[2026-01-10T04:36:33.439Z] Running test renaissance-movie-lens_0 ... [2026-01-10T04:36:33.439Z] =============================================== [2026-01-10T04:36:33.439Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 04:36:32 2026 Epoch Time (ms): 1768019792488 [2026-01-10T04:36:33.439Z] variation: NoOptions [2026-01-10T04:36:33.439Z] JVM_OPTIONS: [2026-01-10T04:36:33.439Z] { \ [2026-01-10T04:36:33.439Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T04:36:33.439Z] echo "Nothing to be done for setup."; \ [2026-01-10T04:36:33.439Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17680178317920/renaissance-movie-lens_0"; \ [2026-01-10T04:36:33.439Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17680178317920/renaissance-movie-lens_0"; \ [2026-01-10T04:36:33.439Z] echo ""; echo "TESTING:"; \ [2026-01-10T04:36:33.439Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17680178317920/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T04:36:33.439Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17680178317920/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T04:36:33.439Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T04:36:33.439Z] echo "Nothing to be done for teardown."; \ [2026-01-10T04:36:33.439Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17680178317920/TestTargetResult"; [2026-01-10T04:36:33.439Z] [2026-01-10T04:36:33.439Z] TEST SETUP: [2026-01-10T04:36:33.439Z] Nothing to be done for setup. [2026-01-10T04:36:33.439Z] [2026-01-10T04:36:33.439Z] TESTING: [2026-01-10T04:36:47.091Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T04:37:08.549Z] 04:37:06.808 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T04:37:14.027Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T04:37:16.002Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T04:37:16.002Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T04:37:16.002Z] GC before operation: completed in 289.286 ms, heap usage 311.417 MB -> 76.070 MB. [2026-01-10T04:37:40.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:37:49.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:37:57.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:38:04.366Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:38:08.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:38:12.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:38:15.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:38:20.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:38:21.178Z] 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. [2026-01-10T04:38:21.178Z] The best model improves the baseline by 14.52%. [2026-01-10T04:38:21.178Z] Top recommended movies for user id 72: [2026-01-10T04:38:21.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:38:21.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:38:21.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:38:21.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:38:21.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:38:21.178Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65493.575 ms) ====== [2026-01-10T04:38:21.178Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T04:38:22.202Z] GC before operation: completed in 273.414 ms, heap usage 616.901 MB -> 97.166 MB. [2026-01-10T04:38:29.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:38:34.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:38:40.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:38:46.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:38:49.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:38:52.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:38:57.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:39:00.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:39:00.524Z] 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. [2026-01-10T04:39:00.524Z] The best model improves the baseline by 14.52%. [2026-01-10T04:39:01.478Z] Top recommended movies for user id 72: [2026-01-10T04:39:01.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:39:01.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:39:01.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:39:01.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:39:01.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:39:01.478Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (39529.246 ms) ====== [2026-01-10T04:39:01.478Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T04:39:01.478Z] GC before operation: completed in 258.787 ms, heap usage 628.270 MB -> 92.574 MB. [2026-01-10T04:39:08.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:39:15.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:39:20.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:39:25.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:39:28.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:39:32.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:39:35.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:39:39.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:39:39.982Z] 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. [2026-01-10T04:39:39.982Z] The best model improves the baseline by 14.52%. [2026-01-10T04:39:39.982Z] Top recommended movies for user id 72: [2026-01-10T04:39:39.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:39:39.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:39:39.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:39:39.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:39:39.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:39:39.982Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38367.895 ms) ====== [2026-01-10T04:39:39.982Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T04:39:39.982Z] GC before operation: completed in 236.304 ms, heap usage 341.133 MB -> 92.869 MB. [2026-01-10T04:39:45.397Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:39:50.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:39:56.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:40:01.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:40:05.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:40:09.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:40:12.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:40:15.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:40:16.162Z] 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. [2026-01-10T04:40:16.162Z] The best model improves the baseline by 14.52%. [2026-01-10T04:40:16.162Z] Top recommended movies for user id 72: [2026-01-10T04:40:16.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:40:16.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:40:16.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:40:16.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:40:16.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:40:16.162Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36140.809 ms) ====== [2026-01-10T04:40:16.162Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T04:40:16.162Z] GC before operation: completed in 269.843 ms, heap usage 242.425 MB -> 94.439 MB. [2026-01-10T04:40:22.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:40:28.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:40:35.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:40:40.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:40:43.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:40:48.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:40:51.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:40:56.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:40:56.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T04:40:56.183Z] The best model improves the baseline by 14.52%. [2026-01-10T04:40:56.183Z] Top recommended movies for user id 72: [2026-01-10T04:40:56.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:40:56.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:40:56.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:40:56.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:40:56.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:40:56.183Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (39356.869 ms) ====== [2026-01-10T04:40:56.183Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T04:40:56.183Z] GC before operation: completed in 392.648 ms, heap usage 214.127 MB -> 92.880 MB. [2026-01-10T04:41:01.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:41:07.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:41:12.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:41:17.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:41:21.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:41:24.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:41:27.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:41:30.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:41:31.261Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T04:41:31.261Z] The best model improves the baseline by 14.52%. [2026-01-10T04:41:31.261Z] Top recommended movies for user id 72: [2026-01-10T04:41:31.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:41:31.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:41:31.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:41:31.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:41:31.