[2025-11-20T04:14:02.585Z] Running test renaissance-movie-lens_0 ... [2025-11-20T04:14:02.912Z] =============================================== [2025-11-20T04:14:02.912Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 04:14:02 2025 Epoch Time (ms): 1763612042783 [2025-11-20T04:14:02.912Z] variation: NoOptions [2025-11-20T04:14:03.263Z] JVM_OPTIONS: [2025-11-20T04:14:03.263Z] { \ [2025-11-20T04:14:03.263Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T04:14:03.263Z] echo "Nothing to be done for setup."; \ [2025-11-20T04:14:03.263Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636100264606\\renaissance-movie-lens_0"; \ [2025-11-20T04:14:03.263Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636100264606\\renaissance-movie-lens_0"; \ [2025-11-20T04:14:03.263Z] echo ""; echo "TESTING:"; \ [2025-11-20T04:14:03.263Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636100264606\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-11-20T04:14:03.263Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636100264606\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T04:14:03.263Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T04:14:03.263Z] echo "Nothing to be done for teardown."; \ [2025-11-20T04:14:03.263Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636100264606\\TestTargetResult"; [2025-11-20T04:14:03.263Z] [2025-11-20T04:14:03.263Z] TEST SETUP: [2025-11-20T04:14:03.263Z] Nothing to be done for setup. [2025-11-20T04:14:03.263Z] [2025-11-20T04:14:03.263Z] TESTING: [2025-11-20T04:14:19.095Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-20T04:14:24.305Z] 04:14:23.579 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-20T04:14:26.305Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T04:14:26.699Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T04:14:26.699Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T04:14:26.699Z] GC before operation: completed in 131.819 ms, heap usage 626.607 MB -> 76.215 MB. [2025-11-20T04:14:43.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:14:52.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:15:01.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:15:11.963Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:15:15.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:15:21.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:15:26.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:15:31.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:15:31.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:15:31.309Z] The best model improves the baseline by 14.52%. [2025-11-20T04:15:31.683Z] Top recommended movies for user id 72: [2025-11-20T04:15:31.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:15:31.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:15:31.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:15:31.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:15:31.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:15:31.683Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (64848.016 ms) ====== [2025-11-20T04:15:31.683Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T04:15:31.683Z] GC before operation: completed in 116.475 ms, heap usage 442.925 MB -> 92.696 MB. [2025-11-20T04:15:40.566Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:15:47.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:15:56.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:16:04.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:16:07.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:16:12.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:16:17.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:16:21.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:16:21.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:16:21.612Z] The best model improves the baseline by 14.52%. [2025-11-20T04:16:21.982Z] Top recommended movies for user id 72: [2025-11-20T04:16:21.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:16:21.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:16:21.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:16:21.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:16:21.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:16:21.982Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (50241.251 ms) ====== [2025-11-20T04:16:21.982Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T04:16:21.982Z] GC before operation: completed in 111.288 ms, heap usage 286.774 MB -> 90.005 MB. [2025-11-20T04:16:30.867Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:16:38.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:16:47.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:16:53.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:16:56.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:17:01.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:17:07.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:17:11.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:17:12.099Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:17:12.099Z] The best model improves the baseline by 14.52%. [2025-11-20T04:17:12.099Z] Top recommended movies for user id 72: [2025-11-20T04:17:12.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:17:12.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:17:12.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:17:12.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:17:12.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:17:12.099Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (50120.380 ms) ====== [2025-11-20T04:17:12.099Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T04:17:12.492Z] GC before operation: completed in 114.129 ms, heap usage 182.769 MB -> 91.145 MB. [2025-11-20T04:17:19.746Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:17:28.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:17:35.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:17:43.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:17:47.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:17:51.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:17:56.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:18:01.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:18:01.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:18:01.317Z] The best model improves the baseline by 14.52%. [2025-11-20T04:18:01.317Z] Top recommended movies for user id 72: [2025-11-20T04:18:01.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:18:01.317Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:18:01.317Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:18:01.317Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:18:01.317Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:18:01.317Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49042.364 ms) ====== [2025-11-20T04:18:01.317Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T04:18:01.659Z] GC before operation: completed in 158.326 ms, heap usage 126.564 MB -> 89.586 MB. [2025-11-20T04:18:10.567Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:18:17.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:18:25.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:18:32.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:18:37.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:18:41.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:18:46.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:18:50.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:18:51.473Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:18:51.473Z] The best model improves the baseline by 14.52%. [2025-11-20T04:18:51.473Z] Top recommended movies for user id 72: [2025-11-20T04:18:51.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:18:51.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:18:51.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:18:51.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:18:51.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:18:51.473Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50045.056 ms) ====== [2025-11-20T04:18:51.473Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T04:18:51.820Z] GC before operation: completed in 124.560 ms, heap usage 230.360 MB -> 89.670 MB. [2025-11-20T04:19:00.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:19:09.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:19:16.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:19:24.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:19:29.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:19:33.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:19:38.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:19:42.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:19:42.799Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:19:42.799Z] The best model improves the baseline by 14.52%. [2025-11-20T04:19:42.799Z] Top recommended movies for user id 72: [2025-11-20T04:19:42.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:19:42.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:19:42.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:19:42.