[2025-05-16T23:45:56.724Z] Running test renaissance-movie-lens_0 ... [2025-05-16T23:45:56.724Z] =============================================== [2025-05-16T23:45:56.724Z] renaissance-movie-lens_0 Start Time: Fri May 16 23:45:56 2025 Epoch Time (ms): 1747439156462 [2025-05-16T23:45:56.724Z] variation: NoOptions [2025-05-16T23:45:56.724Z] JVM_OPTIONS: [2025-05-16T23:45:56.724Z] { \ [2025-05-16T23:45:56.724Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T23:45:56.724Z] echo "Nothing to be done for setup."; \ [2025-05-16T23:45:56.724Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17474376101704/renaissance-movie-lens_0"; \ [2025-05-16T23:45:56.724Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17474376101704/renaissance-movie-lens_0"; \ [2025-05-16T23:45:56.724Z] echo ""; echo "TESTING:"; \ [2025-05-16T23:45:56.724Z] "/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_17474376101704/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-16T23:45:56.724Z] 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_17474376101704/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T23:45:56.724Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T23:45:56.724Z] echo "Nothing to be done for teardown."; \ [2025-05-16T23:45:56.724Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17474376101704/TestTargetResult"; [2025-05-16T23:45:56.724Z] [2025-05-16T23:45:56.724Z] TEST SETUP: [2025-05-16T23:45:56.724Z] Nothing to be done for setup. [2025-05-16T23:45:56.724Z] [2025-05-16T23:45:56.724Z] TESTING: [2025-05-16T23:46:03.402Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-16T23:46:11.551Z] 23:46:11.078 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. [2025-05-16T23:46:13.498Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T23:46:14.449Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T23:46:14.449Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T23:46:14.449Z] GC before operation: completed in 178.160 ms, heap usage 174.845 MB -> 74.405 MB. [2025-05-16T23:46:21.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:46:25.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:46:29.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:46:32.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:46:34.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:46:36.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:46:39.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:46:41.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:46:41.172Z] 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. [2025-05-16T23:46:41.172Z] The best model improves the baseline by 14.52%. [2025-05-16T23:46:41.172Z] Top recommended movies for user id 72: [2025-05-16T23:46:41.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:46:41.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:46:41.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:46:41.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:46:41.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:46:41.172Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27057.736 ms) ====== [2025-05-16T23:46:41.172Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T23:46:42.125Z] GC before operation: completed in 183.593 ms, heap usage 458.922 MB -> 85.713 MB. [2025-05-16T23:46:45.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:46:49.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:46:52.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:46:55.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:46:57.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:46:59.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:47:01.495Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:47:03.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:47:03.444Z] 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. [2025-05-16T23:47:03.444Z] The best model improves the baseline by 14.52%. [2025-05-16T23:47:04.399Z] Top recommended movies for user id 72: [2025-05-16T23:47:04.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:47:04.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:47:04.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:47:04.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:47:04.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:47:04.399Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22265.540 ms) ====== [2025-05-16T23:47:04.399Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T23:47:04.399Z] GC before operation: completed in 185.477 ms, heap usage 222.665 MB -> 87.494 MB. [2025-05-16T23:47:08.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:47:10.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:47:14.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:47:17.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:47:19.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:47:20.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:47:22.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:47:24.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:47:25.062Z] 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. [2025-05-16T23:47:25.062Z] The best model improves the baseline by 14.52%. [2025-05-16T23:47:25.062Z] Top recommended movies for user id 72: [2025-05-16T23:47:25.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:47:25.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:47:25.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:47:25.062Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:47:25.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:47:25.062Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20791.021 ms) ====== [2025-05-16T23:47:25.062Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T23:47:25.062Z] GC before operation: completed in 186.816 ms, heap usage 459.574 MB -> 88.472 MB. [2025-05-16T23:47:28.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:47:32.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:47:35.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:47:38.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:47:40.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:47:42.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:47:45.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:47:46.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:47:47.079Z] 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. [2025-05-16T23:47:47.079Z] The best model improves the baseline by 14.52%. [2025-05-16T23:47:47.079Z] Top recommended movies for user id 72: [2025-05-16T23:47:47.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:47:47.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:47:47.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:47:47.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:47:47.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:47:47.079Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21757.551 ms) ====== [2025-05-16T23:47:47.079Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T23:47:47.079Z] GC before operation: completed in 210.314 ms, heap usage 143.131 MB -> 88.326 MB. [2025-05-16T23:47:50.095Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:47:53.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:47:57.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:48:00.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:48:02.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:48:04.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:48:06.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:48:07.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:48:08.154Z] 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. [2025-05-16T23:48:08.154Z] The best model improves the baseline by 14.52%. [2025-05-16T23:48:08.154Z] Top recommended movies for user id 72: [2025-05-16T23:48:08.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:48:08.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:48:08.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:48:08.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:48:08.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:48:08.154Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20973.102 ms) ====== [2025-05-16T23:48:08.154Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T23:48:08.154Z] GC before operation: completed in 193.917 ms, heap usage 475.504 MB -> 88.712 MB. [2025-05-16T23:48:11.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:48:14.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:48:17.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:48:20.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:48:22.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:48:24.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:48:26.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:48:28.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:48:28.016Z] 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. [2025-05-16T23:48:28.016Z] The best model improves the baseline by 14.52%. [2025-05-16T23:48:28.016Z] Top recommended movies for user id 72: [2025-05-16T23:48:28.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:48:28.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:48:28.