[2025-03-30T21:54:57.800Z] Running test renaissance-movie-lens_0 ... [2025-03-30T21:54:57.800Z] =============================================== [2025-03-30T21:54:57.800Z] renaissance-movie-lens_0 Start Time: Sun Mar 30 21:54:57 2025 Epoch Time (ms): 1743371697037 [2025-03-30T21:54:57.800Z] variation: NoOptions [2025-03-30T21:54:57.800Z] JVM_OPTIONS: [2025-03-30T21:54:57.800Z] { \ [2025-03-30T21:54:57.800Z] echo ""; echo "TEST SETUP:"; \ [2025-03-30T21:54:57.800Z] echo "Nothing to be done for setup."; \ [2025-03-30T21:54:57.800Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17433701016682/renaissance-movie-lens_0"; \ [2025-03-30T21:54:57.800Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17433701016682/renaissance-movie-lens_0"; \ [2025-03-30T21:54:57.800Z] echo ""; echo "TESTING:"; \ [2025-03-30T21:54:57.800Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17433701016682/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-30T21:54:57.800Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17433701016682/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-30T21:54:57.800Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-30T21:54:57.800Z] echo "Nothing to be done for teardown."; \ [2025-03-30T21:54:57.800Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17433701016682/TestTargetResult"; [2025-03-30T21:54:57.800Z] [2025-03-30T21:54:57.800Z] TEST SETUP: [2025-03-30T21:54:57.800Z] Nothing to be done for setup. [2025-03-30T21:54:57.800Z] [2025-03-30T21:54:57.800Z] TESTING: [2025-03-30T21:55:04.416Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-03-30T21:55:12.463Z] 21:55:11.404 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-03-30T21:55:15.137Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-30T21:55:15.137Z] Training: 60056, validation: 20285, test: 19854 [2025-03-30T21:55:15.137Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-30T21:55:15.137Z] GC before operation: completed in 198.937 ms, heap usage 253.281 MB -> 74.385 MB. [2025-03-30T21:55:21.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:55:25.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:55:29.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:55:32.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:55:35.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:55:37.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:55:39.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:55:42.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:55:42.482Z] 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. [2025-03-30T21:55:42.482Z] The best model improves the baseline by 14.52%. [2025-03-30T21:55:42.482Z] Top recommended movies for user id 72: [2025-03-30T21:55:42.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:55:42.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:55:42.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:55:42.482Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:55:42.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:55:42.482Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27207.577 ms) ====== [2025-03-30T21:55:42.482Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-30T21:55:42.482Z] GC before operation: completed in 187.960 ms, heap usage 136.325 MB -> 85.291 MB. [2025-03-30T21:55:46.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:55:49.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:55:52.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:55:55.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:55:57.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:55:59.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:56:01.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:56:03.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:56:04.200Z] 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. [2025-03-30T21:56:04.200Z] The best model improves the baseline by 14.52%. [2025-03-30T21:56:04.200Z] Top recommended movies for user id 72: [2025-03-30T21:56:04.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:56:04.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:56:04.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:56:04.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:56:04.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:56:04.200Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21683.523 ms) ====== [2025-03-30T21:56:04.200Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-30T21:56:04.200Z] GC before operation: completed in 182.127 ms, heap usage 194.182 MB -> 87.486 MB. [2025-03-30T21:56:07.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:56:10.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:56:14.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:56:17.298Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:56:19.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:56:21.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:56:23.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:56:25.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:56:25.017Z] 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. [2025-03-30T21:56:25.017Z] The best model improves the baseline by 14.52%. [2025-03-30T21:56:25.017Z] Top recommended movies for user id 72: [2025-03-30T21:56:25.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:56:25.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:56:25.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:56:25.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:56:25.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:56:25.017Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20624.607 ms) ====== [2025-03-30T21:56:25.017Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-30T21:56:25.017Z] GC before operation: completed in 198.336 ms, heap usage 351.102 MB -> 88.278 MB. [2025-03-30T21:56:27.994Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:56:32.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:56:35.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:56:38.058Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:56:39.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:56:41.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:56:43.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:56:45.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:56:45.777Z] 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. [2025-03-30T21:56:45.777Z] The best model improves the baseline by 14.52%. [2025-03-30T21:56:45.777Z] Top recommended movies for user id 72: [2025-03-30T21:56:45.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:56:45.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:56:45.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:56:45.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:56:45.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:56:45.777Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20808.898 ms) ====== [2025-03-30T21:56:45.777Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-30T21:56:46.714Z] GC before operation: completed in 169.355 ms, heap usage 96.296 MB -> 88.215 MB. [2025-03-30T21:56:50.