[2025-08-28T22:08:42.760Z] Running test renaissance-movie-lens_0 ... [2025-08-28T22:08:42.761Z] =============================================== [2025-08-28T22:08:42.761Z] renaissance-movie-lens_0 Start Time: Thu Aug 28 22:08:42 2025 Epoch Time (ms): 1756418922569 [2025-08-28T22:08:42.761Z] variation: NoOptions [2025-08-28T22:08:42.761Z] JVM_OPTIONS: [2025-08-28T22:08:42.761Z] { \ [2025-08-28T22:08:42.761Z] echo ""; echo "TEST SETUP:"; \ [2025-08-28T22:08:42.761Z] echo "Nothing to be done for setup."; \ [2025-08-28T22:08:42.761Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17564170007691/renaissance-movie-lens_0"; \ [2025-08-28T22:08:42.761Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17564170007691/renaissance-movie-lens_0"; \ [2025-08-28T22:08:42.761Z] echo ""; echo "TESTING:"; \ [2025-08-28T22:08:42.761Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17564170007691/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-28T22:08:42.761Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17564170007691/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-28T22:08:42.761Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-28T22:08:42.761Z] echo "Nothing to be done for teardown."; \ [2025-08-28T22:08:42.761Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17564170007691/TestTargetResult"; [2025-08-28T22:08:42.761Z] [2025-08-28T22:08:42.761Z] TEST SETUP: [2025-08-28T22:08:42.761Z] Nothing to be done for setup. [2025-08-28T22:08:42.761Z] [2025-08-28T22:08:42.761Z] TESTING: [2025-08-28T22:08:56.435Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-28T22:09:18.368Z] 22:09:17.631 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-28T22:09:24.479Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-28T22:09:25.309Z] Training: 60056, validation: 20285, test: 19854 [2025-08-28T22:09:25.309Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-28T22:09:25.309Z] GC before operation: completed in 414.098 ms, heap usage 306.474 MB -> 74.488 MB. [2025-08-28T22:09:51.037Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:10:02.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:10:14.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:10:26.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:10:31.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:10:38.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:10:43.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:10:49.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:10:49.556Z] 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. [2025-08-28T22:10:50.341Z] The best model improves the baseline by 14.52%. [2025-08-28T22:10:50.341Z] Top recommended movies for user id 72: [2025-08-28T22:10:50.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:10:50.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:10:50.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:10:50.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:10:50.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:10:50.341Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (85595.600 ms) ====== [2025-08-28T22:10:50.341Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-28T22:10:51.110Z] GC before operation: completed in 463.967 ms, heap usage 119.387 MB -> 85.232 MB. [2025-08-28T22:11:02.816Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:11:11.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:11:19.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:11:27.928Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:11:33.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:11:38.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:11:44.143Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:11:48.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:11:49.577Z] 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. [2025-08-28T22:11:49.577Z] The best model improves the baseline by 14.52%. [2025-08-28T22:11:49.577Z] Top recommended movies for user id 72: [2025-08-28T22:11:49.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:11:49.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:11:49.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:11:49.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:11:49.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:11:49.577Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (58605.630 ms) ====== [2025-08-28T22:11:49.577Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-28T22:11:50.353Z] GC before operation: completed in 481.255 ms, heap usage 140.226 MB -> 87.330 MB. [2025-08-28T22:11:58.631Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:12:06.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:12:15.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:12:23.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:12:28.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:12:32.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:12:38.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:12:42.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:12:42.826Z] 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. [2025-08-28T22:12:43.601Z] The best model improves the baseline by 14.52%. [2025-08-28T22:12:43.601Z] Top recommended movies for user id 72: [2025-08-28T22:12:43.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:12:43.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:12:43.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:12:43.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:12:43.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:12:43.601Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (53399.226 ms) ====== [2025-08-28T22:12:43.601Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-28T22:12:44.358Z] GC before operation: completed in 433.699 ms, heap usage 294.053 MB -> 88.169 MB. [2025-08-28T22:12:51.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:12:59.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:13:09.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:13:18.712Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:13:23.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:13:28.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:13:33.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:13:37.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:13:38.581Z] 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. [2025-08-28T22:13:38.581Z] The best model improves the baseline by 14.52%. [2025-08-28T22:13:39.345Z] Top recommended movies for user id 72: [2025-08-28T22:13:39.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:13:39.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:13:39.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:13:39.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:13:39.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:13:39.345Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55374.534 ms) ====== [2025-08-28T22:13:39.345Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-28T22:13:40.120Z] GC before operation: completed in 435.072 ms, heap usage 261.507 MB -> 88.404 MB. [2025-08-28T22:13:48.