[2026-04-14T11:24:53.685Z] Running test renaissance-movie-lens_0 ... [2026-04-14T11:24:53.685Z] =============================================== [2026-04-14T11:24:53.685Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 07:24:53 2026 Epoch Time (ms): 1776165893048 [2026-04-14T11:24:53.685Z] variation: NoOptions [2026-04-14T11:24:53.685Z] JVM_OPTIONS: [2026-04-14T11:24:53.685Z] { \ [2026-04-14T11:24:53.685Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T11:24:53.685Z] echo "Nothing to be done for setup."; \ [2026-04-14T11:24:53.685Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1776162334592/renaissance-movie-lens_0"; \ [2026-04-14T11:24:53.685Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1776162334592/renaissance-movie-lens_0"; \ [2026-04-14T11:24:53.685Z] echo ""; echo "TESTING:"; \ [2026-04-14T11:24:53.685Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1776162334592/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T11:24:53.685Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1776162334592/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T11:24:53.685Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T11:24:53.685Z] echo "Nothing to be done for teardown."; \ [2026-04-14T11:24:53.685Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1776162334592/TestTargetResult"; [2026-04-14T11:24:53.685Z] [2026-04-14T11:24:53.685Z] TEST SETUP: [2026-04-14T11:24:53.685Z] Nothing to be done for setup. [2026-04-14T11:24:53.685Z] [2026-04-14T11:24:53.685Z] TESTING: [2026-04-14T11:25:20.048Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T11:25:42.124Z] 07:25:41.057 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. [2026-04-14T11:25:48.932Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T11:25:51.608Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T11:25:51.608Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T11:25:52.241Z] GC before operation: completed in 169.447 ms, heap usage 267.242 MB -> 75.065 MB. [2026-04-14T11:26:30.436Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:26:52.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:27:19.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:27:34.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:27:42.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:27:55.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:28:05.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:28:16.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:28:16.610Z] 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. [2026-04-14T11:28:17.339Z] The best model improves the baseline by 14.52%. [2026-04-14T11:28:18.468Z] Top recommended movies for user id 72: [2026-04-14T11:28:18.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:28:18.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:28:18.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:28:18.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:28:18.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:28:18.468Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (146443.048 ms) ====== [2026-04-14T11:28:18.468Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T11:28:18.468Z] GC before operation: completed in 314.250 ms, heap usage 525.666 MB -> 87.785 MB. [2026-04-14T11:28:36.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:28:58.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:29:10.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:29:29.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:29:35.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:29:45.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:29:56.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:30:04.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:30:05.435Z] 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. [2026-04-14T11:30:06.102Z] The best model improves the baseline by 14.52%. [2026-04-14T11:30:07.525Z] Top recommended movies for user id 72: [2026-04-14T11:30:07.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:30:07.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:30:07.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:30:07.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:30:07.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:30:07.526Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (108692.068 ms) ====== [2026-04-14T11:30:07.526Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T11:30:08.086Z] GC before operation: completed in 450.884 ms, heap usage 694.967 MB -> 91.478 MB. [2026-04-14T11:30:26.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:30:42.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:31:08.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:31:19.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:31:28.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:31:34.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:31:42.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:31:52.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:31:52.564Z] 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. [2026-04-14T11:31:52.564Z] The best model improves the baseline by 14.52%. [2026-04-14T11:31:53.113Z] Top recommended movies for user id 72: [2026-04-14T11:31:53.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:31:53.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:31:53.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:31:53.113Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:31:53.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:31:53.113Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (105069.209 ms) ====== [2026-04-14T11:31:53.113Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T11:31:54.235Z] GC before operation: completed in 1045.985 ms, heap usage 1.324 GB -> 96.021 MB. [2026-04-14T11:32:09.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:32:23.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:32:38.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:32:51.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:33:01.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:33:10.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:33:18.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:33:29.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:33:30.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T11:33:31.099Z] The best model improves the baseline by 14.52%. [2026-04-14T11:33:31.099Z] Top recommended movies for user id 72: [2026-04-14T11:33:31.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:33:31.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:33:31.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:33:31.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:33:31.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:33:31.099Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (97312.833 ms) ====== [2026-04-14T11:33:31.099Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T11:33:31.766Z] GC before operation: completed in 401.779 ms, heap usage 435.864 MB -> 88.975 MB. [2026-04-14T11:33:50.097Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:34:08.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:34:27.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:34:39.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:34:49.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:34:56.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:35:02.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:35:11.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:35:11.826Z] 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. [2026-04-14T11:35:11.826Z] The best model improves the baseline by 14.52%. [2026-04-14T11:35:13.024Z] Top recommended movies for user id 72: [2026-04-14T11:35:13.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:35:13.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:35:13.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:35:13.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:35:13.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:35:13.024Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (101251.569 ms) ====== [2026-04-14T11:35:13.024Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T11:35:13.610Z] GC before operation: completed in 478.282 ms, heap usage 245.595 MB -> 91.791 MB. [2026-04-14T11:35:36.199Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:35:49.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:36:02.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:36:15.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:36:22.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:36:31.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:36:41.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:36:50.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:36:51.171Z] 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. [2026-04-14T11:36:51.171Z] The best model improves the baseline by 14.52%. [2026-04-14T11:36:51.851Z] Top recommended movies for user id 72: [2026-04-14T11:36:51.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:36:51.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:36:51.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:36:51.