[2026-03-05T01:49:59.870Z] Running test renaissance-movie-lens_0 ... [2026-03-05T01:49:59.870Z] =============================================== [2026-03-05T01:49:59.870Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 01:49:58 2026 Epoch Time (ms): 1772675398753 [2026-03-05T01:49:59.870Z] variation: NoOptions [2026-03-05T01:49:59.870Z] JVM_OPTIONS: [2026-03-05T01:49:59.870Z] { \ [2026-03-05T01:49:59.870Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T01:49:59.870Z] echo "Nothing to be done for setup."; \ [2026-03-05T01:49:59.870Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726744186530/renaissance-movie-lens_0"; \ [2026-03-05T01:49:59.870Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726744186530/renaissance-movie-lens_0"; \ [2026-03-05T01:49:59.870Z] echo ""; echo "TESTING:"; \ [2026-03-05T01:49:59.870Z] "/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_17726744186530/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T01:49:59.870Z] 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_17726744186530/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T01:49:59.870Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T01:49:59.870Z] echo "Nothing to be done for teardown."; \ [2026-03-05T01:49:59.870Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726744186530/TestTargetResult"; [2026-03-05T01:49:59.870Z] [2026-03-05T01:49:59.870Z] TEST SETUP: [2026-03-05T01:49:59.870Z] Nothing to be done for setup. [2026-03-05T01:49:59.870Z] [2026-03-05T01:49:59.870Z] TESTING: [2026-03-05T01:50:05.259Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T01:50:13.431Z] 01:50:12.803 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. [2026-03-05T01:50:15.395Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T01:50:16.350Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T01:50:16.350Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T01:50:16.350Z] GC before operation: completed in 169.305 ms, heap usage 270.858 MB -> 74.424 MB. [2026-03-05T01:50:23.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:50:27.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:50:31.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:50:34.563Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:50:36.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:50:38.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:50:40.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:50:42.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:50:42.445Z] 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. [2026-03-05T01:50:42.445Z] The best model improves the baseline by 14.52%. [2026-03-05T01:50:43.402Z] Top recommended movies for user id 72: [2026-03-05T01:50:43.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:50:43.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:50:43.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:50:43.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:50:43.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:50:43.402Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26605.918 ms) ====== [2026-03-05T01:50:43.402Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T01:50:43.402Z] GC before operation: completed in 193.461 ms, heap usage 397.203 MB -> 88.655 MB. [2026-03-05T01:50:46.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:50:50.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:50:53.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:50:56.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:50:58.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:51:00.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:51:02.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:51:04.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:51:05.189Z] 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. [2026-03-05T01:51:05.189Z] The best model improves the baseline by 14.52%. [2026-03-05T01:51:05.189Z] Top recommended movies for user id 72: [2026-03-05T01:51:05.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:51:05.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:51:05.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:51:05.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:51:05.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:51:05.189Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21644.296 ms) ====== [2026-03-05T01:51:05.189Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T01:51:05.189Z] GC before operation: completed in 186.479 ms, heap usage 124.541 MB -> 87.361 MB. [2026-03-05T01:51:08.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:51:11.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:51:14.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:51:17.288Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:51:19.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:51:21.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:51:23.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:51:25.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:51:25.163Z] 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. [2026-03-05T01:51:25.163Z] The best model improves the baseline by 14.52%. [2026-03-05T01:51:25.163Z] Top recommended movies for user id 72: [2026-03-05T01:51:25.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:51:25.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:51:25.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:51:25.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:51:25.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:51:25.163Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20161.651 ms) ====== [2026-03-05T01:51:25.163Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T01:51:25.163Z] GC before operation: completed in 169.999 ms, heap usage 115.673 MB -> 87.992 MB. [2026-03-05T01:51:28.206Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:51:31.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:51:34.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:51:37.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:51:39.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:51:42.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:51:44.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:51:44.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:51:45.940Z] 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. [2026-03-05T01:51:45.940Z] The best model improves the baseline by 14.52%. [2026-03-05T01:51:45.940Z] Top recommended movies for user id 72: [2026-03-05T01:51:45.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:51:45.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:51:45.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:51:45.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:51:45.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:51:45.940Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20493.879 ms) ====== [2026-03-05T01:51:45.940Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T01:51:45.940Z] GC before operation: completed in 182.855 ms, heap usage 468.075 MB -> 88.717 MB. [2026-03-05T01:51:48.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:51:52.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:51:55.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:51:58.057Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:52:00.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:52:01.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:52:03.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:52:05.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:52:05.907Z] 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. [2026-03-05T01:52:05.907Z] The best model improves the baseline by 14.52%. [2026-03-05T01:52:05.907Z] Top recommended movies for user id 72: [2026-03-05T01:52:05.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:52:05.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:52:05.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:52:05.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:52:05.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:52:05.908Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20022.494 ms) ====== [2026-03-05T01:52:05.908Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T01:52:05.908Z] GC before operation: completed in 167.951 ms, heap usage 427.457 MB -> 88.563 MB. [2026-03-05T01:52:08.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:52:11.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:52:15.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:52:18.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:52:20.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:52:22.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:52:24.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:52:24.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:52:25.914Z] 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. [2026-03-05T01:52:25.914Z] The best model improves the baseline by 14.52%. [2026-03-05T01:52:25.914Z] Top recommended movies for user id 72: [2026-03-05T01:52:25.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:52:25.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:52:25.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:52:25.