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:13:56.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:14:05.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:14:13.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:14:18.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:14:22.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:14:28.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:14:32.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:14:33.469Z] 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. [2025-08-28T22:14:34.236Z] The best model improves the baseline by 14.52%. [2025-08-28T22:14:34.236Z] Top recommended movies for user id 72: [2025-08-28T22:14:34.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:14:34.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:14:34.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:14:34.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:14:34.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:14:34.236Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54485.617 ms) ====== [2025-08-28T22:14:34.236Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-28T22:14:35.016Z] GC before operation: completed in 421.390 ms, heap usage 188.271 MB -> 88.267 MB. [2025-08-28T22:14:41.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:14:50.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:14:58.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:15:04.614Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:15:09.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:15:13.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:15:18.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:15:23.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:15:23.720Z] 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. [2025-08-28T22:15:23.720Z] The best model improves the baseline by 14.52%. [2025-08-28T22:15:24.575Z] Top recommended movies for user id 72: [2025-08-28T22:15:24.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:15:24.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:15:24.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:15:24.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:15:24.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:15:24.575Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (49313.599 ms) ====== [2025-08-28T22:15:24.575Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-28T22:15:24.575Z] GC before operation: completed in 406.162 ms, heap usage 323.388 MB -> 88.752 MB. [2025-08-28T22:15:34.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:15:41.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:15:50.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:15:57.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:16:01.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:16:05.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:16:10.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:16:14.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:16:14.926Z] 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. [2025-08-28T22:16:14.926Z] The best model improves the baseline by 14.52%. [2025-08-28T22:16:15.688Z] Top recommended movies for user id 72: [2025-08-28T22:16:15.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:16:15.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:16:15.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:16:15.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:16:15.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:16:15.688Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50886.887 ms) ====== [2025-08-28T22:16:15.688Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-28T22:16:15.688Z] GC before operation: completed in 464.095 ms, heap usage 401.868 MB -> 88.981 MB. [2025-08-28T22:16:22.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:16:29.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:16:37.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:16:43.517Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:16:47.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:16:52.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:16:57.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:17:01.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:17:02.413Z] 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. [2025-08-28T22:17:02.413Z] The best model improves the baseline by 14.52%. [2025-08-28T22:17:02.413Z] Top recommended movies for user id 72: [2025-08-28T22:17:02.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:17:02.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:17:02.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:17:02.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:17:02.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:17:02.413Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46860.110 ms) ====== [2025-08-28T22:17:02.413Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-28T22:17:03.193Z] GC before operation: completed in 321.532 ms, heap usage 212.061 MB -> 88.779 MB. [2025-08-28T22:17:11.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:17:21.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:17:31.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:17:37.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:17:43.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:17:48.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:17:53.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:17:58.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:17:58.935Z] 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. [2025-08-28T22:17:58.936Z] The best model improves the baseline by 14.52%. [2025-08-28T22:17:59.701Z] Top recommended movies for user id 72: [2025-08-28T22:17:59.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:17:59.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:17:59.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:17:59.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:17:59.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:17:59.701Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (56362.794 ms) ====== [2025-08-28T22:17:59.701Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-28T22:17:59.701Z] GC before operation: completed in 416.973 ms, heap usage 196.031 MB -> 88.629 MB. [2025-08-28T22:18:07.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:18:14.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:18:23.236Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:18:31.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:18:36.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:18:41.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:18:46.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:18:50.