[2025-12-03T23:19:05.709Z] Running test renaissance-movie-lens_0 ... [2025-12-03T23:19:05.709Z] =============================================== [2025-12-03T23:19:05.709Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 23:19:05 2025 Epoch Time (ms): 1764803945037 [2025-12-03T23:19:05.709Z] variation: NoOptions [2025-12-03T23:19:05.709Z] JVM_OPTIONS: [2025-12-03T23:19:05.709Z] { \ [2025-12-03T23:19:05.709Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T23:19:05.709Z] echo "Nothing to be done for setup."; \ [2025-12-03T23:19:05.709Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17648007721367/renaissance-movie-lens_0"; \ [2025-12-03T23:19:05.709Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17648007721367/renaissance-movie-lens_0"; \ [2025-12-03T23:19:05.709Z] echo ""; echo "TESTING:"; \ [2025-12-03T23:19:05.709Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17648007721367/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T23:19:05.709Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17648007721367/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T23:19:05.709Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T23:19:05.709Z] echo "Nothing to be done for teardown."; \ [2025-12-03T23:19:05.709Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17648007721367/TestTargetResult"; [2025-12-03T23:19:05.709Z] [2025-12-03T23:19:05.709Z] TEST SETUP: [2025-12-03T23:19:05.709Z] Nothing to be done for setup. [2025-12-03T23:19:05.709Z] [2025-12-03T23:19:05.709Z] TESTING: [2025-12-03T23:19:10.653Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-03T23:19:19.734Z] 23:19:18.761 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-03T23:19:22.027Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T23:19:22.690Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T23:19:22.690Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T23:19:23.360Z] GC before operation: completed in 338.682 ms, heap usage 324.260 MB -> 75.769 MB. [2025-12-03T23:19:34.657Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:19:41.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:19:46.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:19:51.396Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:19:54.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:19:58.451Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:20:01.678Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:20:05.735Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:20:06.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:20:06.413Z] The best model improves the baseline by 14.34%. [2025-12-03T23:20:07.119Z] Top recommended movies for user id 72: [2025-12-03T23:20:07.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:20:07.119Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:20:07.119Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:20:07.119Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:20:07.119Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:20:07.119Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43560.393 ms) ====== [2025-12-03T23:20:07.119Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T23:20:07.119Z] GC before operation: completed in 410.593 ms, heap usage 318.969 MB -> 97.662 MB. [2025-12-03T23:20:12.904Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:20:17.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:20:22.277Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:20:26.391Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:20:29.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:20:32.637Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:20:34.950Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:20:38.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:20:38.167Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:20:38.167Z] The best model improves the baseline by 14.34%. [2025-12-03T23:20:38.167Z] Top recommended movies for user id 72: [2025-12-03T23:20:38.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:20:38.167Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:20:38.167Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:20:38.167Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:20:38.167Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:20:38.167Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31128.211 ms) ====== [2025-12-03T23:20:38.167Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T23:20:38.933Z] GC before operation: completed in 314.601 ms, heap usage 242.748 MB -> 87.963 MB. [2025-12-03T23:20:43.798Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:20:46.849Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:20:53.097Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:20:58.179Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:21:00.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:21:02.826Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:21:05.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:21:07.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:21:08.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:21:08.162Z] The best model improves the baseline by 14.34%. [2025-12-03T23:21:08.928Z] Top recommended movies for user id 72: [2025-12-03T23:21:08.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:21:08.928Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:21:08.928Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:21:08.928Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:21:08.928Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:21:08.928Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29983.818 ms) ====== [2025-12-03T23:21:08.928Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T23:21:08.928Z] GC before operation: completed in 197.004 ms, heap usage 187.036 MB -> 88.581 MB. [2025-12-03T23:21:13.349Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:21:16.382Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:21:21.458Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:21:25.411Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:21:27.655Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:21:30.840Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:21:33.932Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:21:37.037Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:21:37.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:21:37.037Z] The best model improves the baseline by 14.34%. [2025-12-03T23:21:37.037Z] Top recommended movies for user id 72: [2025-12-03T23:21:37.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:21:37.037Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:21:37.037Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:21:37.037Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:21:37.037Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:21:37.037Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28232.787 ms) ====== [2025-12-03T23:21:37.037Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T23:21:37.723Z] GC before operation: completed in 245.772 ms, heap usage 218.227 MB -> 88.780 MB. [2025-12-03T23:21:41.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:21:46.480Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:21:51.442Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:21:55.597Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:21:57.753Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:22:00.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:22:02.339Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:22:05.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:22:05.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:22:05.498Z] The best model improves the baseline by 14.34%. [2025-12-03T23:22:05.498Z] Top recommended movies for user id 72: [2025-12-03T23:22:05.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:22:05.498Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:22:05.498Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:22:05.498Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:22:05.498Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:22:05.498Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28287.572 ms) ====== [2025-12-03T23:22:05.498Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T23:22:06.200Z] GC before operation: completed in 288.718 ms, heap usage 222.119 MB -> 88.941 MB. [2025-12-03T23:22:09.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:22:14.851Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:22:18.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:22:23.965Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:22:26.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:22:28.356Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:22:31.389Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:22:33.581Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:22:33.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:22:33.581Z] The best model improves the baseline by 14.34%. [2025-12-03T23:22:34.244Z] Top recommended movies for user id 72: [2025-12-03T23:22:34.