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:48:28.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:48:28.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:48:28.016Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20064.328 ms) ====== [2025-05-16T23:48:28.016Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T23:48:28.968Z] GC before operation: completed in 198.572 ms, heap usage 383.441 MB -> 88.946 MB. [2025-05-16T23:48:31.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:48:35.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:48:38.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:48:41.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:48:43.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:48:43.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:48:47.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:48:47.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:48:48.912Z] 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. [2025-05-16T23:48:48.912Z] The best model improves the baseline by 14.52%. [2025-05-16T23:48:48.912Z] Top recommended movies for user id 72: [2025-05-16T23:48:48.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:48:48.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:48:48.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:48:48.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:48:48.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:48:48.912Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20028.215 ms) ====== [2025-05-16T23:48:48.912Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T23:48:48.912Z] GC before operation: completed in 7.429 ms, heap usage 101.628 MB -> 101.823 MB. [2025-05-16T23:48:52.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:48:54.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:48:57.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:49:00.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:49:02.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:49:04.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:49:06.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:49:08.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:49:08.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-16T23:49:08.581Z] The best model improves the baseline by 14.52%. [2025-05-16T23:49:09.531Z] Top recommended movies for user id 72: [2025-05-16T23:49:09.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:49:09.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:49:09.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:49:09.531Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:49:09.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:49:09.531Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20531.090 ms) ====== [2025-05-16T23:49:09.531Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T23:49:09.531Z] GC before operation: completed in 186.055 ms, heap usage 413.259 MB -> 89.052 MB. [2025-05-16T23:49:12.544Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:49:15.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:49:18.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:49:21.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:49:23.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:49:25.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:49:27.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:49:29.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:49:29.395Z] 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. [2025-05-16T23:49:29.395Z] The best model improves the baseline by 14.52%. [2025-05-16T23:49:29.395Z] Top recommended movies for user id 72: [2025-05-16T23:49:29.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:49:29.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:49:29.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:49:29.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:49:29.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:49:29.395Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20134.106 ms) ====== [2025-05-16T23:49:29.395Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T23:49:29.395Z] GC before operation: completed in 193.640 ms, heap usage 170.312 MB -> 88.658 MB. [2025-05-16T23:49:32.406Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:49:35.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:49:39.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:49:41.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:49:43.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:49:45.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:49:46.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:49:48.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:49:48.971Z] 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. [2025-05-16T23:49:48.971Z] The best model improves the baseline by 14.52%. [2025-05-16T23:49:48.971Z] Top recommended movies for user id 72: [2025-05-16T23:49:48.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:49:48.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:49:48.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:49:48.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:49:48.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:49:48.971Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19543.224 ms) ====== [2025-05-16T23:49:48.971Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T23:49:49.923Z] GC before operation: completed in 191.186 ms, heap usage 453.735 MB -> 89.209 MB. [2025-05-16T23:49:51.873Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:49:56.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:49:57.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:50:00.989Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:50:02.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:50:04.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:50:06.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:50:08.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:50:08.792Z] 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. [2025-05-16T23:50:08.792Z] The best model improves the baseline by 14.52%. [2025-05-16T23:50:08.792Z] Top recommended movies for user id 72: [2025-05-16T23:50:08.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:50:08.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:50:08.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:50:08.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:50:08.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:50:08.793Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19543.076 ms) ====== [2025-05-16T23:50:08.793Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T23:50:08.793Z] GC before operation: completed in 174.813 ms, heap usage 454.100 MB -> 88.932 MB. [2025-05-16T23:50:11.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:50:14.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:50:18.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:50:21.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:50:23.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:50:24.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:50:26.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:50:28.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:50:28.896Z] 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. [2025-05-16T23:50:28.896Z] The best model improves the baseline by 14.52%. [2025-05-16T23:50:30.889Z] Top recommended movies for user id 72: [2025-05-16T23:50:30.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:50:30.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:50:30.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:50:30.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:50:30.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:50:30.889Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20238.756 ms) ====== [2025-05-16T23:50:30.889Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T23:50:30.889Z] GC before operation: completed in 183.329 ms, heap usage 396.002 MB -> 89.064 MB. [2025-05-16T23:50:32.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:50:35.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:50:38.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:50:41.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:50:43.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:50:45.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:50:47.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:50:49.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:50:50.658Z] 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. [2025-05-16T23:50:50.658Z] The best model improves the baseline by 14.52%. [2025-05-16T23:50:50.658Z] Top recommended movies for user id 72: [2025-05-16T23:50:50.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:50:50.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:50:50.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:50:50.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:50:50.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:50:50.658Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20855.373 ms) ====== [2025-05-16T23:50:50.658Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T23:50:50.658Z] GC before operation: completed in 189.147 ms, heap usage 404.422 MB -> 89.175 MB. [2025-05-16T23:50:53.