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:19:42.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:19:42.799Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51180.538 ms) ====== [2025-11-20T04:19:42.799Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T04:19:43.149Z] GC before operation: completed in 114.903 ms, heap usage 358.379 MB -> 92.468 MB. [2025-11-20T04:19:50.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:19:57.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:20:06.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:20:14.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:20:18.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:20:21.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:20:26.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:20:30.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:20:30.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:20:30.704Z] The best model improves the baseline by 14.52%. [2025-11-20T04:20:31.030Z] Top recommended movies for user id 72: [2025-11-20T04:20:31.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:20:31.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:20:31.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:20:31.031Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:20:31.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:20:31.031Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (48010.247 ms) ====== [2025-11-20T04:20:31.031Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T04:20:31.031Z] GC before operation: completed in 110.652 ms, heap usage 368.391 MB -> 90.263 MB. [2025-11-20T04:20:39.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:20:48.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:20:57.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:21:03.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:21:08.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:21:13.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:21:17.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:21:21.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:21:22.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:21:22.566Z] The best model improves the baseline by 14.52%. [2025-11-20T04:21:22.566Z] Top recommended movies for user id 72: [2025-11-20T04:21:22.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:21:22.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:21:22.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:21:22.566Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:21:22.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:21:22.566Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51554.573 ms) ====== [2025-11-20T04:21:22.566Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T04:21:22.921Z] GC before operation: completed in 122.887 ms, heap usage 220.551 MB -> 91.953 MB. [2025-11-20T04:21:30.204Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:21:39.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:21:46.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:21:55.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:21:59.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:22:02.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:22:07.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:22:12.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:22:12.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:22:12.554Z] The best model improves the baseline by 14.52%. [2025-11-20T04:22:12.923Z] Top recommended movies for user id 72: [2025-11-20T04:22:12.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:22:12.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:22:12.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:22:12.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:22:12.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:22:12.923Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50215.971 ms) ====== [2025-11-20T04:22:12.923Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T04:22:13.280Z] GC before operation: completed in 110.684 ms, heap usage 284.278 MB -> 90.247 MB. [2025-11-20T04:22:22.169Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:22:29.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:22:38.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:22:44.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:22:48.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:22:52.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:22:57.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:23:02.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:23:02.756Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:23:02.756Z] The best model improves the baseline by 14.52%. [2025-11-20T04:23:02.756Z] Top recommended movies for user id 72: [2025-11-20T04:23:02.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:23:02.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:23:02.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:23:02.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:23:02.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:23:02.756Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49701.346 ms) ====== [2025-11-20T04:23:02.756Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T04:23:03.103Z] GC before operation: completed in 126.503 ms, heap usage 367.298 MB -> 91.683 MB. [2025-11-20T04:23:10.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:23:17.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:23:26.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:23:33.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:23:37.674Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:23:41.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:23:46.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:23:50.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:23:50.376Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:23:50.791Z] The best model improves the baseline by 14.52%. [2025-11-20T04:23:50.791Z] Top recommended movies for user id 72: [2025-11-20T04:23:50.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:23:50.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:23:50.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:23:50.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:23:50.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:23:50.791Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47949.083 ms) ====== [2025-11-20T04:23:50.791Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T04:23:51.153Z] GC before operation: completed in 114.888 ms, heap usage 165.644 MB -> 90.016 MB. [2025-11-20T04:23:58.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:24:05.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:24:14.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:24:20.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:24:25.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:24:29.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:24:33.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:24:37.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:24:37.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:24:37.994Z] The best model improves the baseline by 14.52%. [2025-11-20T04:24:38.337Z] Top recommended movies for user id 72: [2025-11-20T04:24:38.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:24:38.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:24:38.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:24:38.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:24:38.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:24:38.337Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47313.001 ms) ====== [2025-11-20T04:24:38.337Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T04:24:38.337Z] GC before operation: completed in 115.531 ms, heap usage 863.187 MB -> 94.834 MB. [2025-11-20T04:24:47.239Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:24:54.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:25:03.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:25:09.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:25:14.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:25:18.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:25:23.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:25:27.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:25:28.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:25:28.339Z] The best model improves the baseline by 14.52%. [2025-11-20T04:25:28.339Z] Top recommended movies for user id 72: [2025-11-20T04:25:28.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:25:28.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:25:28.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:25:28.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:25:28.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:25:28.339Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50003.158 ms) ====== [2025-11-20T04:25:28.339Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T04:25:28.702Z] GC before operation: completed in 112.487 ms, heap usage 295.396 MB -> 90.619 MB. [2025-11-20T04:25:35.