[2025-09-03T22:40:00.146Z] Running test renaissance-movie-lens_0 ... [2025-09-03T22:40:00.472Z] =============================================== [2025-09-03T22:40:00.472Z] renaissance-movie-lens_0 Start Time: Wed Sep 3 22:40:00 2025 Epoch Time (ms): 1756939200433 [2025-09-03T22:40:00.780Z] variation: NoOptions [2025-09-03T22:40:00.780Z] JVM_OPTIONS: [2025-09-03T22:40:00.780Z] { \ [2025-09-03T22:40:00.780Z] echo ""; echo "TEST SETUP:"; \ [2025-09-03T22:40:00.780Z] echo "Nothing to be done for setup."; \ [2025-09-03T22:40:00.780Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17569375734488\\renaissance-movie-lens_0"; \ [2025-09-03T22:40:00.780Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17569375734488\\renaissance-movie-lens_0"; \ [2025-09-03T22:40:00.780Z] echo ""; echo "TESTING:"; \ [2025-09-03T22:40:00.780Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17569375734488\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-09-03T22:40:00.780Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17569375734488\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-03T22:40:00.780Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-03T22:40:00.780Z] echo "Nothing to be done for teardown."; \ [2025-09-03T22:40:00.780Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17569375734488\\TestTargetResult"; [2025-09-03T22:40:01.103Z] [2025-09-03T22:40:01.103Z] TEST SETUP: [2025-09-03T22:40:01.103Z] Nothing to be done for setup. [2025-09-03T22:40:01.103Z] [2025-09-03T22:40:01.103Z] TESTING: [2025-09-03T22:40:13.966Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-09-03T22:40:21.212Z] 22:40:20.784 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-09-03T22:40:23.671Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-03T22:40:23.671Z] Training: 60056, validation: 20285, test: 19854 [2025-09-03T22:40:23.671Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-03T22:40:24.161Z] GC before operation: completed in 127.002 ms, heap usage 407.121 MB -> 76.374 MB. [2025-09-03T22:40:37.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:40:44.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:40:55.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:41:02.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:41:06.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:41:11.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:41:17.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:41:20.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:41:21.089Z] 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. [2025-09-03T22:41:21.089Z] The best model improves the baseline by 14.52%. [2025-09-03T22:41:21.449Z] Top recommended movies for user id 72: [2025-09-03T22:41:21.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:41:21.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:41:21.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:41:21.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:41:21.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:41:21.449Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57584.149 ms) ====== [2025-09-03T22:41:21.449Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-03T22:41:21.449Z] GC before operation: completed in 129.943 ms, heap usage 277.794 MB -> 99.484 MB. [2025-09-03T22:41:30.230Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:41:37.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:41:44.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:41:51.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:41:56.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:41:59.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:42:04.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:42:09.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:42:09.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-09-03T22:42:09.113Z] The best model improves the baseline by 14.52%. [2025-09-03T22:42:09.113Z] Top recommended movies for user id 72: [2025-09-03T22:42:09.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:42:09.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:42:09.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:42:09.113Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:42:09.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:42:09.113Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47606.710 ms) ====== [2025-09-03T22:42:09.113Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-03T22:42:09.437Z] GC before operation: completed in 125.335 ms, heap usage 275.867 MB -> 89.122 MB. [2025-09-03T22:42:16.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:42:23.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:42:32.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:42:39.493Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:42:43.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:42:46.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:42:51.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:42:56.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:42:56.159Z] 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. [2025-09-03T22:42:56.159Z] The best model improves the baseline by 14.52%. [2025-09-03T22:42:56.159Z] Top recommended movies for user id 72: [2025-09-03T22:42:56.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:42:56.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:42:56.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:42:56.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:42:56.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:42:56.159Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46937.729 ms) ====== [2025-09-03T22:42:56.159Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-03T22:42:56.486Z] GC before operation: completed in 104.597 ms, heap usage 116.572 MB -> 89.695 MB. [2025-09-03T22:43:03.571Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:43:10.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:43:19.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:43:26.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:43:30.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:43:34.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:43:39.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:43:43.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:43:43.343Z] 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. [2025-09-03T22:43:43.343Z] The best model improves the baseline by 14.52%. [2025-09-03T22:43:43.682Z] Top recommended movies for user id 72: [2025-09-03T22:43:43.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:43:43.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:43:43.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:43:43.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:43:43.