-01-10T01:59:07.291Z] variation: NoOptions [2026-01-10T01:59:07.291Z] JVM_OPTIONS: [2026-01-10T01:59:07.291Z] { \ [2026-01-10T01:59:07.291Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T01:59:07.291Z] echo "Nothing to be done for setup."; \ [2026-01-10T01:59:07.291Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680097244962/renaissance-movie-lens_0"; \ [2026-01-10T01:59:07.291Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680097244962/renaissance-movie-lens_0"; \ [2026-01-10T01:59:07.291Z] echo ""; echo "TESTING:"; \ [2026-01-10T01:59:07.291Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680097244962/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T01:59:07.291Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680097244962/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T01:59:07.291Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T01:59:07.291Z] echo "Nothing to be done for teardown."; \ [2026-01-10T01:59:07.291Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680097244962/TestTargetResult"; [2026-01-10T01:59:07.291Z] [2026-01-10T01:59:07.291Z] TEST SETUP: [2026-01-10T01:59:07.291Z] Nothing to be done for setup. [2026-01-10T01:59:07.291Z] [2026-01-10T01:59:07.291Z] TESTING: [2026-01-10T01:59:10.434Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T01:59:13.592Z] 20:59:13.207 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T01:59:14.551Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T01:59:14.551Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T01:59:14.551Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T01:59:14.914Z] GC before operation: completed in 55.228 ms, heap usage 305.384 MB -> 75.859 MB. [2026-01-10T01:59:18.140Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:59:19.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:59:21.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:59:23.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:59:23.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:59:25.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:59:25.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:59:26.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:59:26.723Z] 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. [2026-01-10T01:59:26.723Z] The best model improves the baseline by 14.52%. [2026-01-10T01:59:27.085Z] Top recommended movies for user id 72: [2026-01-10T01:59:27.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:59:27.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:59:27.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:59:27.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:59:27.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:59:27.085Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12191.519 ms) ====== [2026-01-10T01:59:27.085Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T01:59:27.085Z] GC before operation: completed in 51.369 ms, heap usage 720.029 MB -> 94.743 MB. [2026-01-10T01:59:28.371Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:59:30.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:59:31.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:59:32.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:59:33.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:59:34.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:59:35.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:59:36.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:59:36.261Z] 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. [2026-01-10T01:59:36.261Z] The best model improves the baseline by 14.52%. [2026-01-10T01:59:36.261Z] Top recommended movies for user id 72: [2026-01-10T01:59:36.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:59:36.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:59:36.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:59:36.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:59:36.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:59:36.261Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9282.061 ms) ====== [2026-01-10T01:59:36.261Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T01:59:36.261Z] GC before operation: completed in 52.273 ms, heap usage 532.215 MB -> 91.229 MB. [2026-01-10T01:59:38.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:59:39.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:59:40.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:59:41.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:59:42.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:59:43.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:59:44.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:59:44.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:59:45.282Z] 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. [2026-01-10T01:59:45.282Z] The best model improves the baseline by 14.52%. [2026-01-10T01:59:45.282Z] Top recommended movies for user id 72: [2026-01-10T01:59:45.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:59:45.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:59:45.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:59:45.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:59:45.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:59:45.282Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9009.697 ms) ====== [2026-01-10T01:59:45.282Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T01:59:45.282Z] GC before operation: completed in 55.228 ms, heap usage 194.214 MB -> 89.324 MB. [2026-01-10T01:59:47.052Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:59:48.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:59:49.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:59:50.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:59:51.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:59:52.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:59:53.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:59:54.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:59:54.400Z] 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. [2026-01-10T01:59:54.400Z] The best model improves the baseline by 14.52%. [2026-01-10T01:59:54.400Z] Top recommended movies for user id 72: [2026-01-10T01:59:54.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:59:54.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:59:54.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:59:54.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:59:54.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:59:54.400Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8997.540 ms) ====== [2026-01-10T01:59:54.400Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T01:59:54.400Z] GC before operation: completed in 67.742 ms, heap usage 253.749 MB -> 90.801 MB. [2026-01-10T01:59:55.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:59:57.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:59:58.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:00.621Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:01.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:02.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:03.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:04.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:04.410Z] 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. [2026-01-10T02:00:04.410Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:04.410Z] Top recommended movies for user id 72: [2026-01-10T02:00:04.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:04.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:04.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:04.410Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:04.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:04.410Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9823.819 ms) ====== [2026-01-10T02:00:04.410Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T02:00:04.410Z] GC before operation: completed in 69.783 ms, heap usage 600.546 MB -> 93.287 MB. [2026-01-10T02:00:06.412Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:07.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:09.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:10.780Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:11.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:12.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:13.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:14.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:14.686Z] 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. [2026-01-10T02:00:14.686Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:14.686Z] Top recommended movies for user id 72: [2026-01-10T02:00:14.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:14.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:14.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:14.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:14.