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:36:51.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:36:51.851Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (98602.234 ms) ====== [2026-04-14T11:36:51.851Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T11:36:52.437Z] GC before operation: completed in 405.338 ms, heap usage 364.235 MB -> 89.058 MB. [2026-04-14T11:37:11.708Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:37:30.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:37:53.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:38:12.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:38:20.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:38:31.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:38:41.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:38:48.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:38:49.998Z] 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. [2026-04-14T11:38:50.508Z] The best model improves the baseline by 14.52%. [2026-04-14T11:38:50.508Z] Top recommended movies for user id 72: [2026-04-14T11:38:50.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:38:50.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:38:50.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:38:50.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:38:50.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:38:50.508Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (118323.777 ms) ====== [2026-04-14T11:38:50.508Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T11:38:50.996Z] GC before operation: completed in 369.343 ms, heap usage 1.404 GB -> 98.277 MB. [2026-04-14T11:39:06.887Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:39:29.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:39:45.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:40:01.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:40:08.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:40:16.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:40:25.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:40:34.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:40:36.776Z] 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. [2026-04-14T11:40:36.776Z] The best model improves the baseline by 14.52%. [2026-04-14T11:40:38.120Z] Top recommended movies for user id 72: [2026-04-14T11:40:38.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:40:38.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:40:38.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:40:38.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:40:38.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:40:38.120Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (106637.985 ms) ====== [2026-04-14T11:40:38.120Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T11:40:38.764Z] GC before operation: completed in 713.649 ms, heap usage 1.700 GB -> 100.918 MB. [2026-04-14T11:41:01.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:41:20.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:41:33.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:41:46.989Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:41:53.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:41:58.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:42:05.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:42:13.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:42:14.441Z] 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. [2026-04-14T11:42:14.441Z] The best model improves the baseline by 14.52%. [2026-04-14T11:42:15.016Z] Top recommended movies for user id 72: [2026-04-14T11:42:15.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:42:15.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:42:15.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:42:15.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:42:15.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:42:15.016Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (96690.202 ms) ====== [2026-04-14T11:42:15.016Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T11:42:15.596Z] GC before operation: completed in 368.447 ms, heap usage 232.346 MB -> 88.957 MB. [2026-04-14T11:42:31.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:42:44.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:43:00.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:43:09.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:43:18.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:43:27.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:43:41.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:43:50.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:43:51.938Z] 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. [2026-04-14T11:43:51.938Z] The best model improves the baseline by 14.52%. [2026-04-14T11:43:52.504Z] Top recommended movies for user id 72: [2026-04-14T11:43:52.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:43:52.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:43:52.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:43:52.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:43:52.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:43:52.504Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (96900.757 ms) ====== [2026-04-14T11:43:52.504Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T11:43:52.504Z] GC before operation: completed in 358.887 ms, heap usage 1.495 GB -> 95.265 MB. [2026-04-14T11:44:11.242Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:44:25.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:44:38.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:44:54.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:45:02.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:45:09.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:45:21.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:45:29.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:45:30.848Z] 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. [2026-04-14T11:45:30.848Z] The best model improves the baseline by 14.52%. [2026-04-14T11:45:31.292Z] Top recommended movies for user id 72: [2026-04-14T11:45:31.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:45:31.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:45:31.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:45:31.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:45:31.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:45:31.292Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (98457.929 ms) ====== [2026-04-14T11:45:31.292Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T11:45:31.292Z] GC before operation: completed in 315.377 ms, heap usage 546.406 MB -> 89.432 MB. [2026-04-14T11:45:50.347Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:46:09.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:46:25.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:46:43.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:46:48.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:46:54.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:47:00.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:47:09.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:47:10.346Z] 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. [2026-04-14T11:47:10.346Z] The best model improves the baseline by 14.52%. [2026-04-14T11:47:10.866Z] Top recommended movies for user id 72: [2026-04-14T11:47:10.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:47:10.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:47:10.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:47:10.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:47:10.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:47:10.866Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (99449.445 ms) ====== [2026-04-14T11:47:10.866Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T11:47:11.348Z] GC before operation: completed in 481.239 ms, heap usage 1.079 GB -> 94.459 MB. [2026-04-14T11:47:38.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:47:49.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:48:05.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:48:21.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:48:29.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:48:49.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:48:53.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:49:01.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:49:02.657Z] 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. [2026-04-14T11:49:02.657Z] The best model improves the baseline by 14.52%. [2026-04-14T11:49:03.114Z] Top recommended movies for user id 72: [2026-04-14T11:49:03.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:49:03.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:49:03.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:49:03.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:49:03.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:49:03.114Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (111641.545 ms) ====== [2026-04-14T11:49:03.114Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T11:49:03.114Z] GC before operation: completed in 246.681 ms, heap usage 385.608 MB -> 89.648 MB. [2026-04-14T11:49:21.