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:25:43.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:25:52.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:25:59.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:26:03.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:26:07.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:26:11.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:26:15.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:26:16.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:26:16.388Z] The best model improves the baseline by 14.52%. [2025-11-20T04:26:16.740Z] Top recommended movies for user id 72: [2025-11-20T04:26:16.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:26:16.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:26:16.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:26:16.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:26:16.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:26:16.740Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47939.328 ms) ====== [2025-11-20T04:26:16.740Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T04:26:16.740Z] GC before operation: completed in 121.152 ms, heap usage 282.206 MB -> 90.324 MB. [2025-11-20T04:26:25.671Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:26:34.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:26:43.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:26:49.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:26:54.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:26:57.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:27:02.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:27:07.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:27:07.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:27:07.636Z] The best model improves the baseline by 14.52%. [2025-11-20T04:27:07.988Z] Top recommended movies for user id 72: [2025-11-20T04:27:07.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:27:07.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:27:07.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:27:07.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:27:07.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:27:07.988Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51357.548 ms) ====== [2025-11-20T04:27:07.988Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T04:27:07.988Z] GC before operation: completed in 117.991 ms, heap usage 312.192 MB -> 94.178 MB. [2025-11-20T04:27:15.392Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:27:24.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:27:31.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:27:38.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:27:43.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:27:47.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:27:53.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:27:57.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:27:57.217Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:27:57.217Z] The best model improves the baseline by 14.52%. [2025-11-20T04:27:57.558Z] Top recommended movies for user id 72: [2025-11-20T04:27:57.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:27:57.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:27:57.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:27:57.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:27:57.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:27:57.558Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49470.294 ms) ====== [2025-11-20T04:27:57.558Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T04:27:57.558Z] GC before operation: completed in 109.123 ms, heap usage 378.886 MB -> 93.768 MB. [2025-11-20T04:28:04.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:28:12.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:28:21.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:28:28.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:28:32.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:28:35.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:28:40.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:28:44.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:28:45.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:28:45.182Z] The best model improves the baseline by 14.52%. [2025-11-20T04:28:45.523Z] Top recommended movies for user id 72: [2025-11-20T04:28:45.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:28:45.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:28:45.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:28:45.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:28:45.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:28:45.523Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47828.947 ms) ====== [2025-11-20T04:28:45.523Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T04:28:45.523Z] GC before operation: completed in 121.659 ms, heap usage 296.048 MB -> 90.608 MB. [2025-11-20T04:28:56.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:29:02.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:29:11.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:29:18.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:29:21.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:29:26.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:29:31.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:29:35.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:29:35.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:29:35.521Z] The best model improves the baseline by 14.52%. [2025-11-20T04:29:35.869Z] Top recommended movies for user id 72: [2025-11-20T04:29:35.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:29:35.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:29:35.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:29:35.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:29:35.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:29:35.869Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50267.458 ms) ====== [2025-11-20T04:29:35.869Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T04:29:35.869Z] GC before operation: completed in 106.451 ms, heap usage 228.337 MB -> 93.438 MB. [2025-11-20T04:29:43.170Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:29:50.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:29:59.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:30:06.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:30:10.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:30:15.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:30:20.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:30:24.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:30:24.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:30:24.887Z] The best model improves the baseline by 14.52%. [2025-11-20T04:30:24.887Z] Top recommended movies for user id 72: [2025-11-20T04:30:24.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:30:24.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:30:24.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:30:24.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:30:24.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:30:24.887Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48965.742 ms) ====== [2025-11-20T04:30:24.887Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T04:30:25.300Z] GC before operation: completed in 110.410 ms, heap usage 236.922 MB -> 92.774 MB. [2025-11-20T04:30:32.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T04:30:41.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T04:30:48.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T04:30:56.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T04:30:59.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T04:31:03.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T04:31:08.528Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T04:31:13.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T04:31:14.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T04:31:14.036Z] The best model improves the baseline by 14.52%. [2025-11-20T04:31:14.397Z] Top recommended movies for user id 72: [2025-11-20T04:31:14.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T04:31:14.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T04:31:14.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T04:31:14.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T04:31:14.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T04:31:14.397Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49219.723 ms) ====== [2025-11-20T04:31:15.126Z] ----------------------------------- [2025-11-20T04:31:15.126Z] renaissance-movie-lens_0_PASSED [2025-11-20T04:31:15.126Z] ----------------------------------- [2025-11-20T04:31:15.453Z] [2025-11-20T04:31:15.453Z] TEST TEARDOWN: [2025-11-20T04:31:15.453Z] Nothing to be done for teardown. [2025-11-20T04:31:15.778Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 04:31:15 2025 Epoch Time (ms): 1763613075460