[2025-11-20T02:10:35.318Z] Running test renaissance-movie-lens_0 ... [2025-11-20T02:10:35.318Z] =============================================== [2025-11-20T02:10:35.318Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 02:10:35 2025 Epoch Time (ms): 1763604635165 [2025-11-20T02:10:35.318Z] variation: NoOptions [2025-11-20T02:10:35.318Z] JVM_OPTIONS: [2025-11-20T02:10:35.318Z] { \ [2025-11-20T02:10:35.318Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T02:10:35.318Z] echo "Nothing to be done for setup."; \ [2025-11-20T02:10:35.318Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17636025014975/renaissance-movie-lens_0"; \ [2025-11-20T02:10:35.318Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17636025014975/renaissance-movie-lens_0"; \ [2025-11-20T02:10:35.318Z] echo ""; echo "TESTING:"; \ [2025-11-20T02:10:35.318Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17636025014975/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-20T02:10:35.318Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17636025014975/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T02:10:35.318Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T02:10:35.318Z] echo "Nothing to be done for teardown."; \ [2025-11-20T02:10:35.318Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17636025014975/TestTargetResult"; [2025-11-20T02:10:35.318Z] [2025-11-20T02:10:35.318Z] TEST SETUP: [2025-11-20T02:10:35.318Z] Nothing to be done for setup. [2025-11-20T02:10:35.318Z] [2025-11-20T02:10:35.318Z] TESTING: [2025-11-20T02:10:42.984Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-20T02:10:52.442Z] 02:10:52.415 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. [2025-11-20T02:10:55.988Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T02:10:56.814Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T02:10:56.814Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T02:10:57.229Z] GC before operation: completed in 161.473 ms, heap usage 231.614 MB -> 75.546 MB. [2025-11-20T02:11:08.816Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:11:13.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:11:19.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:11:23.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:11:25.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:11:27.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:11:30.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:11:32.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:11:32.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T02:11:32.463Z] The best model improves the baseline by 14.52%. [2025-11-20T02:11:32.837Z] Top recommended movies for user id 72: [2025-11-20T02:11:32.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:11:32.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:11:32.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:11:32.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:11:32.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:11:32.838Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35910.626 ms) ====== [2025-11-20T02:11:32.838Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T02:11:33.210Z] GC before operation: completed in 144.955 ms, heap usage 272.593 MB -> 93.187 MB. [2025-11-20T02:11:37.299Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:11:40.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:11:44.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:11:47.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:11:49.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:11:51.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:11:54.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:11:55.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:11:55.946Z] 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. [2025-11-20T02:11:56.327Z] The best model improves the baseline by 14.52%. [2025-11-20T02:11:56.327Z] Top recommended movies for user id 72: [2025-11-20T02:11:56.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:11:56.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:11:56.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:11:56.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:11:56.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:11:56.327Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23298.544 ms) ====== [2025-11-20T02:11:56.327Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T02:11:56.695Z] GC before operation: completed in 132.412 ms, heap usage 435.587 MB -> 90.876 MB. [2025-11-20T02:11:59.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:12:03.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:12:07.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:12:09.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:12:11.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:12:13.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:12:15.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:12:17.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:12:17.789Z] 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. [2025-11-20T02:12:17.789Z] The best model improves the baseline by 14.52%. [2025-11-20T02:12:17.789Z] Top recommended movies for user id 72: [2025-11-20T02:12:17.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:12:17.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:12:17.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:12:17.789Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:12:17.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:12:17.789Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21415.134 ms) ====== [2025-11-20T02:12:17.789Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T02:12:18.176Z] GC before operation: completed in 132.742 ms, heap usage 472.323 MB -> 89.347 MB. [2025-11-20T02:12:21.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:12:23.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:12:27.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:12:31.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:12:33.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:12:34.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:12:37.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:12:39.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:12:39.328Z] 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. [2025-11-20T02:12:39.328Z] The best model improves the baseline by 14.52%. [2025-11-20T02:12:39.749Z] Top recommended movies for user id 72: [2025-11-20T02:12:39.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:12:39.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:12:39.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:12:39.749Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:12:39.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:12:39.750Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21553.050 ms) ====== [2025-11-20T02:12:39.750Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T02:12:39.750Z] GC before operation: completed in 128.102 ms, heap usage 385.316 MB -> 91.760 MB. [2025-11-20T02:12:43.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:12:48.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:12:51.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:12:53.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:12:55.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:12:58.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:12:59.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:13:01.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:13:01.689Z] 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. [2025-11-20T02:13:02.059Z] The best model improves the baseline by 14.52%. [2025-11-20T02:13:02.059Z] Top recommended movies for user id 72: [2025-11-20T02:13:02.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:13:02.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:13:02.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:13:02.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:13:02.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:13:02.059Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22330.893 ms) ====== [2025-11-20T02:13:02.059Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T02:13:02.059Z] GC before operation: completed in 135.604 ms, heap usage 370.892 MB -> 89.504 MB. [2025-11-20T02:13:05.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:13:08.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:13:11.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:13:14.348Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:13:16.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:13:18.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:13:19.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:13:21.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:13:21.764Z] 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. [2025-11-20T02:13:21.764Z] The best model improves the baseline by 14.52%. [2025-11-20T02:13:22.130Z] Top recommended movies for user id 72: [2025-11-20T02:13:22.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:13:22.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:13:22.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:13:22.