[2025-12-12T00:27:04.737Z] Running test renaissance-movie-lens_0 ... [2025-12-12T00:27:04.737Z] =============================================== [2025-12-12T00:27:04.737Z] renaissance-movie-lens_0 Start Time: Fri Dec 12 00:27:03 2025 Epoch Time (ms): 1765499223612 [2025-12-12T00:27:04.737Z] variation: NoOptions [2025-12-12T00:27:04.737Z] JVM_OPTIONS: [2025-12-12T00:27:04.737Z] { \ [2025-12-12T00:27:04.737Z] echo ""; echo "TEST SETUP:"; \ [2025-12-12T00:27:04.737Z] echo "Nothing to be done for setup."; \ [2025-12-12T00:27:04.737Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17654972259811/renaissance-movie-lens_0"; \ [2025-12-12T00:27:04.737Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17654972259811/renaissance-movie-lens_0"; \ [2025-12-12T00:27:04.737Z] echo ""; echo "TESTING:"; \ [2025-12-12T00:27:04.737Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17654972259811/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-12T00:27:04.737Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17654972259811/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-12T00:27:04.737Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-12T00:27:04.737Z] echo "Nothing to be done for teardown."; \ [2025-12-12T00:27:04.737Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17654972259811/TestTargetResult"; [2025-12-12T00:27:04.737Z] [2025-12-12T00:27:04.737Z] TEST SETUP: [2025-12-12T00:27:04.737Z] Nothing to be done for setup. [2025-12-12T00:27:04.737Z] [2025-12-12T00:27:04.737Z] TESTING: [2025-12-12T00:27:12.877Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-12T00:27:22.728Z] 00:27:22.228 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. [2025-12-12T00:27:25.753Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-12T00:27:26.710Z] Training: 60056, validation: 20285, test: 19854 [2025-12-12T00:27:26.710Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-12T00:27:26.710Z] GC before operation: completed in 165.064 ms, heap usage 165.722 MB -> 76.072 MB. [2025-12-12T00:27:35.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:27:41.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:27:45.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:27:49.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:27:52.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:27:55.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:27:57.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:28:00.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:28:00.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-12T00:28:00.573Z] The best model improves the baseline by 14.52%. [2025-12-12T00:28:00.573Z] Top recommended movies for user id 72: [2025-12-12T00:28:00.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:28:00.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:28:00.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:28:00.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:28:00.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:28:00.573Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34380.072 ms) ====== [2025-12-12T00:28:00.573Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-12T00:28:01.527Z] GC before operation: completed in 175.871 ms, heap usage 437.889 MB -> 86.966 MB. [2025-12-12T00:28:05.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:28:09.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:28:14.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:28:17.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:28:19.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:28:22.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:28:24.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:28:26.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:28:27.646Z] 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. [2025-12-12T00:28:27.646Z] The best model improves the baseline by 14.52%. [2025-12-12T00:28:27.646Z] Top recommended movies for user id 72: [2025-12-12T00:28:27.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:28:27.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:28:27.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:28:27.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:28:27.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:28:27.646Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25784.906 ms) ====== [2025-12-12T00:28:27.646Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-12T00:28:27.646Z] GC before operation: completed in 167.185 ms, heap usage 180.802 MB -> 88.777 MB. [2025-12-12T00:28:30.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:28:34.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:28:39.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:28:42.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:28:44.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:28:46.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:28:47.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:28:49.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:28:50.884Z] 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. [2025-12-12T00:28:50.884Z] The best model improves the baseline by 14.52%. [2025-12-12T00:28:50.884Z] Top recommended movies for user id 72: [2025-12-12T00:28:50.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:28:50.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:28:50.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:28:50.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:28:50.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:28:50.884Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23684.535 ms) ====== [2025-12-12T00:28:50.884Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-12T00:28:50.884Z] GC before operation: completed in 170.720 ms, heap usage 206.825 MB -> 89.421 MB. [2025-12-12T00:28:54.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:28:57.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:29:01.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:29:04.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:29:06.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:29:08.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:29:10.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:29:11.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:29:12.098Z] 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. [2025-12-12T00:29:12.098Z] The best model improves the baseline by 14.52%. [2025-12-12T00:29:12.098Z] Top recommended movies for user id 72: [2025-12-12T00:29:12.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:29:12.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:29:12.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:29:12.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:29:12.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:29:12.098Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21141.804 ms) ====== [2025-12-12T00:29:12.098Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-12T00:29:12.098Z] GC before operation: completed in 174.473 ms, heap usage 357.530 MB -> 90.027 MB. [2025-12-12T00:29:16.