[2025-10-22T18:48:04.622Z] Running test renaissance-movie-lens_0 ... [2025-10-22T18:48:04.622Z] =============================================== [2025-10-22T18:48:04.622Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 18:48:03 2025 Epoch Time (ms): 1761158883561 [2025-10-22T18:48:04.622Z] variation: NoOptions [2025-10-22T18:48:04.622Z] JVM_OPTIONS: [2025-10-22T18:48:04.622Z] { \ [2025-10-22T18:48:04.622Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T18:48:04.622Z] echo "Nothing to be done for setup."; \ [2025-10-22T18:48:04.622Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17611570878187/renaissance-movie-lens_0"; \ [2025-10-22T18:48:04.622Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17611570878187/renaissance-movie-lens_0"; \ [2025-10-22T18:48:04.622Z] echo ""; echo "TESTING:"; \ [2025-10-22T18:48:04.622Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17611570878187/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-22T18:48:04.622Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17611570878187/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T18:48:04.622Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T18:48:04.623Z] echo "Nothing to be done for teardown."; \ [2025-10-22T18:48:04.623Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17611570878187/TestTargetResult"; [2025-10-22T18:48:04.623Z] [2025-10-22T18:48:04.623Z] TEST SETUP: [2025-10-22T18:48:04.623Z] Nothing to be done for setup. [2025-10-22T18:48:04.623Z] [2025-10-22T18:48:04.623Z] TESTING: [2025-10-22T18:48:04.623Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-22T18:48:04.623Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17611570878187/renaissance-movie-lens_0/launcher-184803-9145482528862837611/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-22T18:48:04.623Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-22T18:48:04.623Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-22T18:48:11.473Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-22T18:48:20.980Z] 18:48:20.651 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. [2025-10-22T18:48:24.368Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T18:48:24.777Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T18:48:24.777Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T18:48:24.777Z] GC before operation: completed in 126.297 ms, heap usage 240.300 MB -> 75.715 MB. [2025-10-22T18:48:32.623Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:48:38.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:48:46.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:48:46.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:48:48.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:48:50.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:48:56.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:48:56.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:48:56.509Z] 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. [2025-10-22T18:48:56.509Z] The best model improves the baseline by 14.52%. [2025-10-22T18:48:56.509Z] Top recommended movies for user id 72: [2025-10-22T18:48:56.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:48:56.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:48:56.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:48:56.509Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:48:56.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:48:56.509Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30787.563 ms) ====== [2025-10-22T18:48:56.509Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T18:48:56.509Z] GC before operation: completed in 157.344 ms, heap usage 239.173 MB -> 96.230 MB. [2025-10-22T18:48:59.082Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:49:50.380Z] 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. [2025-10-22T18:49:50.380Z] The best model improves the baseline by 14.52%. [2025-10-22T18:49:50.380Z] Top recommended movies for user id 72: [2025-10-22T18:49:50.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:49:50.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:49:50.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:49:50.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:49:50.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:49:50.380Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23195.158 ms) ====== [2025-10-22T18:49:50.380Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T18:49:50.380Z] GC before operation: completed in 135.243 ms, heap usage 371.277 MB -> 88.701 MB. [2025-10-22T18:49:50.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:49:50.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:49:50.380Z] 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. [2025-10-22T18:49:50.380Z] The best model improves the baseline by 14.52%. [2025-10-22T18:49:50.380Z] Top recommended movies for user id 72: [2025-10-22T18:49:50.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:49:50.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:49:50.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:49:50.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:49:50.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:49:50.380Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22448.128 ms) ====== [2025-10-22T18:49:50.380Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T18:49:50.380Z] GC before operation: completed in 148.893 ms, heap usage 404.223 MB -> 89.409 MB. [2025-10-22T18:49:50.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:49:50.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:50:02.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:50:02.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:50:02.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:50:02.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:50:02.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:50:02.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:50:02.086Z] 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. [2025-10-22T18:50:02.086Z] The best model improves the baseline by 14.52%. [2025-10-22T18:50:02.492Z] Top recommended movies for user id 72: [2025-10-22T18:50:02.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:50:02.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:50:02.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:50:02.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:50:02.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:50:02.493Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19944.683 ms) ====== [2025-10-22T18:50:02.493Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T18:50:02.493Z] GC before operation: completed in 136.051 ms, heap usage 740.663 MB -> 94.570 MB. [2025-10-22T18:50:05.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:50:08.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:50:11.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:50:16.456Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:50:16.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:50:18.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:50:20.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:50:21.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:50:22.189Z] 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. [2025-10-22T18:50:22.189Z] The best model improves the baseline by 14.52%. [2025-10-22T18:50:22.568Z] Top recommended movies for user id 72: [2025-10-22T18:50:22.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:50:22.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:50:22.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:50:22.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:50:22.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:50:22.568Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20712.928 ms) ====== [2025-10-22T18:50:22.568Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T18:50:22.568Z] GC before operation: completed in 129.932 ms, heap usage 378.142 MB -> 89.602 MB. [2025-10-22T18:50:25.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:50:29.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:50:35.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:50:36.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:50:37.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:50:41.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:50:41.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:50:43.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:50:43.203Z] 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. [2025-10-22T18:50:43.203Z] The best model improves the baseline by 14.52%. [2025-10-22T18:50:43.581Z] Top recommended movies for user id 72: [2025-10-22T18:50:43.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:50:43.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:50:43.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:50:43.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:50:43.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:50:43.581Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21018.235 ms) ====== [2025-10-22T18:50:43.581Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T18:50:43.581Z] GC before operation: completed in 133.435 ms, heap usage 148.227 MB -> 89.553 MB. [2025-10-22T18:50:47.