[2025-05-17T05:28:18.894Z] Running test renaissance-movie-lens_0 ... [2025-05-17T05:28:18.894Z] =============================================== [2025-05-17T05:28:18.894Z] renaissance-movie-lens_0 Start Time: Sat May 17 05:28:18 2025 Epoch Time (ms): 1747459698359 [2025-05-17T05:28:18.894Z] variation: NoOptions [2025-05-17T05:28:18.894Z] JVM_OPTIONS: [2025-05-17T05:28:18.894Z] { \ [2025-05-17T05:28:18.894Z] echo ""; echo "TEST SETUP:"; \ [2025-05-17T05:28:18.894Z] echo "Nothing to be done for setup."; \ [2025-05-17T05:28:18.894Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474575368695/renaissance-movie-lens_0"; \ [2025-05-17T05:28:18.894Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474575368695/renaissance-movie-lens_0"; \ [2025-05-17T05:28:18.894Z] echo ""; echo "TESTING:"; \ [2025-05-17T05:28:18.894Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474575368695/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-17T05:28:18.894Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474575368695/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-17T05:28:18.894Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-17T05:28:18.894Z] echo "Nothing to be done for teardown."; \ [2025-05-17T05:28:18.894Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17474575368695/TestTargetResult"; [2025-05-17T05:28:18.894Z] [2025-05-17T05:28:18.894Z] TEST SETUP: [2025-05-17T05:28:18.894Z] Nothing to be done for setup. [2025-05-17T05:28:18.894Z] [2025-05-17T05:28:18.894Z] TESTING: [2025-05-17T05:28:23.656Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-17T05:28:32.288Z] 05:28:31.250 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-05-17T05:28:34.350Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-17T05:28:35.681Z] Training: 60056, validation: 20285, test: 19854 [2025-05-17T05:28:35.681Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-17T05:28:35.681Z] GC before operation: completed in 134.865 ms, heap usage 180.213 MB -> 74.312 MB. [2025-05-17T05:28:44.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:28:49.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:28:53.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:28:58.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:29:00.799Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:29:03.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:29:05.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:29:07.812Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:29:07.812Z] 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. [2025-05-17T05:29:07.812Z] The best model improves the baseline by 14.34%. [2025-05-17T05:29:08.450Z] Top recommended movies for user id 72: [2025-05-17T05:29:08.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:29:08.450Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:29:08.450Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:29:08.450Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:29:08.450Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:29:08.450Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32686.294 ms) ====== [2025-05-17T05:29:08.450Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-17T05:29:08.450Z] GC before operation: completed in 197.953 ms, heap usage 156.640 MB -> 84.773 MB. [2025-05-17T05:29:12.222Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:29:15.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:29:19.185Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:29:21.247Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:29:23.310Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:29:25.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:29:27.414Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:29:28.727Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:29:29.358Z] 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. [2025-05-17T05:29:29.358Z] The best model improves the baseline by 14.34%. [2025-05-17T05:29:29.358Z] Top recommended movies for user id 72: [2025-05-17T05:29:29.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:29:29.358Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:29:29.358Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:29:29.358Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:29:29.358Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:29:29.358Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20779.755 ms) ====== [2025-05-17T05:29:29.358Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-17T05:29:29.358Z] GC before operation: completed in 149.854 ms, heap usage 265.676 MB -> 86.728 MB. [2025-05-17T05:29:32.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:29:35.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:29:38.878Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:29:41.755Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:29:43.812Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:29:45.139Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:29:47.203Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:29:49.261Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:29:49.261Z] 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. [2025-05-17T05:29:49.261Z] The best model improves the baseline by 14.34%. [2025-05-17T05:29:49.261Z] Top recommended movies for user id 72: [2025-05-17T05:29:49.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:29:49.261Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:29:49.261Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:29:49.261Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:29:49.261Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:29:49.261Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19786.840 ms) ====== [2025-05-17T05:29:49.261Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-17T05:29:49.261Z] GC before operation: completed in 146.588 ms, heap usage 281.922 MB -> 87.317 MB. [2025-05-17T05:29:52.541Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:29:55.412Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:29:59.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:30:01.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:30:03.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:30:04.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:30:06.693Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:30:08.021Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:30:08.653Z] 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. [2025-05-17T05:30:08.653Z] The best model improves the baseline by 14.34%. [2025-05-17T05:30:08.653Z] Top recommended movies for user id 72: [2025-05-17T05:30:08.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:30:08.653Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:30:08.653Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:30:08.653Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:30:08.653Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:30:08.653Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19273.566 ms) ====== [2025-05-17T05:30:08.653Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-17T05:30:08.653Z] GC before operation: completed in 154.373 ms, heap usage 219.232 MB -> 87.516 MB. [2025-05-17T05:30:11.545Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:30:14.