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:22:34.244Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:22:34.244Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:22:34.244Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:22:34.244Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:22:34.244Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27922.789 ms) ====== [2025-12-03T23:22:34.244Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T23:22:34.244Z] GC before operation: completed in 170.425 ms, heap usage 244.195 MB -> 89.134 MB. [2025-12-03T23:22:39.673Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:22:42.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:22:47.872Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:22:51.895Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:22:54.052Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:22:57.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:23:00.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:23:02.482Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:23:03.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:23:03.379Z] The best model improves the baseline by 14.34%. [2025-12-03T23:23:03.379Z] Top recommended movies for user id 72: [2025-12-03T23:23:03.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:23:03.379Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:23:03.379Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:23:03.379Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:23:03.379Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:23:03.379Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29445.502 ms) ====== [2025-12-03T23:23:03.379Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T23:23:04.136Z] GC before operation: completed in 393.449 ms, heap usage 199.064 MB -> 89.081 MB. [2025-12-03T23:23:08.681Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:23:12.752Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:23:17.772Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:23:21.779Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:23:23.977Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:23:27.181Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:23:30.297Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:23:33.397Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:23:33.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:23:33.397Z] The best model improves the baseline by 14.34%. [2025-12-03T23:23:33.397Z] Top recommended movies for user id 72: [2025-12-03T23:23:33.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:23:33.397Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:23:33.397Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:23:33.397Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:23:33.397Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:23:33.397Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29761.104 ms) ====== [2025-12-03T23:23:33.397Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T23:23:34.097Z] GC before operation: completed in 208.510 ms, heap usage 176.586 MB -> 89.268 MB. [2025-12-03T23:23:38.423Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:23:42.549Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:23:47.827Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:23:51.937Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:23:55.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:23:57.226Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:23:59.493Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:24:02.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:24:03.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:24:03.338Z] The best model improves the baseline by 14.34%. [2025-12-03T23:24:03.338Z] Top recommended movies for user id 72: [2025-12-03T23:24:03.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:24:03.338Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:24:03.338Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:24:03.338Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:24:03.338Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:24:03.338Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29507.116 ms) ====== [2025-12-03T23:24:03.338Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T23:24:04.026Z] GC before operation: completed in 248.412 ms, heap usage 200.707 MB -> 89.137 MB. [2025-12-03T23:24:08.574Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:24:13.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:24:17.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:24:21.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:24:23.799Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:24:26.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:24:29.121Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:24:31.400Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:24:32.062Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:24:32.062Z] The best model improves the baseline by 14.34%. [2025-12-03T23:24:32.062Z] Top recommended movies for user id 72: [2025-12-03T23:24:32.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:24:32.062Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:24:32.062Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:24:32.062Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:24:32.062Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:24:32.062Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28358.611 ms) ====== [2025-12-03T23:24:32.062Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T23:24:32.062Z] GC before operation: completed in 277.412 ms, heap usage 162.705 MB -> 89.381 MB. [2025-12-03T23:24:36.073Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:24:41.772Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:24:45.039Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:24:49.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:24:51.708Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:24:54.890Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:24:57.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:25:00.339Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:25:00.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:25:00.339Z] The best model improves the baseline by 14.34%. [2025-12-03T23:25:00.339Z] Top recommended movies for user id 72: [2025-12-03T23:25:00.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:25:00.339Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:25:00.339Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:25:00.339Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:25:00.339Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:25:00.339Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28152.909 ms) ====== [2025-12-03T23:25:00.339Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T23:25:00.995Z] GC before operation: completed in 240.720 ms, heap usage 195.875 MB -> 89.096 MB. [2025-12-03T23:25:05.190Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:25:09.266Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:25:13.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:25:17.182Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:25:19.336Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:25:22.356Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:25:24.587Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:25:27.914Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:25:28.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:25:28.672Z] The best model improves the baseline by 14.34%. [2025-12-03T23:25:28.672Z] Top recommended movies for user id 72: [2025-12-03T23:25:28.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:25:28.672Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:25:28.672Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:25:28.672Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:25:28.672Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:25:28.672Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27948.532 ms) ====== [2025-12-03T23:25:28.672Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T23:25:28.672Z] GC before operation: completed in 270.368 ms, heap usage 148.099 MB -> 89.296 MB. [2025-12-03T23:25:32.599Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:25:37.041Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:25:42.035Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:25:45.357Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:25:49.446Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:25:51.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:25:54.697Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:25:56.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:25:57.684Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:25:57.684Z] The best model improves the baseline by 14.34%. [2025-12-03T23:25:57.684Z] Top recommended movies for user id 72: [2025-12-03T23:25:57.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:25:57.684Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:25:57.684Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:25:57.684Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:25:57.684Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:25:57.684Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28799.716 ms) ====== [2025-12-03T23:25:57.684Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T23:25:57.684Z] GC before operation: completed in 235.609 ms, heap usage 429.410 MB -> 89.970 MB. [2025-12-03T23:26:01.