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:18:52.318Z] 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. [2025-08-28T22:18:52.319Z] The best model improves the baseline by 14.52%. [2025-08-28T22:18:52.319Z] Top recommended movies for user id 72: [2025-08-28T22:18:52.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:18:52.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:18:52.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:18:52.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:18:52.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:18:52.319Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (52598.791 ms) ====== [2025-08-28T22:18:52.319Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-28T22:18:53.087Z] GC before operation: completed in 362.622 ms, heap usage 170.350 MB -> 88.835 MB. [2025-08-28T22:18:59.952Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:19:08.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:19:16.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:19:24.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:19:28.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:19:34.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:19:39.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:19:45.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:19:45.514Z] 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. [2025-08-28T22:19:45.514Z] The best model improves the baseline by 14.52%. [2025-08-28T22:19:46.287Z] Top recommended movies for user id 72: [2025-08-28T22:19:46.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:19:46.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:19:46.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:19:46.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:19:46.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:19:46.287Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (53076.717 ms) ====== [2025-08-28T22:19:46.287Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-28T22:19:46.287Z] GC before operation: completed in 502.750 ms, heap usage 115.545 MB -> 88.444 MB. [2025-08-28T22:19:54.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:20:01.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:20:08.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:20:15.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:20:19.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:20:25.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:20:29.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:20:35.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:20:35.475Z] 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. [2025-08-28T22:20:35.475Z] The best model improves the baseline by 14.52%. [2025-08-28T22:20:36.242Z] Top recommended movies for user id 72: [2025-08-28T22:20:36.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:20:36.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:20:36.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:20:36.242Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:20:36.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:20:36.242Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49674.587 ms) ====== [2025-08-28T22:20:36.242Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-28T22:20:36.242Z] GC before operation: completed in 344.788 ms, heap usage 359.152 MB -> 88.919 MB. [2025-08-28T22:20:44.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:20:51.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:20:58.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:21:05.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:21:11.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:21:14.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:21:20.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:21:23.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:21:24.726Z] 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. [2025-08-28T22:21:24.726Z] The best model improves the baseline by 14.52%. [2025-08-28T22:21:25.511Z] Top recommended movies for user id 72: [2025-08-28T22:21:25.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:21:25.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:21:25.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:21:25.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:21:25.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:21:25.511Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48704.077 ms) ====== [2025-08-28T22:21:25.511Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-28T22:21:25.511Z] GC before operation: completed in 395.770 ms, heap usage 240.581 MB -> 89.069 MB. [2025-08-28T22:21:33.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:21:40.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:21:49.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:21:55.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:21:59.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:22:04.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:22:08.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:22:12.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:22:12.864Z] 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. [2025-08-28T22:22:12.864Z] The best model improves the baseline by 14.52%. [2025-08-28T22:22:12.864Z] Top recommended movies for user id 72: [2025-08-28T22:22:12.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:22:12.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:22:12.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:22:12.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:22:12.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:22:12.864Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47590.272 ms) ====== [2025-08-28T22:22:12.864Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-28T22:22:13.623Z] GC before operation: completed in 356.533 ms, heap usage 213.378 MB -> 88.734 MB. [2025-08-28T22:22:20.440Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:22:27.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:22:35.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:22:43.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:22:47.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:22:51.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:22:56.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:23:00.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:23:01.620Z] 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. [2025-08-28T22:23:01.620Z] The best model improves the baseline by 14.52%. [2025-08-28T22:23:01.620Z] Top recommended movies for user id 72: [2025-08-28T22:23:01.