[2025-11-19T22:45:38.613Z] Running test renaissance-movie-lens_0 ... [2025-11-19T22:45:38.613Z] =============================================== [2025-11-19T22:45:38.613Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 22:45:38 2025 Epoch Time (ms): 1763592338205 [2025-11-19T22:45:38.613Z] variation: NoOptions [2025-11-19T22:45:38.613Z] JVM_OPTIONS: [2025-11-19T22:45:38.613Z] { \ [2025-11-19T22:45:38.613Z] echo ""; echo "TEST SETUP:"; \ [2025-11-19T22:45:38.613Z] echo "Nothing to be done for setup."; \ [2025-11-19T22:45:38.613Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17635907621163/renaissance-movie-lens_0"; \ [2025-11-19T22:45:38.613Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17635907621163/renaissance-movie-lens_0"; \ [2025-11-19T22:45:38.613Z] echo ""; echo "TESTING:"; \ [2025-11-19T22:45:38.613Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17635907621163/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-19T22:45:38.613Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17635907621163/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-19T22:45:38.613Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-19T22:45:38.613Z] echo "Nothing to be done for teardown."; \ [2025-11-19T22:45:38.613Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17635907621163/TestTargetResult"; [2025-11-19T22:45:38.613Z] [2025-11-19T22:45:38.613Z] TEST SETUP: [2025-11-19T22:45:38.613Z] Nothing to be done for setup. [2025-11-19T22:45:38.613Z] [2025-11-19T22:45:38.613Z] TESTING: [2025-11-19T22:46:04.041Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-19T22:46:12.255Z] 22:46:12.055 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-19T22:46:16.576Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-19T22:46:17.535Z] Training: 60056, validation: 20285, test: 19854 [2025-11-19T22:46:17.535Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-19T22:46:17.535Z] GC before operation: completed in 184.635 ms, heap usage 351.007 MB -> 76.028 MB. [2025-11-19T22:46:31.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:46:38.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:46:44.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:46:51.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:46:54.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:46:58.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:47:01.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:47:04.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:47:05.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:47:05.645Z] The best model improves the baseline by 14.52%. [2025-11-19T22:47:05.646Z] Top recommended movies for user id 72: [2025-11-19T22:47:05.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:47:05.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:47:05.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:47:05.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:47:05.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:47:05.646Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48396.247 ms) ====== [2025-11-19T22:47:05.646Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-19T22:47:06.609Z] GC before operation: completed in 317.903 ms, heap usage 400.238 MB -> 88.577 MB. [2025-11-19T22:47:10.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:47:16.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:47:21.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:47:26.013Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:47:29.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:47:32.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:47:35.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:47:37.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:47:38.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:47:38.252Z] The best model improves the baseline by 14.52%. [2025-11-19T22:47:38.252Z] Top recommended movies for user id 72: [2025-11-19T22:47:38.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:47:38.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:47:38.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:47:38.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:47:38.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:47:38.252Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32294.336 ms) ====== [2025-11-19T22:47:38.252Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-19T22:47:39.230Z] GC before operation: completed in 274.438 ms, heap usage 307.272 MB -> 88.823 MB. [2025-11-19T22:47:43.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:47:47.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:47:51.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:47:55.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:47:58.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:48:00.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:48:03.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:48:05.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:48:05.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:48:05.662Z] The best model improves the baseline by 14.52%. [2025-11-19T22:48:05.662Z] Top recommended movies for user id 72: [2025-11-19T22:48:05.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:48:05.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:48:05.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:48:05.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:48:05.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:48:05.662Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27184.338 ms) ====== [2025-11-19T22:48:05.662Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-19T22:48:06.621Z] GC before operation: completed in 181.872 ms, heap usage 542.543 MB -> 93.086 MB. [2025-11-19T22:48:10.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:48:13.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:48:18.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:48:21.204Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:48:24.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:48:26.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:48:28.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:48:30.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:48:30.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:48:30.190Z] The best model improves the baseline by 14.52%. [2025-11-19T22:48:30.190Z] Top recommended movies for user id 72: [2025-11-19T22:48:30.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:48:30.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:48:30.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:48:30.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:48:30.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:48:30.190Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24465.072 ms) ====== [2025-11-19T22:48:30.190Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-19T22:48:31.148Z] GC before operation: completed in 202.404 ms, heap usage 119.691 MB -> 89.556 MB. [2025-11-19T22:48:34.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:48:37.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:48:41.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:48:45.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:48:47.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:48:49.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:48:52.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:48:54.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:48:54.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:48:54.293Z] The best model improves the baseline by 14.52%. [2025-11-19T22:48:54.293Z] Top recommended movies for user id 72: [2025-11-19T22:48:54.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:48:54.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:48:54.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:48:54.293Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:48:54.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:48:54.294Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23724.969 ms) ====== [2025-11-19T22:48:54.294Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-19T22:48:55.251Z] GC before operation: completed in 186.136 ms, heap usage 452.702 MB -> 89.954 MB. [2025-11-19T22:48:58.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:49:01.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:49:05.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:49:08.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:49:10.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:49:12.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:49:14.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:49:16.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:49:16.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:49:16.262Z] The best model improves the baseline by 14.52%. [2025-11-19T22:49:17.213Z] Top recommended movies for user id 72: [2025-11-19T22:49:17.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:49:17.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:49:17.