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:49:32.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:49:54.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:50:07.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:50:13.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:50:19.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:50:26.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:50:32.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:50:33.048Z] 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. [2026-04-14T11:50:33.488Z] The best model improves the baseline by 14.52%. [2026-04-14T11:50:33.993Z] Top recommended movies for user id 72: [2026-04-14T11:50:33.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:50:33.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:50:33.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:50:33.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:50:33.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:50:33.993Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (90459.726 ms) ====== [2026-04-14T11:50:33.993Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T11:50:33.993Z] GC before operation: completed in 274.948 ms, heap usage 264.388 MB -> 89.356 MB. [2026-04-14T11:50:52.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:51:12.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:51:28.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:51:40.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:51:48.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:51:57.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:52:04.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:52:13.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:52:14.134Z] 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. [2026-04-14T11:52:14.134Z] The best model improves the baseline by 14.52%. [2026-04-14T11:52:14.689Z] Top recommended movies for user id 72: [2026-04-14T11:52:14.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:52:14.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:52:14.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:52:14.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:52:14.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:52:14.689Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (100596.457 ms) ====== [2026-04-14T11:52:14.689Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T11:52:15.199Z] GC before operation: completed in 243.405 ms, heap usage 301.198 MB -> 89.594 MB. [2026-04-14T11:52:30.761Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:52:52.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:53:03.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:53:16.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:53:22.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:53:28.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:53:35.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:53:42.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:53:44.053Z] 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. [2026-04-14T11:53:44.053Z] The best model improves the baseline by 14.52%. [2026-04-14T11:53:45.409Z] Top recommended movies for user id 72: [2026-04-14T11:53:45.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:53:45.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:53:45.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:53:45.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:53:45.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:53:45.409Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (89888.941 ms) ====== [2026-04-14T11:53:45.409Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T11:53:45.950Z] GC before operation: completed in 1017.079 ms, heap usage 712.880 MB -> 93.099 MB. [2026-04-14T11:54:01.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:54:20.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:54:31.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:54:44.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:54:51.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:54:57.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:55:04.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:55:10.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:55:11.759Z] 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. [2026-04-14T11:55:11.759Z] The best model improves the baseline by 14.52%. [2026-04-14T11:55:12.442Z] Top recommended movies for user id 72: [2026-04-14T11:55:12.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:55:12.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:55:12.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:55:12.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:55:12.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:55:12.442Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (86714.006 ms) ====== [2026-04-14T11:55:12.442Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T11:55:13.496Z] GC before operation: completed in 837.064 ms, heap usage 933.189 MB -> 93.993 MB. [2026-04-14T11:55:32.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:55:47.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:56:01.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:56:11.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:56:17.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:56:25.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:56:34.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:56:43.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:56:47.963Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T11:56:48.443Z] The best model improves the baseline by 14.52%. [2026-04-14T11:56:50.331Z] Top recommended movies for user id 72: [2026-04-14T11:56:50.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:56:50.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:56:50.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:56:50.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:56:50.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:56:50.331Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (96865.999 ms) ====== [2026-04-14T11:56:50.332Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T11:56:52.429Z] GC before operation: completed in 2205.144 ms, heap usage 812.582 MB -> 95.026 MB. [2026-04-14T11:57:12.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:57:25.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:57:38.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:57:53.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:58:00.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:58:06.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:58:13.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:58:18.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:58:19.983Z] 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. [2026-04-14T11:58:19.983Z] The best model improves the baseline by 14.52%. [2026-04-14T11:58:20.460Z] Top recommended movies for user id 72: [2026-04-14T11:58:20.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:58:20.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:58:20.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:58:20.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:58:20.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:58:20.460Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (88133.564 ms) ====== [2026-04-14T11:58:20.460Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T11:58:20.974Z] GC before operation: completed in 331.663 ms, heap usage 204.843 MB -> 90.263 MB. [2026-04-14T11:58:33.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T11:58:44.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T11:58:58.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T11:59:07.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T11:59:16.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T11:59:24.294Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T11:59:30.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T11:59:41.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T11:59:46.475Z] 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. [2026-04-14T11:59:46.916Z] The best model improves the baseline by 14.52%. [2026-04-14T11:59:50.176Z] Top recommended movies for user id 72: [2026-04-14T11:59:50.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T11:59:50.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T11:59:50.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T11:59:50.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T11:59:50.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T11:59:50.176Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (89305.994 ms) ====== [2026-04-14T11:59:54.747Z] ----------------------------------- [2026-04-14T11:59:54.747Z] renaissance-movie-lens_0_PASSED [2026-04-14T11:59:54.747Z] ----------------------------------- [2026-04-14T11:59:54.747Z] [2026-04-14T11:59:54.747Z] TEST TEARDOWN: [2026-04-14T11:59:54.747Z] Nothing to be done for teardown. [2026-04-14T11:59:55.161Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 07:59:54 2026 Epoch Time (ms): 1776167994723