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:52:25.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:52:25.914Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19561.233 ms) ====== [2026-03-05T01:52:25.914Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T01:52:25.914Z] GC before operation: completed in 165.242 ms, heap usage 237.709 MB -> 88.655 MB. [2026-03-05T01:52:28.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:52:31.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:52:34.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:52:37.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:52:39.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:52:41.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:52:43.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:52:44.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:52:45.576Z] 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. [2026-03-05T01:52:45.576Z] The best model improves the baseline by 14.52%. [2026-03-05T01:52:45.576Z] Top recommended movies for user id 72: [2026-03-05T01:52:45.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:52:45.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:52:45.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:52:45.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:52:45.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:52:45.576Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19265.202 ms) ====== [2026-03-05T01:52:45.576Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T01:52:45.576Z] GC before operation: completed in 171.873 ms, heap usage 113.282 MB -> 88.486 MB. [2026-03-05T01:52:48.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:52:51.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:52:53.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:52:56.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:52:58.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:53:00.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:53:02.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:53:04.461Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:53:04.461Z] 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. [2026-03-05T01:53:04.461Z] The best model improves the baseline by 14.52%. [2026-03-05T01:53:04.461Z] Top recommended movies for user id 72: [2026-03-05T01:53:04.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:53:04.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:53:04.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:53:04.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:53:04.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:53:04.461Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19225.904 ms) ====== [2026-03-05T01:53:04.461Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T01:53:04.461Z] GC before operation: completed in 167.878 ms, heap usage 386.826 MB -> 89.036 MB. [2026-03-05T01:53:07.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:53:10.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:53:13.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:53:16.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:53:18.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:53:20.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:53:22.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:53:23.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:53:24.387Z] 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. [2026-03-05T01:53:24.387Z] The best model improves the baseline by 14.52%. [2026-03-05T01:53:24.387Z] Top recommended movies for user id 72: [2026-03-05T01:53:24.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:53:24.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:53:24.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:53:24.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:53:24.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:53:24.387Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19347.891 ms) ====== [2026-03-05T01:53:24.387Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T01:53:24.387Z] GC before operation: completed in 170.039 ms, heap usage 402.832 MB -> 88.890 MB. [2026-03-05T01:53:27.413Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:53:30.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:53:33.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:53:36.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:53:38.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:53:40.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:53:41.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:53:43.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:53:43.248Z] 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. [2026-03-05T01:53:43.248Z] The best model improves the baseline by 14.52%. [2026-03-05T01:53:44.213Z] Top recommended movies for user id 72: [2026-03-05T01:53:44.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:53:44.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:53:44.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:53:44.213Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:53:44.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:53:44.213Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19287.999 ms) ====== [2026-03-05T01:53:44.213Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T01:53:44.213Z] GC before operation: completed in 169.423 ms, heap usage 465.488 MB -> 89.180 MB. [2026-03-05T01:53:47.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:53:49.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:53:52.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:53:55.305Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:53:57.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:53:59.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:54:01.200Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:54:02.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:54:03.125Z] 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. [2026-03-05T01:54:03.125Z] The best model improves the baseline by 14.52%. [2026-03-05T01:54:03.125Z] Top recommended movies for user id 72: [2026-03-05T01:54:03.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:54:03.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:54:03.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:54:03.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:54:03.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:54:03.125Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19103.661 ms) ====== [2026-03-05T01:54:03.125Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T01:54:03.125Z] GC before operation: completed in 163.154 ms, heap usage 408.070 MB -> 88.809 MB. [2026-03-05T01:54:06.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:54:09.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:54:12.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:54:15.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:54:17.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:54:19.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:54:20.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:54:22.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:54:22.962Z] 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. [2026-03-05T01:54:22.962Z] The best model improves the baseline by 14.52%. [2026-03-05T01:54:22.962Z] Top recommended movies for user id 72: [2026-03-05T01:54:22.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:54:22.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:54:22.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:54:22.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:54:22.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:54:22.962Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19764.074 ms) ====== [2026-03-05T01:54:22.962Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T01:54:22.962Z] GC before operation: completed in 187.697 ms, heap usage 133.579 MB -> 88.677 MB. [2026-03-05T01:54:25.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:54:29.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:54:32.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:54:35.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:54:37.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:54:38.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:54:40.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:54:41.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:54:42.876Z] 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. [2026-03-05T01:54:42.876Z] The best model improves the baseline by 14.52%. [2026-03-05T01:54:42.876Z] Top recommended movies for user id 72: [2026-03-05T01:54:42.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:54:42.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:54:42.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:54:42.876Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:54:42.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:54:42.876Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19650.190 ms) ====== [2026-03-05T01:54:42.876Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T01:54:42.876Z] GC before operation: completed in 183.837 ms, heap usage 395.976 MB -> 89.134 MB. [2026-03-05T01:54:45.