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:29:19.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:29:21.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:29:24.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:29:26.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:29:29.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:29:31.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:29:33.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:29:33.591Z] 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. [2025-12-12T00:29:33.591Z] The best model improves the baseline by 14.52%. [2025-12-12T00:29:34.545Z] Top recommended movies for user id 72: [2025-12-12T00:29:34.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:29:34.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:29:34.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:29:34.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:29:34.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:29:34.545Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21766.569 ms) ====== [2025-12-12T00:29:34.545Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-12T00:29:34.545Z] GC before operation: completed in 164.691 ms, heap usage 338.123 MB -> 89.869 MB. [2025-12-12T00:29:37.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:29:40.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:29:43.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:29:47.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:29:48.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:29:50.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:29:53.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:29:54.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:29:55.657Z] 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. [2025-12-12T00:29:55.657Z] The best model improves the baseline by 14.52%. [2025-12-12T00:29:55.657Z] Top recommended movies for user id 72: [2025-12-12T00:29:55.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:29:55.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:29:55.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:29:55.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:29:55.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:29:55.657Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21634.518 ms) ====== [2025-12-12T00:29:55.657Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-12T00:29:55.657Z] GC before operation: completed in 165.298 ms, heap usage 97.758 MB -> 89.848 MB. [2025-12-12T00:29:59.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:30:02.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:30:05.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:30:08.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:30:10.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:30:12.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:30:14.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:30:16.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:30:17.458Z] 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. [2025-12-12T00:30:17.458Z] The best model improves the baseline by 14.52%. [2025-12-12T00:30:17.458Z] Top recommended movies for user id 72: [2025-12-12T00:30:17.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:30:17.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:30:17.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:30:17.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:30:17.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:30:17.459Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21423.518 ms) ====== [2025-12-12T00:30:17.459Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-12T00:30:17.459Z] GC before operation: completed in 165.115 ms, heap usage 340.901 MB -> 90.123 MB. [2025-12-12T00:30:20.498Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:30:24.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:30:27.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:30:30.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:30:32.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:30:34.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:30:36.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:30:38.587Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:30:38.587Z] 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. [2025-12-12T00:30:38.587Z] The best model improves the baseline by 14.52%. [2025-12-12T00:30:38.587Z] Top recommended movies for user id 72: [2025-12-12T00:30:38.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:30:38.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:30:38.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:30:38.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:30:38.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:30:38.587Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21095.418 ms) ====== [2025-12-12T00:30:38.587Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-12T00:30:38.587Z] GC before operation: completed in 171.548 ms, heap usage 292.643 MB -> 90.354 MB. [2025-12-12T00:30:42.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:30:45.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:30:48.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:30:51.884Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:30:53.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:30:55.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:30:57.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:30:59.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:30:59.715Z] 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. [2025-12-12T00:30:59.715Z] The best model improves the baseline by 14.52%. [2025-12-12T00:30:59.715Z] Top recommended movies for user id 72: [2025-12-12T00:30:59.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:30:59.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:30:59.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:30:59.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:30:59.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:30:59.715Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21054.655 ms) ====== [2025-12-12T00:30:59.715Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-12T00:30:59.715Z] GC before operation: completed in 166.685 ms, heap usage 207.414 MB -> 90.074 MB. [2025-12-12T00:31:03.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:31:06.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:31:09.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:31:12.597Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:31:13.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:31:15.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:31:17.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:31:19.