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:14.686Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10311.790 ms) ====== [2026-01-10T02:00:14.686Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T02:00:14.686Z] GC before operation: completed in 66.434 ms, heap usage 264.696 MB -> 94.099 MB. [2026-01-10T02:00:16.478Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:17.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:18.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:20.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:21.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:21.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:22.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:23.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:23.835Z] 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. [2026-01-10T02:00:23.835Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:23.835Z] Top recommended movies for user id 72: [2026-01-10T02:00:23.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:23.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:23.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:23.835Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:23.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:23.835Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9049.312 ms) ====== [2026-01-10T02:00:23.835Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T02:00:23.835Z] GC before operation: completed in 54.707 ms, heap usage 190.214 MB -> 93.320 MB. [2026-01-10T02:00:25.076Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:26.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:28.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:29.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:30.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:30.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:31.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:32.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:32.568Z] 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. [2026-01-10T02:00:32.568Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:32.568Z] Top recommended movies for user id 72: [2026-01-10T02:00:32.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:32.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:32.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:32.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:32.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:32.568Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8827.528 ms) ====== [2026-01-10T02:00:32.568Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T02:00:32.568Z] GC before operation: completed in 59.138 ms, heap usage 481.131 MB -> 90.548 MB. [2026-01-10T02:00:34.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:35.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:36.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:38.055Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:38.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:39.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:40.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:41.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:41.104Z] 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. [2026-01-10T02:00:41.104Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:41.104Z] Top recommended movies for user id 72: [2026-01-10T02:00:41.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:41.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:41.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:41.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:41.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:41.104Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8548.231 ms) ====== [2026-01-10T02:00:41.104Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T02:00:41.457Z] GC before operation: completed in 59.151 ms, heap usage 359.472 MB -> 90.170 MB. [2026-01-10T02:00:42.685Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:43.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:45.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:46.476Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:47.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:48.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:48.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:49.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:49.536Z] 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. [2026-01-10T02:00:49.536Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:49.536Z] Top recommended movies for user id 72: [2026-01-10T02:00:49.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:49.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:49.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:49.536Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:49.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:49.536Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8351.338 ms) ====== [2026-01-10T02:00:49.536Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T02:00:49.896Z] GC before operation: completed in 50.849 ms, heap usage 118.125 MB -> 92.821 MB. [2026-01-10T02:00:51.134Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:00:52.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:00:53.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:00:54.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:00:55.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:00:56.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:00:57.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:00:58.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:00:58.613Z] 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. [2026-01-10T02:00:58.613Z] The best model improves the baseline by 14.52%. [2026-01-10T02:00:58.613Z] Top recommended movies for user id 72: [2026-01-10T02:00:58.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:00:58.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:00:58.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:00:58.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:00:58.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:00:58.613Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8900.069 ms) ====== [2026-01-10T02:00:58.613Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T02:00:58.613Z] GC before operation: completed in 63.096 ms, heap usage 223.939 MB -> 95.517 MB. [2026-01-10T02:00:59.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:01.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:02.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:03.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:04.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:05.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:05.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:06.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:06.308Z] 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. [2026-01-10T02:01:06.308Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:06.662Z] Top recommended movies for user id 72: [2026-01-10T02:01:06.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:06.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:06.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:06.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:06.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:06.662Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7873.292 ms) ====== [2026-01-10T02:01:06.662Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T02:01:06.662Z] GC before operation: completed in 56.389 ms, heap usage 215.824 MB -> 94.704 MB. [2026-01-10T02:01:07.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:09.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:09.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:11.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:11.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:12.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:13.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:14.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:14.271Z] 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. [2026-01-10T02:01:14.271Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:14.271Z] Top recommended movies for user id 72: [2026-01-10T02:01:14.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:14.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:14.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:14.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:14.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:14.271Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7791.390 ms) ====== [2026-01-10T02:01:14.271Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T02:01:14.629Z] GC before operation: completed in 53.202 ms, heap usage 362.875 MB -> 90.476 MB. [2026-01-10T02:01:15.