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:50:50.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:50:53.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:50:56.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:50:57.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:50:59.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:51:04.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:51:04.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:51:04.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-22T18:51:04.412Z] The best model improves the baseline by 14.52%. [2025-10-22T18:51:04.412Z] Top recommended movies for user id 72: [2025-10-22T18:51:04.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:51:04.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:51:04.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:51:04.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:51:04.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:51:04.412Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20489.069 ms) ====== [2025-10-22T18:51:04.413Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T18:51:04.413Z] GC before operation: completed in 129.383 ms, heap usage 402.152 MB -> 89.845 MB. [2025-10-22T18:51:07.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:51:10.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:51:13.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:51:16.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:51:18.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:51:20.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:51:22.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:51:23.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:51:24.014Z] 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. [2025-10-22T18:51:24.385Z] The best model improves the baseline by 14.52%. [2025-10-22T18:51:24.385Z] Top recommended movies for user id 72: [2025-10-22T18:51:24.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:51:24.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:51:24.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:51:24.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:51:24.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:51:24.385Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20109.494 ms) ====== [2025-10-22T18:51:24.385Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T18:51:24.753Z] GC before operation: completed in 132.096 ms, heap usage 150.287 MB -> 89.697 MB. [2025-10-22T18:51:27.941Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:51:30.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:51:34.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:51:36.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:51:38.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:51:40.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:51:42.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:51:43.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:51:44.253Z] 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. [2025-10-22T18:51:44.253Z] The best model improves the baseline by 14.52%. [2025-10-22T18:51:44.624Z] Top recommended movies for user id 72: [2025-10-22T18:51:44.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:51:44.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:51:44.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:51:44.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:51:44.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:51:44.624Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20106.672 ms) ====== [2025-10-22T18:51:44.624Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T18:51:44.624Z] GC before operation: completed in 129.559 ms, heap usage 150.264 MB -> 89.625 MB. [2025-10-22T18:51:47.834Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:51:50.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:51:53.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:51:56.191Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:51:57.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:51:59.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:52:01.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:52:03.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:52:03.387Z] 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. [2025-10-22T18:52:03.387Z] The best model improves the baseline by 14.52%. [2025-10-22T18:52:03.387Z] Top recommended movies for user id 72: [2025-10-22T18:52:03.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:52:03.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:52:03.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:52:03.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:52:03.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:52:03.387Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18747.133 ms) ====== [2025-10-22T18:52:03.387Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T18:52:03.752Z] GC before operation: completed in 132.606 ms, heap usage 190.154 MB -> 91.799 MB. [2025-10-22T18:52:06.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:52:10.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:52:12.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:52:15.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:52:17.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:52:22.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:52:22.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:52:23.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:52:23.600Z] 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. [2025-10-22T18:52:23.600Z] The best model improves the baseline by 14.52%. [2025-10-22T18:52:23.978Z] Top recommended movies for user id 72: [2025-10-22T18:52:23.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:52:23.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:52:23.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:52:23.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:52:23.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:52:23.978Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20325.067 ms) ====== [2025-10-22T18:52:23.978Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T18:52:23.978Z] GC before operation: completed in 128.073 ms, heap usage 178.404 MB -> 89.644 MB. [2025-10-22T18:52:27.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:52:30.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:52:32.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:52:36.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:52:37.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:52:39.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:52:41.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:52:43.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:52:43.657Z] 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. [2025-10-22T18:52:43.657Z] The best model improves the baseline by 14.52%. [2025-10-22T18:52:43.657Z] Top recommended movies for user id 72: [2025-10-22T18:52:43.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:52:43.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:52:43.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:52:43.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:52:43.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:52:43.657Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19564.377 ms) ====== [2025-10-22T18:52:43.657Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T18:52:44.027Z] GC before operation: completed in 135.843 ms, heap usage 567.316 MB -> 93.572 MB. [2025-10-22T18:52:47.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:52:50.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:52:52.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:52:55.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:52:56.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:52:58.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:53:00.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:53:02.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:53:02.817Z] 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. [2025-10-22T18:53:02.817Z] The best model improves the baseline by 14.52%. [2025-10-22T18:53:02.817Z] Top recommended movies for user id 72: [2025-10-22T18:53:02.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:53:02.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:53:02.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:53:02.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:53:02.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:53:02.817Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19143.224 ms) ====== [2025-10-22T18:53:02.817Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T18:53:03.194Z] GC before operation: completed in 138.011 ms, heap usage 448.439 MB -> 90.380 MB. [2025-10-22T18:53:06.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:53:09.