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:31:19.432Z] 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. [2025-12-12T00:31:19.432Z] The best model improves the baseline by 14.52%. [2025-12-12T00:31:20.389Z] Top recommended movies for user id 72: [2025-12-12T00:31:20.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:31:20.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:31:20.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:31:20.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:31:20.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:31:20.389Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19935.770 ms) ====== [2025-12-12T00:31:20.389Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-12T00:31:20.389Z] GC before operation: completed in 170.582 ms, heap usage 295.234 MB -> 90.485 MB. [2025-12-12T00:31:23.413Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:31:26.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:31:30.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:31:32.554Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:31:34.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:31:36.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:31:38.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:31:40.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:31:41.377Z] 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. [2025-12-12T00:31:41.377Z] The best model improves the baseline by 14.52%. [2025-12-12T00:31:41.377Z] Top recommended movies for user id 72: [2025-12-12T00:31:41.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:31:41.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:31:41.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:31:41.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:31:41.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:31:41.377Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21342.111 ms) ====== [2025-12-12T00:31:41.377Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-12T00:31:41.377Z] GC before operation: completed in 168.553 ms, heap usage 362.849 MB -> 90.267 MB. [2025-12-12T00:31:45.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:31:48.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:31:51.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:31:55.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:31:56.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:31:58.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:32:00.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:32:02.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:32:02.144Z] 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. [2025-12-12T00:32:02.144Z] The best model improves the baseline by 14.52%. [2025-12-12T00:32:03.100Z] Top recommended movies for user id 72: [2025-12-12T00:32:03.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:32:03.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:32:03.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:32:03.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:32:03.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:32:03.100Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21087.780 ms) ====== [2025-12-12T00:32:03.100Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-12T00:32:03.100Z] GC before operation: completed in 165.122 ms, heap usage 199.588 MB -> 90.240 MB. [2025-12-12T00:32:06.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:32:09.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:32:13.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:32:16.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:32:18.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:32:20.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:32:22.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:32:24.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:32:24.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-12T00:32:24.198Z] The best model improves the baseline by 14.52%. [2025-12-12T00:32:24.198Z] Top recommended movies for user id 72: [2025-12-12T00:32:24.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:32:24.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:32:24.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:32:24.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:32:24.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:32:24.198Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21431.257 ms) ====== [2025-12-12T00:32:24.198Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-12T00:32:24.198Z] GC before operation: completed in 177.363 ms, heap usage 365.685 MB -> 90.608 MB. [2025-12-12T00:32:28.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:32:31.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:32:34.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:32:37.452Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:32:39.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:32:41.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:32:43.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:32:45.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:32:45.370Z] 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. [2025-12-12T00:32:45.370Z] The best model improves the baseline by 14.52%. [2025-12-12T00:32:46.327Z] Top recommended movies for user id 72: [2025-12-12T00:32:46.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:32:46.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:32:46.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:32:46.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:32:46.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:32:46.327Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21402.550 ms) ====== [2025-12-12T00:32:46.327Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-12T00:32:46.327Z] GC before operation: completed in 171.147 ms, heap usage 212.577 MB -> 90.185 MB. [2025-12-12T00:32:49.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:32:52.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:32:55.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:32:58.787Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:33:00.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:33:02.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:33:04.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:33:06.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:33:06.626Z] 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. [2025-12-12T00:33:06.626Z] The best model improves the baseline by 14.52%. [2025-12-12T00:33:06.626Z] Top recommended movies for user id 72: [2025-12-12T00:33:06.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:33:06.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:33:06.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:33:06.626Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:33:06.