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:26:06.161Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:26:10.198Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:26:13.352Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:26:16.578Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:26:19.585Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:26:21.927Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:26:24.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:26:24.879Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:26:24.879Z] The best model improves the baseline by 14.34%. [2025-12-03T23:26:24.879Z] Top recommended movies for user id 72: [2025-12-03T23:26:24.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:26:24.879Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:26:24.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:26:24.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:26:24.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:26:24.879Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27141.333 ms) ====== [2025-12-03T23:26:24.879Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T23:26:25.718Z] GC before operation: completed in 235.216 ms, heap usage 233.998 MB -> 89.336 MB. [2025-12-03T23:26:29.799Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:26:34.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:26:40.730Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:26:43.857Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:26:46.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:26:49.927Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:26:53.006Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:26:55.358Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:26:56.025Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:26:56.025Z] The best model improves the baseline by 14.34%. [2025-12-03T23:26:56.675Z] Top recommended movies for user id 72: [2025-12-03T23:26:56.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:26:56.675Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:26:56.675Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:26:56.675Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:26:56.675Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:26:56.675Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31036.021 ms) ====== [2025-12-03T23:26:56.675Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T23:26:56.675Z] GC before operation: completed in 300.012 ms, heap usage 222.018 MB -> 89.575 MB. [2025-12-03T23:27:01.771Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:27:06.308Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:27:11.518Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:27:15.655Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:27:18.948Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:27:21.173Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:27:24.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:27:27.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:27:27.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:27:27.440Z] The best model improves the baseline by 14.34%. [2025-12-03T23:27:28.093Z] Top recommended movies for user id 72: [2025-12-03T23:27:28.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:27:28.093Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:27:28.093Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:27:28.093Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:27:28.093Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:27:28.093Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31143.218 ms) ====== [2025-12-03T23:27:28.093Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T23:27:28.093Z] GC before operation: completed in 197.235 ms, heap usage 315.580 MB -> 89.586 MB. [2025-12-03T23:27:32.170Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:27:36.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:27:41.719Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:27:45.863Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:27:48.886Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:27:51.913Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:27:55.029Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:27:57.279Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:27:57.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:27:57.968Z] The best model improves the baseline by 14.34%. [2025-12-03T23:27:57.968Z] Top recommended movies for user id 72: [2025-12-03T23:27:57.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:27:57.968Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:27:57.968Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:27:57.968Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:27:57.968Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:27:57.968Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (29870.433 ms) ====== [2025-12-03T23:27:57.968Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T23:27:57.968Z] GC before operation: completed in 200.545 ms, heap usage 176.901 MB -> 89.444 MB. [2025-12-03T23:28:03.084Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:28:06.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:28:11.800Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:28:15.772Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:28:18.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:28:21.056Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:28:24.073Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:28:27.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:28:27.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:28:27.959Z] The best model improves the baseline by 14.34%. [2025-12-03T23:28:27.959Z] Top recommended movies for user id 72: [2025-12-03T23:28:27.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:28:27.960Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:28:27.960Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:28:27.960Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:28:27.960Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:28:27.960Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29795.134 ms) ====== [2025-12-03T23:28:27.960Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T23:28:27.960Z] GC before operation: completed in 198.378 ms, heap usage 141.326 MB -> 89.288 MB. [2025-12-03T23:28:32.529Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:28:36.659Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:28:41.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:28:44.983Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:28:47.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:28:50.377Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:28:52.882Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:28:55.063Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:28:55.775Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:28:55.775Z] The best model improves the baseline by 14.34%. [2025-12-03T23:28:55.775Z] Top recommended movies for user id 72: [2025-12-03T23:28:55.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:28:55.775Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:28:55.775Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:28:55.775Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:28:55.775Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:28:55.775Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27684.518 ms) ====== [2025-12-03T23:28:55.775Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T23:28:55.775Z] GC before operation: completed in 181.706 ms, heap usage 354.909 MB -> 89.694 MB. [2025-12-03T23:29:00.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:29:04.820Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:29:09.103Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:29:14.349Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:29:16.591Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:29:19.745Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:29:22.156Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:29:25.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:29:25.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:29:25.321Z] The best model improves the baseline by 14.34%. [2025-12-03T23:29:26.060Z] Top recommended movies for user id 72: [2025-12-03T23:29:26.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:29:26.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:29:26.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:29:26.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:29:26.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:29:26.060Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29955.784 ms) ====== [2025-12-03T23:29:27.539Z] ----------------------------------- [2025-12-03T23:29:27.539Z] renaissance-movie-lens_0_PASSED [2025-12-03T23:29:27.539Z] ----------------------------------- [2025-12-03T23:29:27.539Z] [2025-12-03T23:29:27.539Z] TEST TEARDOWN: [2025-12-03T23:29:27.539Z] Nothing to be done for teardown. [2025-12-03T23:29:27.539Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 23:29:26 2025 Epoch Time (ms): 1764804566805