[2026-03-04T22:18:24.598Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:18:24.598Z] =============================================== [2026-03-04T22:18:24.598Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 17:18:24 2026 Epoch Time (ms): 1772662704518 [2026-03-04T22:18:24.598Z] variation: NoOptions [2026-03-04T22:18:24.598Z] JVM_OPTIONS: [2026-03-04T22:18:24.598Z] { \ [2026-03-04T22:18:24.598Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:18:24.598Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:18:24.598Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726623779878/renaissance-movie-lens_0"; \ [2026-03-04T22:18:24.598Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726623779878/renaissance-movie-lens_0"; \ [2026-03-04T22:18:24.598Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:18:24.598Z] "/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_17726623779878/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:18:24.598Z] 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_17726623779878/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:18:24.598Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:18:24.598Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:18:24.598Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726623779878/TestTargetResult"; [2026-03-04T22:18:24.598Z] [2026-03-04T22:18:24.598Z] TEST SETUP: [2026-03-04T22:18:24.598Z] Nothing to be done for setup. [2026-03-04T22:18:24.598Z] [2026-03-04T22:18:24.598Z] TESTING: [2026-03-04T22:18:27.692Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T22:18:29.506Z] 17:18:29.393 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T22:18:30.292Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:18:30.674Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:18:30.674Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:18:30.674Z] GC before operation: completed in 52.400 ms, heap usage 422.946 MB -> 75.917 MB. [2026-03-04T22:18:33.081Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:18:34.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:18:36.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:18:37.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:18:38.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:18:38.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:18:39.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:18:40.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:18:40.581Z] 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. [2026-03-04T22:18:40.581Z] The best model improves the baseline by 14.52%. [2026-03-04T22:18:40.581Z] Top recommended movies for user id 72: [2026-03-04T22:18:40.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:18:40.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:18:40.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:18:40.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:18:40.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:18:40.581Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9992.644 ms) ====== [2026-03-04T22:18:40.581Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:18:40.581Z] GC before operation: completed in 44.738 ms, heap usage 315.178 MB -> 90.415 MB. [2026-03-04T22:18:41.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:18:43.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:18:44.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:18:45.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:18:46.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:18:46.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:18:47.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:18:48.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:18:48.149Z] 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. [2026-03-04T22:18:48.149Z] The best model improves the baseline by 14.52%. [2026-03-04T22:18:48.149Z] Top recommended movies for user id 72: [2026-03-04T22:18:48.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:18:48.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:18:48.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:18:48.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:18:48.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:18:48.149Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7725.560 ms) ====== [2026-03-04T22:18:48.149Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:18:48.576Z] GC before operation: completed in 42.529 ms, heap usage 714.000 MB -> 92.542 MB. [2026-03-04T22:18:49.364Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:18:50.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:18:51.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:18:53.061Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:18:53.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:18:54.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:18:54.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:18:55.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:18:55.704Z] 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. [2026-03-04T22:18:55.704Z] The best model improves the baseline by 14.52%. [2026-03-04T22:18:55.704Z] Top recommended movies for user id 72: [2026-03-04T22:18:55.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:18:55.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:18:55.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:18:55.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:18:55.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:18:55.704Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7399.896 ms) ====== [2026-03-04T22:18:55.704Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:18:55.704Z] GC before operation: completed in 43.214 ms, heap usage 289.130 MB -> 89.410 MB. [2026-03-04T22:18:56.948Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:18:58.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:18:59.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:00.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:00.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:01.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:02.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:02.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:03.184Z] 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. [2026-03-04T22:19:03.184Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:03.184Z] Top recommended movies for user id 72: [2026-03-04T22:19:03.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:03.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:03.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:03.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:03.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:03.184Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7324.987 ms) ====== [2026-03-04T22:19:03.184Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:19:03.184Z] GC before operation: completed in 48.780 ms, heap usage 298.157 MB -> 89.905 MB. [2026-03-04T22:19:04.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:05.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:06.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:07.684Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:08.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:08.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:09.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:10.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:10.412Z] 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. [2026-03-04T22:19:10.412Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:10.412Z] Top recommended movies for user id 72: [2026-03-04T22:19:10.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:10.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:10.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:10.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:10.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:10.412Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7204.329 ms) ====== [2026-03-04T22:19:10.412Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:19:10.412Z] GC before operation: completed in 46.979 ms, heap usage 305.225 MB -> 89.888 MB. [2026-03-04T22:19:11.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:12.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:13.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:14.924Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:15.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:16.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:16.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:17.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:17.605Z] 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. [2026-03-04T22:19:17.605Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:17.605Z] Top recommended movies for user id 72: [2026-03-04T22:19:17.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:17.