[2025-07-31T08:07:08.725Z] Running test renaissance-movie-lens_0 ... [2025-07-31T08:07:08.725Z] =============================================== [2025-07-31T08:07:08.725Z] renaissance-movie-lens_0 Start Time: Thu Jul 31 08:07:05 2025 Epoch Time (ms): 1753949225094 [2025-07-31T08:07:08.725Z] variation: NoOptions [2025-07-31T08:07:08.725Z] JVM_OPTIONS: [2025-07-31T08:07:08.725Z] { \ [2025-07-31T08:07:08.725Z] echo ""; echo "TEST SETUP:"; \ [2025-07-31T08:07:08.725Z] echo "Nothing to be done for setup."; \ [2025-07-31T08:07:08.725Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539444591861/renaissance-movie-lens_0"; \ [2025-07-31T08:07:08.725Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539444591861/renaissance-movie-lens_0"; \ [2025-07-31T08:07:08.725Z] echo ""; echo "TESTING:"; \ [2025-07-31T08:07:08.725Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/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_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539444591861/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-31T08:07:08.725Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539444591861/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-31T08:07:08.725Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-31T08:07:08.725Z] echo "Nothing to be done for teardown."; \ [2025-07-31T08:07:08.725Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539444591861/TestTargetResult"; [2025-07-31T08:07:08.725Z] [2025-07-31T08:07:08.725Z] TEST SETUP: [2025-07-31T08:07:08.725Z] Nothing to be done for setup. [2025-07-31T08:07:08.725Z] [2025-07-31T08:07:08.725Z] TESTING: [2025-07-31T08:07:31.758Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-31T08:08:05.100Z] 08:08:00.677 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-31T08:08:11.032Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-31T08:08:13.987Z] Training: 60056, validation: 20285, test: 19854 [2025-07-31T08:08:13.987Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-31T08:08:14.706Z] GC before operation: completed in 595.098 ms, heap usage 379.284 MB -> 76.275 MB. [2025-07-31T08:08:42.667Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:08:58.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:09:14.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:09:25.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:09:32.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:09:39.804Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:09:45.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:09:52.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:09:54.102Z] 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. [2025-07-31T08:09:54.436Z] The best model improves the baseline by 14.52%. [2025-07-31T08:09:55.577Z] Top recommended movies for user id 72: [2025-07-31T08:09:55.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:09:55.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:09:55.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:09:55.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:09:55.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:09:55.577Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (101176.205 ms) ====== [2025-07-31T08:09:55.577Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-31T08:09:56.798Z] GC before operation: completed in 1154.331 ms, heap usage 1.125 GB -> 98.160 MB. [2025-07-31T08:10:09.958Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:10:20.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:10:31.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:10:42.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:10:46.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:10:54.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:11:00.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:11:06.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:11:07.504Z] 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. [2025-07-31T08:11:07.504Z] The best model improves the baseline by 14.52%. [2025-07-31T08:11:08.208Z] Top recommended movies for user id 72: [2025-07-31T08:11:08.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:11:08.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:11:08.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:11:08.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:11:08.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:11:08.208Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (71349.619 ms) ====== [2025-07-31T08:11:08.208Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-31T08:11:09.372Z] GC before operation: completed in 1015.457 ms, heap usage 218.139 MB -> 89.050 MB. [2025-07-31T08:11:20.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:11:31.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:11:39.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:11:50.751Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:11:55.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:12:01.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:12:08.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:12:13.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:12:14.513Z] 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. [2025-07-31T08:12:14.513Z] The best model improves the baseline by 14.52%. [2025-07-31T08:12:15.726Z] Top recommended movies for user id 72: [2025-07-31T08:12:15.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:12:15.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:12:15.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:12:15.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:12:15.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:12:15.726Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66373.499 ms) ====== [2025-07-31T08:12:15.726Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-31T08:12:16.454Z] GC before operation: completed in 936.761 ms, heap usage 288.944 MB -> 89.909 MB. [2025-07-31T08:12:27.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:12:36.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:12:46.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:12:55.832Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:13:03.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:13:09.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:13:15.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:13:20.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:13:22.057Z] 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. [2025-07-31T08:13:22.057Z] The best model improves the baseline by 14.52%. [2025-07-31T08:13:23.207Z] Top recommended movies for user id 72: [2025-07-31T08:13:23.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:13:23.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:13:23.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:13:23.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:13:23.