[2025-10-03T21:19:47.564Z] Running test renaissance-movie-lens_0 ... [2025-10-03T21:19:47.564Z] =============================================== [2025-10-03T21:19:47.564Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 21:19:46 2025 Epoch Time (ms): 1759526386780 [2025-10-03T21:19:47.564Z] variation: NoOptions [2025-10-03T21:19:47.564Z] JVM_OPTIONS: [2025-10-03T21:19:47.564Z] { \ [2025-10-03T21:19:47.564Z] echo ""; echo "TEST SETUP:"; \ [2025-10-03T21:19:47.564Z] echo "Nothing to be done for setup."; \ [2025-10-03T21:19:47.564Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17595249389101/renaissance-movie-lens_0"; \ [2025-10-03T21:19:47.564Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17595249389101/renaissance-movie-lens_0"; \ [2025-10-03T21:19:47.564Z] echo ""; echo "TESTING:"; \ [2025-10-03T21:19:47.564Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17595249389101/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-03T21:19:47.564Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17595249389101/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-03T21:19:47.564Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-03T21:19:47.564Z] echo "Nothing to be done for teardown."; \ [2025-10-03T21:19:47.564Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17595249389101/TestTargetResult"; [2025-10-03T21:19:47.564Z] [2025-10-03T21:19:47.564Z] TEST SETUP: [2025-10-03T21:19:47.564Z] Nothing to be done for setup. [2025-10-03T21:19:47.564Z] [2025-10-03T21:19:47.564Z] TESTING: [2025-10-03T21:19:54.293Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-03T21:20:03.227Z] 21:20:01.885 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. [2025-10-03T21:20:05.197Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-03T21:20:06.161Z] Training: 60056, validation: 20285, test: 19854 [2025-10-03T21:20:06.161Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-03T21:20:06.161Z] GC before operation: completed in 194.257 ms, heap usage 252.067 MB -> 76.135 MB. [2025-10-03T21:20:13.000Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:20:17.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:20:20.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:20:23.407Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:20:25.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:20:27.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:20:29.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:20:31.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:20:32.263Z] 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. [2025-10-03T21:20:32.263Z] The best model improves the baseline by 14.52%. [2025-10-03T21:20:32.263Z] Top recommended movies for user id 72: [2025-10-03T21:20:32.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:20:32.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:20:32.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:20:32.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:20:32.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:20:32.263Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26600.253 ms) ====== [2025-10-03T21:20:32.263Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-03T21:20:32.263Z] GC before operation: completed in 141.044 ms, heap usage 339.698 MB -> 88.278 MB. [2025-10-03T21:20:35.304Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:20:38.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:20:41.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:20:44.615Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:20:46.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:20:48.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:20:50.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:20:51.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:20:52.460Z] 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. [2025-10-03T21:20:52.460Z] The best model improves the baseline by 14.52%. [2025-10-03T21:20:52.460Z] Top recommended movies for user id 72: [2025-10-03T21:20:52.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:20:52.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:20:52.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:20:52.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:20:52.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:20:52.460Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19936.475 ms) ====== [2025-10-03T21:20:52.460Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-03T21:20:52.460Z] GC before operation: completed in 188.721 ms, heap usage 129.760 MB -> 88.906 MB. [2025-10-03T21:20:55.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:20:58.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:21:02.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:21:04.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:21:06.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:08.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:10.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:21:12.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:21:12.597Z] 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. [2025-10-03T21:21:12.597Z] The best model improves the baseline by 14.52%. [2025-10-03T21:21:13.567Z] Top recommended movies for user id 72: [2025-10-03T21:21:13.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:21:13.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:21:13.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:21:13.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:21:13.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:21:13.567Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20306.413 ms) ====== [2025-10-03T21:21:13.567Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-03T21:21:13.567Z] GC before operation: completed in 184.217 ms, heap usage 120.399 MB -> 89.613 MB. [2025-10-03T21:21:16.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:21:18.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:21:21.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:21:23.317Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:21:25.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:27.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:29.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:21:30.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:21:30.187Z] 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. [2025-10-03T21:21:30.187Z] The best model improves the baseline by 14.52%. [2025-10-03T21:21:31.147Z] Top recommended movies for user id 72: [2025-10-03T21:21:31.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:21:31.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:21:31.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:21:31.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:21:31.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:21:31.147Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17463.080 ms) ====== [2025-10-03T21:21:31.147Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-03T21:21:31.147Z] GC before operation: completed in 132.404 ms, heap usage 535.677 MB -> 93.679 MB. [2025-10-03T21:21:33.120Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:21:36.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:21:38.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:21:41.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:21:42.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:44.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:46.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:21:48.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:21:48.032Z] 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. [2025-10-03T21:21:48.032Z] The best model improves the baseline by 14.52%. [2025-10-03T21:21:48.032Z] Top recommended movies for user id 72: [2025-10-03T21:21:48.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:21:48.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:21:48.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:21:48.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:21:48.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:21:48.032Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17100.475 ms) ====== [2025-10-03T21:21:48.032Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-03T21:21:48.032Z] GC before operation: completed in 141.602 ms, heap usage 602.292 MB -> 93.799 MB. [2025-10-03T21:21:50.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:21:53.041Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:21:55.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:21:56.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:21:58.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:59.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:01.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:02.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:03.800Z] 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. [2025-10-03T21:22:03.800Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:03.800Z] Top recommended movies for user id 72: [2025-10-03T21:22:03.