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:54:49.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:54:52.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:54:54.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:54:56.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:54:57.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:54:59.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:55:01.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:55:01.918Z] 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. [2026-03-05T01:55:01.918Z] The best model improves the baseline by 14.52%. [2026-03-05T01:55:02.874Z] Top recommended movies for user id 72: [2026-03-05T01:55:02.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:55:02.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:55:02.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:55:02.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:55:02.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:55:02.874Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19520.972 ms) ====== [2026-03-05T01:55:02.874Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T01:55:02.874Z] GC before operation: completed in 174.310 ms, heap usage 420.378 MB -> 89.012 MB. [2026-03-05T01:55:05.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:55:08.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:55:11.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:55:15.034Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:55:16.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:55:17.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:55:19.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:55:21.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:55:21.637Z] 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. [2026-03-05T01:55:21.637Z] The best model improves the baseline by 14.52%. [2026-03-05T01:55:21.637Z] Top recommended movies for user id 72: [2026-03-05T01:55:21.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:55:21.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:55:21.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:55:21.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:55:21.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:55:21.637Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19255.957 ms) ====== [2026-03-05T01:55:21.637Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T01:55:21.637Z] GC before operation: completed in 139.591 ms, heap usage 101.910 MB -> 88.779 MB. [2026-03-05T01:55:24.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:55:27.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:55:30.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:55:33.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:55:35.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:55:37.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:55:39.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:55:40.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:55:41.644Z] 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. [2026-03-05T01:55:41.644Z] The best model improves the baseline by 14.52%. [2026-03-05T01:55:41.644Z] Top recommended movies for user id 72: [2026-03-05T01:55:41.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:55:41.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:55:41.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:55:41.644Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:55:41.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:55:41.644Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19435.402 ms) ====== [2026-03-05T01:55:41.644Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T01:55:41.644Z] GC before operation: completed in 172.124 ms, heap usage 478.600 MB -> 89.176 MB. [2026-03-05T01:55:44.673Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:55:47.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:55:50.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:55:53.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:55:55.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:55:56.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:55:58.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:56:00.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:56:00.604Z] 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. [2026-03-05T01:56:00.604Z] The best model improves the baseline by 14.52%. [2026-03-05T01:56:01.559Z] Top recommended movies for user id 72: [2026-03-05T01:56:01.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:56:01.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:56:01.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:56:01.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:56:01.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:56:01.559Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19556.687 ms) ====== [2026-03-05T01:56:01.559Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T01:56:01.559Z] GC before operation: completed in 185.510 ms, heap usage 424.735 MB -> 89.168 MB. [2026-03-05T01:56:04.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:56:08.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:56:10.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:56:12.460Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:56:14.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:56:16.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:56:18.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:56:20.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:56:20.318Z] 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. [2026-03-05T01:56:20.318Z] The best model improves the baseline by 14.52%. [2026-03-05T01:56:20.318Z] Top recommended movies for user id 72: [2026-03-05T01:56:20.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:56:20.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:56:20.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:56:20.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:56:20.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:56:20.318Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19093.575 ms) ====== [2026-03-05T01:56:20.318Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T01:56:20.318Z] GC before operation: completed in 169.271 ms, heap usage 340.318 MB -> 88.906 MB. [2026-03-05T01:56:23.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:56:26.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:56:29.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:56:32.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:56:34.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:56:36.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:56:38.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:56:39.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:56:40.389Z] 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. [2026-03-05T01:56:40.389Z] The best model improves the baseline by 14.52%. [2026-03-05T01:56:40.389Z] Top recommended movies for user id 72: [2026-03-05T01:56:40.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:56:40.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:56:40.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:56:40.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:56:40.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:56:40.390Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19690.870 ms) ====== [2026-03-05T01:56:40.390Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T01:56:40.390Z] GC before operation: completed in 161.345 ms, heap usage 474.165 MB -> 89.204 MB. [2026-03-05T01:56:43.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T01:56:46.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T01:56:49.506Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T01:56:52.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T01:56:53.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T01:56:55.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T01:56:58.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T01:56:59.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T01:56:59.128Z] 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. [2026-03-05T01:57:00.082Z] The best model improves the baseline by 14.52%. [2026-03-05T01:57:00.082Z] Top recommended movies for user id 72: [2026-03-05T01:57:00.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T01:57:00.082Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T01:57:00.082Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T01:57:00.082Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T01:57:00.082Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T01:57:00.082Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19259.022 ms) ====== [2026-03-05T01:57:00.082Z] ----------------------------------- [2026-03-05T01:57:00.082Z] renaissance-movie-lens_0_PASSED [2026-03-05T01:57:00.082Z] ----------------------------------- [2026-03-05T01:57:00.082Z] [2026-03-05T01:57:00.082Z] TEST TEARDOWN: [2026-03-05T01:57:00.082Z] Nothing to be done for teardown. [2026-03-05T01:57:00.082Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 01:56:59 2026 Epoch Time (ms): 1772675819790