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:56:51.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:56:54.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:56:57.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:56:59.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:57:01.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:57:03.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:57:05.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:57:05.710Z] 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. [2025-03-30T21:57:05.710Z] The best model improves the baseline by 14.52%. [2025-03-30T21:57:05.710Z] Top recommended movies for user id 72: [2025-03-30T21:57:05.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:57:05.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:57:05.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:57:05.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:57:05.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:57:05.710Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19794.446 ms) ====== [2025-03-30T21:57:05.710Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-30T21:57:06.647Z] GC before operation: completed in 190.239 ms, heap usage 202.204 MB -> 88.343 MB. [2025-03-30T21:57:09.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:57:11.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:57:14.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:57:17.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:57:19.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:57:21.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:57:23.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:57:25.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:57:25.217Z] 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. [2025-03-30T21:57:25.217Z] The best model improves the baseline by 14.52%. [2025-03-30T21:57:25.217Z] Top recommended movies for user id 72: [2025-03-30T21:57:25.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:57:25.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:57:25.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:57:25.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:57:25.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:57:25.217Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19299.069 ms) ====== [2025-03-30T21:57:25.217Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-30T21:57:26.155Z] GC before operation: completed in 183.721 ms, heap usage 214.756 MB -> 88.667 MB. [2025-03-30T21:57:29.129Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:57:31.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:57:34.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:57:35.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:57:37.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:57:39.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:57:41.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:57:42.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:57:43.662Z] 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. [2025-03-30T21:57:43.662Z] The best model improves the baseline by 14.52%. [2025-03-30T21:57:43.662Z] Top recommended movies for user id 72: [2025-03-30T21:57:43.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:57:43.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:57:43.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:57:43.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:57:43.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:57:43.662Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17959.723 ms) ====== [2025-03-30T21:57:43.662Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-30T21:57:43.662Z] GC before operation: completed in 191.442 ms, heap usage 329.005 MB -> 88.754 MB. [2025-03-30T21:57:46.641Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:57:49.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:57:52.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:57:55.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:57:57.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:57:59.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:58:01.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:58:02.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:58:03.386Z] 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. [2025-03-30T21:58:03.386Z] The best model improves the baseline by 14.52%. [2025-03-30T21:58:03.386Z] Top recommended movies for user id 72: [2025-03-30T21:58:03.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:58:03.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:58:03.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:58:03.386Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:58:03.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:58:03.386Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19172.045 ms) ====== [2025-03-30T21:58:03.386Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-30T21:58:03.386Z] GC before operation: completed in 177.569 ms, heap usage 99.345 MB -> 88.603 MB. [2025-03-30T21:58:06.363Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:58:09.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:58:11.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:58:14.248Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:58:16.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:58:18.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:58:20.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:58:20.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:58:21.920Z] 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. [2025-03-30T21:58:21.920Z] The best model improves the baseline by 14.52%. [2025-03-30T21:58:21.920Z] Top recommended movies for user id 72: [2025-03-30T21:58:21.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:58:21.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:58:21.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:58:21.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:58:21.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:58:21.920Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18505.040 ms) ====== [2025-03-30T21:58:21.920Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-30T21:58:21.920Z] GC before operation: completed in 174.436 ms, heap usage 195.725 MB -> 88.668 MB. [2025-03-30T21:58:24.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:58:28.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:58:31.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:58:32.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:58:34.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:58:36.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:58:38.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:58:39.