[2026-04-22T14:45:21.201Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:45:21.201Z] =============================================== [2026-04-22T14:45:21.201Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:45:21 2026 Epoch Time (ms): 1776869121059 [2026-04-22T14:45:21.201Z] variation: NoOptions [2026-04-22T14:45:21.567Z] JVM_OPTIONS: [2026-04-22T14:45:21.567Z] { \ [2026-04-22T14:45:21.567Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:45:21.567Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:45:21.567Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17768678844701\\renaissance-movie-lens_0"; \ [2026-04-22T14:45:21.567Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17768678844701\\renaissance-movie-lens_0"; \ [2026-04-22T14:45:21.567Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:45:21.567Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17768678844701\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-22T14:45:21.567Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17768678844701\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:45:21.567Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:45:21.567Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:45:21.567Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17768678844701\\TestTargetResult"; [2026-04-22T14:45:21.567Z] [2026-04-22T14:45:21.567Z] TEST SETUP: [2026-04-22T14:45:21.567Z] Nothing to be done for setup. [2026-04-22T14:45:21.567Z] [2026-04-22T14:45:21.567Z] TESTING: [2026-04-22T14:45:34.791Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:45:40.023Z] 14:45:39.678 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:45:42.710Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:45:42.710Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:45:42.710Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:45:42.710Z] GC before operation: completed in 111.354 ms, heap usage 170.271 MB -> 75.847 MB. [2026-04-22T14:45:56.744Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:07.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:46:16.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:46:24.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:46:28.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:46:33.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:46:38.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:46:42.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:46:42.410Z] 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. [2026-04-22T14:46:42.410Z] The best model improves the baseline by 14.52%. [2026-04-22T14:46:42.816Z] Top recommended movies for user id 72: [2026-04-22T14:46:42.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:46:42.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:46:42.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:46:42.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:46:42.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:46:42.816Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59877.800 ms) ====== [2026-04-22T14:46:42.816Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:46:42.816Z] GC before operation: completed in 112.573 ms, heap usage 199.873 MB -> 93.454 MB. [2026-04-22T14:46:50.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:46:57.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:05.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:12.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:47:15.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:47:19.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:47:24.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:47:28.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:47:28.234Z] 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. [2026-04-22T14:47:28.234Z] The best model improves the baseline by 14.52%. [2026-04-22T14:47:28.596Z] Top recommended movies for user id 72: [2026-04-22T14:47:28.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:47:28.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:47:28.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:47:28.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:47:28.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:47:28.596Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (45697.274 ms) ====== [2026-04-22T14:47:28.596Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:47:28.596Z] GC before operation: completed in 107.968 ms, heap usage 444.358 MB -> 90.790 MB. [2026-04-22T14:47:35.993Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:47:43.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:47:50.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:47:56.823Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:00.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:04.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:09.444Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:48:13.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:48:13.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T14:48:13.309Z] The best model improves the baseline by 14.52%. [2026-04-22T14:48:13.678Z] Top recommended movies for user id 72: [2026-04-22T14:48:13.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:48:13.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:48:13.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:48:13.678Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:48:13.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:48:13.678Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44979.518 ms) ====== [2026-04-22T14:48:13.678Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:48:13.678Z] GC before operation: completed in 112.383 ms, heap usage 215.166 MB -> 89.372 MB. [2026-04-22T14:48:22.693Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:48:30.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:48:37.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:48:44.977Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:48:48.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:48:52.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:48:57.809Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:49:01.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:49:02.167Z] 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. [2026-04-22T14:49:02.167Z] The best model improves the baseline by 14.52%. [2026-04-22T14:49:02.567Z] Top recommended movies for user id 72: [2026-04-22T14:49:02.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:49:02.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:49:02.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:49:02.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:49:02.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:49:02.567Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (48511.210 ms) ====== [2026-04-22T14:49:02.567Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:49:02.567Z] GC before operation: completed in 112.080 ms, heap usage 257.272 MB -> 92.977 MB. [2026-04-22T14:49:09.953Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:49:17.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:49:24.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:49:30.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:49:34.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:49:38.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:49:43.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:49:47.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:49:47.357Z] 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. [2026-04-22T14:49:47.357Z] The best model improves the baseline by 14.52%. [2026-04-22T14:49:47.724Z] Top recommended movies for user id 72: [2026-04-22T14:49:47.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:49:47.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:49:47.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:49:47.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:49:47.