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:53:12.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:53:14.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:53:17.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:53:18.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:53:20.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:53:22.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:53:22.986Z] 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. [2025-10-22T18:53:22.986Z] The best model improves the baseline by 14.52%. [2025-10-22T18:53:22.986Z] Top recommended movies for user id 72: [2025-10-22T18:53:22.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:53:22.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:53:22.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:53:22.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:53:22.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:53:22.986Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19986.500 ms) ====== [2025-10-22T18:53:22.986Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T18:53:23.362Z] GC before operation: completed in 127.658 ms, heap usage 165.011 MB -> 89.865 MB. [2025-10-22T18:53:26.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:53:29.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:53:32.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:53:35.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:53:36.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:53:38.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:53:40.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:53:42.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:53:42.917Z] 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. [2025-10-22T18:53:42.917Z] The best model improves the baseline by 14.52%. [2025-10-22T18:53:42.917Z] Top recommended movies for user id 72: [2025-10-22T18:53:42.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:53:42.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:53:42.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:53:42.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:53:42.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:53:42.917Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19830.522 ms) ====== [2025-10-22T18:53:42.917Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T18:53:43.279Z] GC before operation: completed in 126.580 ms, heap usage 162.085 MB -> 90.020 MB. [2025-10-22T18:53:46.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:53:48.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:53:52.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:53:55.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:53:57.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:53:58.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:54:00.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:54:02.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:54:02.350Z] 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. [2025-10-22T18:54:02.350Z] The best model improves the baseline by 14.52%. [2025-10-22T18:54:02.713Z] Top recommended movies for user id 72: [2025-10-22T18:54:02.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:54:02.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:54:02.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:54:02.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:54:02.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:54:02.714Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19511.496 ms) ====== [2025-10-22T18:54:02.714Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T18:54:02.714Z] GC before operation: completed in 127.618 ms, heap usage 213.942 MB -> 89.900 MB. [2025-10-22T18:54:05.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:54:08.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:54:11.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:54:14.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:54:16.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:54:18.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:54:19.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:54:21.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:54:21.796Z] 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. [2025-10-22T18:54:21.796Z] The best model improves the baseline by 14.52%. [2025-10-22T18:54:22.203Z] Top recommended movies for user id 72: [2025-10-22T18:54:22.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:54:22.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:54:22.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:54:22.203Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:54:22.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:54:22.203Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19243.515 ms) ====== [2025-10-22T18:54:22.203Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T18:54:22.203Z] GC before operation: completed in 126.969 ms, heap usage 371.956 MB -> 90.281 MB. [2025-10-22T18:54:25.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:54:27.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:54:31.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:54:33.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:54:34.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:54:36.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:54:38.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:54:39.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:54:39.917Z] 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. [2025-10-22T18:54:40.289Z] The best model improves the baseline by 14.52%. [2025-10-22T18:54:40.289Z] Top recommended movies for user id 72: [2025-10-22T18:54:40.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:54:40.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:54:40.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:54:40.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:54:40.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:54:40.289Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18144.619 ms) ====== [2025-10-22T18:54:40.289Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T18:54:40.651Z] GC before operation: completed in 135.704 ms, heap usage 701.614 MB -> 93.697 MB. [2025-10-22T18:54:43.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:54:46.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:54:49.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:54:52.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:54:53.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:54:57.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:54:57.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:54:59.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:54:59.703Z] 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. [2025-10-22T18:54:59.703Z] The best model improves the baseline by 14.52%. [2025-10-22T18:55:00.065Z] Top recommended movies for user id 72: [2025-10-22T18:55:00.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:55:00.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:55:00.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:55:00.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:55:00.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:55:00.065Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19554.065 ms) ====== [2025-10-22T18:55:00.065Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T18:55:00.065Z] GC before operation: completed in 134.675 ms, heap usage 155.202 MB -> 91.189 MB. [2025-10-22T18:55:03.297Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:55:05.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:55:09.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:55:11.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:55:13.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:55:15.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:55:17.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:55:18.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:55:19.322Z] 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. [2025-10-22T18:55:19.322Z] The best model improves the baseline by 14.52%. [2025-10-22T18:55:19.684Z] Top recommended movies for user id 72: [2025-10-22T18:55:19.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-22T18:55:19.684Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-22T18:55:19.684Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-22T18:55:19.684Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-22T18:55:19.684Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-22T18:55:19.684Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19468.677 ms) ====== [2025-10-22T18:55:20.580Z] ----------------------------------- [2025-10-22T18:55:20.580Z] renaissance-movie-lens_0_PASSED [2025-10-22T18:55:20.580Z] ----------------------------------- [2025-10-22T18:55:20.580Z] [2025-10-22T18:55:20.580Z] TEST TEARDOWN: [2025-10-22T18:55:20.580Z] Nothing to be done for teardown. [2025-10-22T18:55:20.580Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 18:55:20 2025 Epoch Time (ms): 1761159320128