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:23:01.620Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:23:01.620Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:23:01.620Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:23:01.620Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:23:01.620Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48330.395 ms) ====== [2025-08-28T22:23:01.620Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-28T22:23:02.388Z] GC before operation: completed in 328.371 ms, heap usage 109.473 MB -> 88.839 MB. [2025-08-28T22:23:09.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:23:16.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:23:24.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:23:30.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:23:34.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:23:38.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:23:44.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:23:48.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:23:49.371Z] 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. [2025-08-28T22:23:49.371Z] The best model improves the baseline by 14.52%. [2025-08-28T22:23:49.371Z] Top recommended movies for user id 72: [2025-08-28T22:23:49.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:23:49.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:23:49.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:23:49.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:23:49.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:23:49.371Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (47263.151 ms) ====== [2025-08-28T22:23:49.371Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-28T22:23:50.136Z] GC before operation: completed in 354.201 ms, heap usage 212.673 MB -> 88.784 MB. [2025-08-28T22:23:57.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:24:03.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:24:10.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:24:16.241Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:24:20.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:24:24.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:24:28.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:24:33.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:24:34.030Z] 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. [2025-08-28T22:24:34.794Z] The best model improves the baseline by 14.52%. [2025-08-28T22:24:34.794Z] Top recommended movies for user id 72: [2025-08-28T22:24:34.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:24:34.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:24:34.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:24:34.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:24:34.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:24:34.794Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45177.702 ms) ====== [2025-08-28T22:24:34.794Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-28T22:24:35.559Z] GC before operation: completed in 383.879 ms, heap usage 191.942 MB -> 88.853 MB. [2025-08-28T22:24:42.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:24:49.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:24:56.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:25:02.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:25:06.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:25:11.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:25:15.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:25:19.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:25:19.980Z] 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. [2025-08-28T22:25:19.980Z] The best model improves the baseline by 14.52%. [2025-08-28T22:25:20.740Z] Top recommended movies for user id 72: [2025-08-28T22:25:20.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:25:20.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:25:20.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:25:20.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:25:20.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:25:20.740Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45304.585 ms) ====== [2025-08-28T22:25:20.740Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-28T22:25:20.740Z] GC before operation: completed in 331.514 ms, heap usage 114.877 MB -> 88.611 MB. [2025-08-28T22:25:27.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:25:34.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:25:41.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:25:48.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:25:52.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:25:57.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:26:01.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:26:06.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:26:06.389Z] 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. [2025-08-28T22:26:06.389Z] The best model improves the baseline by 14.52%. [2025-08-28T22:26:07.166Z] Top recommended movies for user id 72: [2025-08-28T22:26:07.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:26:07.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:26:07.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:26:07.166Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:26:07.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:26:07.166Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46092.237 ms) ====== [2025-08-28T22:26:07.166Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-28T22:26:07.166Z] GC before operation: completed in 387.110 ms, heap usage 181.351 MB -> 88.803 MB. [2025-08-28T22:26:14.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T22:26:20.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T22:26:29.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T22:26:36.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T22:26:39.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T22:26:43.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T22:26:49.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T22:26:51.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T22:26:52.392Z] 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. [2025-08-28T22:26:52.392Z] The best model improves the baseline by 14.52%. [2025-08-28T22:26:53.152Z] Top recommended movies for user id 72: [2025-08-28T22:26:53.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T22:26:53.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T22:26:53.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T22:26:53.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T22:26:53.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T22:26:53.152Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45485.781 ms) ====== [2025-08-28T22:26:53.915Z] ----------------------------------- [2025-08-28T22:26:53.915Z] renaissance-movie-lens_0_PASSED [2025-08-28T22:26:53.915Z] ----------------------------------- [2025-08-28T22:26:53.915Z] [2025-08-28T22:26:53.915Z] TEST TEARDOWN: [2025-08-28T22:26:53.915Z] Nothing to be done for teardown. [2025-08-28T22:26:53.915Z] renaissance-movie-lens_0 Finish Time: Thu Aug 28 22:26:53 2025 Epoch Time (ms): 1756420013459