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:03.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:03.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:03.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:03.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:03.800Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15536.728 ms) ====== [2025-10-03T21:22:03.800Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-03T21:22:03.800Z] GC before operation: completed in 145.655 ms, heap usage 161.782 MB -> 90.301 MB. [2025-10-03T21:22:05.775Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:22:08.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:22:11.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:22:13.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:22:15.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:22:17.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:19.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:20.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:21.675Z] 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. [2025-10-03T21:22:21.675Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:21.675Z] Top recommended movies for user id 72: [2025-10-03T21:22:21.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:21.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:21.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:21.675Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:21.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:21.675Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17642.310 ms) ====== [2025-10-03T21:22:21.675Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-03T21:22:21.675Z] GC before operation: completed in 141.459 ms, heap usage 354.278 MB -> 90.503 MB. [2025-10-03T21:22:23.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:22:26.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:22:29.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:22:32.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:22:33.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:22:35.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:37.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:38.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:39.275Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-03T21:22:39.275Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:39.276Z] Top recommended movies for user id 72: [2025-10-03T21:22:39.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:39.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:39.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:39.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:39.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:39.276Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17612.082 ms) ====== [2025-10-03T21:22:39.276Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-03T21:22:39.276Z] GC before operation: completed in 139.615 ms, heap usage 294.255 MB -> 90.605 MB. [2025-10-03T21:22:42.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:22:44.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:22:47.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:22:50.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:22:51.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:22:53.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:54.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:56.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:56.235Z] 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. [2025-10-03T21:22:56.235Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:56.235Z] Top recommended movies for user id 72: [2025-10-03T21:22:56.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:56.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:56.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:56.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:56.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:56.235Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17013.197 ms) ====== [2025-10-03T21:22:56.235Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-03T21:22:56.235Z] GC before operation: completed in 130.215 ms, heap usage 293.967 MB -> 90.468 MB. [2025-10-03T21:22:59.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:01.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:04.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:06.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:08.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:09.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:23:11.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:23:12.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:23:13.091Z] 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. [2025-10-03T21:23:13.091Z] The best model improves the baseline by 14.52%. [2025-10-03T21:23:13.091Z] Top recommended movies for user id 72: [2025-10-03T21:23:13.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:23:13.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:23:13.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:23:13.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:23:13.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:23:13.091Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16398.509 ms) ====== [2025-10-03T21:23:13.091Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-03T21:23:13.091Z] GC before operation: completed in 142.814 ms, heap usage 273.438 MB -> 90.575 MB. [2025-10-03T21:23:15.057Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:18.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:20.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:22.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:24.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:26.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:23:27.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:23:29.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:23:29.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-03T21:23:29.016Z] The best model improves the baseline by 14.52%. [2025-10-03T21:23:29.016Z] Top recommended movies for user id 72: [2025-10-03T21:23:29.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:23:29.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:23:29.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:23:29.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:23:29.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:23:29.016Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16096.744 ms) ====== [2025-10-03T21:23:29.016Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-03T21:23:29.016Z] GC before operation: completed in 140.424 ms, heap usage 223.342 MB -> 90.189 MB. [2025-10-03T21:23:32.055Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:34.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:37.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:39.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:41.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:42.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:23:44.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:23:46.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:23:46.619Z] 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. [2025-10-03T21:23:46.619Z] The best model improves the baseline by 14.52%. [2025-10-03T21:23:47.579Z] Top recommended movies for user id 72: [2025-10-03T21:23:47.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:23:47.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:23:47.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:23:47.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:23:47.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:23:47.579Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17973.371 ms) ====== [2025-10-03T21:23:47.579Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-03T21:23:47.579Z] GC before operation: completed in 137.073 ms, heap usage 182.300 MB -> 90.517 MB. [2025-10-03T21:23:50.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:52.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:55.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:57.610Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:59.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:24:01.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:03.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:04.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:05.438Z] 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. [2025-10-03T21:24:05.438Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:05.438Z] Top recommended movies for user id 72: [2025-10-03T21:24:05.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:05.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:05.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:05.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:05.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:05.438Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17854.459 ms) ====== [2025-10-03T21:24:05.438Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-03T21:24:05.438Z] GC before operation: completed in 139.325 ms, heap usage 504.357 MB -> 91.007 MB. [2025-10-03T21:24:07.