[2025-11-27T03:02:32.875Z] Running test renaissance-movie-lens_0 ... [2025-11-27T03:02:32.875Z] =============================================== [2025-11-27T03:02:32.875Z] renaissance-movie-lens_0 Start Time: Wed Nov 26 21:02:31 2025 Epoch Time (ms): 1764212551949 [2025-11-27T03:02:32.875Z] variation: NoOptions [2025-11-27T03:02:32.875Z] JVM_OPTIONS: [2025-11-27T03:02:32.875Z] { \ [2025-11-27T03:02:32.875Z] echo ""; echo "TEST SETUP:"; \ [2025-11-27T03:02:32.875Z] echo "Nothing to be done for setup."; \ [2025-11-27T03:02:32.875Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17642099417789/renaissance-movie-lens_0"; \ [2025-11-27T03:02:32.875Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17642099417789/renaissance-movie-lens_0"; \ [2025-11-27T03:02:32.875Z] echo ""; echo "TESTING:"; \ [2025-11-27T03:02:32.875Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17642099417789/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-27T03:02:32.875Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17642099417789/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-27T03:02:32.875Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-27T03:02:32.875Z] echo "Nothing to be done for teardown."; \ [2025-11-27T03:02:32.875Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17642099417789/TestTargetResult"; [2025-11-27T03:02:32.875Z] [2025-11-27T03:02:32.875Z] TEST SETUP: [2025-11-27T03:02:32.875Z] Nothing to be done for setup. [2025-11-27T03:02:32.875Z] [2025-11-27T03:02:32.875Z] TESTING: [2025-11-27T03:02:37.847Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-27T03:02:45.193Z] 21:02:44.631 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-27T03:02:47.393Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-27T03:02:48.083Z] Training: 60056, validation: 20285, test: 19854 [2025-11-27T03:02:48.083Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-27T03:02:48.778Z] GC before operation: completed in 202.262 ms, heap usage 250.694 MB -> 75.638 MB. [2025-11-27T03:02:56.212Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:03:00.198Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:03:05.069Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:03:09.034Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:03:11.176Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:03:13.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:03:15.817Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:03:18.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:03:18.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:03:18.815Z] The best model improves the baseline by 14.34%. [2025-11-27T03:03:18.815Z] Top recommended movies for user id 72: [2025-11-27T03:03:18.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:03:18.815Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:03:18.815Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:03:18.815Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:03:18.815Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:03:18.815Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30617.726 ms) ====== [2025-11-27T03:03:18.815Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-27T03:03:19.503Z] GC before operation: completed in 174.836 ms, heap usage 236.477 MB -> 91.082 MB. [2025-11-27T03:03:23.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:03:27.520Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:03:31.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:03:36.513Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:03:38.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:03:41.859Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:03:44.899Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:03:47.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:03:47.856Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:03:47.856Z] The best model improves the baseline by 14.34%. [2025-11-27T03:03:47.856Z] Top recommended movies for user id 72: [2025-11-27T03:03:47.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:03:47.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:03:47.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:03:47.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:03:47.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:03:47.856Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28773.167 ms) ====== [2025-11-27T03:03:47.856Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-27T03:03:48.525Z] GC before operation: completed in 320.469 ms, heap usage 228.259 MB -> 91.422 MB. [2025-11-27T03:03:52.487Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:03:56.965Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:04:00.877Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:04:04.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:04:07.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:04:10.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:04:12.553Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:04:14.783Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:04:15.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:04:15.490Z] The best model improves the baseline by 14.34%. [2025-11-27T03:04:15.490Z] Top recommended movies for user id 72: [2025-11-27T03:04:15.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:04:15.490Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:04:15.490Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:04:15.490Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:04:15.490Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:04:15.490Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27405.918 ms) ====== [2025-11-27T03:04:15.490Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-27T03:04:16.126Z] GC before operation: completed in 155.812 ms, heap usage 397.341 MB -> 90.995 MB. [2025-11-27T03:04:20.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:04:25.186Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:04:29.251Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:04:34.223Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:04:37.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:04:39.828Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:04:42.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:04:44.270Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:04:44.270Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:04:44.270Z] The best model improves the baseline by 14.34%. [2025-11-27T03:04:44.947Z] Top recommended movies for user id 72: [2025-11-27T03:04:44.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:04:44.947Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:04:44.947Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:04:44.947Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:04:44.947Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:04:44.947Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28731.368 ms) ====== [2025-11-27T03:04:44.947Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-27T03:04:44.947Z] GC before operation: completed in 175.078 ms, heap usage 309.087 MB -> 88.945 MB. [2025-11-27T03:04:48.873Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:04:52.