[2025-11-26T22:35:35.514Z] Running test renaissance-movie-lens_0 ... [2025-11-26T22:35:35.514Z] =============================================== [2025-11-26T22:35:35.514Z] renaissance-movie-lens_0 Start Time: Wed Nov 26 22:35:34 2025 Epoch Time (ms): 1764196534575 [2025-11-26T22:35:35.514Z] variation: NoOptions [2025-11-26T22:35:35.514Z] JVM_OPTIONS: [2025-11-26T22:35:35.514Z] { \ [2025-11-26T22:35:35.514Z] echo ""; echo "TEST SETUP:"; \ [2025-11-26T22:35:35.514Z] echo "Nothing to be done for setup."; \ [2025-11-26T22:35:35.514Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764194822349/renaissance-movie-lens_0"; \ [2025-11-26T22:35:35.514Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764194822349/renaissance-movie-lens_0"; \ [2025-11-26T22:35:35.514Z] echo ""; echo "TESTING:"; \ [2025-11-26T22:35:35.514Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764194822349/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-26T22:35:35.514Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764194822349/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-26T22:35:35.514Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-26T22:35:35.514Z] echo "Nothing to be done for teardown."; \ [2025-11-26T22:35:35.514Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764194822349/TestTargetResult"; [2025-11-26T22:35:35.514Z] [2025-11-26T22:35:35.514Z] TEST SETUP: [2025-11-26T22:35:35.514Z] Nothing to be done for setup. [2025-11-26T22:35:35.514Z] [2025-11-26T22:35:35.514Z] TESTING: [2025-11-26T22:35:41.920Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-26T22:35:49.964Z] 22:35:48.697 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-26T22:35:51.580Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-26T22:35:52.303Z] Training: 60056, validation: 20285, test: 19854 [2025-11-26T22:35:52.303Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-26T22:35:52.303Z] GC before operation: completed in 247.963 ms, heap usage 222.668 MB -> 75.841 MB. [2025-11-26T22:35:58.757Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:04.065Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:10.112Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:14.341Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:16.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:19.668Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:22.901Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:26.038Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:26.038Z] 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. [2025-11-26T22:36:26.038Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:26.713Z] Top recommended movies for user id 72: [2025-11-26T22:36:26.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:26.713Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:26.713Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:26.713Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:26.713Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:26.713Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33825.802 ms) ====== [2025-11-26T22:36:26.713Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-26T22:36:26.713Z] GC before operation: completed in 247.543 ms, heap usage 249.730 MB -> 90.578 MB. [2025-11-26T22:36:31.644Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:34.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:39.798Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:43.051Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:45.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:47.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:50.511Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:51.954Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:53.127Z] 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. [2025-11-26T22:36:53.127Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:53.127Z] Top recommended movies for user id 72: [2025-11-26T22:36:53.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:53.127Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:53.127Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:53.127Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:53.127Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:53.127Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26348.469 ms) ====== [2025-11-26T22:36:53.127Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-26T22:36:53.127Z] GC before operation: completed in 280.799 ms, heap usage 310.759 MB -> 88.125 MB. [2025-11-26T22:36:57.211Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:01.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:06.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:09.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:11.950Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:14.210Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:17.353Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:18.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:19.512Z] 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. [2025-11-26T22:37:19.512Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:19.512Z] Top recommended movies for user id 72: [2025-11-26T22:37:19.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:19.512Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:19.512Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:19.512Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:19.512Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:19.512Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26468.601 ms) ====== [2025-11-26T22:37:19.512Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-26T22:37:20.189Z] GC before operation: completed in 220.714 ms, heap usage 303.905 MB -> 88.795 MB. [2025-11-26T22:37:24.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:28.198Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:32.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:36.434Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:39.273Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:41.412Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:43.683Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:45.932Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:46.701Z] 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. [2025-11-26T22:37:46.701Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:47.423Z] Top recommended movies for user id 72: [2025-11-26T22:37:47.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:47.423Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:47.423Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:47.423Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:47.423Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:47.423Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27090.174 ms) ====== [2025-11-26T22:37:47.423Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-26T22:37:47.423Z] GC before operation: completed in 515.656 ms, heap usage 244.383 MB -> 88.886 MB. [2025-11-26T22:37:51.483Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:55.652Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:59.