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:10.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:13.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:24:15.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:24:16.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:24:18.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:19.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:21.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:21.327Z] 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. [2025-10-03T21:24:21.327Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:21.327Z] Top recommended movies for user id 72: [2025-10-03T21:24:21.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:21.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:21.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:21.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:21.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:21.327Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16157.441 ms) ====== [2025-10-03T21:24:21.327Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-03T21:24:21.327Z] GC before operation: completed in 114.012 ms, heap usage 342.871 MB -> 90.553 MB. [2025-10-03T21:24:24.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:26.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:29.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:24:31.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:24:32.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:24:34.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:35.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:37.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:37.260Z] 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. [2025-10-03T21:24:38.219Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:38.220Z] Top recommended movies for user id 72: [2025-10-03T21:24:38.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:38.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:38.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:38.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:38.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:38.220Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16245.511 ms) ====== [2025-10-03T21:24:38.220Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-03T21:24:38.220Z] GC before operation: completed in 131.087 ms, heap usage 653.884 MB -> 94.451 MB. [2025-10-03T21:24:40.191Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:43.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:45.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:24:47.169Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:24:49.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:24:50.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:51.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:53.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:53.755Z] 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. [2025-10-03T21:24:53.755Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:53.755Z] Top recommended movies for user id 72: [2025-10-03T21:24:53.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:53.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:53.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:53.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:53.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:53.755Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15905.627 ms) ====== [2025-10-03T21:24:53.755Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-03T21:24:53.755Z] GC before operation: completed in 151.824 ms, heap usage 128.613 MB -> 90.411 MB. [2025-10-03T21:24:56.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:58.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:25:01.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:03.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:05.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:07.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:08.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:10.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:10.660Z] 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. [2025-10-03T21:25:10.660Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:10.660Z] Top recommended movies for user id 72: [2025-10-03T21:25:10.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:25:10.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:25:10.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:25:10.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:25:10.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:25:10.660Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16715.848 ms) ====== [2025-10-03T21:25:10.660Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-03T21:25:10.660Z] GC before operation: completed in 130.672 ms, heap usage 416.740 MB -> 90.841 MB. [2025-10-03T21:25:13.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:25:15.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:25:18.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:21.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:22.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:24.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:26.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:27.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:28.559Z] 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. [2025-10-03T21:25:28.559Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:28.559Z] Top recommended movies for user id 72: [2025-10-03T21:25:28.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:25:28.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:25:28.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:25:28.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:25:28.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:25:28.559Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17546.931 ms) ====== [2025-10-03T21:25:28.560Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-03T21:25:28.560Z] GC before operation: completed in 139.300 ms, heap usage 100.600 MB -> 90.242 MB. [2025-10-03T21:25:30.523Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:25:33.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:25:36.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:38.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:40.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:41.708Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:43.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:44.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:44.810Z] 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. [2025-10-03T21:25:44.810Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:45.768Z] Top recommended movies for user id 72: [2025-10-03T21:25:45.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:25:45.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:25:45.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:25:45.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:25:45.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:25:45.768Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16798.155 ms) ====== [2025-10-03T21:25:45.768Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-03T21:25:45.768Z] GC before operation: completed in 134.728 ms, heap usage 535.064 MB -> 94.231 MB. [2025-10-03T21:25:48.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:25:50.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:25:52.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:55.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:57.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:58.721Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:26:00.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:26:03.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:26:03.193Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-03T21:26:03.193Z] The best model improves the baseline by 14.52%. [2025-10-03T21:26:03.193Z] Top recommended movies for user id 72: [2025-10-03T21:26:03.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:26:03.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:26:03.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:26:03.194Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:26:03.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:26:03.194Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17454.400 ms) ====== [2025-10-03T21:26:04.532Z] ----------------------------------- [2025-10-03T21:26:04.532Z] renaissance-movie-lens_0_PASSED [2025-10-03T21:26:04.532Z] ----------------------------------- [2025-10-03T21:26:04.532Z] [2025-10-03T21:26:04.532Z] TEST TEARDOWN: [2025-10-03T21:26:04.532Z] Nothing to be done for teardown. [2025-10-03T21:26:04.532Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 21:26:03 2025 Epoch Time (ms): 1759526763082