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:30:16.479Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:30:19.363Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:30:20.677Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:30:21.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:30:23.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:30:25.376Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:30:25.376Z] 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. [2025-05-17T05:30:25.376Z] The best model improves the baseline by 14.34%. [2025-05-17T05:30:26.007Z] Top recommended movies for user id 72: [2025-05-17T05:30:26.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:30:26.007Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:30:26.007Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:30:26.007Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:30:26.007Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:30:26.007Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16836.441 ms) ====== [2025-05-17T05:30:26.007Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-17T05:30:26.007Z] GC before operation: completed in 161.069 ms, heap usage 149.492 MB -> 87.437 MB. [2025-05-17T05:30:29.254Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:30:31.315Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:30:34.187Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:30:37.057Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:30:38.386Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:30:39.732Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:30:41.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:30:43.113Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:30:43.113Z] 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. [2025-05-17T05:30:43.113Z] The best model improves the baseline by 14.34%. [2025-05-17T05:30:43.748Z] Top recommended movies for user id 72: [2025-05-17T05:30:43.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:30:43.748Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:30:43.748Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:30:43.748Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:30:43.748Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:30:43.748Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17635.413 ms) ====== [2025-05-17T05:30:43.748Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-17T05:30:43.748Z] GC before operation: completed in 143.743 ms, heap usage 170.313 MB -> 87.744 MB. [2025-05-17T05:30:46.618Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:30:48.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:30:51.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:30:54.418Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:30:55.741Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:30:57.799Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:30:59.874Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:31:01.186Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:31:01.186Z] 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. [2025-05-17T05:31:01.186Z] The best model improves the baseline by 14.34%. [2025-05-17T05:31:01.186Z] Top recommended movies for user id 72: [2025-05-17T05:31:01.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:31:01.186Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:31:01.186Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:31:01.186Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:31:01.186Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:31:01.186Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17749.774 ms) ====== [2025-05-17T05:31:01.186Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-17T05:31:01.818Z] GC before operation: completed in 161.600 ms, heap usage 97.577 MB -> 87.470 MB. [2025-05-17T05:31:04.263Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:31:07.137Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:31:10.009Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:31:12.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:31:13.383Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:31:15.447Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:31:17.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:31:18.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:31:18.813Z] 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. [2025-05-17T05:31:18.813Z] The best model improves the baseline by 14.34%. [2025-05-17T05:31:18.813Z] Top recommended movies for user id 72: [2025-05-17T05:31:18.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:31:18.813Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:31:18.813Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:31:18.813Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:31:18.813Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:31:18.813Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17479.632 ms) ====== [2025-05-17T05:31:18.813Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-17T05:31:19.444Z] GC before operation: completed in 147.580 ms, heap usage 282.343 MB -> 88.053 MB. [2025-05-17T05:31:22.321Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:31:24.432Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:31:26.486Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:31:29.352Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:31:30.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:31:32.727Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:31:34.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:31:35.350Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:31:36.352Z] 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. [2025-05-17T05:31:36.352Z] The best model improves the baseline by 14.34%. [2025-05-17T05:31:36.352Z] Top recommended movies for user id 72: [2025-05-17T05:31:36.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:31:36.352Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:31:36.352Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:31:36.352Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:31:36.352Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:31:36.352Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16912.969 ms) ====== [2025-05-17T05:31:36.352Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-17T05:31:36.352Z] GC before operation: completed in 177.425 ms, heap usage 144.644 MB -> 87.642 MB. [2025-05-17T05:31:39.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:31:41.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:31:44.171Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:31:46.221Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:31:48.272Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:31:49.588Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:31:50.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:31:52.