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:13:22.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:13:22.130Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19927.266 ms) ====== [2025-11-20T02:13:22.130Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T02:13:22.130Z] GC before operation: completed in 130.817 ms, heap usage 223.867 MB -> 89.672 MB. [2025-11-20T02:13:25.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:13:27.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:13:31.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:13:33.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:13:35.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:13:37.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:13:39.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:13:40.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:13:40.849Z] 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. [2025-11-20T02:13:40.849Z] The best model improves the baseline by 14.52%. [2025-11-20T02:13:41.239Z] Top recommended movies for user id 72: [2025-11-20T02:13:41.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:13:41.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:13:41.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:13:41.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:13:41.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:13:41.239Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18835.018 ms) ====== [2025-11-20T02:13:41.239Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T02:13:41.239Z] GC before operation: completed in 124.553 ms, heap usage 261.848 MB -> 89.739 MB. [2025-11-20T02:13:44.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:13:46.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:13:50.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:13:52.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:13:54.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:13:55.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:13:57.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:13:59.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:13:59.906Z] 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. [2025-11-20T02:13:59.906Z] The best model improves the baseline by 14.52%. [2025-11-20T02:13:59.906Z] Top recommended movies for user id 72: [2025-11-20T02:13:59.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:13:59.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:13:59.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:13:59.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:13:59.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:13:59.906Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18686.683 ms) ====== [2025-11-20T02:13:59.906Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T02:13:59.906Z] GC before operation: completed in 140.594 ms, heap usage 832.597 MB -> 96.676 MB. [2025-11-20T02:14:03.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:14:06.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:14:08.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:14:12.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:14:13.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:14:15.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:14:17.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:14:19.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:14:19.440Z] 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. [2025-11-20T02:14:19.440Z] The best model improves the baseline by 14.52%. [2025-11-20T02:14:19.805Z] Top recommended movies for user id 72: [2025-11-20T02:14:19.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:14:19.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:14:19.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:14:19.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:14:19.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:14:19.805Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19749.492 ms) ====== [2025-11-20T02:14:19.805Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T02:14:19.805Z] GC before operation: completed in 130.015 ms, heap usage 678.288 MB -> 93.654 MB. [2025-11-20T02:14:23.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:14:25.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:14:28.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:14:31.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:14:33.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:14:34.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:14:36.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:14:38.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:14:38.005Z] 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. [2025-11-20T02:14:38.378Z] The best model improves the baseline by 14.52%. [2025-11-20T02:14:38.378Z] Top recommended movies for user id 72: [2025-11-20T02:14:38.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:14:38.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:14:38.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:14:38.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:14:38.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:14:38.379Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18497.981 ms) ====== [2025-11-20T02:14:38.379Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T02:14:38.752Z] GC before operation: completed in 131.379 ms, heap usage 808.324 MB -> 94.095 MB. [2025-11-20T02:14:41.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:14:44.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:14:46.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:14:50.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:14:51.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:14:53.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:14:55.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:14:56.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:14:56.946Z] 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. [2025-11-20T02:14:56.946Z] The best model improves the baseline by 14.52%. [2025-11-20T02:14:57.315Z] Top recommended movies for user id 72: [2025-11-20T02:14:57.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:14:57.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:14:57.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:14:57.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:14:57.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:14:57.315Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18653.330 ms) ====== [2025-11-20T02:14:57.315Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T02:14:57.315Z] GC before operation: completed in 128.883 ms, heap usage 269.462 MB -> 89.605 MB. [2025-11-20T02:15:00.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:15:03.158Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:15:05.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:15:08.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:15:10.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:15:11.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:15:13.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:15:15.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:15:15.596Z] 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. [2025-11-20T02:15:15.596Z] The best model improves the baseline by 14.52%. [2025-11-20T02:15:15.596Z] Top recommended movies for user id 72: [2025-11-20T02:15:15.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:15:15.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:15:15.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:15:15.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:15:15.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:15:15.596Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18310.154 ms) ====== [2025-11-20T02:15:15.596Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T02:15:15.965Z] GC before operation: completed in 127.410 ms, heap usage 481.690 MB -> 90.199 MB. [2025-11-20T02:15:18.417Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:15:21.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:15:24.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:15:27.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:15:28.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:15:31.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:15:32.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:15:34.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:15:34.582Z] 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. [2025-11-20T02:15:34.582Z] The best model improves the baseline by 14.52%. [2025-11-20T02:15:34.947Z] Top recommended movies for user id 72: [2025-11-20T02:15:34.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:15:34.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:15:34.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:15:34.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:15:34.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:15:34.947Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19103.109 ms) ====== [2025-11-20T02:15:34.947Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T02:15:34.947Z] GC before operation: completed in 130.670 ms, heap usage 464.554 MB -> 90.983 MB. [2025-11-20T02:15:39.