[2025-11-05T23:28:13.653Z] Running test renaissance-movie-lens_0 ... [2025-11-05T23:28:13.653Z] =============================================== [2025-11-05T23:28:13.653Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 18:28:13 2025 Epoch Time (ms): 1762385293284 [2025-11-05T23:28:13.653Z] variation: NoOptions [2025-11-05T23:28:13.653Z] JVM_OPTIONS: [2025-11-05T23:28:13.653Z] { \ [2025-11-05T23:28:13.653Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T23:28:13.653Z] echo "Nothing to be done for setup."; \ [2025-11-05T23:28:13.653Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17623846595439/renaissance-movie-lens_0"; \ [2025-11-05T23:28:13.653Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17623846595439/renaissance-movie-lens_0"; \ [2025-11-05T23:28:13.653Z] echo ""; echo "TESTING:"; \ [2025-11-05T23:28:13.653Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17623846595439/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-05T23:28:13.653Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17623846595439/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T23:28:13.653Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T23:28:13.653Z] echo "Nothing to be done for teardown."; \ [2025-11-05T23:28:13.653Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17623846595439/TestTargetResult"; [2025-11-05T23:28:13.653Z] [2025-11-05T23:28:13.653Z] TEST SETUP: [2025-11-05T23:28:13.653Z] Nothing to be done for setup. [2025-11-05T23:28:13.653Z] [2025-11-05T23:28:13.653Z] TESTING: [2025-11-05T23:28:16.042Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-05T23:28:19.147Z] 18:28:18.946 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-05T23:28:20.397Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T23:28:20.397Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T23:28:20.397Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T23:28:20.397Z] GC before operation: completed in 59.405 ms, heap usage 485.986 MB -> 74.735 MB. [2025-11-05T23:28:23.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:28:25.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:28:27.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:28:28.396Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:28:29.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:28:30.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:28:31.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:28:31.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:28:31.934Z] 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. [2025-11-05T23:28:31.934Z] The best model improves the baseline by 14.52%. [2025-11-05T23:28:31.934Z] Top recommended movies for user id 72: [2025-11-05T23:28:31.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:28:31.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:28:31.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:28:31.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:28:31.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:28:31.934Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11561.684 ms) ====== [2025-11-05T23:28:31.934Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T23:28:32.289Z] GC before operation: completed in 69.318 ms, heap usage 219.270 MB -> 85.641 MB. [2025-11-05T23:28:33.519Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:28:34.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:28:36.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:28:37.817Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:28:38.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:28:39.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:28:40.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:28:40.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:28:41.309Z] 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. [2025-11-05T23:28:41.309Z] The best model improves the baseline by 14.52%. [2025-11-05T23:28:41.309Z] Top recommended movies for user id 72: [2025-11-05T23:28:41.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:28:41.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:28:41.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:28:41.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:28:41.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:28:41.309Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9087.280 ms) ====== [2025-11-05T23:28:41.309Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T23:28:41.309Z] GC before operation: completed in 59.333 ms, heap usage 162.295 MB -> 87.736 MB. [2025-11-05T23:28:42.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:28:43.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:28:45.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:28:46.854Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:28:47.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:28:48.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:28:49.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:28:50.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:28:50.001Z] 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. [2025-11-05T23:28:50.001Z] The best model improves the baseline by 14.52%. [2025-11-05T23:28:50.001Z] Top recommended movies for user id 72: [2025-11-05T23:28:50.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:28:50.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:28:50.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:28:50.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:28:50.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:28:50.001Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8820.629 ms) ====== [2025-11-05T23:28:50.001Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T23:28:50.001Z] GC before operation: completed in 56.900 ms, heap usage 285.260 MB -> 88.534 MB. [2025-11-05T23:28:51.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:28:53.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:28:54.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:28:55.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:28:56.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:28:57.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:28:57.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:28:58.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:28:58.625Z] 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. [2025-11-05T23:28:58.625Z] The best model improves the baseline by 14.52%. [2025-11-05T23:28:58.981Z] Top recommended movies for user id 72: [2025-11-05T23:28:58.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:28:58.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:28:58.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:28:58.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:28:58.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:28:58.981Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8665.206 ms) ====== [2025-11-05T23:28:58.981Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T23:28:58.981Z] GC before operation: completed in 57.823 ms, heap usage 255.403 MB -> 88.714 MB. [2025-11-05T23:29:00.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:01.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:02.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:04.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:04.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:05.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:06.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:07.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:07.316Z] 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. [2025-11-05T23:29:07.316Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:07.316Z] Top recommended movies for user id 72: [2025-11-05T23:29:07.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:07.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:07.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:07.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:07.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:07.316Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8451.206 ms) ====== [2025-11-05T23:29:07.316Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T23:29:07.316Z] GC before operation: completed in 59.257 ms, heap usage 274.221 MB -> 88.689 MB. [2025-11-05T23:29:08.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:10.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:11.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:12.868Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:13.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:13.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:14.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:15.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:15.912Z] 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. [2025-11-05T23:29:15.912Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:15.912Z] Top recommended movies for user id 72: [2025-11-05T23:29:15.