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:41:31.262Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35109.894 ms) ====== [2026-01-10T04:41:31.262Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T04:41:31.262Z] GC before operation: completed in 320.884 ms, heap usage 126.906 MB -> 94.174 MB. [2026-01-10T04:41:36.747Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:41:42.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:41:47.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:41:53.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:41:57.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:42:00.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:42:03.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:42:06.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:42:07.510Z] 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. [2026-01-10T04:42:07.510Z] The best model improves the baseline by 14.52%. [2026-01-10T04:42:07.510Z] Top recommended movies for user id 72: [2026-01-10T04:42:07.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:42:07.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:42:07.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:42:07.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:42:07.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:42:07.510Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36072.636 ms) ====== [2026-01-10T04:42:07.510Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T04:42:08.486Z] GC before operation: completed in 279.097 ms, heap usage 495.521 MB -> 90.377 MB. [2026-01-10T04:42:13.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:42:20.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:42:26.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:42:31.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:42:35.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:42:38.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:42:41.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:42:44.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:42:45.520Z] 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. [2026-01-10T04:42:45.520Z] The best model improves the baseline by 14.52%. [2026-01-10T04:42:45.520Z] Top recommended movies for user id 72: [2026-01-10T04:42:45.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:42:45.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:42:45.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:42:45.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:42:45.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:42:45.520Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37512.318 ms) ====== [2026-01-10T04:42:45.520Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T04:42:45.520Z] GC before operation: completed in 318.184 ms, heap usage 230.089 MB -> 90.234 MB. [2026-01-10T04:42:52.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:42:56.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:43:02.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:43:07.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:43:10.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:43:13.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:43:16.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:43:19.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:43:19.770Z] 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. [2026-01-10T04:43:20.730Z] The best model improves the baseline by 14.52%. [2026-01-10T04:43:20.730Z] Top recommended movies for user id 72: [2026-01-10T04:43:20.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:43:20.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:43:20.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:43:20.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:43:20.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:43:20.730Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34850.668 ms) ====== [2026-01-10T04:43:20.730Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T04:43:20.730Z] GC before operation: completed in 373.254 ms, heap usage 679.071 MB -> 94.014 MB. [2026-01-10T04:43:27.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:43:31.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:43:37.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:43:43.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:43:45.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:43:49.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:43:52.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:43:55.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:43:56.594Z] 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. [2026-01-10T04:43:56.594Z] The best model improves the baseline by 14.52%. [2026-01-10T04:43:56.594Z] Top recommended movies for user id 72: [2026-01-10T04:43:56.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:43:56.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:43:56.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:43:56.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:43:56.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:43:56.594Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35787.765 ms) ====== [2026-01-10T04:43:56.594Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T04:43:57.734Z] GC before operation: completed in 299.346 ms, heap usage 495.141 MB -> 93.099 MB. [2026-01-10T04:44:04.565Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:44:10.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:44:15.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:44:20.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:44:23.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:44:27.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:44:31.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:44:34.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:44:34.268Z] 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. [2026-01-10T04:44:34.268Z] The best model improves the baseline by 14.52%. [2026-01-10T04:44:35.251Z] Top recommended movies for user id 72: [2026-01-10T04:44:35.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:44:35.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:44:35.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:44:35.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:44:35.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:44:35.251Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37720.908 ms) ====== [2026-01-10T04:44:35.251Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T04:44:35.251Z] GC before operation: completed in 279.548 ms, heap usage 476.133 MB -> 92.256 MB. [2026-01-10T04:44:42.108Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:44:47.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:44:53.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:44:58.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:45:01.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:45:04.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:45:07.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:45:10.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:45:11.755Z] 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. [2026-01-10T04:45:11.755Z] The best model improves the baseline by 14.52%. [2026-01-10T04:45:11.755Z] Top recommended movies for user id 72: [2026-01-10T04:45:11.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:45:11.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:45:11.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:45:11.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:45:11.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:45:11.755Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (36512.187 ms) ====== [2026-01-10T04:45:11.755Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T04:45:11.755Z] GC before operation: completed in 410.810 ms, heap usage 479.118 MB -> 91.864 MB. [2026-01-10T04:45:18.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:45:24.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:45:29.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:45:35.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:45:38.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:45:42.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:45:46.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:45:50.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:45:50.732Z] 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. [2026-01-10T04:45:50.732Z] The best model improves the baseline by 14.52%. [2026-01-10T04:45:50.732Z] Top recommended movies for user id 72: [2026-01-10T04:45:50.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:45:50.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:45:50.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:45:50.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:45:50.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:45:50.732Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (39022.732 ms) ====== [2026-01-10T04:45:50.732Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T04:45:51.706Z] GC before operation: completed in 449.580 ms, heap usage 532.693 MB -> 94.027 MB. [2026-01-10T04:45:58.612Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:46:02.