[2025-12-16T08:52:41.486Z] Running test renaissance-movie-lens_0 ... [2025-12-16T08:52:41.486Z] =============================================== [2025-12-16T08:52:41.486Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 03:52:41 2025 Epoch Time (ms): 1765875161115 [2025-12-16T08:52:41.486Z] variation: NoOptions [2025-12-16T08:52:41.486Z] JVM_OPTIONS: [2025-12-16T08:52:41.486Z] { \ [2025-12-16T08:52:41.486Z] echo ""; echo "TEST SETUP:"; \ [2025-12-16T08:52:41.486Z] echo "Nothing to be done for setup."; \ [2025-12-16T08:52:41.486Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17658746668667/renaissance-movie-lens_0"; \ [2025-12-16T08:52:41.486Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17658746668667/renaissance-movie-lens_0"; \ [2025-12-16T08:52:41.486Z] echo ""; echo "TESTING:"; \ [2025-12-16T08:52:41.486Z] "/Users/admin/workspace/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17658746668667/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-16T08:52:41.486Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17658746668667/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-16T08:52:41.486Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-16T08:52:41.486Z] echo "Nothing to be done for teardown."; \ [2025-12-16T08:52:41.486Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17658746668667/TestTargetResult"; [2025-12-16T08:52:41.486Z] [2025-12-16T08:52:41.486Z] TEST SETUP: [2025-12-16T08:52:41.486Z] Nothing to be done for setup. [2025-12-16T08:52:41.486Z] [2025-12-16T08:52:41.486Z] TESTING: [2025-12-16T08:52:41.486Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-16T08:52:41.486Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17658746668667/renaissance-movie-lens_0/launcher-035241-16468876963688878649/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-16T08:52:41.486Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-16T08:52:41.486Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-16T08:52:44.919Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-16T08:52:46.772Z] 03:52:46.509 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-16T08:52:47.663Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-16T08:52:47.663Z] Training: 60056, validation: 20285, test: 19854 [2025-12-16T08:52:47.663Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-16T08:52:47.663Z] GC before operation: completed in 49.826 ms, heap usage 216.174 MB -> 75.971 MB. [2025-12-16T08:52:50.379Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:52:51.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:52:53.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:52:54.064Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:52:54.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:52:55.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:52:56.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:52:57.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:52:57.347Z] 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. [2025-12-16T08:52:57.347Z] The best model improves the baseline by 14.52%. [2025-12-16T08:52:57.347Z] Top recommended movies for user id 72: [2025-12-16T08:52:57.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:52:57.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:52:57.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:52:57.347Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:52:57.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:52:57.347Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9565.262 ms) ====== [2025-12-16T08:52:57.347Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-16T08:52:57.347Z] GC before operation: completed in 55.593 ms, heap usage 754.813 MB -> 93.240 MB. [2025-12-16T08:52:58.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:52:59.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:01.498Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:02.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:03.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:03.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:04.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:05.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:05.664Z] 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. [2025-12-16T08:53:05.664Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:05.664Z] Top recommended movies for user id 72: [2025-12-16T08:53:05.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:05.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:05.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:05.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:05.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:05.664Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8173.429 ms) ====== [2025-12-16T08:53:05.664Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-16T08:53:05.664Z] GC before operation: completed in 47.763 ms, heap usage 207.586 MB -> 88.693 MB. [2025-12-16T08:53:07.619Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:09.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:10.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:11.800Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:12.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:13.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:14.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:15.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:15.420Z] 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. [2025-12-16T08:53:15.420Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:15.420Z] Top recommended movies for user id 72: [2025-12-16T08:53:15.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:15.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:15.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:15.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:15.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:15.420Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9760.155 ms) ====== [2025-12-16T08:53:15.420Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-16T08:53:15.420Z] GC before operation: completed in 48.521 ms, heap usage 306.393 MB -> 89.503 MB. [2025-12-16T08:53:17.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:18.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:20.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:21.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:22.617Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:22.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:23.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:24.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:24.578Z] 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. [2025-12-16T08:53:24.578Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:24.578Z] Top recommended movies for user id 72: [2025-12-16T08:53:24.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:24.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:24.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:24.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:24.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:24.578Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9291.195 ms) ====== [2025-12-16T08:53:24.578Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-16T08:53:24.962Z] GC before operation: completed in 50.471 ms, heap usage 209.891 MB -> 89.596 MB. [2025-12-16T08:53:26.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:27.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:30.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:30.066Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:30.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:30.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:31.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:32.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:32.439Z] 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. [2025-12-16T08:53:32.439Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:32.439Z] Top recommended movies for user id 72: [2025-12-16T08:53:32.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:32.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:32.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:32.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:32.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:32.439Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7811.258 ms) ====== [2025-12-16T08:53:32.439Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-16T08:53:32.797Z] GC before operation: completed in 46.088 ms, heap usage 360.669 MB -> 89.791 MB. [2025-12-16T08:53:34.064Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:35.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:36.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:37.541Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:38.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:39.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:40.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:40.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:41.232Z] 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. [2025-12-16T08:53:41.232Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:41.232Z] Top recommended movies for user id 72: [2025-12-16T08:53:41.