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:17.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:17.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:17.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:17.605Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7213.409 ms) ====== [2026-03-04T22:19:17.605Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:19:17.605Z] GC before operation: completed in 47.182 ms, heap usage 217.029 MB -> 90.038 MB. [2026-03-04T22:19:18.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:20.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:20.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:22.152Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:22.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:23.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:24.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:25.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:25.134Z] 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. [2026-03-04T22:19:25.134Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:25.134Z] Top recommended movies for user id 72: [2026-03-04T22:19:25.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:25.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:25.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:25.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:25.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:25.134Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7593.376 ms) ====== [2026-03-04T22:19:25.134Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:19:25.529Z] GC before operation: completed in 41.081 ms, heap usage 452.704 MB -> 90.356 MB. [2026-03-04T22:19:30.073Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:30.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:30.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:30.073Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:30.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:30.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:31.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:32.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:32.339Z] 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. [2026-03-04T22:19:32.339Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:32.339Z] Top recommended movies for user id 72: [2026-03-04T22:19:32.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:32.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:32.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:32.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:32.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:32.339Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7144.002 ms) ====== [2026-03-04T22:19:32.339Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:19:32.698Z] GC before operation: completed in 46.562 ms, heap usage 315.846 MB -> 90.467 MB. [2026-03-04T22:19:33.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:34.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:35.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:37.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:37.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:38.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:39.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:39.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:39.810Z] 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. [2026-03-04T22:19:39.810Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:39.810Z] Top recommended movies for user id 72: [2026-03-04T22:19:39.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:39.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:39.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:39.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:39.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:39.810Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7245.494 ms) ====== [2026-03-04T22:19:39.810Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:19:39.810Z] GC before operation: completed in 42.102 ms, heap usage 316.569 MB -> 90.350 MB. [2026-03-04T22:19:41.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:41.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:43.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:44.298Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:45.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:45.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:47.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:48.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:48.356Z] 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. [2026-03-04T22:19:48.356Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:48.356Z] Top recommended movies for user id 72: [2026-03-04T22:19:48.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:48.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:48.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:48.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:48.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:48.356Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8557.332 ms) ====== [2026-03-04T22:19:48.356Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:19:48.356Z] GC before operation: completed in 67.948 ms, heap usage 336.271 MB -> 90.371 MB. [2026-03-04T22:19:50.141Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:19:51.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:19:53.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:19:54.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:19:55.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:19:56.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:19:57.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:19:57.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:19:57.914Z] 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. [2026-03-04T22:19:57.914Z] The best model improves the baseline by 14.52%. [2026-03-04T22:19:57.914Z] Top recommended movies for user id 72: [2026-03-04T22:19:57.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:19:57.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:19:57.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:19:57.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:19:57.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:19:57.914Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9560.522 ms) ====== [2026-03-04T22:19:57.914Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:19:57.914Z] GC before operation: completed in 57.380 ms, heap usage 215.411 MB -> 89.969 MB. [2026-03-04T22:19:59.178Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:00.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:01.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:02.724Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:03.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:04.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:05.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:05.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:06.297Z] 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. [2026-03-04T22:20:06.297Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:06.297Z] Top recommended movies for user id 72: [2026-03-04T22:20:06.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:06.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:06.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:06.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:06.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:06.297Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8189.254 ms) ====== [2026-03-04T22:20:06.297Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:20:06.297Z] GC before operation: completed in 50.394 ms, heap usage 103.066 MB -> 94.133 MB. [2026-03-04T22:20:07.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:08.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:10.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:12.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:12.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:13.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:14.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:15.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:15.211Z] 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. [2026-03-04T22:20:15.211Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:15.573Z] Top recommended movies for user id 72: [2026-03-04T22:20:15.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:15.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:15.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:15.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:15.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:15.573Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9111.403 ms) ====== [2026-03-04T22:20:15.574Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:20:15.574Z] GC before operation: completed in 68.949 ms, heap usage 754.083 MB -> 94.244 MB. [2026-03-04T22:20:16.846Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:18.