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:58:40.599Z] 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. [2025-03-30T21:58:40.599Z] The best model improves the baseline by 14.52%. [2025-03-30T21:58:40.599Z] Top recommended movies for user id 72: [2025-03-30T21:58:40.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:58:40.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:58:40.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:58:40.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:58:40.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:58:40.599Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18560.186 ms) ====== [2025-03-30T21:58:40.600Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-30T21:58:40.600Z] GC before operation: completed in 154.487 ms, heap usage 121.226 MB -> 88.763 MB. [2025-03-30T21:58:43.578Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:58:46.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:58:49.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:58:51.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:58:53.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:58:55.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:58:57.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:58:59.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:58:59.181Z] 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. [2025-03-30T21:58:59.181Z] The best model improves the baseline by 14.52%. [2025-03-30T21:58:59.181Z] Top recommended movies for user id 72: [2025-03-30T21:58:59.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:58:59.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:58:59.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:58:59.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:58:59.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:58:59.181Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18508.562 ms) ====== [2025-03-30T21:58:59.181Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-30T21:58:59.181Z] GC before operation: completed in 165.603 ms, heap usage 342.264 MB -> 88.734 MB. [2025-03-30T21:59:02.202Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:59:05.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:59:08.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:59:11.194Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:59:12.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:59:14.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:59:15.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:59:17.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:59:17.908Z] 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. [2025-03-30T21:59:17.908Z] The best model improves the baseline by 14.52%. [2025-03-30T21:59:17.908Z] Top recommended movies for user id 72: [2025-03-30T21:59:17.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:59:17.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:59:17.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:59:17.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:59:17.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:59:17.908Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18572.370 ms) ====== [2025-03-30T21:59:17.908Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-30T21:59:17.908Z] GC before operation: completed in 180.256 ms, heap usage 221.524 MB -> 88.786 MB. [2025-03-30T21:59:20.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:59:23.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:59:25.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:59:28.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:59:30.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:59:33.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:59:33.819Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:59:35.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:59:35.766Z] 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. [2025-03-30T21:59:35.766Z] The best model improves the baseline by 14.52%. [2025-03-30T21:59:35.766Z] Top recommended movies for user id 72: [2025-03-30T21:59:35.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:59:35.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:59:35.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:59:35.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:59:35.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:59:35.766Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18116.866 ms) ====== [2025-03-30T21:59:35.766Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-30T21:59:36.703Z] GC before operation: completed in 168.971 ms, heap usage 347.989 MB -> 89.102 MB. [2025-03-30T21:59:39.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T21:59:42.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T21:59:45.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T21:59:48.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T21:59:49.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T21:59:51.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T21:59:53.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T21:59:55.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T21:59:55.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-30T21:59:55.343Z] The best model improves the baseline by 14.52%. [2025-03-30T21:59:55.343Z] Top recommended movies for user id 72: [2025-03-30T21:59:55.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T21:59:55.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T21:59:55.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T21:59:55.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T21:59:55.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T21:59:55.343Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19410.536 ms) ====== [2025-03-30T21:59:55.343Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-30T21:59:56.280Z] GC before operation: completed in 152.724 ms, heap usage 427.209 MB -> 89.013 MB. [2025-03-30T21:59:59.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:00:02.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:00:05.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:00:07.178Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:00:09.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:00:11.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:00:12.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:00:14.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:00:14.930Z] 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. [2025-03-30T22:00:14.930Z] The best model improves the baseline by 14.52%. [2025-03-30T22:00:14.930Z] Top recommended movies for user id 72: [2025-03-30T22:00:14.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:00:14.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:00:14.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:00:14.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:00:14.