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:41.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:41.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:41.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:41.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:41.232Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8495.960 ms) ====== [2025-12-16T08:53:41.232Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-16T08:53:41.232Z] GC before operation: completed in 53.195 ms, heap usage 329.192 MB -> 89.976 MB. [2025-12-16T08:53:42.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:43.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:45.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:46.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:47.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:47.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:48.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:49.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:49.089Z] 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. [2025-12-16T08:53:49.089Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:49.089Z] Top recommended movies for user id 72: [2025-12-16T08:53:49.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:49.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:49.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:49.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:49.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:49.089Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7926.761 ms) ====== [2025-12-16T08:53:49.089Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-16T08:53:49.089Z] GC before operation: completed in 55.411 ms, heap usage 130.502 MB -> 92.760 MB. [2025-12-16T08:53:50.385Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:53:51.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:53:52.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:53:54.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:53:54.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:53:55.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:53:56.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:53:56.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:53:56.898Z] 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. [2025-12-16T08:53:56.898Z] The best model improves the baseline by 14.52%. [2025-12-16T08:53:56.898Z] Top recommended movies for user id 72: [2025-12-16T08:53:56.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:53:56.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:53:56.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:53:56.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:53:56.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:53:56.898Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7856.905 ms) ====== [2025-12-16T08:53:56.898Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-16T08:53:57.266Z] GC before operation: completed in 77.340 ms, heap usage 655.890 MB -> 93.985 MB. [2025-12-16T08:53:59.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:00.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:02.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:03.661Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:04.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:04.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:05.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:06.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:06.820Z] 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. [2025-12-16T08:54:06.820Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:06.820Z] Top recommended movies for user id 72: [2025-12-16T08:54:06.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:06.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:06.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:06.820Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:06.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:06.820Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9659.603 ms) ====== [2025-12-16T08:54:06.820Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-16T08:54:06.820Z] GC before operation: completed in 41.936 ms, heap usage 128.127 MB -> 89.849 MB. [2025-12-16T08:54:08.120Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:09.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:11.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:12.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:13.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:13.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:14.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:15.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:15.151Z] 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. [2025-12-16T08:54:15.151Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:15.151Z] Top recommended movies for user id 72: [2025-12-16T08:54:15.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:15.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:15.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:15.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:15.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:15.151Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8424.902 ms) ====== [2025-12-16T08:54:15.151Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-16T08:54:15.151Z] GC before operation: completed in 43.563 ms, heap usage 359.348 MB -> 90.400 MB. [2025-12-16T08:54:16.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:17.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:18.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:20.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:20.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:21.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:21.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:22.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:22.355Z] 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. [2025-12-16T08:54:22.779Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:22.779Z] Top recommended movies for user id 72: [2025-12-16T08:54:22.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:22.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:22.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:22.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:22.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:22.779Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7306.363 ms) ====== [2025-12-16T08:54:22.779Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-16T08:54:22.779Z] GC before operation: completed in 43.805 ms, heap usage 426.958 MB -> 90.202 MB. [2025-12-16T08:54:24.276Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:26.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:28.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:29.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:29.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:30.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:31.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:32.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:32.463Z] 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. [2025-12-16T08:54:32.463Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:32.463Z] Top recommended movies for user id 72: [2025-12-16T08:54:32.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:32.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:32.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:32.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:32.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:32.463Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9838.842 ms) ====== [2025-12-16T08:54:32.463Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-16T08:54:32.463Z] GC before operation: completed in 45.261 ms, heap usage 157.306 MB -> 90.156 MB. [2025-12-16T08:54:33.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:35.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:36.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:38.444Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:38.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:40.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:40.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:41.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:41.785Z] 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. [2025-12-16T08:54:41.785Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:41.785Z] Top recommended movies for user id 72: [2025-12-16T08:54:41.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:41.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:41.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:41.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:41.