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:43:43.683Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (47320.768 ms) ====== [2025-09-03T22:43:43.683Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-03T22:43:43.683Z] GC before operation: completed in 109.588 ms, heap usage 176.739 MB -> 89.997 MB. [2025-09-03T22:43:50.760Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:43:57.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:44:06.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:44:13.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:44:16.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:44:21.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:44:25.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:44:29.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:44:29.714Z] 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. [2025-09-03T22:44:29.714Z] The best model improves the baseline by 14.52%. [2025-09-03T22:44:30.039Z] Top recommended movies for user id 72: [2025-09-03T22:44:30.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:44:30.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:44:30.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:44:30.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:44:30.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:44:30.039Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46230.783 ms) ====== [2025-09-03T22:44:30.039Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-03T22:44:30.039Z] GC before operation: completed in 105.538 ms, heap usage 117.866 MB -> 89.884 MB. [2025-09-03T22:44:37.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:44:44.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:44:52.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:44:59.956Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:45:03.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:45:07.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:45:11.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:45:15.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:45:16.208Z] 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. [2025-09-03T22:45:16.208Z] The best model improves the baseline by 14.52%. [2025-09-03T22:45:16.536Z] Top recommended movies for user id 72: [2025-09-03T22:45:16.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:45:16.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:45:16.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:45:16.536Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:45:16.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:45:16.536Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (46303.259 ms) ====== [2025-09-03T22:45:16.536Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-03T22:45:16.536Z] GC before operation: completed in 109.930 ms, heap usage 185.037 MB -> 90.282 MB. [2025-09-03T22:45:23.625Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:45:30.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:45:37.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:45:44.915Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:45:49.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:45:53.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:45:57.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:46:02.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:46:02.519Z] 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. [2025-09-03T22:46:02.519Z] The best model improves the baseline by 14.52%. [2025-09-03T22:46:02.519Z] Top recommended movies for user id 72: [2025-09-03T22:46:02.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:46:02.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:46:02.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:46:02.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:46:02.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:46:02.519Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46061.259 ms) ====== [2025-09-03T22:46:02.519Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-03T22:46:02.841Z] GC before operation: completed in 106.440 ms, heap usage 212.056 MB -> 90.302 MB. [2025-09-03T22:46:09.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:46:17.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:46:25.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:46:32.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:46:35.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:46:40.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:46:44.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:46:48.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:46:48.956Z] 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. [2025-09-03T22:46:48.956Z] The best model improves the baseline by 14.52%. [2025-09-03T22:46:48.956Z] Top recommended movies for user id 72: [2025-09-03T22:46:48.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:46:48.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:46:48.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:46:48.956Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:46:48.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:46:48.956Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46312.429 ms) ====== [2025-09-03T22:46:48.956Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-03T22:46:49.282Z] GC before operation: completed in 122.339 ms, heap usage 449.649 MB -> 90.749 MB. [2025-09-03T22:46:56.371Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:47:03.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:47:12.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:47:17.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:47:22.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:47:26.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:47:30.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:47:34.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:47:35.146Z] 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. [2025-09-03T22:47:35.146Z] The best model improves the baseline by 14.52%. [2025-09-03T22:47:35.471Z] Top recommended movies for user id 72: [2025-09-03T22:47:35.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:47:35.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:47:35.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:47:35.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:47:35.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:47:35.471Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46217.061 ms) ====== [2025-09-03T22:47:35.471Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-03T22:47:35.471Z] GC before operation: completed in 105.539 ms, heap usage 178.778 MB -> 90.336 MB. [2025-09-03T22:47:42.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:47:49.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:47:56.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:48:03.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:48:08.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:48:12.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:48:16.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:48:20.