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:46:09.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:46:13.909Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:46:16.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:46:20.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:46:23.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:46:26.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:46:27.823Z] 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. [2026-01-10T04:46:27.823Z] The best model improves the baseline by 14.52%. [2026-01-10T04:46:27.823Z] Top recommended movies for user id 72: [2026-01-10T04:46:27.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:46:27.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:46:27.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:46:27.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:46:27.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:46:27.823Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36271.064 ms) ====== [2026-01-10T04:46:27.823Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T04:46:27.823Z] GC before operation: completed in 273.820 ms, heap usage 295.900 MB -> 90.328 MB. [2026-01-10T04:46:34.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:46:39.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:46:45.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:46:50.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:46:54.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:46:56.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:46:59.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:47:03.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:47:03.607Z] 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. [2026-01-10T04:47:03.607Z] The best model improves the baseline by 14.52%. [2026-01-10T04:47:04.594Z] Top recommended movies for user id 72: [2026-01-10T04:47:04.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:47:04.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:47:04.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:47:04.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:47:04.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:47:04.594Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35973.671 ms) ====== [2026-01-10T04:47:04.594Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T04:47:04.594Z] GC before operation: completed in 322.803 ms, heap usage 498.241 MB -> 90.874 MB. [2026-01-10T04:47:10.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:47:15.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:47:20.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:47:26.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:47:29.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:47:32.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:47:35.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:47:38.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:47:39.790Z] 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. [2026-01-10T04:47:39.790Z] The best model improves the baseline by 14.52%. [2026-01-10T04:47:39.790Z] Top recommended movies for user id 72: [2026-01-10T04:47:39.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:47:39.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:47:39.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:47:39.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:47:39.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:47:39.790Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35392.941 ms) ====== [2026-01-10T04:47:39.790Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T04:47:39.790Z] GC before operation: completed in 296.352 ms, heap usage 258.930 MB -> 90.447 MB. [2026-01-10T04:47:45.220Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:47:51.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:47:56.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:48:01.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:48:04.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:48:07.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:48:12.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:48:15.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:48:15.204Z] 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. [2026-01-10T04:48:15.204Z] The best model improves the baseline by 14.52%. [2026-01-10T04:48:15.204Z] Top recommended movies for user id 72: [2026-01-10T04:48:15.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:48:15.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:48:15.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:48:15.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:48:15.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:48:15.204Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35435.114 ms) ====== [2026-01-10T04:48:15.204Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T04:48:16.168Z] GC before operation: completed in 353.922 ms, heap usage 523.483 MB -> 90.932 MB. [2026-01-10T04:48:24.384Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:48:28.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:48:35.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:48:40.770Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:48:43.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:48:47.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:48:50.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:48:53.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:48:53.781Z] 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. [2026-01-10T04:48:53.781Z] The best model improves the baseline by 14.52%. [2026-01-10T04:48:54.751Z] Top recommended movies for user id 72: [2026-01-10T04:48:54.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:48:54.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:48:54.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:48:54.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:48:54.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:48:54.751Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (38500.572 ms) ====== [2026-01-10T04:48:54.751Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T04:48:54.751Z] GC before operation: completed in 343.831 ms, heap usage 215.892 MB -> 95.141 MB. [2026-01-10T04:49:00.374Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:49:05.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:49:11.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:49:15.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:49:18.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:49:21.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:49:24.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:49:27.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:49:28.639Z] 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. [2026-01-10T04:49:28.639Z] The best model improves the baseline by 14.52%. [2026-01-10T04:49:28.639Z] Top recommended movies for user id 72: [2026-01-10T04:49:28.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:49:28.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:49:28.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:49:28.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:49:28.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:49:28.639Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (33803.970 ms) ====== [2026-01-10T04:49:28.639Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T04:49:28.639Z] GC before operation: completed in 298.839 ms, heap usage 363.276 MB -> 92.765 MB. [2026-01-10T04:49:34.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T04:49:39.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T04:49:43.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T04:49:47.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T04:49:50.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T04:49:54.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T04:49:57.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T04:50:00.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T04:50:00.843Z] 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. [2026-01-10T04:50:00.843Z] The best model improves the baseline by 14.52%. [2026-01-10T04:50:01.804Z] Top recommended movies for user id 72: [2026-01-10T04:50:01.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T04:50:01.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T04:50:01.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T04:50:01.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T04:50:01.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T04:50:01.804Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32686.434 ms) ====== [2026-01-10T04:50:03.778Z] ----------------------------------- [2026-01-10T04:50:03.778Z] renaissance-movie-lens_0_PASSED [2026-01-10T04:50:03.778Z] ----------------------------------- [2026-01-10T04:50:03.778Z] [2026-01-10T04:50:03.778Z] TEST TEARDOWN: [2026-01-10T04:50:03.778Z] Nothing to be done for teardown. [2026-01-10T04:50:03.778Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 04:50:02 2026 Epoch Time (ms): 1768020602749