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:04:56.713Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:05:00.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:05:03.732Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:05:05.952Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:05:09.083Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:05:12.213Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:05:12.882Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:05:12.882Z] The best model improves the baseline by 14.34%. [2025-11-27T03:05:12.882Z] Top recommended movies for user id 72: [2025-11-27T03:05:12.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:05:12.882Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:05:12.882Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:05:12.882Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:05:12.882Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:05:12.882Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28002.505 ms) ====== [2025-11-27T03:05:12.882Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-27T03:05:12.882Z] GC before operation: completed in 335.326 ms, heap usage 141.768 MB -> 88.790 MB. [2025-11-27T03:05:16.954Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:05:22.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:05:25.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:05:29.614Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:05:31.684Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:05:33.846Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:05:36.875Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:05:39.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:05:39.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:05:39.918Z] The best model improves the baseline by 14.34%. [2025-11-27T03:05:39.918Z] Top recommended movies for user id 72: [2025-11-27T03:05:39.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:05:39.918Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:05:39.918Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:05:39.918Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:05:39.918Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:05:39.918Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26855.237 ms) ====== [2025-11-27T03:05:39.918Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-27T03:05:39.918Z] GC before operation: completed in 180.891 ms, heap usage 229.722 MB -> 89.126 MB. [2025-11-27T03:05:43.822Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:05:47.783Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:05:51.884Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:05:55.875Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:05:58.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:06:01.165Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:06:03.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:06:05.986Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:06:05.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:06:05.986Z] The best model improves the baseline by 14.34%. [2025-11-27T03:06:06.693Z] Top recommended movies for user id 72: [2025-11-27T03:06:06.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:06:06.693Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:06:06.693Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:06:06.693Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:06:06.693Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:06:06.693Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26192.256 ms) ====== [2025-11-27T03:06:06.693Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-27T03:06:06.693Z] GC before operation: completed in 212.527 ms, heap usage 221.561 MB -> 91.228 MB. [2025-11-27T03:06:10.630Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:06:13.704Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:06:17.641Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:06:21.567Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:06:23.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:06:25.794Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:06:27.235Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:06:29.426Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:06:30.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:06:30.113Z] The best model improves the baseline by 14.34%. [2025-11-27T03:06:30.113Z] Top recommended movies for user id 72: [2025-11-27T03:06:30.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:06:30.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:06:30.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:06:30.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:06:30.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:06:30.113Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23717.241 ms) ====== [2025-11-27T03:06:30.113Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-27T03:06:30.778Z] GC before operation: completed in 214.359 ms, heap usage 246.072 MB -> 89.335 MB. [2025-11-27T03:06:34.827Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:06:38.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:06:44.313Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:06:47.377Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:06:50.374Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:06:52.601Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:06:54.853Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:06:57.033Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:06:57.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:06:57.688Z] The best model improves the baseline by 14.34%. [2025-11-27T03:06:57.688Z] Top recommended movies for user id 72: [2025-11-27T03:06:57.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:06:57.688Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:06:57.688Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:06:57.688Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:06:57.688Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:06:57.688Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27395.798 ms) ====== [2025-11-27T03:06:57.688Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-27T03:06:58.331Z] GC before operation: completed in 205.627 ms, heap usage 166.773 MB -> 91.337 MB. [2025-11-27T03:07:01.369Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:07:05.344Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:07:10.323Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:07:14.323Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:07:16.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:07:18.747Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:07:20.914Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:07:23.923Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:07:23.