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:31:52.954Z] 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. [2025-05-17T05:31:52.954Z] The best model improves the baseline by 14.34%. [2025-05-17T05:31:52.954Z] Top recommended movies for user id 72: [2025-05-17T05:31:52.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:31:52.954Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:31:52.954Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:31:52.954Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:31:52.954Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:31:52.954Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16957.243 ms) ====== [2025-05-17T05:31:52.954Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-17T05:31:53.593Z] GC before operation: completed in 145.357 ms, heap usage 157.173 MB -> 87.972 MB. [2025-05-17T05:31:55.661Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:31:58.538Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:32:01.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:32:03.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:32:05.548Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:32:06.855Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:32:08.190Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:32:09.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:32:10.140Z] 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. [2025-05-17T05:32:10.140Z] The best model improves the baseline by 14.34%. [2025-05-17T05:32:10.140Z] Top recommended movies for user id 72: [2025-05-17T05:32:10.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:32:10.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:32:10.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:32:10.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:32:10.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:32:10.140Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16628.646 ms) ====== [2025-05-17T05:32:10.140Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-17T05:32:10.140Z] GC before operation: completed in 141.683 ms, heap usage 121.171 MB -> 87.609 MB. [2025-05-17T05:32:13.035Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:32:15.904Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:32:17.991Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:32:20.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:32:21.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:32:22.910Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:32:24.972Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:32:26.284Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:32:26.284Z] 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. [2025-05-17T05:32:26.284Z] The best model improves the baseline by 14.34%. [2025-05-17T05:32:26.284Z] Top recommended movies for user id 72: [2025-05-17T05:32:26.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:32:26.284Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:32:26.284Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:32:26.284Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:32:26.284Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:32:26.284Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16422.252 ms) ====== [2025-05-17T05:32:26.284Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-17T05:32:26.914Z] GC before operation: completed in 142.195 ms, heap usage 113.728 MB -> 87.789 MB. [2025-05-17T05:32:28.975Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:32:31.039Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:32:33.902Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:32:35.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:32:37.274Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:32:38.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:32:39.904Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:32:41.961Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:32:41.961Z] 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. [2025-05-17T05:32:41.961Z] The best model improves the baseline by 14.34%. [2025-05-17T05:32:41.961Z] Top recommended movies for user id 72: [2025-05-17T05:32:41.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:32:41.961Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:32:41.961Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:32:41.961Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:32:41.961Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:32:41.961Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15426.442 ms) ====== [2025-05-17T05:32:41.961Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-17T05:32:42.594Z] GC before operation: completed in 159.247 ms, heap usage 360.220 MB -> 88.285 MB. [2025-05-17T05:32:45.063Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:32:47.941Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:32:49.994Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:32:52.050Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:32:53.363Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:32:55.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:32:56.738Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:32:58.050Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:32:58.050Z] 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. [2025-05-17T05:32:58.050Z] The best model improves the baseline by 14.34%. [2025-05-17T05:32:58.678Z] Top recommended movies for user id 72: [2025-05-17T05:32:58.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:32:58.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:32:58.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:32:58.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:32:58.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:32:58.678Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16076.272 ms) ====== [2025-05-17T05:32:58.678Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-17T05:32:58.678Z] GC before operation: completed in 140.989 ms, heap usage 111.163 MB -> 87.744 MB. [2025-05-17T05:33:00.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:33:02.818Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:33:05.690Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:33:07.740Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:33:09.048Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:33:10.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:33:12.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:33:13.070Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:33:13.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-17T05:33:13.704Z] The best model improves the baseline by 14.34%. [2025-05-17T05:33:13.704Z] Top recommended movies for user id 72: [2025-05-17T05:33:13.