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:48:20.772Z] 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. [2025-09-03T22:48:20.772Z] The best model improves the baseline by 14.52%. [2025-09-03T22:48:21.092Z] Top recommended movies for user id 72: [2025-09-03T22:48:21.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:48:21.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:48:21.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:48:21.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:48:21.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:48:21.092Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45629.744 ms) ====== [2025-09-03T22:48:21.092Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-03T22:48:21.092Z] GC before operation: completed in 112.207 ms, heap usage 228.994 MB -> 90.563 MB. [2025-09-03T22:48:28.181Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:48:35.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:48:43.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:48:49.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:48:54.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:48:57.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:49:02.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:49:06.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:49:06.574Z] 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. [2025-09-03T22:49:06.574Z] The best model improves the baseline by 14.52%. [2025-09-03T22:49:06.895Z] Top recommended movies for user id 72: [2025-09-03T22:49:06.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:49:06.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:49:06.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:49:06.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:49:06.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:49:06.895Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45614.994 ms) ====== [2025-09-03T22:49:06.895Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-03T22:49:06.895Z] GC before operation: completed in 108.991 ms, heap usage 300.022 MB -> 90.431 MB. [2025-09-03T22:49:13.970Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:49:21.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:49:28.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:49:35.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:49:39.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:49:43.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:49:48.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:49:51.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:49:52.547Z] 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. [2025-09-03T22:49:52.547Z] The best model improves the baseline by 14.52%. [2025-09-03T22:49:52.547Z] Top recommended movies for user id 72: [2025-09-03T22:49:52.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:49:52.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:49:52.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:49:52.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:49:52.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:49:52.548Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45689.494 ms) ====== [2025-09-03T22:49:52.548Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-03T22:49:52.886Z] GC before operation: completed in 104.630 ms, heap usage 118.976 MB -> 90.356 MB. [2025-09-03T22:49:59.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:50:07.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:50:15.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:50:21.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:50:25.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:50:28.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:50:33.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:50:37.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:50:37.326Z] 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. [2025-09-03T22:50:37.326Z] The best model improves the baseline by 14.52%. [2025-09-03T22:50:37.652Z] Top recommended movies for user id 72: [2025-09-03T22:50:37.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:50:37.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:50:37.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:50:37.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:50:37.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:50:37.652Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44965.589 ms) ====== [2025-09-03T22:50:37.652Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-03T22:50:37.983Z] GC before operation: completed in 108.832 ms, heap usage 443.055 MB -> 90.860 MB. [2025-09-03T22:50:45.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:50:52.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:50:59.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:51:06.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:51:10.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:51:14.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:51:19.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:51:22.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:51:22.875Z] 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. [2025-09-03T22:51:22.875Z] The best model improves the baseline by 14.52%. [2025-09-03T22:51:23.210Z] Top recommended movies for user id 72: [2025-09-03T22:51:23.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:51:23.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:51:23.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:51:23.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:51:23.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:51:23.210Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45353.872 ms) ====== [2025-09-03T22:51:23.210Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-03T22:51:23.210Z] GC before operation: completed in 107.304 ms, heap usage 307.698 MB -> 90.562 MB. [2025-09-03T22:51:30.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:51:37.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:51:44.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:51:51.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:51:55.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:51:59.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:52:04.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:52:08.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:52:08.028Z] 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. [2025-09-03T22:52:08.028Z] The best model improves the baseline by 14.52%. [2025-09-03T22:52:08.351Z] Top recommended movies for user id 72: [2025-09-03T22:52:08.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:52:08.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:52:08.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:52:08.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:52:08.