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:33:06.626Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20867.813 ms) ====== [2025-12-12T00:33:06.626Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-12T00:33:07.580Z] GC before operation: completed in 166.706 ms, heap usage 247.783 MB -> 90.437 MB. [2025-12-12T00:33:10.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:33:13.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:33:16.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:33:19.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:33:21.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:33:23.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:33:25.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:33:27.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:33:27.529Z] 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. [2025-12-12T00:33:27.529Z] The best model improves the baseline by 14.52%. [2025-12-12T00:33:28.484Z] Top recommended movies for user id 72: [2025-12-12T00:33:28.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:33:28.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:33:28.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:33:28.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:33:28.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:33:28.484Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20900.731 ms) ====== [2025-12-12T00:33:28.484Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-12T00:33:28.484Z] GC before operation: completed in 170.774 ms, heap usage 158.497 MB -> 90.234 MB. [2025-12-12T00:33:31.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:33:34.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:33:37.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:33:39.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:33:42.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:33:43.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:33:45.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:33:47.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:33:48.016Z] 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. [2025-12-12T00:33:48.016Z] The best model improves the baseline by 14.52%. [2025-12-12T00:33:48.016Z] Top recommended movies for user id 72: [2025-12-12T00:33:48.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:33:48.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:33:48.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:33:48.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:33:48.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:33:48.016Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19571.382 ms) ====== [2025-12-12T00:33:48.016Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-12T00:33:48.016Z] GC before operation: completed in 168.518 ms, heap usage 243.216 MB -> 90.392 MB. [2025-12-12T00:33:51.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:33:54.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:33:57.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:34:00.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:34:02.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:34:04.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:34:07.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:34:08.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:34:09.193Z] 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. [2025-12-12T00:34:09.193Z] The best model improves the baseline by 14.52%. [2025-12-12T00:34:09.193Z] Top recommended movies for user id 72: [2025-12-12T00:34:09.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:34:09.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:34:09.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:34:09.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:34:09.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:34:09.193Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21035.223 ms) ====== [2025-12-12T00:34:09.193Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-12T00:34:09.193Z] GC before operation: completed in 171.196 ms, heap usage 619.115 MB -> 93.909 MB. [2025-12-12T00:34:12.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:34:15.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:34:19.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:34:22.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:34:23.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:34:25.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:34:27.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:34:29.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:34:30.227Z] 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. [2025-12-12T00:34:30.227Z] The best model improves the baseline by 14.52%. [2025-12-12T00:34:30.227Z] Top recommended movies for user id 72: [2025-12-12T00:34:30.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:34:30.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:34:30.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:34:30.227Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:34:30.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:34:30.227Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20910.112 ms) ====== [2025-12-12T00:34:30.227Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-12T00:34:30.227Z] GC before operation: completed in 168.462 ms, heap usage 471.199 MB -> 90.709 MB. [2025-12-12T00:34:33.248Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-12T00:34:36.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-12T00:34:40.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-12T00:34:43.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-12T00:34:45.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-12T00:34:46.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-12T00:34:48.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-12T00:34:50.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-12T00:34:50.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-12T00:34:50.906Z] The best model improves the baseline by 14.52%. [2025-12-12T00:34:50.906Z] Top recommended movies for user id 72: [2025-12-12T00:34:50.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-12T00:34:50.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-12T00:34:50.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-12T00:34:50.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-12T00:34:50.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-12T00:34:50.906Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20812.116 ms) ====== [2025-12-12T00:34:51.860Z] ----------------------------------- [2025-12-12T00:34:51.860Z] renaissance-movie-lens_0_PASSED [2025-12-12T00:34:51.860Z] ----------------------------------- [2025-12-12T00:34:51.860Z] [2025-12-12T00:34:51.860Z] TEST TEARDOWN: [2025-12-12T00:34:51.860Z] Nothing to be done for teardown. [2025-12-12T00:34:51.860Z] renaissance-movie-lens_0 Finish Time: Fri Dec 12 00:34:51 2025 Epoch Time (ms): 1765499691725