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:50:56.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:50:59.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:51:02.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:51:04.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:51:06.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:51:08.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:51:10.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:51:10.704Z] 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. [2025-05-16T23:51:10.704Z] The best model improves the baseline by 14.52%. [2025-05-16T23:51:10.704Z] Top recommended movies for user id 72: [2025-05-16T23:51:10.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:51:10.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:51:10.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:51:10.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:51:10.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:51:10.704Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20258.128 ms) ====== [2025-05-16T23:51:10.704Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T23:51:10.704Z] GC before operation: completed in 212.085 ms, heap usage 405.395 MB -> 88.999 MB. [2025-05-16T23:51:13.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:51:16.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:51:20.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:51:22.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:51:24.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:51:26.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:51:28.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:51:30.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:51:30.403Z] 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. [2025-05-16T23:51:30.403Z] The best model improves the baseline by 14.52%. [2025-05-16T23:51:30.403Z] Top recommended movies for user id 72: [2025-05-16T23:51:30.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:51:30.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:51:30.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:51:30.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:51:30.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:51:30.404Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19396.969 ms) ====== [2025-05-16T23:51:30.404Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T23:51:30.404Z] GC before operation: completed in 183.056 ms, heap usage 430.878 MB -> 89.220 MB. [2025-05-16T23:51:33.415Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:51:36.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:51:39.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:51:42.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:51:44.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:51:46.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:51:48.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:51:50.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:51:50.280Z] 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. [2025-05-16T23:51:50.280Z] The best model improves the baseline by 14.52%. [2025-05-16T23:51:50.280Z] Top recommended movies for user id 72: [2025-05-16T23:51:50.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:51:50.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:51:50.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:51:50.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:51:50.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:51:50.280Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19873.350 ms) ====== [2025-05-16T23:51:50.280Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T23:51:51.230Z] GC before operation: completed in 191.607 ms, heap usage 391.661 MB -> 89.063 MB. [2025-05-16T23:51:53.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:51:56.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:51:59.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:52:02.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:52:04.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:52:06.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:52:08.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:52:10.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:52:10.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-16T23:52:10.178Z] The best model improves the baseline by 14.52%. [2025-05-16T23:52:10.178Z] Top recommended movies for user id 72: [2025-05-16T23:52:10.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:52:10.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:52:10.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:52:10.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:52:10.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:52:10.178Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19847.381 ms) ====== [2025-05-16T23:52:10.178Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T23:52:12.174Z] GC before operation: completed in 177.043 ms, heap usage 438.114 MB -> 89.255 MB. [2025-05-16T23:52:13.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:52:17.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:52:20.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:52:23.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:52:24.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:52:26.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:52:28.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:52:30.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:52:31.145Z] 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. [2025-05-16T23:52:31.145Z] The best model improves the baseline by 14.52%. [2025-05-16T23:52:31.145Z] Top recommended movies for user id 72: [2025-05-16T23:52:31.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:52:31.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:52:31.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:52:31.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:52:31.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:52:31.145Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20168.682 ms) ====== [2025-05-16T23:52:31.145Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T23:52:31.145Z] GC before operation: completed in 177.247 ms, heap usage 404.594 MB -> 88.998 MB. [2025-05-16T23:52:34.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:52:37.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:52:40.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:52:43.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:52:44.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:52:46.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:52:48.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:52:50.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:52:50.059Z] 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. [2025-05-16T23:52:50.059Z] The best model improves the baseline by 14.52%. [2025-05-16T23:52:51.011Z] Top recommended movies for user id 72: [2025-05-16T23:52:51.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:52:51.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:52:51.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:52:51.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:52:51.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:52:51.011Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19417.119 ms) ====== [2025-05-16T23:52:51.011Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T23:52:51.011Z] GC before operation: completed in 163.915 ms, heap usage 389.089 MB -> 89.108 MB. [2025-05-16T23:52:54.041Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:52:57.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:53:00.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:53:02.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:53:03.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:53:05.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:53:07.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:53:09.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:53:09.777Z] 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. [2025-05-16T23:53:09.777Z] The best model improves the baseline by 14.52%. [2025-05-16T23:53:10.732Z] Top recommended movies for user id 72: [2025-05-16T23:53:10.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:53:10.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:53:10.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:53:10.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:53:10.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:53:10.732Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19572.751 ms) ====== [2025-05-16T23:53:10.732Z] ----------------------------------- [2025-05-16T23:53:10.732Z] renaissance-movie-lens_0_PASSED [2025-05-16T23:53:10.732Z] ----------------------------------- [2025-05-16T23:53:10.732Z] [2025-05-16T23:53:10.732Z] TEST TEARDOWN: [2025-05-16T23:53:10.732Z] Nothing to be done for teardown. [2025-05-16T23:53:10.732Z] renaissance-movie-lens_0 Finish Time: Fri May 16 23:53:10 2025 Epoch Time (ms): 1747439590356