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:52:08.351Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45064.455 ms) ====== [2025-09-03T22:52:08.351Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-03T22:52:08.351Z] GC before operation: completed in 105.392 ms, heap usage 189.353 MB -> 90.684 MB. [2025-09-03T22:52:15.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:52:22.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:52:31.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:52:36.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:52:41.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:52:45.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:52:49.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:52:54.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:52:54.455Z] 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. [2025-09-03T22:52:54.851Z] The best model improves the baseline by 14.52%. [2025-09-03T22:52:54.851Z] Top recommended movies for user id 72: [2025-09-03T22:52:54.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:52:54.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:52:54.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:52:54.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:52:54.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:52:54.851Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46471.667 ms) ====== [2025-09-03T22:52:54.851Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-03T22:52:55.184Z] GC before operation: completed in 115.080 ms, heap usage 175.326 MB -> 90.477 MB. [2025-09-03T22:53:02.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:53:09.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:53:18.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:53:23.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:53:28.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:53:32.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:53:35.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:53:39.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:53:40.230Z] 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. [2025-09-03T22:53:40.230Z] The best model improves the baseline by 14.52%. [2025-09-03T22:53:40.561Z] Top recommended movies for user id 72: [2025-09-03T22:53:40.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:53:40.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:53:40.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:53:40.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:53:40.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:53:40.561Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45255.654 ms) ====== [2025-09-03T22:53:40.561Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-03T22:53:40.561Z] GC before operation: completed in 109.287 ms, heap usage 519.332 MB -> 91.042 MB. [2025-09-03T22:53:47.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:53:54.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:54:01.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:54:08.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:54:12.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:54:16.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:54:20.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:54:24.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:54:24.830Z] 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. [2025-09-03T22:54:24.830Z] The best model improves the baseline by 14.52%. [2025-09-03T22:54:25.154Z] Top recommended movies for user id 72: [2025-09-03T22:54:25.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:54:25.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:54:25.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:54:25.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:54:25.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:54:25.154Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44712.280 ms) ====== [2025-09-03T22:54:25.154Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-03T22:54:25.154Z] GC before operation: completed in 109.093 ms, heap usage 307.597 MB -> 90.567 MB. [2025-09-03T22:54:32.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:54:39.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:54:46.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:54:53.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:54:57.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:55:00.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:55:05.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:55:09.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:55:09.737Z] 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. [2025-09-03T22:55:09.737Z] The best model improves the baseline by 14.52%. [2025-09-03T22:55:10.082Z] Top recommended movies for user id 72: [2025-09-03T22:55:10.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:55:10.082Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:55:10.082Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:55:10.082Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:55:10.082Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:55:10.082Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44744.233 ms) ====== [2025-09-03T22:55:10.082Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-03T22:55:10.082Z] GC before operation: completed in 104.034 ms, heap usage 118.082 MB -> 90.547 MB. [2025-09-03T22:55:17.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:55:24.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:55:31.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:55:38.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:55:42.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:55:45.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:55:50.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:55:55.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:55:55.030Z] 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. [2025-09-03T22:55:55.030Z] The best model improves the baseline by 14.52%. [2025-09-03T22:55:55.030Z] Top recommended movies for user id 72: [2025-09-03T22:55:55.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-03T22:55:55.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-03T22:55:55.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-03T22:55:55.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-03T22:55:55.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-03T22:55:55.030Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44977.186 ms) ====== [2025-09-03T22:55:55.710Z] ----------------------------------- [2025-09-03T22:55:55.710Z] renaissance-movie-lens_0_PASSED [2025-09-03T22:55:55.710Z] ----------------------------------- [2025-09-03T22:55:56.026Z] [2025-09-03T22:55:56.026Z] TEST TEARDOWN: [2025-09-03T22:55:56.026Z] Nothing to be done for teardown. [2025-09-03T22:55:56.333Z] renaissance-movie-lens_0 Finish Time: Wed Sep 3 22:55:56 2025 Epoch Time (ms): 1756940156192