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:19.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:21.127Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:21.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:22.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:23.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:24.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:24.660Z] 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. [2026-03-04T22:20:24.660Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:24.660Z] Top recommended movies for user id 72: [2026-03-04T22:20:24.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:24.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:24.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:24.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:24.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:24.660Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9223.948 ms) ====== [2026-03-04T22:20:24.660Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:20:24.660Z] GC before operation: completed in 52.381 ms, heap usage 162.298 MB -> 90.903 MB. [2026-03-04T22:20:25.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:27.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:28.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:30.194Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:30.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:31.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:32.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:33.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:33.705Z] 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. [2026-03-04T22:20:33.705Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:33.705Z] Top recommended movies for user id 72: [2026-03-04T22:20:33.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:33.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:33.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:33.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:33.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:33.705Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8847.529 ms) ====== [2026-03-04T22:20:33.705Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:20:33.705Z] GC before operation: completed in 58.943 ms, heap usage 541.994 MB -> 90.957 MB. [2026-03-04T22:20:34.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:36.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:37.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:38.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:39.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:40.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:41.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:42.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:42.150Z] 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. [2026-03-04T22:20:42.150Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:42.510Z] Top recommended movies for user id 72: [2026-03-04T22:20:42.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:42.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:42.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:42.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:42.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:42.510Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8725.890 ms) ====== [2026-03-04T22:20:42.510Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:20:42.510Z] GC before operation: completed in 61.093 ms, heap usage 475.514 MB -> 90.641 MB. [2026-03-04T22:20:43.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:45.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:46.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:47.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:48.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:49.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:50.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:50.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:20:51.143Z] 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. [2026-03-04T22:20:51.143Z] The best model improves the baseline by 14.52%. [2026-03-04T22:20:51.143Z] Top recommended movies for user id 72: [2026-03-04T22:20:51.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:20:51.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:20:51.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:20:51.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:20:51.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:20:51.143Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8655.910 ms) ====== [2026-03-04T22:20:51.143Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:20:51.143Z] GC before operation: completed in 64.318 ms, heap usage 285.551 MB -> 90.508 MB. [2026-03-04T22:20:52.396Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:53.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:54.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:56.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:57.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:20:58.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:20:59.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:20:59.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:00.154Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T22:21:00.154Z] The best model improves the baseline by 14.52%. [2026-03-04T22:21:00.154Z] Top recommended movies for user id 72: [2026-03-04T22:21:00.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:21:00.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:21:00.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:21:00.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:21:00.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:21:00.154Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9019.829 ms) ====== [2026-03-04T22:21:00.154Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:21:00.154Z] GC before operation: completed in 56.430 ms, heap usage 437.061 MB -> 90.477 MB. [2026-03-04T22:21:02.029Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:03.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:21:05.119Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:21:06.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:21:07.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:07.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:08.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:09.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:09.655Z] 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. [2026-03-04T22:21:09.655Z] The best model improves the baseline by 14.52%. [2026-03-04T22:21:09.655Z] Top recommended movies for user id 72: [2026-03-04T22:21:09.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:21:09.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:21:09.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:21:09.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:21:09.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:21:09.655Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9537.234 ms) ====== [2026-03-04T22:21:09.655Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:21:10.028Z] GC before operation: completed in 54.392 ms, heap usage 274.768 MB -> 90.463 MB. [2026-03-04T22:21:11.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:12.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:21:14.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:21:15.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:21:16.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:17.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:18.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:19.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:19.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T22:21:19.563Z] The best model improves the baseline by 14.52%. [2026-03-04T22:21:19.563Z] Top recommended movies for user id 72: [2026-03-04T22:21:19.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:21:19.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:21:19.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:21:19.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:21:19.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:21:19.563Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9727.730 ms) ====== [2026-03-04T22:21:19.912Z] ----------------------------------- [2026-03-04T22:21:19.912Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:21:19.912Z] ----------------------------------- [2026-03-04T22:21:19.912Z] [2026-03-04T22:21:19.912Z] TEST TEARDOWN: [2026-03-04T22:21:19.912Z] Nothing to be done for teardown. [2026-03-04T22:21:19.912Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 17:21:19 2026 Epoch Time (ms): 1772662879734