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:00:14.930Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19074.622 ms) ====== [2025-03-30T22:00:14.930Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-30T22:00:14.930Z] GC before operation: completed in 160.613 ms, heap usage 202.109 MB -> 88.984 MB. [2025-03-30T22:00:17.921Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:00:20.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:00:23.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:00:26.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:00:29.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:00:30.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:00:31.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:00:33.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:00:33.341Z] 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. [2025-03-30T22:00:33.341Z] The best model improves the baseline by 14.52%. [2025-03-30T22:00:34.289Z] Top recommended movies for user id 72: [2025-03-30T22:00:34.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:00:34.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:00:34.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:00:34.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:00:34.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:00:34.289Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18648.780 ms) ====== [2025-03-30T22:00:34.289Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-30T22:00:34.289Z] GC before operation: completed in 162.960 ms, heap usage 134.961 MB -> 88.726 MB. [2025-03-30T22:00:37.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:00:39.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:00:42.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:00:45.169Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:00:47.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:00:49.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:00:49.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:00:51.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:00:52.858Z] 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. [2025-03-30T22:00:52.858Z] The best model improves the baseline by 14.52%. [2025-03-30T22:00:52.858Z] Top recommended movies for user id 72: [2025-03-30T22:00:52.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:00:52.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:00:52.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:00:52.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:00:52.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:00:52.858Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18663.990 ms) ====== [2025-03-30T22:00:52.858Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-30T22:00:52.858Z] GC before operation: completed in 173.257 ms, heap usage 384.722 MB -> 89.154 MB. [2025-03-30T22:00:55.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:00:58.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:01:01.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:01:03.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:01:05.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:01:07.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:01:09.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:01:11.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:01:11.575Z] 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. [2025-03-30T22:01:11.575Z] The best model improves the baseline by 14.52%. [2025-03-30T22:01:11.575Z] Top recommended movies for user id 72: [2025-03-30T22:01:11.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:01:11.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:01:11.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:01:11.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:01:11.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:01:11.575Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19014.347 ms) ====== [2025-03-30T22:01:11.575Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-30T22:01:11.575Z] GC before operation: completed in 164.450 ms, heap usage 167.142 MB -> 88.725 MB. [2025-03-30T22:01:14.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:01:17.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:01:20.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:01:23.516Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:01:25.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:01:27.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:01:29.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:01:31.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:01:32.085Z] 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. [2025-03-30T22:01:32.085Z] The best model improves the baseline by 14.52%. [2025-03-30T22:01:32.085Z] Top recommended movies for user id 72: [2025-03-30T22:01:32.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:01:32.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:01:32.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:01:32.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:01:32.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:01:32.085Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19844.874 ms) ====== [2025-03-30T22:01:32.085Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-30T22:01:32.085Z] GC before operation: completed in 182.122 ms, heap usage 206.479 MB -> 88.841 MB. [2025-03-30T22:01:35.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:01:38.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:01:41.039Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:01:44.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:01:44.960Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:01:46.896Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:01:48.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:01:50.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:01:50.751Z] 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. [2025-03-30T22:01:50.751Z] The best model improves the baseline by 14.52%. [2025-03-30T22:01:50.751Z] Top recommended movies for user id 72: [2025-03-30T22:01:50.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-30T22:01:50.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-30T22:01:50.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-30T22:01:50.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-30T22:01:50.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-30T22:01:50.751Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18917.343 ms) ====== [2025-03-30T22:01:51.693Z] ----------------------------------- [2025-03-30T22:01:51.693Z] renaissance-movie-lens_0_PASSED [2025-03-30T22:01:51.693Z] ----------------------------------- [2025-03-30T22:01:51.693Z] [2025-03-30T22:01:51.693Z] TEST TEARDOWN: [2025-03-30T22:01:51.693Z] Nothing to be done for teardown. [2025-03-30T22:01:51.693Z] renaissance-movie-lens_0 Finish Time: Sun Mar 30 22:01:50 2025 Epoch Time (ms): 1743372111003