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:33:13.704Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:33:13.704Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:33:13.704Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:33:13.704Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:33:13.704Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15240.268 ms) ====== [2025-05-17T05:33:13.704Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-17T05:33:13.704Z] GC before operation: completed in 158.961 ms, heap usage 383.587 MB -> 88.466 MB. [2025-05-17T05:33:16.574Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:33:19.453Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:33:21.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:33:23.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:33:24.948Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:33:26.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:33:28.316Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:33:29.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:33:29.623Z] 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. [2025-05-17T05:33:29.623Z] The best model improves the baseline by 14.34%. [2025-05-17T05:33:29.623Z] Top recommended movies for user id 72: [2025-05-17T05:33:29.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:33:29.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:33:29.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:33:29.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:33:29.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:33:29.623Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15945.413 ms) ====== [2025-05-17T05:33:29.623Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-17T05:33:30.252Z] GC before operation: completed in 142.166 ms, heap usage 95.431 MB -> 87.788 MB. [2025-05-17T05:33:32.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:33:34.385Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:33:37.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:33:38.576Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:33:39.896Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:33:41.209Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:33:43.271Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:33:44.585Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:33:44.585Z] 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. [2025-05-17T05:33:44.585Z] The best model improves the baseline by 14.34%. [2025-05-17T05:33:44.585Z] Top recommended movies for user id 72: [2025-05-17T05:33:44.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:33:44.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:33:44.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:33:44.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:33:44.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:33:44.585Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14841.060 ms) ====== [2025-05-17T05:33:44.585Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-17T05:33:45.218Z] GC before operation: completed in 173.843 ms, heap usage 165.839 MB -> 88.040 MB. [2025-05-17T05:33:48.086Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:33:50.150Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:33:53.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:33:55.293Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:33:56.609Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:33:57.923Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:33:59.981Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:34:01.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:34:01.288Z] 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. [2025-05-17T05:34:01.288Z] The best model improves the baseline by 14.34%. [2025-05-17T05:34:01.288Z] Top recommended movies for user id 72: [2025-05-17T05:34:01.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:34:01.288Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:34:01.288Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:34:01.288Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:34:01.288Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:34:01.288Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16453.625 ms) ====== [2025-05-17T05:34:01.288Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-17T05:34:01.924Z] GC before operation: completed in 145.690 ms, heap usage 120.887 MB -> 87.760 MB. [2025-05-17T05:34:03.977Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:34:06.851Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:34:09.730Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:34:11.780Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:34:13.095Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:34:14.410Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:34:16.463Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:34:17.778Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:34:18.419Z] 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. [2025-05-17T05:34:18.419Z] The best model improves the baseline by 14.34%. [2025-05-17T05:34:18.419Z] Top recommended movies for user id 72: [2025-05-17T05:34:18.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:34:18.419Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:34:18.419Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:34:18.419Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:34:18.419Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:34:18.419Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16648.451 ms) ====== [2025-05-17T05:34:18.419Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-17T05:34:18.419Z] GC before operation: completed in 142.028 ms, heap usage 207.114 MB -> 87.944 MB. [2025-05-17T05:34:21.299Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T05:34:23.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T05:34:26.260Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T05:34:27.948Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T05:34:29.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T05:34:30.581Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T05:34:31.894Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T05:34:33.963Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T05:34:33.963Z] 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. [2025-05-17T05:34:33.963Z] The best model improves the baseline by 14.34%. [2025-05-17T05:34:33.963Z] Top recommended movies for user id 72: [2025-05-17T05:34:33.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-17T05:34:33.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-17T05:34:33.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-17T05:34:33.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-17T05:34:33.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-17T05:34:33.963Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15628.732 ms) ====== [2025-05-17T05:34:34.596Z] ----------------------------------- [2025-05-17T05:34:34.596Z] renaissance-movie-lens_0_PASSED [2025-05-17T05:34:34.596Z] ----------------------------------- [2025-05-17T05:34:34.596Z] [2025-05-17T05:34:34.596Z] TEST TEARDOWN: [2025-05-17T05:34:34.596Z] Nothing to be done for teardown. [2025-05-17T05:34:34.596Z] renaissance-movie-lens_0 Finish Time: Sat May 17 05:34:34 2025 Epoch Time (ms): 1747460074148