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:13:23.207Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (66533.405 ms) ====== [2025-07-31T08:13:23.207Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-31T08:13:23.913Z] GC before operation: completed in 810.709 ms, heap usage 131.248 MB -> 90.076 MB. [2025-07-31T08:13:34.936Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:13:43.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:13:54.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:14:03.549Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:14:09.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:14:15.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:14:22.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:14:28.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:14:29.231Z] 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. [2025-07-31T08:14:29.231Z] The best model improves the baseline by 14.52%. [2025-07-31T08:14:29.935Z] Top recommended movies for user id 72: [2025-07-31T08:14:29.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:14:29.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:14:29.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:14:29.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:14:29.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:14:29.935Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65996.028 ms) ====== [2025-07-31T08:14:29.935Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-31T08:14:30.652Z] GC before operation: completed in 840.096 ms, heap usage 391.325 MB -> 90.369 MB. [2025-07-31T08:14:41.538Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:14:50.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:14:59.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:15:10.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:15:13.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:15:19.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:15:25.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:15:30.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:15:30.983Z] 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. [2025-07-31T08:15:31.310Z] The best model improves the baseline by 14.52%. [2025-07-31T08:15:31.873Z] Top recommended movies for user id 72: [2025-07-31T08:15:31.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:15:31.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:15:31.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:15:31.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:15:31.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:15:31.873Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (61136.479 ms) ====== [2025-07-31T08:15:31.873Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-31T08:15:32.600Z] GC before operation: completed in 861.159 ms, heap usage 505.503 MB -> 90.789 MB. [2025-07-31T08:15:43.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:15:50.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:15:59.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:16:08.402Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:16:13.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:16:17.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:16:23.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:16:28.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:16:28.942Z] 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. [2025-07-31T08:16:28.942Z] The best model improves the baseline by 14.52%. [2025-07-31T08:16:29.645Z] Top recommended movies for user id 72: [2025-07-31T08:16:29.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:16:29.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:16:29.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:16:29.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:16:29.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:16:29.645Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (57068.980 ms) ====== [2025-07-31T08:16:29.645Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-31T08:16:30.826Z] GC before operation: completed in 896.254 ms, heap usage 764.832 MB -> 94.270 MB. [2025-07-31T08:16:39.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:16:48.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:16:57.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:17:06.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:17:11.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:17:16.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:17:22.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:17:28.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:17:29.155Z] 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. [2025-07-31T08:17:29.484Z] The best model improves the baseline by 14.52%. [2025-07-31T08:17:30.199Z] Top recommended movies for user id 72: [2025-07-31T08:17:30.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:17:30.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:17:30.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:17:30.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:17:30.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:17:30.199Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (59432.882 ms) ====== [2025-07-31T08:17:30.199Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-31T08:17:30.925Z] GC before operation: completed in 824.978 ms, heap usage 132.051 MB -> 90.425 MB. [2025-07-31T08:17:41.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:17:49.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:17:58.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:18:07.005Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:18:12.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:18:18.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:18:23.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:18:29.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:18:30.123Z] 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. [2025-07-31T08:18:30.452Z] The best model improves the baseline by 14.52%. [2025-07-31T08:18:32.239Z] Top recommended movies for user id 72: [2025-07-31T08:18:32.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:18:32.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:18:32.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:18:32.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:18:32.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:18:32.239Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (60230.731 ms) ====== [2025-07-31T08:18:32.239Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-31T08:18:32.239Z] GC before operation: completed in 834.267 ms, heap usage 413.846 MB -> 90.642 MB. [2025-07-31T08:18:41.100Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:18:50.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:19:00.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:19:08.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:19:13.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:19:19.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:19:25.