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:16.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:17.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:19.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:19.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:20.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:21.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:21.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:22.265Z] 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. [2026-01-10T02:01:22.265Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:22.265Z] Top recommended movies for user id 72: [2026-01-10T02:01:22.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:22.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:22.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:22.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:22.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:22.265Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7760.699 ms) ====== [2026-01-10T02:01:22.265Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T02:01:22.265Z] GC before operation: completed in 56.626 ms, heap usage 190.551 MB -> 93.270 MB. [2026-01-10T02:01:23.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:24.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:25.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:26.761Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:27.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:28.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:29.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:29.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:30.290Z] 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. [2026-01-10T02:01:30.290Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:30.290Z] Top recommended movies for user id 72: [2026-01-10T02:01:30.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:30.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:30.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:30.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:30.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:30.290Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7979.533 ms) ====== [2026-01-10T02:01:30.290Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T02:01:30.290Z] GC before operation: completed in 58.769 ms, heap usage 219.316 MB -> 93.541 MB. [2026-01-10T02:01:31.530Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:32.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:34.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:35.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:35.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:36.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:37.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:38.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:38.011Z] 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. [2026-01-10T02:01:38.011Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:38.011Z] Top recommended movies for user id 72: [2026-01-10T02:01:38.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:38.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:38.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:38.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:38.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:38.011Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7662.292 ms) ====== [2026-01-10T02:01:38.011Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T02:01:38.011Z] GC before operation: completed in 45.491 ms, heap usage 432.293 MB -> 90.398 MB. [2026-01-10T02:01:39.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:40.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:41.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:42.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:43.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:43.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:44.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:45.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:45.396Z] 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. [2026-01-10T02:01:45.396Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:45.753Z] Top recommended movies for user id 72: [2026-01-10T02:01:45.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:45.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:45.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:45.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:45.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:45.753Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7553.306 ms) ====== [2026-01-10T02:01:45.753Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T02:01:45.753Z] GC before operation: completed in 56.898 ms, heap usage 180.043 MB -> 90.256 MB. [2026-01-10T02:01:46.973Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:48.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:49.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:50.703Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:51.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:01:52.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:01:53.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:01:53.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:01:53.812Z] 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. [2026-01-10T02:01:53.812Z] The best model improves the baseline by 14.52%. [2026-01-10T02:01:54.170Z] Top recommended movies for user id 72: [2026-01-10T02:01:54.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:01:54.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:01:54.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:01:54.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:01:54.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:01:54.170Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8389.639 ms) ====== [2026-01-10T02:01:54.170Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T02:01:54.170Z] GC before operation: completed in 48.929 ms, heap usage 226.863 MB -> 90.106 MB. [2026-01-10T02:01:55.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:01:56.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:01:57.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:01:59.110Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:01:59.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:02:00.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:02:01.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:02:02.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:02:02.231Z] 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. [2026-01-10T02:02:02.231Z] The best model improves the baseline by 14.52%. [2026-01-10T02:02:02.231Z] Top recommended movies for user id 72: [2026-01-10T02:02:02.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:02:02.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:02:02.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:02:02.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:02:02.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:02:02.231Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8129.682 ms) ====== [2026-01-10T02:02:02.231Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T02:02:02.231Z] GC before operation: completed in 51.914 ms, heap usage 722.410 MB -> 94.110 MB. [2026-01-10T02:02:03.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T02:02:04.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T02:02:05.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T02:02:07.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T02:02:07.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T02:02:08.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T02:02:09.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T02:02:10.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T02:02:10.260Z] 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. [2026-01-10T02:02:10.260Z] The best model improves the baseline by 14.52%. [2026-01-10T02:02:10.260Z] Top recommended movies for user id 72: [2026-01-10T02:02:10.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T02:02:10.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T02:02:10.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T02:02:10.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T02:02:10.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T02:02:10.260Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8069.447 ms) ====== [2026-01-10T02:02:10.613Z] ----------------------------------- [2026-01-10T02:02:10.613Z] renaissance-movie-lens_0_PASSED [2026-01-10T02:02:10.613Z] ----------------------------------- [2026-01-10T02:02:10.613Z] [2026-01-10T02:02:10.613Z] TEST TEARDOWN: [2026-01-10T02:02:10.613Z] Nothing to be done for teardown. [2026-01-10T02:02:10.613Z] renaissance-movie-lens_0 Finish Time: Fri Jan 9 21:02:10 2026 Epoch Time (ms): 1768010530320