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:15:42.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:15:46.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:15:48.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:15:50.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:15:52.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:15:54.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:15:56.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:15:56.407Z] 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. [2025-11-20T02:15:56.407Z] The best model improves the baseline by 14.52%. [2025-11-20T02:15:56.786Z] Top recommended movies for user id 72: [2025-11-20T02:15:56.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:15:56.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:15:56.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:15:56.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:15:56.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:15:56.786Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21619.957 ms) ====== [2025-11-20T02:15:56.786Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T02:15:56.786Z] GC before operation: completed in 132.360 ms, heap usage 308.978 MB -> 93.406 MB. [2025-11-20T02:16:00.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:16:03.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:16:06.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:16:08.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:16:10.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:16:12.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:16:14.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:16:15.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:16:15.897Z] 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. [2025-11-20T02:16:15.897Z] The best model improves the baseline by 14.52%. [2025-11-20T02:16:16.268Z] Top recommended movies for user id 72: [2025-11-20T02:16:16.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:16:16.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:16:16.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:16:16.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:16:16.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:16:16.268Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19428.399 ms) ====== [2025-11-20T02:16:16.268Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T02:16:16.268Z] GC before operation: completed in 129.667 ms, heap usage 207.660 MB -> 93.360 MB. [2025-11-20T02:16:19.487Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:16:21.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:16:25.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:16:27.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:16:29.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:16:30.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:16:32.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:16:34.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:16:34.907Z] 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. [2025-11-20T02:16:34.907Z] The best model improves the baseline by 14.52%. [2025-11-20T02:16:34.907Z] Top recommended movies for user id 72: [2025-11-20T02:16:34.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:16:34.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:16:34.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:16:34.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:16:34.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:16:34.907Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18625.659 ms) ====== [2025-11-20T02:16:34.907Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T02:16:34.907Z] GC before operation: completed in 131.075 ms, heap usage 242.682 MB -> 89.828 MB. [2025-11-20T02:16:38.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:16:40.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:16:43.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:16:47.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:16:48.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:16:50.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:16:52.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:16:53.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:16:54.258Z] 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. [2025-11-20T02:16:54.258Z] The best model improves the baseline by 14.52%. [2025-11-20T02:16:54.258Z] Top recommended movies for user id 72: [2025-11-20T02:16:54.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:16:54.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:16:54.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:16:54.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:16:54.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:16:54.258Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19219.135 ms) ====== [2025-11-20T02:16:54.258Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T02:16:54.258Z] GC before operation: completed in 130.620 ms, heap usage 652.215 MB -> 93.941 MB. [2025-11-20T02:16:57.452Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:17:00.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:17:03.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:17:06.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:17:07.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:17:09.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:17:11.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:17:12.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:17:13.198Z] 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. [2025-11-20T02:17:13.198Z] The best model improves the baseline by 14.52%. [2025-11-20T02:17:13.565Z] Top recommended movies for user id 72: [2025-11-20T02:17:13.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:17:13.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:17:13.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:17:13.565Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:17:13.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:17:13.565Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19122.447 ms) ====== [2025-11-20T02:17:13.565Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T02:17:13.565Z] GC before operation: completed in 134.144 ms, heap usage 388.030 MB -> 92.296 MB. [2025-11-20T02:17:17.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:17:20.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:17:23.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:17:26.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:17:28.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:17:30.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:17:31.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:17:33.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:17:33.558Z] 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. [2025-11-20T02:17:33.558Z] The best model improves the baseline by 14.52%. [2025-11-20T02:17:33.558Z] Top recommended movies for user id 72: [2025-11-20T02:17:33.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:17:33.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:17:33.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:17:33.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:17:33.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:17:33.558Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20001.918 ms) ====== [2025-11-20T02:17:33.558Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T02:17:33.937Z] GC before operation: completed in 130.391 ms, heap usage 182.228 MB -> 95.374 MB. [2025-11-20T02:17:37.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T02:17:39.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T02:17:42.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T02:17:45.524Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T02:17:46.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T02:17:48.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T02:17:50.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T02:17:51.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T02:17:52.149Z] 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. [2025-11-20T02:17:52.149Z] The best model improves the baseline by 14.52%. [2025-11-20T02:17:52.514Z] Top recommended movies for user id 72: [2025-11-20T02:17:52.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T02:17:52.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T02:17:52.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T02:17:52.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T02:17:52.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T02:17:52.514Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18542.857 ms) ====== [2025-11-20T02:17:52.911Z] ----------------------------------- [2025-11-20T02:17:52.911Z] renaissance-movie-lens_0_PASSED [2025-11-20T02:17:52.911Z] ----------------------------------- [2025-11-20T02:17:52.911Z] [2025-11-20T02:17:52.911Z] TEST TEARDOWN: [2025-11-20T02:17:52.911Z] Nothing to be done for teardown. [2025-11-20T02:17:52.911Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 02:17:52 2025 Epoch Time (ms): 1763605072854