[2025-08-25T21:58:58.810Z] Running test renaissance-movie-lens_0 ... [2025-08-25T21:58:58.810Z] =============================================== [2025-08-25T21:58:58.810Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 21:58:58 2025 Epoch Time (ms): 1756159138281 [2025-08-25T21:58:58.810Z] variation: NoOptions [2025-08-25T21:58:58.810Z] JVM_OPTIONS: [2025-08-25T21:58:58.810Z] { \ [2025-08-25T21:58:58.810Z] echo ""; echo "TEST SETUP:"; \ [2025-08-25T21:58:58.810Z] echo "Nothing to be done for setup."; \ [2025-08-25T21:58:58.810Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17561575395701/renaissance-movie-lens_0"; \ [2025-08-25T21:58:58.810Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17561575395701/renaissance-movie-lens_0"; \ [2025-08-25T21:58:58.810Z] echo ""; echo "TESTING:"; \ [2025-08-25T21:58:58.810Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17561575395701/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-25T21:58:58.810Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17561575395701/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-25T21:58:58.810Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-25T21:58:58.810Z] echo "Nothing to be done for teardown."; \ [2025-08-25T21:58:58.810Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17561575395701/TestTargetResult"; [2025-08-25T21:58:58.810Z] [2025-08-25T21:58:58.810Z] TEST SETUP: [2025-08-25T21:58:58.810Z] Nothing to be done for setup. [2025-08-25T21:58:58.810Z] [2025-08-25T21:58:58.810Z] TESTING: [2025-08-25T21:59:05.516Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-25T21:59:13.646Z] 21:59:12.792 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-25T21:59:15.583Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-25T21:59:15.583Z] Training: 60056, validation: 20285, test: 19854 [2025-08-25T21:59:15.583Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-25T21:59:16.539Z] GC before operation: completed in 169.792 ms, heap usage 220.760 MB -> 74.385 MB. [2025-08-25T21:59:21.904Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:59:26.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:59:29.064Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:59:32.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:59:34.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:59:35.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:59:37.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:59:39.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:59:39.915Z] 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. [2025-08-25T21:59:40.866Z] The best model improves the baseline by 14.52%. [2025-08-25T21:59:40.866Z] Top recommended movies for user id 72: [2025-08-25T21:59:40.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T21:59:40.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T21:59:40.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T21:59:40.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T21:59:40.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T21:59:40.866Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24412.341 ms) ====== [2025-08-25T21:59:40.866Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-25T21:59:40.866Z] GC before operation: completed in 169.993 ms, heap usage 287.917 MB -> 90.210 MB. [2025-08-25T21:59:43.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T21:59:46.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T21:59:48.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T21:59:51.861Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T21:59:53.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T21:59:55.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T21:59:57.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T21:59:58.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T21:59:59.621Z] 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. [2025-08-25T21:59:59.621Z] The best model improves the baseline by 14.52%. [2025-08-25T21:59:59.621Z] Top recommended movies for user id 72: [2025-08-25T21:59:59.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T21:59:59.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T21:59:59.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T21:59:59.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T21:59:59.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T21:59:59.621Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18824.959 ms) ====== [2025-08-25T21:59:59.621Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-25T21:59:59.621Z] GC before operation: completed in 180.691 ms, heap usage 116.118 MB -> 87.353 MB. [2025-08-25T22:00:03.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:00:06.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:00:09.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:00:12.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:00:13.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:00:15.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:00:17.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:00:19.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:00:19.396Z] 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. [2025-08-25T22:00:19.396Z] The best model improves the baseline by 14.52%. [2025-08-25T22:00:19.396Z] Top recommended movies for user id 72: [2025-08-25T22:00:19.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:00:19.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:00:19.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:00:19.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:00:19.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:00:19.396Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19942.312 ms) ====== [2025-08-25T22:00:19.396Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-25T22:00:20.350Z] GC before operation: completed in 163.243 ms, heap usage 139.612 MB -> 87.982 MB. [2025-08-25T22:00:22.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:00:26.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:00:29.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:00:32.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:00:34.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:00:36.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:00:37.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:00:39.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:00:39.308Z] 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. [2025-08-25T22:00:39.308Z] The best model improves the baseline by 14.52%. [2025-08-25T22:00:40.259Z] Top recommended movies for user id 72: [2025-08-25T22:00:40.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:00:40.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:00:40.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:00:40.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:00:40.