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:19:30.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:19:31.664Z] 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. [2025-07-31T08:19:31.664Z] The best model improves the baseline by 14.52%. [2025-07-31T08:19:32.362Z] Top recommended movies for user id 72: [2025-07-31T08:19:32.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:19:32.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:19:32.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:19:32.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:19:32.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:19:32.362Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (60496.082 ms) ====== [2025-07-31T08:19:32.362Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-31T08:19:33.527Z] GC before operation: completed in 828.915 ms, heap usage 220.217 MB -> 90.591 MB. [2025-07-31T08:19:42.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:19:51.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:19:58.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:20:07.614Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:20:12.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:20:18.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:20:22.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:20:27.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:20:28.802Z] 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. [2025-07-31T08:20:28.802Z] The best model improves the baseline by 14.52%. [2025-07-31T08:20:29.506Z] Top recommended movies for user id 72: [2025-07-31T08:20:29.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:20:29.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:20:29.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:20:29.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:20:29.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:20:29.506Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55979.251 ms) ====== [2025-07-31T08:20:29.506Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-31T08:20:30.226Z] GC before operation: completed in 890.121 ms, heap usage 531.565 MB -> 90.742 MB. [2025-07-31T08:20:39.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:20:47.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:20:57.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:21:05.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:21:11.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:21:16.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:21:22.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:21:27.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:21:27.859Z] 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. [2025-07-31T08:21:27.859Z] The best model improves the baseline by 14.52%. [2025-07-31T08:21:29.009Z] Top recommended movies for user id 72: [2025-07-31T08:21:29.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:21:29.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:21:29.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:21:29.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:21:29.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:21:29.009Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (58692.413 ms) ====== [2025-07-31T08:21:29.009Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-31T08:21:29.735Z] GC before operation: completed in 840.811 ms, heap usage 247.686 MB -> 90.568 MB. [2025-07-31T08:21:38.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:21:47.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:21:56.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:22:05.512Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:22:11.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:22:17.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:22:22.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:22:27.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:22:28.965Z] 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. [2025-07-31T08:22:28.965Z] The best model improves the baseline by 14.52%. [2025-07-31T08:22:29.669Z] Top recommended movies for user id 72: [2025-07-31T08:22:29.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:22:29.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:22:29.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:22:29.669Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:22:29.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:22:29.669Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (59871.749 ms) ====== [2025-07-31T08:22:29.669Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-31T08:22:30.394Z] GC before operation: completed in 838.203 ms, heap usage 492.418 MB -> 91.023 MB. [2025-07-31T08:22:41.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:22:48.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:22:59.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:23:06.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:23:13.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:23:18.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:23:24.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:23:29.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:23:30.209Z] 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. [2025-07-31T08:23:30.538Z] The best model improves the baseline by 14.52%. [2025-07-31T08:23:31.256Z] Top recommended movies for user id 72: [2025-07-31T08:23:31.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:23:31.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:23:31.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:23:31.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:23:31.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:23:31.256Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (60724.137 ms) ====== [2025-07-31T08:23:31.256Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-31T08:23:31.987Z] GC before operation: completed in 835.708 ms, heap usage 375.273 MB -> 90.764 MB. [2025-07-31T08:23:40.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:23:49.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:23:59.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:24:06.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:24:12.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:24:17.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:24:22.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:24:28.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:24:29.228Z] 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. [2025-07-31T08:24:29.228Z] The best model improves the baseline by 14.52%. [2025-07-31T08:24:29.933Z] Top recommended movies for user id 72: [2025-07-31T08:24:29.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:24:29.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:24:29.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:24:29.933Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:24:29.