[2025-06-27T23:17:36.788Z] Running test renaissance-movie-lens_0 ... [2025-06-27T23:17:36.788Z] =============================================== [2025-06-27T23:17:37.096Z] renaissance-movie-lens_0 Start Time: Fri Jun 27 23:17:36 2025 Epoch Time (ms): 1751066256924 [2025-06-27T23:17:37.419Z] variation: NoOptions [2025-06-27T23:17:37.419Z] JVM_OPTIONS: [2025-06-27T23:17:37.419Z] { \ [2025-06-27T23:17:37.419Z] echo ""; echo "TEST SETUP:"; \ [2025-06-27T23:17:37.419Z] echo "Nothing to be done for setup."; \ [2025-06-27T23:17:37.419Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17510643569254\\renaissance-movie-lens_0"; \ [2025-06-27T23:17:37.419Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17510643569254\\renaissance-movie-lens_0"; \ [2025-06-27T23:17:37.419Z] echo ""; echo "TESTING:"; \ [2025-06-27T23:17:37.419Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17510643569254\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-06-27T23:17:37.419Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17510643569254\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-27T23:17:37.419Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-27T23:17:37.419Z] echo "Nothing to be done for teardown."; \ [2025-06-27T23:17:37.419Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17510643569254\\TestTargetResult"; [2025-06-27T23:17:37.744Z] [2025-06-27T23:17:37.744Z] TEST SETUP: [2025-06-27T23:17:37.744Z] Nothing to be done for setup. [2025-06-27T23:17:37.744Z] [2025-06-27T23:17:37.744Z] TESTING: [2025-06-27T23:17:50.608Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-27T23:17:58.127Z] 23:17:57.553 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-27T23:18:00.422Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-27T23:18:00.422Z] Training: 60056, validation: 20285, test: 19854 [2025-06-27T23:18:00.422Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-27T23:18:00.750Z] GC before operation: completed in 126.271 ms, heap usage 361.963 MB -> 76.460 MB. [2025-06-27T23:18:13.775Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:18:22.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:18:31.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:18:38.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:18:43.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:18:48.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:18:53.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:18:57.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:18:57.867Z] 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. [2025-06-27T23:18:58.175Z] The best model improves the baseline by 14.52%. [2025-06-27T23:18:58.508Z] Top recommended movies for user id 72: [2025-06-27T23:18:58.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:18:58.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:18:58.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:18:58.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:18:58.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:18:58.508Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57856.737 ms) ====== [2025-06-27T23:18:58.508Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-27T23:18:58.508Z] GC before operation: completed in 111.283 ms, heap usage 225.118 MB -> 88.121 MB. [2025-06-27T23:19:07.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:19:14.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:19:22.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:19:30.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:19:33.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:19:38.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:19:42.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:19:47.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:19:47.570Z] 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. [2025-06-27T23:19:47.570Z] The best model improves the baseline by 14.52%. [2025-06-27T23:19:47.914Z] Top recommended movies for user id 72: [2025-06-27T23:19:47.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:19:47.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:19:47.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:19:47.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:19:47.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:19:47.914Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49405.004 ms) ====== [2025-06-27T23:19:47.914Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-27T23:19:48.246Z] GC before operation: completed in 112.618 ms, heap usage 118.370 MB -> 88.985 MB. [2025-06-27T23:19:56.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:20:04.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:20:11.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:20:18.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:20:22.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:20:27.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:20:32.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:20:35.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:20:36.586Z] 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. [2025-06-27T23:20:36.586Z] The best model improves the baseline by 14.52%. [2025-06-27T23:20:36.908Z] Top recommended movies for user id 72: [2025-06-27T23:20:36.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:20:36.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:20:36.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:20:36.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:20:36.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:20:36.908Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48583.793 ms) ====== [2025-06-27T23:20:36.908Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-27T23:20:36.908Z] GC before operation: completed in 114.656 ms, heap usage 118.145 MB -> 89.780 MB. [2025-06-27T23:20:43.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:20:51.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:20:59.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:21:06.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:21:10.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:21:15.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:21:19.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:21:24.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:21:24.572Z] 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. [2025-06-27T23:21:24.572Z] The best model improves the baseline by 14.52%. [2025-06-27T23:21:24.573Z] Top recommended movies for user id 72: [2025-06-27T23:21:24.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:21:24.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:21:24.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:21:24.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:21:24.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:21:24.573Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (47843.857 ms) ====== [2025-06-27T23:21:24.573Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-27T23:21:24.881Z] GC before operation: completed in 112.464 ms, heap usage 118.235 MB -> 89.925 MB. [2025-06-27T23:21:31.