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:15.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:15.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:15.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:15.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:15.912Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8495.762 ms) ====== [2025-11-05T23:29:15.912Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T23:29:15.912Z] GC before operation: completed in 55.731 ms, heap usage 118.999 MB -> 88.793 MB. [2025-11-05T23:29:17.181Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:18.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:20.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:20.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:21.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:22.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:23.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:24.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:24.446Z] 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. [2025-11-05T23:29:24.446Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:24.446Z] Top recommended movies for user id 72: [2025-11-05T23:29:24.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:24.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:24.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:24.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:24.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:24.446Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8475.975 ms) ====== [2025-11-05T23:29:24.446Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T23:29:24.446Z] GC before operation: completed in 61.983 ms, heap usage 391.282 MB -> 89.063 MB. [2025-11-05T23:29:25.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:26.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:28.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:29.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:30.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:30.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:31.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:32.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:32.522Z] 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. [2025-11-05T23:29:32.522Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:32.522Z] Top recommended movies for user id 72: [2025-11-05T23:29:32.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:32.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:32.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:32.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:32.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:32.522Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8148.278 ms) ====== [2025-11-05T23:29:32.522Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T23:29:32.878Z] GC before operation: completed in 56.126 ms, heap usage 171.575 MB -> 88.994 MB. [2025-11-05T23:29:34.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:35.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:36.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:37.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:38.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:39.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:39.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:40.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:40.574Z] 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. [2025-11-05T23:29:40.927Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:40.927Z] Top recommended movies for user id 72: [2025-11-05T23:29:40.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:40.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:40.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:40.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:40.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:40.927Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8118.494 ms) ====== [2025-11-05T23:29:40.927Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T23:29:40.927Z] GC before operation: completed in 55.993 ms, heap usage 101.320 MB -> 88.768 MB. [2025-11-05T23:29:42.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:43.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:44.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:45.576Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:46.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:47.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:47.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:48.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:48.654Z] 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. [2025-11-05T23:29:48.654Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:48.654Z] Top recommended movies for user id 72: [2025-11-05T23:29:48.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:48.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:48.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:48.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:48.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:48.654Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7865.600 ms) ====== [2025-11-05T23:29:48.654Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T23:29:48.654Z] GC before operation: completed in 55.149 ms, heap usage 223.767 MB -> 89.229 MB. [2025-11-05T23:29:49.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:51.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:29:52.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:29:53.104Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:29:53.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:29:54.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:29:55.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:29:56.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:29:56.197Z] 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. [2025-11-05T23:29:56.549Z] The best model improves the baseline by 14.52%. [2025-11-05T23:29:56.549Z] Top recommended movies for user id 72: [2025-11-05T23:29:56.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:29:56.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:29:56.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:29:56.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:29:56.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:29:56.549Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7657.597 ms) ====== [2025-11-05T23:29:56.549Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T23:29:56.549Z] GC before operation: completed in 58.423 ms, heap usage 375.922 MB -> 89.097 MB. [2025-11-05T23:29:57.827Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:29:59.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:00.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:01.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:02.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:02.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:03.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:04.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:04.273Z] 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. [2025-11-05T23:30:04.273Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:04.273Z] Top recommended movies for user id 72: [2025-11-05T23:30:04.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:04.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:04.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:04.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:04.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:04.273Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7711.780 ms) ====== [2025-11-05T23:30:04.273Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T23:30:04.273Z] GC before operation: completed in 58.282 ms, heap usage 267.500 MB -> 89.147 MB. [2025-11-05T23:30:05.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:06.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:07.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:08.765Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:09.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:10.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:10.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:11.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:11.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-05T23:30:11.818Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:11.818Z] Top recommended movies for user id 72: [2025-11-05T23:30:11.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:11.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:11.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:11.818Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:11.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:11.818Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7418.731 ms) ====== [2025-11-05T23:30:11.818Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T23:30:11.818Z] GC before operation: completed in 57.996 ms, heap usage 112.046 MB -> 89.158 MB. [2025-11-05T23:30:13.