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:49:17.213Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:49:17.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:49:17.213Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21985.758 ms) ====== [2025-11-19T22:49:17.213Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-19T22:49:17.213Z] GC before operation: completed in 198.959 ms, heap usage 424.104 MB -> 90.267 MB. [2025-11-19T22:49:20.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:49:24.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:49:27.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:49:31.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:49:33.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:49:35.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:49:38.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:49:40.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:49:41.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:49:41.122Z] The best model improves the baseline by 14.52%. [2025-11-19T22:49:41.122Z] Top recommended movies for user id 72: [2025-11-19T22:49:41.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:49:41.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:49:41.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:49:41.122Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:49:41.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:49:41.122Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24143.810 ms) ====== [2025-11-19T22:49:41.122Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-19T22:49:41.122Z] GC before operation: completed in 232.986 ms, heap usage 545.034 MB -> 93.619 MB. [2025-11-19T22:49:45.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:49:49.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:49:52.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:49:56.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:49:58.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:50:00.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:50:03.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:50:05.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:50:05.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:50:05.573Z] The best model improves the baseline by 14.52%. [2025-11-19T22:50:05.573Z] Top recommended movies for user id 72: [2025-11-19T22:50:05.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:50:05.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:50:05.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:50:05.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:50:05.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:50:05.573Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24618.628 ms) ====== [2025-11-19T22:50:05.573Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-19T22:50:06.531Z] GC before operation: completed in 201.319 ms, heap usage 235.053 MB -> 90.153 MB. [2025-11-19T22:50:09.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:50:13.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:50:16.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:50:20.884Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:50:22.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:50:25.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:50:28.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:50:29.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:50:30.465Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:50:30.465Z] The best model improves the baseline by 14.52%. [2025-11-19T22:50:30.465Z] Top recommended movies for user id 72: [2025-11-19T22:50:30.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:50:30.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:50:30.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:50:30.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:50:30.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:50:30.465Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24277.504 ms) ====== [2025-11-19T22:50:30.465Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-19T22:50:30.465Z] GC before operation: completed in 198.024 ms, heap usage 384.814 MB -> 90.305 MB. [2025-11-19T22:50:34.744Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:50:37.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:50:41.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:50:45.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:50:47.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:50:49.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:50:51.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:50:54.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:50:54.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:50:54.036Z] The best model improves the baseline by 14.52%. [2025-11-19T22:50:54.036Z] Top recommended movies for user id 72: [2025-11-19T22:50:54.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:50:54.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:50:54.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:50:54.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:50:54.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:50:54.036Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23580.651 ms) ====== [2025-11-19T22:50:54.036Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-19T22:50:54.036Z] GC before operation: completed in 191.317 ms, heap usage 130.997 MB -> 90.074 MB. [2025-11-19T22:50:58.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:51:01.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:51:04.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:51:08.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:51:10.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:51:12.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:51:14.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:51:16.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:51:16.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:51:16.379Z] The best model improves the baseline by 14.52%. [2025-11-19T22:51:17.353Z] Top recommended movies for user id 72: [2025-11-19T22:51:17.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:51:17.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:51:17.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:51:17.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:51:17.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:51:17.353Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22473.942 ms) ====== [2025-11-19T22:51:17.353Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-19T22:51:17.353Z] GC before operation: completed in 205.444 ms, heap usage 115.165 MB -> 89.986 MB. [2025-11-19T22:51:20.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:51:24.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:51:27.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:51:30.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:51:33.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:51:35.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:51:37.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:51:39.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:51:39.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:51:39.215Z] The best model improves the baseline by 14.52%. [2025-11-19T22:51:40.177Z] Top recommended movies for user id 72: [2025-11-19T22:51:40.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:51:40.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:51:40.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:51:40.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:51:40.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:51:40.177Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22683.487 ms) ====== [2025-11-19T22:51:40.177Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-19T22:51:40.177Z] GC before operation: completed in 201.728 ms, heap usage 421.757 MB -> 90.430 MB. [2025-11-19T22:51:43.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:51:46.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:51:50.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:51:53.694Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:51:54.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:51:56.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:51:58.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:52:00.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:52:00.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:52:00.503Z] The best model improves the baseline by 14.52%. [2025-11-19T22:52:01.462Z] Top recommended movies for user id 72: [2025-11-19T22:52:01.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:52:01.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:52:01.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:52:01.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:52:01.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:52:01.462Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21125.198 ms) ====== [2025-11-19T22:52:01.462Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-19T22:52:01.462Z] GC before operation: completed in 229.119 ms, heap usage 472.452 MB -> 90.648 MB. [2025-11-19T22:52:04.