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:00:40.259Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20044.581 ms) ====== [2025-08-25T22:00:40.259Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-25T22:00:40.259Z] GC before operation: completed in 171.756 ms, heap usage 184.064 MB -> 88.354 MB. [2025-08-25T22:00:43.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:00:46.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:00:49.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:00:52.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:00:54.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:00:55.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:00:57.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:00:59.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:00:59.177Z] 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. [2025-08-25T22:00:59.177Z] The best model improves the baseline by 14.52%. [2025-08-25T22:01:00.128Z] Top recommended movies for user id 72: [2025-08-25T22:01:00.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:01:00.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:01:00.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:01:00.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:01:00.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:01:00.128Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19654.210 ms) ====== [2025-08-25T22:01:00.128Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-25T22:01:00.128Z] GC before operation: completed in 163.829 ms, heap usage 247.550 MB -> 88.356 MB. [2025-08-25T22:01:03.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:01:07.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:01:08.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:01:11.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:01:13.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:01:15.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:01:17.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:01:19.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:01:19.057Z] 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. [2025-08-25T22:01:19.057Z] The best model improves the baseline by 14.52%. [2025-08-25T22:01:19.057Z] Top recommended movies for user id 72: [2025-08-25T22:01:19.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:01:19.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:01:19.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:01:19.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:01:19.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:01:19.057Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19158.657 ms) ====== [2025-08-25T22:01:19.057Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-25T22:01:19.057Z] GC before operation: completed in 198.516 ms, heap usage 401.545 MB -> 88.868 MB. [2025-08-25T22:01:22.075Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:01:25.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:01:28.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:01:31.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:01:32.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:01:34.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:01:36.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:01:38.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:01:38.055Z] 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. [2025-08-25T22:01:38.055Z] The best model improves the baseline by 14.52%. [2025-08-25T22:01:38.055Z] Top recommended movies for user id 72: [2025-08-25T22:01:38.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:01:38.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:01:38.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:01:38.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:01:38.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:01:38.055Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18994.347 ms) ====== [2025-08-25T22:01:38.055Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-25T22:01:38.055Z] GC before operation: completed in 154.509 ms, heap usage 208.149 MB -> 88.623 MB. [2025-08-25T22:01:41.070Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:01:44.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:01:47.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:01:50.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:01:52.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:01:53.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:01:54.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:01:56.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:01:56.906Z] 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. [2025-08-25T22:01:56.906Z] The best model improves the baseline by 14.52%. [2025-08-25T22:01:56.906Z] Top recommended movies for user id 72: [2025-08-25T22:01:56.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:01:56.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:01:56.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:01:56.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:01:56.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:01:56.906Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18750.396 ms) ====== [2025-08-25T22:01:56.906Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-25T22:01:56.906Z] GC before operation: completed in 159.069 ms, heap usage 378.738 MB -> 89.083 MB. [2025-08-25T22:01:59.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:02:02.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:02:05.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:02:08.693Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:02:10.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:02:12.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:02:14.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:02:15.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:02:16.455Z] 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. [2025-08-25T22:02:16.455Z] The best model improves the baseline by 14.52%. [2025-08-25T22:02:16.455Z] Top recommended movies for user id 72: [2025-08-25T22:02:16.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:02:16.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:02:16.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:02:16.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:02:16.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:02:16.455Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18884.476 ms) ====== [2025-08-25T22:02:16.455Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-25T22:02:16.455Z] GC before operation: completed in 170.232 ms, heap usage 399.119 MB -> 88.934 MB. [2025-08-25T22:02:19.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:02:22.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:02:24.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:02:27.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:02:29.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:02:31.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:02:33.