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:21:40.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:21:47.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:21:54.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:21:59.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:22:03.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:22:07.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:22:12.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:22:12.516Z] 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. [2025-06-27T23:22:12.516Z] The best model improves the baseline by 14.52%. [2025-06-27T23:22:12.846Z] Top recommended movies for user id 72: [2025-06-27T23:22:12.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:22:12.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:22:12.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:22:12.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:22:12.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:22:12.846Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48125.904 ms) ====== [2025-06-27T23:22:12.846Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-27T23:22:12.846Z] GC before operation: completed in 105.770 ms, heap usage 162.641 MB -> 89.969 MB. [2025-06-27T23:22:21.520Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:22:28.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:22:37.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:22:43.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:22:47.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:22:51.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:22:57.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:23:00.795Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:23:01.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-27T23:23:01.162Z] The best model improves the baseline by 14.52%. [2025-06-27T23:23:01.162Z] Top recommended movies for user id 72: [2025-06-27T23:23:01.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:23:01.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:23:01.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:23:01.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:23:01.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:23:01.162Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48238.013 ms) ====== [2025-06-27T23:23:01.162Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-27T23:23:01.485Z] GC before operation: completed in 120.807 ms, heap usage 456.509 MB -> 90.687 MB. [2025-06-27T23:23:08.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:23:15.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:23:23.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:23:30.394Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:23:35.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:23:38.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:23:43.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:23:47.929Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:23:47.929Z] 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. [2025-06-27T23:23:47.929Z] The best model improves the baseline by 14.52%. [2025-06-27T23:23:48.271Z] Top recommended movies for user id 72: [2025-06-27T23:23:48.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:23:48.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:23:48.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:23:48.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:23:48.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:23:48.271Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46887.270 ms) ====== [2025-06-27T23:23:48.271Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-27T23:23:48.271Z] GC before operation: completed in 106.068 ms, heap usage 283.558 MB -> 90.415 MB. [2025-06-27T23:23:56.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:24:04.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:24:11.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:24:18.177Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:24:21.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:24:26.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:24:31.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:24:34.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:24:35.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-27T23:24:35.460Z] The best model improves the baseline by 14.52%. [2025-06-27T23:24:35.460Z] Top recommended movies for user id 72: [2025-06-27T23:24:35.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:24:35.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:24:35.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:24:35.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:24:35.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:24:35.460Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (47190.048 ms) ====== [2025-06-27T23:24:35.460Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-27T23:24:35.780Z] GC before operation: completed in 108.157 ms, heap usage 287.912 MB -> 90.706 MB. [2025-06-27T23:24:42.924Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:24:50.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:24:58.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:25:04.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:25:09.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:25:12.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:25:17.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:25:22.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:25:22.029Z] 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. [2025-06-27T23:25:22.029Z] The best model improves the baseline by 14.52%. [2025-06-27T23:25:22.359Z] Top recommended movies for user id 72: [2025-06-27T23:25:22.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:25:22.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:25:22.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:25:22.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:25:22.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:25:22.359Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46670.105 ms) ====== [2025-06-27T23:25:22.359Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-27T23:25:22.359Z] GC before operation: completed in 104.582 ms, heap usage 283.666 MB -> 90.506 MB. [2025-06-27T23:25:29.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:25:38.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:25:45.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:25:52.425Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:25:56.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:25:59.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:26:04.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:26:08.