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:38:03.893Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:38:05.365Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:38:07.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:38:10.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:38:13.231Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:38:13.954Z] 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. [2025-11-26T22:38:13.954Z] The best model improves the baseline by 14.34%. [2025-11-26T22:38:13.954Z] Top recommended movies for user id 72: [2025-11-26T22:38:14.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:38:14.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:38:14.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:38:14.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:38:14.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:38:14.661Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26679.769 ms) ====== [2025-11-26T22:38:14.661Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-26T22:38:14.661Z] GC before operation: completed in 337.362 ms, heap usage 176.526 MB -> 88.698 MB. [2025-11-26T22:38:18.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:38:22.280Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:38:25.342Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:38:28.541Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:38:30.848Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:38:34.036Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:38:36.222Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:38:38.471Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:38:39.183Z] 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. [2025-11-26T22:38:39.183Z] The best model improves the baseline by 14.34%. [2025-11-26T22:38:39.825Z] Top recommended movies for user id 72: [2025-11-26T22:38:39.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:38:39.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:38:39.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:38:39.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:38:39.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:38:39.825Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25026.571 ms) ====== [2025-11-26T22:38:39.825Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-26T22:38:39.825Z] GC before operation: completed in 288.337 ms, heap usage 198.978 MB -> 89.137 MB. [2025-11-26T22:38:43.815Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:38:47.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:38:52.213Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:38:57.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:39:00.266Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:39:02.532Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:39:04.788Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:39:07.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:39:08.710Z] 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. [2025-11-26T22:39:08.710Z] The best model improves the baseline by 14.34%. [2025-11-26T22:39:08.710Z] Top recommended movies for user id 72: [2025-11-26T22:39:08.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:39:08.710Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:39:08.710Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:39:08.710Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:39:08.710Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:39:08.710Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28411.162 ms) ====== [2025-11-26T22:39:08.710Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-26T22:39:08.710Z] GC before operation: completed in 268.232 ms, heap usage 177.921 MB -> 89.085 MB. [2025-11-26T22:39:12.621Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:39:15.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:39:19.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:39:23.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:39:25.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:39:28.051Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:39:30.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:39:32.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:39:33.154Z] 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. [2025-11-26T22:39:33.154Z] The best model improves the baseline by 14.34%. [2025-11-26T22:39:33.154Z] Top recommended movies for user id 72: [2025-11-26T22:39:33.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:39:33.154Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:39:33.154Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:39:33.154Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:39:33.154Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:39:33.154Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24727.952 ms) ====== [2025-11-26T22:39:33.154Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-26T22:39:33.822Z] GC before operation: completed in 221.364 ms, heap usage 233.617 MB -> 89.386 MB. [2025-11-26T22:39:36.787Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:39:39.816Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:39:42.808Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:39:46.000Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:39:49.204Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:39:51.023Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:39:53.222Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:39:55.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:39:55.345Z] 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. [2025-11-26T22:39:55.345Z] The best model improves the baseline by 14.34%. [2025-11-26T22:39:56.042Z] Top recommended movies for user id 72: [2025-11-26T22:39:56.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:39:56.042Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:39:56.042Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:39:56.042Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:39:56.043Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:39:56.043Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22195.024 ms) ====== [2025-11-26T22:39:56.043Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-26T22:39:56.043Z] GC before operation: completed in 177.800 ms, heap usage 164.400 MB -> 89.197 MB. [2025-11-26T22:39:59.094Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:40:02.157Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:40:05.346Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:40:09.594Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:40:11.778Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:40:13.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:40:16.087Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:40:18.261Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:40:18.916Z] 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. [2025-11-26T22:40:18.916Z] The best model improves the baseline by 14.34%. [2025-11-26T22:40:18.916Z] Top recommended movies for user id 72: [2025-11-26T22:40:18.