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:52:07.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:52:10.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:52:14.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:52:16.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:52:18.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:52:20.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:52:22.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:52:22.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:52:22.206Z] The best model improves the baseline by 14.52%. [2025-11-19T22:52:22.206Z] Top recommended movies for user id 72: [2025-11-19T22:52:22.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:52:22.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:52:22.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:52:22.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:52:22.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:52:22.206Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20993.196 ms) ====== [2025-11-19T22:52:22.206Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-19T22:52:22.206Z] GC before operation: completed in 180.455 ms, heap usage 440.767 MB -> 90.374 MB. [2025-11-19T22:52:26.357Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:52:29.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:52:32.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:52:35.422Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:52:37.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:52:39.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:52:41.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:52:44.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:52:44.318Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:52:44.318Z] The best model improves the baseline by 14.52%. [2025-11-19T22:52:44.318Z] Top recommended movies for user id 72: [2025-11-19T22:52:44.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:52:44.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:52:44.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:52:44.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:52:44.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:52:44.318Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21788.377 ms) ====== [2025-11-19T22:52:44.318Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-19T22:52:44.318Z] GC before operation: completed in 200.004 ms, heap usage 129.594 MB -> 90.185 MB. [2025-11-19T22:52:47.396Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:52:51.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:52:54.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:52:57.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:52:59.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:53:02.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:53:04.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:53:06.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:53:07.246Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:53:07.246Z] The best model improves the baseline by 14.52%. [2025-11-19T22:53:07.246Z] Top recommended movies for user id 72: [2025-11-19T22:53:07.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:53:07.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:53:07.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:53:07.246Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:53:07.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:53:07.246Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22733.792 ms) ====== [2025-11-19T22:53:07.246Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-19T22:53:07.246Z] GC before operation: completed in 202.701 ms, heap usage 410.764 MB -> 90.381 MB. [2025-11-19T22:53:11.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:53:14.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:53:17.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:53:21.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:53:24.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:53:26.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:53:28.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:53:31.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:53:31.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:53:31.644Z] The best model improves the baseline by 14.52%. [2025-11-19T22:53:31.644Z] Top recommended movies for user id 72: [2025-11-19T22:53:31.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:53:31.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:53:31.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:53:31.644Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:53:31.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:53:31.644Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24530.130 ms) ====== [2025-11-19T22:53:31.645Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-19T22:53:32.600Z] GC before operation: completed in 242.059 ms, heap usage 247.972 MB -> 90.249 MB. [2025-11-19T22:53:35.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:53:39.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:53:42.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:53:46.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:53:48.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:53:50.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:53:52.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:53:54.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:53:54.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:53:54.556Z] The best model improves the baseline by 14.52%. [2025-11-19T22:53:55.504Z] Top recommended movies for user id 72: [2025-11-19T22:53:55.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:53:55.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:53:55.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:53:55.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:53:55.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:53:55.504Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22855.148 ms) ====== [2025-11-19T22:53:55.504Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-19T22:53:55.504Z] GC before operation: completed in 220.422 ms, heap usage 138.097 MB -> 90.527 MB. [2025-11-19T22:53:57.467Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:54:00.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:54:03.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:54:05.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:54:07.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:54:09.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:54:11.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:54:13.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:54:14.336Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:54:14.336Z] The best model improves the baseline by 14.52%. [2025-11-19T22:54:14.336Z] Top recommended movies for user id 72: [2025-11-19T22:54:14.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:54:14.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:54:14.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:54:14.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:54:14.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:54:14.336Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18969.323 ms) ====== [2025-11-19T22:54:14.336Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-19T22:54:14.336Z] GC before operation: completed in 209.007 ms, heap usage 304.083 MB -> 90.373 MB. [2025-11-19T22:54:17.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:54:20.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:54:23.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:54:25.367Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:54:28.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:54:29.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:54:31.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:54:34.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:54:34.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-19T22:54:34.340Z] The best model improves the baseline by 14.52%. [2025-11-19T22:54:34.340Z] Top recommended movies for user id 72: [2025-11-19T22:54:34.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-19T22:54:34.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-19T22:54:34.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-19T22:54:34.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-19T22:54:34.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-19T22:54:34.340Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20114.309 ms) ====== [2025-11-19T22:54:35.333Z] ----------------------------------- [2025-11-19T22:54:35.333Z] renaissance-movie-lens_0_PASSED [2025-11-19T22:54:35.333Z] ----------------------------------- [2025-11-19T22:54:35.333Z] [2025-11-19T22:54:35.333Z] TEST TEARDOWN: [2025-11-19T22:54:35.333Z] Nothing to be done for teardown. [2025-11-19T22:54:35.333Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 22:54:34 2025 Epoch Time (ms): 1763592874955