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:26:08.975Z] 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. [2025-06-27T23:26:08.975Z] The best model improves the baseline by 14.52%. [2025-06-27T23:26:09.299Z] Top recommended movies for user id 72: [2025-06-27T23:26:09.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:26:09.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:26:09.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:26:09.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:26:09.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:26:09.299Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46900.567 ms) ====== [2025-06-27T23:26:09.299Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-27T23:26:09.299Z] GC before operation: completed in 108.503 ms, heap usage 118.780 MB -> 90.403 MB. [2025-06-27T23:26:16.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:26:25.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:26:32.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:26:39.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:26:42.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:26:47.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:26:52.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:26:55.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:26:56.654Z] 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. [2025-06-27T23:26:56.654Z] The best model improves the baseline by 14.52%. [2025-06-27T23:26:56.654Z] Top recommended movies for user id 72: [2025-06-27T23:26:56.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:26:56.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:26:56.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:26:56.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:26:56.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:26:56.654Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47295.391 ms) ====== [2025-06-27T23:26:56.654Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-27T23:26:56.981Z] GC before operation: completed in 106.221 ms, heap usage 178.947 MB -> 90.282 MB. [2025-06-27T23:27:04.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:27:11.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:27:19.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:27:25.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:27:30.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:27:33.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:27:39.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:27:43.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:27:43.363Z] 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. [2025-06-27T23:27:43.363Z] The best model improves the baseline by 14.52%. [2025-06-27T23:27:43.689Z] Top recommended movies for user id 72: [2025-06-27T23:27:43.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:27:43.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:27:43.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:27:43.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:27:43.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:27:43.689Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46828.472 ms) ====== [2025-06-27T23:27:43.689Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-27T23:27:43.689Z] GC before operation: completed in 112.233 ms, heap usage 120.995 MB -> 90.467 MB. [2025-06-27T23:27:50.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:27:57.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:28:06.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:28:13.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:28:17.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:28:22.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:28:26.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:28:32.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:28:32.265Z] 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. [2025-06-27T23:28:32.265Z] The best model improves the baseline by 14.52%. [2025-06-27T23:28:32.265Z] Top recommended movies for user id 72: [2025-06-27T23:28:32.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:28:32.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:28:32.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:28:32.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:28:32.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:28:32.265Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46975.118 ms) ====== [2025-06-27T23:28:32.265Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-27T23:28:32.265Z] GC before operation: completed in 115.058 ms, heap usage 281.683 MB -> 94.222 MB. [2025-06-27T23:28:38.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:28:45.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:28:53.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:29:00.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:29:03.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:29:08.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:29:13.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:29:16.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:29:17.002Z] 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. [2025-06-27T23:29:17.002Z] The best model improves the baseline by 14.52%. [2025-06-27T23:29:17.336Z] Top recommended movies for user id 72: [2025-06-27T23:29:17.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:29:17.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:29:17.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:29:17.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:29:17.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:29:17.337Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46338.026 ms) ====== [2025-06-27T23:29:17.337Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-27T23:29:17.337Z] GC before operation: completed in 114.951 ms, heap usage 103.763 MB -> 90.197 MB. [2025-06-27T23:29:24.508Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:29:31.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:29:40.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:29:47.460Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:29:50.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:29:54.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:29:59.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:30:03.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:30:03.929Z] 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. [2025-06-27T23:30:03.929Z] The best model improves the baseline by 14.52%. [2025-06-27T23:30:04.257Z] Top recommended movies for user id 72: [2025-06-27T23:30:04.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:30:04.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:30:04.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:30:04.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:30:04.