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:07:23.923Z] The best model improves the baseline by 14.34%. [2025-11-27T03:07:23.923Z] Top recommended movies for user id 72: [2025-11-27T03:07:23.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:07:23.923Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:07:23.923Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:07:23.923Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:07:23.923Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:07:23.923Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25819.701 ms) ====== [2025-11-27T03:07:23.923Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-27T03:07:23.923Z] GC before operation: completed in 169.170 ms, heap usage 252.134 MB -> 89.446 MB. [2025-11-27T03:07:27.479Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:07:31.469Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:07:34.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:07:37.474Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:07:39.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:07:41.896Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:07:43.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:07:46.205Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:07:46.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:07:46.870Z] The best model improves the baseline by 14.34%. [2025-11-27T03:07:46.870Z] Top recommended movies for user id 72: [2025-11-27T03:07:46.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:07:46.870Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:07:46.870Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:07:46.870Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:07:46.870Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:07:46.870Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22683.540 ms) ====== [2025-11-27T03:07:46.870Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-27T03:07:46.870Z] GC before operation: completed in 197.660 ms, heap usage 246.515 MB -> 89.218 MB. [2025-11-27T03:07:49.905Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:07:53.966Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:07:56.986Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:08:00.964Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:08:03.170Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:08:05.750Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:08:08.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:08:11.160Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:08:11.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:08:11.851Z] The best model improves the baseline by 14.34%. [2025-11-27T03:08:12.540Z] Top recommended movies for user id 72: [2025-11-27T03:08:12.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:08:12.540Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:08:12.540Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:08:12.540Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:08:12.540Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:08:12.540Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25154.907 ms) ====== [2025-11-27T03:08:12.540Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-27T03:08:12.540Z] GC before operation: completed in 243.196 ms, heap usage 209.930 MB -> 91.624 MB. [2025-11-27T03:08:16.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:08:19.473Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:08:23.455Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:08:26.498Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:08:28.673Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:08:30.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:08:33.232Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:08:36.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:08:36.285Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:08:36.285Z] The best model improves the baseline by 14.34%. [2025-11-27T03:08:36.985Z] Top recommended movies for user id 72: [2025-11-27T03:08:36.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:08:36.985Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:08:36.985Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:08:36.985Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:08:36.985Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:08:36.985Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24317.129 ms) ====== [2025-11-27T03:08:36.985Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-27T03:08:36.985Z] GC before operation: completed in 214.015 ms, heap usage 235.340 MB -> 89.487 MB. [2025-11-27T03:08:40.036Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:08:43.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:08:49.541Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:08:52.635Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:08:55.784Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:08:58.063Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:09:01.064Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:09:03.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:09:03.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:09:03.887Z] The best model improves the baseline by 14.34%. [2025-11-27T03:09:03.887Z] Top recommended movies for user id 72: [2025-11-27T03:09:03.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:09:03.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:09:03.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:09:03.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:09:03.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:09:03.887Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27032.932 ms) ====== [2025-11-27T03:09:03.887Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-27T03:09:03.887Z] GC before operation: completed in 189.512 ms, heap usage 135.338 MB -> 92.299 MB. [2025-11-27T03:09:07.930Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:09:10.839Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:09:14.777Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:09:17.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:09:20.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:09:21.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:09:23.646Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:09:26.682Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:09:26.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:09:26.682Z] The best model improves the baseline by 14.34%. [2025-11-27T03:09:26.682Z] Top recommended movies for user id 72: [2025-11-27T03:09:26.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:09:26.682Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:09:26.682Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:09:26.682Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:09:26.682Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:09:26.682Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22638.200 ms) ====== [2025-11-27T03:09:26.682Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-27T03:09:27.371Z] GC before operation: completed in 268.324 ms, heap usage 412.007 MB -> 89.857 MB. [2025-11-27T03:09:30.853Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:09:33.