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:41.785Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9322.289 ms) ====== [2025-12-16T08:54:41.785Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-16T08:54:41.785Z] GC before operation: completed in 58.138 ms, heap usage 601.780 MB -> 93.915 MB. [2025-12-16T08:54:43.128Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:45.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:46.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:48.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:48.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:49.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:50.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:54:51.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:54:51.204Z] 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. [2025-12-16T08:54:51.204Z] The best model improves the baseline by 14.52%. [2025-12-16T08:54:51.204Z] Top recommended movies for user id 72: [2025-12-16T08:54:51.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:54:51.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:54:51.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:54:51.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:54:51.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:54:51.204Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9432.671 ms) ====== [2025-12-16T08:54:51.204Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-16T08:54:51.651Z] GC before operation: completed in 63.145 ms, heap usage 279.775 MB -> 90.118 MB. [2025-12-16T08:54:52.726Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:54:53.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:54:55.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:54:56.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:54:57.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:54:58.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:54:58.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:00.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:00.230Z] 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. [2025-12-16T08:55:00.230Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:00.230Z] Top recommended movies for user id 72: [2025-12-16T08:55:00.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:00.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:00.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:00.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:00.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:00.230Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8730.311 ms) ====== [2025-12-16T08:55:00.230Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-16T08:55:00.230Z] GC before operation: completed in 48.888 ms, heap usage 131.315 MB -> 90.330 MB. [2025-12-16T08:55:01.460Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:55:02.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:55:04.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:55:06.120Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:55:07.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:55:08.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:55:09.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:09.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:10.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-16T08:55:10.282Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:10.282Z] Top recommended movies for user id 72: [2025-12-16T08:55:10.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:10.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:10.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:10.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:10.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:10.282Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10061.818 ms) ====== [2025-12-16T08:55:10.282Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-16T08:55:10.282Z] GC before operation: completed in 60.363 ms, heap usage 196.130 MB -> 90.152 MB. [2025-12-16T08:55:12.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:55:13.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:55:14.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:55:16.592Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:55:16.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:55:18.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:55:19.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:19.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:19.874Z] 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. [2025-12-16T08:55:19.874Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:20.338Z] Top recommended movies for user id 72: [2025-12-16T08:55:20.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:20.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:20.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:20.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:20.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:20.338Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9751.977 ms) ====== [2025-12-16T08:55:20.338Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-16T08:55:20.338Z] GC before operation: completed in 75.150 ms, heap usage 379.680 MB -> 90.553 MB. [2025-12-16T08:55:21.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:55:23.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:55:24.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:55:26.083Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:55:26.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:55:28.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:55:29.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:29.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:29.801Z] 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. [2025-12-16T08:55:29.801Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:29.801Z] Top recommended movies for user id 72: [2025-12-16T08:55:29.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:29.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:29.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:29.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:29.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:29.801Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9695.870 ms) ====== [2025-12-16T08:55:29.801Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-16T08:55:29.801Z] GC before operation: completed in 63.269 ms, heap usage 249.104 MB -> 90.153 MB. [2025-12-16T08:55:31.657Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:55:32.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:55:34.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:55:35.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:55:36.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:55:37.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:55:38.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:39.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:39.224Z] 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. [2025-12-16T08:55:39.224Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:39.224Z] Top recommended movies for user id 72: [2025-12-16T08:55:39.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:39.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:39.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:39.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:39.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:39.224Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9345.981 ms) ====== [2025-12-16T08:55:39.224Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-16T08:55:39.224Z] GC before operation: completed in 56.148 ms, heap usage 462.690 MB -> 90.610 MB. [2025-12-16T08:55:41.271Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T08:55:42.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T08:55:43.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T08:55:44.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T08:55:45.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T08:55:46.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T08:55:47.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T08:55:48.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T08:55:48.448Z] 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. [2025-12-16T08:55:48.448Z] The best model improves the baseline by 14.52%. [2025-12-16T08:55:48.448Z] Top recommended movies for user id 72: [2025-12-16T08:55:48.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T08:55:48.448Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T08:55:48.448Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T08:55:48.448Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T08:55:48.448Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T08:55:48.448Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9098.369 ms) ====== [2025-12-16T08:55:48.817Z] ----------------------------------- [2025-12-16T08:55:48.817Z] renaissance-movie-lens_0_PASSED [2025-12-16T08:55:48.817Z] ----------------------------------- [2025-12-16T08:55:48.817Z] [2025-12-16T08:55:48.817Z] TEST TEARDOWN: [2025-12-16T08:55:48.817Z] Nothing to be done for teardown. [2025-12-16T08:55:48.817Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 03:55:48 2025 Epoch Time (ms): 1765875348332