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:40:18.916Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:40:18.916Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:40:18.916Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:40:18.916Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:40:18.916Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22996.970 ms) ====== [2025-11-26T22:40:18.916Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-26T22:40:18.916Z] GC before operation: completed in 191.265 ms, heap usage 204.219 MB -> 89.388 MB. [2025-11-26T22:40:22.872Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:40:25.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:40:29.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:40:32.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:40:34.622Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:40:35.973Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:40:38.161Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:40:40.351Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:40:41.022Z] 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. [2025-11-26T22:40:41.022Z] The best model improves the baseline by 14.34%. [2025-11-26T22:40:41.022Z] Top recommended movies for user id 72: [2025-11-26T22:40:41.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:40:41.022Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:40:41.022Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:40:41.023Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:40:41.023Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:40:41.023Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21820.779 ms) ====== [2025-11-26T22:40:41.023Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-26T22:40:41.023Z] GC before operation: completed in 271.090 ms, heap usage 177.085 MB -> 88.985 MB. [2025-11-26T22:40:44.956Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:40:47.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:40:50.857Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:40:53.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:40:56.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:40:58.209Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:41:01.253Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:41:02.669Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:41:03.353Z] 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. [2025-11-26T22:41:03.353Z] The best model improves the baseline by 14.34%. [2025-11-26T22:41:03.353Z] Top recommended movies for user id 72: [2025-11-26T22:41:03.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:41:03.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:41:03.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:41:03.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:41:03.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:41:03.353Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22263.878 ms) ====== [2025-11-26T22:41:03.353Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-26T22:41:03.353Z] GC before operation: completed in 172.007 ms, heap usage 115.490 MB -> 89.193 MB. [2025-11-26T22:41:06.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:41:10.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:41:14.491Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:41:17.684Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:41:19.913Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:41:22.096Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:41:24.282Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:41:26.521Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:41:26.521Z] 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. [2025-11-26T22:41:26.521Z] The best model improves the baseline by 14.34%. [2025-11-26T22:41:27.204Z] Top recommended movies for user id 72: [2025-11-26T22:41:27.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:41:27.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:41:27.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:41:27.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:41:27.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:41:27.204Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23415.487 ms) ====== [2025-11-26T22:41:27.204Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-26T22:41:27.204Z] GC before operation: completed in 288.259 ms, heap usage 148.271 MB -> 89.389 MB. [2025-11-26T22:41:31.269Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:41:34.273Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:41:37.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:41:40.326Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:41:42.532Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:41:44.747Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:41:46.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:41:48.223Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:41:48.892Z] 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. [2025-11-26T22:41:48.892Z] The best model improves the baseline by 14.34%. [2025-11-26T22:41:48.892Z] Top recommended movies for user id 72: [2025-11-26T22:41:48.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:41:48.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:41:48.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:41:48.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:41:48.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:41:48.892Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21645.805 ms) ====== [2025-11-26T22:41:48.892Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-26T22:41:48.892Z] GC before operation: completed in 220.287 ms, heap usage 393.633 MB -> 89.726 MB. [2025-11-26T22:41:52.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:41:56.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:41:58.782Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:42:01.810Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:42:04.158Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:42:05.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:42:07.876Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:42:10.083Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:42:10.083Z] 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. [2025-11-26T22:42:10.083Z] The best model improves the baseline by 14.34%. [2025-11-26T22:42:10.083Z] Top recommended movies for user id 72: [2025-11-26T22:42:10.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:42:10.083Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:42:10.083Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:42:10.083Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:42:10.083Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:42:10.083Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21038.482 ms) ====== [2025-11-26T22:42:10.083Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-26T22:42:10.742Z] GC before operation: completed in 230.873 ms, heap usage 163.331 MB -> 89.564 MB. [2025-11-26T22:42:13.796Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:42:16.