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:02:34.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:02:35.423Z] 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. [2025-08-25T22:02:35.423Z] The best model improves the baseline by 14.52%. [2025-08-25T22:02:35.423Z] Top recommended movies for user id 72: [2025-08-25T22:02:35.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:02:35.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:02:35.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:02:35.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:02:35.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:02:35.423Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18857.590 ms) ====== [2025-08-25T22:02:35.423Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-25T22:02:35.423Z] GC before operation: completed in 167.124 ms, heap usage 385.739 MB -> 89.129 MB. [2025-08-25T22:02:38.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:02:41.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:02:44.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:02:47.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:02:50.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:02:51.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:02:52.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:02:54.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:02:54.337Z] 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. [2025-08-25T22:02:54.337Z] The best model improves the baseline by 14.52%. [2025-08-25T22:02:54.337Z] Top recommended movies for user id 72: [2025-08-25T22:02:54.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:02:54.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:02:54.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:02:54.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:02:54.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:02:54.337Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19248.156 ms) ====== [2025-08-25T22:02:54.337Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-25T22:02:55.286Z] GC before operation: completed in 181.349 ms, heap usage 330.153 MB -> 88.753 MB. [2025-08-25T22:02:57.235Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:03:00.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:03:03.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:03:06.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:03:08.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:03:10.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:03:11.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:03:13.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:03:14.064Z] 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. [2025-08-25T22:03:14.064Z] The best model improves the baseline by 14.52%. [2025-08-25T22:03:14.064Z] Top recommended movies for user id 72: [2025-08-25T22:03:14.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:03:14.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:03:14.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:03:14.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:03:14.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:03:14.064Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18970.196 ms) ====== [2025-08-25T22:03:14.064Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-25T22:03:14.064Z] GC before operation: completed in 174.550 ms, heap usage 395.943 MB -> 89.059 MB. [2025-08-25T22:03:17.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:03:20.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:03:23.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:03:26.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:03:27.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:03:29.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:03:31.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:03:33.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:03:33.182Z] 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. [2025-08-25T22:03:33.182Z] The best model improves the baseline by 14.52%. [2025-08-25T22:03:33.182Z] Top recommended movies for user id 72: [2025-08-25T22:03:33.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:03:33.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:03:33.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:03:33.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:03:33.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:03:33.182Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19379.001 ms) ====== [2025-08-25T22:03:33.182Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-25T22:03:33.182Z] GC before operation: completed in 155.199 ms, heap usage 373.093 MB -> 89.160 MB. [2025-08-25T22:03:36.192Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:03:39.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:03:42.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:03:45.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:03:45.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:03:47.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:03:49.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:03:51.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:03:51.825Z] 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. [2025-08-25T22:03:51.825Z] The best model improves the baseline by 14.52%. [2025-08-25T22:03:51.825Z] Top recommended movies for user id 72: [2025-08-25T22:03:51.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:03:51.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:03:51.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:03:51.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:03:51.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:03:51.825Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18610.922 ms) ====== [2025-08-25T22:03:51.825Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-25T22:03:52.790Z] GC before operation: completed in 165.440 ms, heap usage 389.807 MB -> 88.972 MB. [2025-08-25T22:03:54.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:03:57.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:04:00.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:04:03.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:04:05.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:04:06.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:04:08.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:04:10.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:04:10.579Z] 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. [2025-08-25T22:04:10.579Z] The best model improves the baseline by 14.52%. [2025-08-25T22:04:10.579Z] Top recommended movies for user id 72: [2025-08-25T22:04:10.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:04:10.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:04:10.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:04:10.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:04:10.