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:14.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:15.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:16.754Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:17.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:18.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:19.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:19.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:19.760Z] 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. [2025-11-05T23:30:19.760Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:19.760Z] Top recommended movies for user id 72: [2025-11-05T23:30:19.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:19.760Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:19.760Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:19.760Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:19.760Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:19.760Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8014.074 ms) ====== [2025-11-05T23:30:19.760Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T23:30:19.760Z] GC before operation: completed in 58.388 ms, heap usage 159.721 MB -> 88.942 MB. [2025-11-05T23:30:20.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:22.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:23.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:24.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:25.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:26.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:27.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:27.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:27.899Z] 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. [2025-11-05T23:30:27.899Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:27.899Z] Top recommended movies for user id 72: [2025-11-05T23:30:27.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:27.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:27.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:27.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:27.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:27.899Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8044.368 ms) ====== [2025-11-05T23:30:27.899Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T23:30:27.899Z] GC before operation: completed in 57.672 ms, heap usage 196.136 MB -> 89.243 MB. [2025-11-05T23:30:29.153Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:30.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:31.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:32.909Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:33.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:34.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:35.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:36.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:36.006Z] 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. [2025-11-05T23:30:36.360Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:36.360Z] Top recommended movies for user id 72: [2025-11-05T23:30:36.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:36.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:36.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:36.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:36.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:36.360Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8319.229 ms) ====== [2025-11-05T23:30:36.360Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T23:30:36.360Z] GC before operation: completed in 66.846 ms, heap usage 173.922 MB -> 89.060 MB. [2025-11-05T23:30:37.604Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:38.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:40.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:41.314Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:42.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:42.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:43.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:44.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:44.395Z] 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. [2025-11-05T23:30:44.395Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:44.748Z] Top recommended movies for user id 72: [2025-11-05T23:30:44.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:44.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:44.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:44.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:44.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:44.748Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8312.348 ms) ====== [2025-11-05T23:30:44.748Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T23:30:44.748Z] GC before operation: completed in 58.033 ms, heap usage 289.863 MB -> 89.287 MB. [2025-11-05T23:30:45.993Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:47.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:48.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:49.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:50.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:51.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:52.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:52.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:52.836Z] 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. [2025-11-05T23:30:52.836Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:52.836Z] Top recommended movies for user id 72: [2025-11-05T23:30:52.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:52.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:52.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:52.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:52.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:52.836Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8252.310 ms) ====== [2025-11-05T23:30:52.836Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T23:30:52.836Z] GC before operation: completed in 57.452 ms, heap usage 237.175 MB -> 88.931 MB. [2025-11-05T23:30:54.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:55.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:57.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:57.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:58.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:59.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:31:00.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:31:00.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:31:00.971Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-05T23:31:00.971Z] The best model improves the baseline by 14.52%. [2025-11-05T23:31:00.971Z] Top recommended movies for user id 72: [2025-11-05T23:31:00.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:31:00.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:31:00.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:31:00.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:31:00.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:31:00.971Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8097.844 ms) ====== [2025-11-05T23:31:00.971Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T23:31:01.341Z] GC before operation: completed in 57.754 ms, heap usage 308.479 MB -> 89.305 MB. [2025-11-05T23:31:02.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:31:03.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:31:04.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:31:05.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:31:06.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:31:07.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:31:08.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:31:09.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:31:09.041Z] 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. [2025-11-05T23:31:09.041Z] The best model improves the baseline by 14.52%. [2025-11-05T23:31:09.397Z] Top recommended movies for user id 72: [2025-11-05T23:31:09.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:31:09.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:31:09.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:31:09.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:31:09.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:31:09.397Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8105.344 ms) ====== [2025-11-05T23:31:09.398Z] ----------------------------------- [2025-11-05T23:31:09.398Z] renaissance-movie-lens_0_PASSED [2025-11-05T23:31:09.398Z] ----------------------------------- [2025-11-05T23:31:09.398Z] [2025-11-05T23:31:09.398Z] TEST TEARDOWN: [2025-11-05T23:31:09.398Z] Nothing to be done for teardown. [2025-11-05T23:31:09.398Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 18:31:09 2025 Epoch Time (ms): 1762385469226