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:24:29.933Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (57909.805 ms) ====== [2025-07-31T08:24:29.933Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-31T08:24:30.654Z] GC before operation: completed in 841.141 ms, heap usage 411.431 MB -> 90.988 MB. [2025-07-31T08:24:40.014Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:24:49.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:24:57.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:25:06.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:25:11.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:25:17.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:25:23.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:25:28.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:25:29.924Z] 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. [2025-07-31T08:25:29.924Z] The best model improves the baseline by 14.52%. [2025-07-31T08:25:30.638Z] Top recommended movies for user id 72: [2025-07-31T08:25:30.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:25:30.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:25:30.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:25:30.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:25:30.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:25:30.638Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (59764.294 ms) ====== [2025-07-31T08:25:30.638Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-31T08:25:31.363Z] GC before operation: completed in 851.158 ms, heap usage 427.256 MB -> 90.798 MB. [2025-07-31T08:25:40.242Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:25:49.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:25:59.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:26:07.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:26:13.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:26:17.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:26:23.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:26:28.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:26:29.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-31T08:26:29.657Z] The best model improves the baseline by 14.52%. [2025-07-31T08:26:30.810Z] Top recommended movies for user id 72: [2025-07-31T08:26:30.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:26:30.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:26:30.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:26:30.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:26:30.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:26:30.810Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (59248.984 ms) ====== [2025-07-31T08:26:30.810Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-31T08:26:31.538Z] GC before operation: completed in 867.570 ms, heap usage 302.830 MB -> 90.844 MB. [2025-07-31T08:26:40.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:26:51.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:26:58.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:27:07.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:27:13.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:27:18.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:27:25.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:27:30.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:27:30.282Z] 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. [2025-07-31T08:27:30.649Z] The best model improves the baseline by 14.52%. [2025-07-31T08:27:31.351Z] Top recommended movies for user id 72: [2025-07-31T08:27:31.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:27:31.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:27:31.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:27:31.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:27:31.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:27:31.351Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (59871.485 ms) ====== [2025-07-31T08:27:31.351Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-31T08:27:32.076Z] GC before operation: completed in 848.646 ms, heap usage 208.935 MB -> 90.563 MB. [2025-07-31T08:27:40.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:27:50.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:27:59.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:28:08.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:28:13.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:28:18.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:28:24.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:28:30.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:28:31.275Z] 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. [2025-07-31T08:28:31.275Z] The best model improves the baseline by 14.52%. [2025-07-31T08:28:31.275Z] Top recommended movies for user id 72: [2025-07-31T08:28:31.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:28:31.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:28:31.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:28:31.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:28:31.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:28:31.275Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (59134.614 ms) ====== [2025-07-31T08:28:31.275Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-31T08:28:32.432Z] GC before operation: completed in 843.530 ms, heap usage 139.365 MB -> 90.485 MB. [2025-07-31T08:28:41.330Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T08:28:50.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T08:28:59.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T08:29:07.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T08:29:12.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T08:29:17.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T08:29:23.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T08:29:27.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T08:29:28.528Z] 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. [2025-07-31T08:29:28.528Z] The best model improves the baseline by 14.52%. [2025-07-31T08:29:29.233Z] Top recommended movies for user id 72: [2025-07-31T08:29:29.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T08:29:29.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T08:29:29.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T08:29:29.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T08:29:29.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T08:29:29.233Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57086.357 ms) ====== [2025-07-31T08:29:33.024Z] ----------------------------------- [2025-07-31T08:29:33.024Z] renaissance-movie-lens_0_PASSED [2025-07-31T08:29:33.024Z] ----------------------------------- [2025-07-31T08:29:33.024Z] [2025-07-31T08:29:33.024Z] TEST TEARDOWN: [2025-07-31T08:29:33.024Z] Nothing to be done for teardown. [2025-07-31T08:29:33.389Z] renaissance-movie-lens_0 Finish Time: Thu Jul 31 08:29:33 2025 Epoch Time (ms): 1753950573048