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:04:10.579Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18524.968 ms) ====== [2025-08-25T22:04:10.579Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-25T22:04:10.579Z] GC before operation: completed in 156.496 ms, heap usage 388.357 MB -> 89.191 MB. [2025-08-25T22:04:13.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:04:16.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:04:19.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:04:22.651Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:04:23.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:04:25.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:04:27.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:04:28.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:04:29.471Z] 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. [2025-08-25T22:04:29.471Z] The best model improves the baseline by 14.52%. [2025-08-25T22:04:29.471Z] Top recommended movies for user id 72: [2025-08-25T22:04:29.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:04:29.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:04:29.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:04:29.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:04:29.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:04:29.471Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18403.549 ms) ====== [2025-08-25T22:04:29.471Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-25T22:04:29.471Z] GC before operation: completed in 178.688 ms, heap usage 184.300 MB -> 88.776 MB. [2025-08-25T22:04:32.501Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:04:34.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:04:38.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:04:40.238Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:04:42.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:04:44.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:04:45.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:04:47.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:04:47.065Z] 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. [2025-08-25T22:04:47.065Z] The best model improves the baseline by 14.52%. [2025-08-25T22:04:48.020Z] Top recommended movies for user id 72: [2025-08-25T22:04:48.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:04:48.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:04:48.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:04:48.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:04:48.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:04:48.020Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18041.363 ms) ====== [2025-08-25T22:04:48.020Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-25T22:04:48.020Z] GC before operation: completed in 163.398 ms, heap usage 311.139 MB -> 89.084 MB. [2025-08-25T22:04:51.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:04:54.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:04:56.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:04:59.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:05:00.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:05:01.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:05:03.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:05:05.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:05:05.856Z] 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. [2025-08-25T22:05:05.856Z] The best model improves the baseline by 14.52%. [2025-08-25T22:05:05.856Z] Top recommended movies for user id 72: [2025-08-25T22:05:05.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:05:05.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:05:05.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:05:05.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:05:05.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:05:05.856Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18168.628 ms) ====== [2025-08-25T22:05:05.856Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-25T22:05:05.856Z] GC before operation: completed in 154.799 ms, heap usage 356.649 MB -> 88.904 MB. [2025-08-25T22:05:08.873Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:05:11.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:05:14.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:05:16.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:05:18.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:05:19.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:05:21.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:05:23.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:05:23.779Z] 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. [2025-08-25T22:05:23.779Z] The best model improves the baseline by 14.52%. [2025-08-25T22:05:23.779Z] Top recommended movies for user id 72: [2025-08-25T22:05:23.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:05:23.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:05:23.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:05:23.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:05:23.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:05:23.779Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18019.154 ms) ====== [2025-08-25T22:05:23.779Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-25T22:05:24.731Z] GC before operation: completed in 154.680 ms, heap usage 402.417 MB -> 89.099 MB. [2025-08-25T22:05:26.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:05:29.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:05:32.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:05:35.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:05:36.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:05:38.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:05:40.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:05:41.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:05:42.515Z] 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. [2025-08-25T22:05:42.515Z] The best model improves the baseline by 14.52%. [2025-08-25T22:05:42.515Z] Top recommended movies for user id 72: [2025-08-25T22:05:42.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:05:42.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:05:42.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:05:42.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:05:42.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:05:42.515Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18072.561 ms) ====== [2025-08-25T22:05:42.515Z] ----------------------------------- [2025-08-25T22:05:42.515Z] renaissance-movie-lens_0_PASSED [2025-08-25T22:05:42.515Z] ----------------------------------- [2025-08-25T22:05:42.515Z] [2025-08-25T22:05:42.515Z] TEST TEARDOWN: [2025-08-25T22:05:42.515Z] Nothing to be done for teardown. [2025-08-25T22:05:42.515Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 22:05:42 2025 Epoch Time (ms): 1756159542309