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:30:04.257Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46910.102 ms) ====== [2025-06-27T23:30:04.257Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-27T23:30:04.257Z] GC before operation: completed in 111.507 ms, heap usage 278.576 MB -> 90.841 MB. [2025-06-27T23:30:11.345Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:30:18.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:30:27.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:30:34.315Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:30:38.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:30:41.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:30:46.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:30:50.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:30:50.870Z] 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. [2025-06-27T23:30:50.870Z] The best model improves the baseline by 14.52%. [2025-06-27T23:30:51.188Z] Top recommended movies for user id 72: [2025-06-27T23:30:51.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:30:51.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:30:51.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:30:51.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:30:51.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:30:51.188Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46776.276 ms) ====== [2025-06-27T23:30:51.188Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-27T23:30:51.188Z] GC before operation: completed in 107.593 ms, heap usage 119.278 MB -> 90.461 MB. [2025-06-27T23:30:58.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:31:05.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:31:14.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:31:21.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:31:24.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:31:28.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:31:33.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:31:37.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:31:37.777Z] 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. [2025-06-27T23:31:37.777Z] The best model improves the baseline by 14.52%. [2025-06-27T23:31:38.102Z] Top recommended movies for user id 72: [2025-06-27T23:31:38.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:31:38.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:31:38.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:31:38.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:31:38.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:31:38.102Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46781.018 ms) ====== [2025-06-27T23:31:38.102Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-27T23:31:38.102Z] GC before operation: completed in 106.080 ms, heap usage 288.413 MB -> 90.745 MB. [2025-06-27T23:31:45.203Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:31:52.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:32:01.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:32:08.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:32:11.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:32:15.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:32:20.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:32:24.795Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:32:24.795Z] 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. [2025-06-27T23:32:24.795Z] The best model improves the baseline by 14.52%. [2025-06-27T23:32:24.795Z] Top recommended movies for user id 72: [2025-06-27T23:32:24.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:32:24.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:32:24.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:32:24.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:32:24.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:32:24.795Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46746.813 ms) ====== [2025-06-27T23:32:24.795Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-27T23:32:25.130Z] GC before operation: completed in 106.680 ms, heap usage 182.506 MB -> 90.502 MB. [2025-06-27T23:32:32.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:32:39.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:32:48.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:32:55.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:32:58.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:33:02.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:33:07.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:33:11.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:33:11.680Z] 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. [2025-06-27T23:33:11.680Z] The best model improves the baseline by 14.52%. [2025-06-27T23:33:11.680Z] Top recommended movies for user id 72: [2025-06-27T23:33:11.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:33:11.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:33:11.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:33:11.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:33:11.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:33:11.680Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46765.376 ms) ====== [2025-06-27T23:33:11.680Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-27T23:33:12.011Z] GC before operation: completed in 118.299 ms, heap usage 99.883 MB -> 90.336 MB. [2025-06-27T23:33:22.251Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T23:33:26.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T23:33:35.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T23:33:42.618Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T23:33:46.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T23:33:49.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T23:33:54.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T23:33:58.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T23:33:58.910Z] 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. [2025-06-27T23:33:58.910Z] The best model improves the baseline by 14.52%. [2025-06-27T23:33:59.232Z] Top recommended movies for user id 72: [2025-06-27T23:33:59.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T23:33:59.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T23:33:59.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T23:33:59.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T23:33:59.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T23:33:59.232Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (47367.942 ms) ====== [2025-06-27T23:33:59.556Z] ----------------------------------- [2025-06-27T23:33:59.556Z] renaissance-movie-lens_0_PASSED [2025-06-27T23:33:59.556Z] ----------------------------------- [2025-06-27T23:34:00.237Z] [2025-06-27T23:34:00.237Z] TEST TEARDOWN: [2025-06-27T23:34:00.237Z] Nothing to be done for teardown. [2025-06-27T23:34:00.237Z] renaissance-movie-lens_0 Finish Time: Fri Jun 27 23:34:00 2025 Epoch Time (ms): 1751067240127