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:42:20.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:42:24.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:42:26.216Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:42:28.408Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:42:30.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:42:32.839Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:42:32.839Z] 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. [2025-11-26T22:42:32.839Z] The best model improves the baseline by 14.34%. [2025-11-26T22:42:33.557Z] Top recommended movies for user id 72: [2025-11-26T22:42:33.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:42:33.557Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:42:33.557Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:42:33.557Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:42:33.557Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:42:33.557Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22852.362 ms) ====== [2025-11-26T22:42:33.557Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-26T22:42:33.557Z] GC before operation: completed in 346.848 ms, heap usage 141.441 MB -> 89.402 MB. [2025-11-26T22:42:38.083Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:42:41.142Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:42:44.146Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:42:48.188Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:42:50.371Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:42:51.803Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:42:54.801Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:42:56.234Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:42:56.953Z] 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. [2025-11-26T22:42:56.953Z] The best model improves the baseline by 14.34%. [2025-11-26T22:42:56.953Z] Top recommended movies for user id 72: [2025-11-26T22:42:56.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:42:56.953Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:42:56.953Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:42:56.953Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:42:56.953Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:42:56.953Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23558.516 ms) ====== [2025-11-26T22:42:56.953Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-26T22:42:57.655Z] GC before operation: completed in 217.430 ms, heap usage 308.141 MB -> 89.750 MB. [2025-11-26T22:43:01.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:43:04.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:43:08.536Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:43:11.602Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:43:13.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:43:15.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:43:18.456Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:43:21.352Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:43:21.352Z] 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. [2025-11-26T22:43:21.352Z] The best model improves the baseline by 14.34%. [2025-11-26T22:43:21.352Z] Top recommended movies for user id 72: [2025-11-26T22:43:21.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:43:21.352Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:43:21.352Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:43:21.352Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:43:21.352Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:43:21.352Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23951.872 ms) ====== [2025-11-26T22:43:21.352Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-26T22:43:22.009Z] GC before operation: completed in 309.281 ms, heap usage 192.551 MB -> 89.282 MB. [2025-11-26T22:43:25.088Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:43:29.104Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:43:32.262Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:43:34.468Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:43:36.701Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:43:38.153Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:43:41.120Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:43:43.261Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:43:43.261Z] 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. [2025-11-26T22:43:43.261Z] The best model improves the baseline by 14.34%. [2025-11-26T22:43:43.967Z] Top recommended movies for user id 72: [2025-11-26T22:43:43.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:43:43.967Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:43:43.967Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:43:43.967Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:43:43.967Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:43:43.967Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21945.278 ms) ====== [2025-11-26T22:43:43.967Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-26T22:43:43.967Z] GC before operation: completed in 205.489 ms, heap usage 146.064 MB -> 89.399 MB. [2025-11-26T22:43:47.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:43:50.094Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:43:53.122Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:43:56.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:43:58.281Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:44:00.481Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:44:02.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:44:04.451Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:44:05.124Z] 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. [2025-11-26T22:44:05.124Z] The best model improves the baseline by 14.34%. [2025-11-26T22:44:05.124Z] Top recommended movies for user id 72: [2025-11-26T22:44:05.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:44:05.124Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:44:05.124Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:44:05.124Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:44:05.124Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:44:05.124Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21136.788 ms) ====== [2025-11-26T22:44:05.813Z] ----------------------------------- [2025-11-26T22:44:05.813Z] renaissance-movie-lens_0_PASSED [2025-11-26T22:44:05.813Z] ----------------------------------- [2025-11-26T22:44:05.813Z] [2025-11-26T22:44:05.813Z] TEST TEARDOWN: [2025-11-26T22:44:05.813Z] Nothing to be done for teardown. [2025-11-26T22:44:05.813Z] renaissance-movie-lens_0 Finish Time: Wed Nov 26 22:44:05 2025 Epoch Time (ms): 1764197045195