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:09:37.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:09:40.815Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:09:42.985Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:09:45.233Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:09:48.207Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:09:49.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:09:50.386Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:09:50.386Z] The best model improves the baseline by 14.34%. [2025-11-27T03:09:50.386Z] Top recommended movies for user id 72: [2025-11-27T03:09:50.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:09:50.386Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:09:50.386Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:09:50.386Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:09:50.386Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:09:50.386Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23314.304 ms) ====== [2025-11-27T03:09:50.386Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-27T03:09:50.386Z] GC before operation: completed in 316.062 ms, heap usage 308.800 MB -> 89.597 MB. [2025-11-27T03:09:54.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:09:58.255Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:10:02.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:10:05.350Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:10:06.701Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:10:08.944Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:10:11.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:10:12.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:10:13.678Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:10:13.678Z] The best model improves the baseline by 14.34%. [2025-11-27T03:10:14.418Z] Top recommended movies for user id 72: [2025-11-27T03:10:14.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:10:14.418Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:10:14.418Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:10:14.418Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:10:14.418Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:10:14.418Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23450.561 ms) ====== [2025-11-27T03:10:14.418Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-27T03:10:14.418Z] GC before operation: completed in 226.482 ms, heap usage 358.197 MB -> 89.751 MB. [2025-11-27T03:10:18.403Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:10:22.343Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:10:26.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:10:29.370Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:10:31.533Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:10:34.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:10:36.744Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:10:38.890Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:10:38.890Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:10:39.573Z] The best model improves the baseline by 14.34%. [2025-11-27T03:10:39.573Z] Top recommended movies for user id 72: [2025-11-27T03:10:39.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:10:39.573Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:10:39.573Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:10:39.573Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:10:39.573Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:10:39.573Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25025.247 ms) ====== [2025-11-27T03:10:39.573Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-27T03:10:39.573Z] GC before operation: completed in 197.316 ms, heap usage 215.156 MB -> 89.291 MB. [2025-11-27T03:10:42.535Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:10:46.500Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:10:51.663Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:10:55.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:10:58.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:11:00.444Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:11:02.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:11:05.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:11:06.364Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:11:06.364Z] The best model improves the baseline by 14.34%. [2025-11-27T03:11:06.364Z] Top recommended movies for user id 72: [2025-11-27T03:11:06.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:11:06.364Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:11:06.364Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:11:06.364Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:11:06.364Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:11:06.364Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26908.015 ms) ====== [2025-11-27T03:11:06.364Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-27T03:11:07.054Z] GC before operation: completed in 228.257 ms, heap usage 178.714 MB -> 89.371 MB. [2025-11-27T03:11:10.008Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-27T03:11:13.951Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-27T03:11:19.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-27T03:11:23.009Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-27T03:11:24.338Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-27T03:11:27.381Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-27T03:11:30.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-27T03:11:33.717Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-27T03:11:33.717Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-27T03:11:33.717Z] The best model improves the baseline by 14.34%. [2025-11-27T03:11:34.453Z] Top recommended movies for user id 72: [2025-11-27T03:11:34.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-27T03:11:34.453Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-27T03:11:34.453Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-27T03:11:34.453Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-27T03:11:34.453Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-27T03:11:34.453Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27461.265 ms) ====== [2025-11-27T03:11:35.137Z] ----------------------------------- [2025-11-27T03:11:35.137Z] renaissance-movie-lens_0_PASSED [2025-11-27T03:11:35.137Z] ----------------------------------- [2025-11-27T03:11:35.137Z] [2025-11-27T03:11:35.137Z] TEST TEARDOWN: [2025-11-27T03:11:35.137Z] Nothing to be done for teardown. [2025-11-27T03:11:35.137Z] renaissance-movie-lens_0 Finish Time: Wed Nov 26 21:11:34 2025 Epoch Time (ms): 1764213094580