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:49:47.724Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (45349.109 ms) ====== [2026-04-22T14:49:47.724Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:49:47.724Z] GC before operation: completed in 109.738 ms, heap usage 233.910 MB -> 90.824 MB. [2026-04-22T14:49:56.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:50:02.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:50:10.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:50:17.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:50:21.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:50:25.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:50:29.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:50:33.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:50:33.676Z] 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. [2026-04-22T14:50:33.676Z] The best model improves the baseline by 14.52%. [2026-04-22T14:50:33.676Z] Top recommended movies for user id 72: [2026-04-22T14:50:33.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:50:33.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:50:33.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:50:33.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:50:33.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:50:33.676Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45919.673 ms) ====== [2026-04-22T14:50:33.676Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:50:34.071Z] GC before operation: completed in 115.759 ms, heap usage 245.471 MB -> 92.193 MB. [2026-04-22T14:50:41.471Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:50:47.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:50:54.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:51:00.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:51:04.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:51:08.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:51:13.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:51:17.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:51:17.736Z] 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. [2026-04-22T14:51:17.736Z] The best model improves the baseline by 14.52%. [2026-04-22T14:51:18.118Z] Top recommended movies for user id 72: [2026-04-22T14:51:18.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:51:18.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:51:18.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:51:18.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:51:18.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:51:18.119Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44172.490 ms) ====== [2026-04-22T14:51:18.119Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:51:18.119Z] GC before operation: completed in 107.191 ms, heap usage 300.857 MB -> 90.134 MB. [2026-04-22T14:51:27.153Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:51:34.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:51:41.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:51:49.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:51:53.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:51:57.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:52:01.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:52:05.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:52:05.932Z] 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. [2026-04-22T14:52:05.932Z] The best model improves the baseline by 14.52%. [2026-04-22T14:52:06.358Z] Top recommended movies for user id 72: [2026-04-22T14:52:06.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:52:06.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:52:06.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:52:06.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:52:06.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:52:06.358Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (47939.554 ms) ====== [2026-04-22T14:52:06.358Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:52:06.358Z] GC before operation: completed in 165.453 ms, heap usage 195.596 MB -> 90.272 MB. [2026-04-22T14:52:15.423Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:52:21.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:52:30.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:52:36.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:52:39.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:52:43.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:52:48.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:52:52.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:52:52.310Z] 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. [2026-04-22T14:52:52.310Z] The best model improves the baseline by 14.52%. [2026-04-22T14:52:52.703Z] Top recommended movies for user id 72: [2026-04-22T14:52:52.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:52:52.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:52:52.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:52:52.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:52:52.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:52:52.703Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46403.280 ms) ====== [2026-04-22T14:52:52.703Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:52:52.703Z] GC before operation: completed in 107.337 ms, heap usage 133.910 MB -> 93.290 MB. [2026-04-22T14:53:00.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:53:07.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:53:14.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:53:22.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:53:25.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:53:29.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:53:34.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:53:38.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:53:38.426Z] 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. [2026-04-22T14:53:38.426Z] The best model improves the baseline by 14.52%. [2026-04-22T14:53:38.796Z] Top recommended movies for user id 72: [2026-04-22T14:53:38.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:53:38.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:53:38.796Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:53:38.796Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:53:38.796Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:53:38.796Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46011.667 ms) ====== [2026-04-22T14:53:38.796Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:53:38.796Z] GC before operation: completed in 110.234 ms, heap usage 301.924 MB -> 90.442 MB. [2026-04-22T14:53:47.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:53:53.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:54:01.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:54:08.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:54:11.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:54:15.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:54:20.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:54:23.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:54:24.334Z] 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. [2026-04-22T14:54:24.334Z] The best model improves the baseline by 14.52%. [2026-04-22T14:54:24.717Z] Top recommended movies for user id 72: [2026-04-22T14:54:24.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:54:24.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:54:24.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:54:24.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:54:24.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:54:24.717Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45521.948 ms) ====== [2026-04-22T14:54:24.717Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:54:24.717Z] GC before operation: completed in 116.833 ms, heap usage 292.808 MB -> 90.161 MB. [2026-04-22T14:54:33.748Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:54:41.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:54:48.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:54:54.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:54:58.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:55:02.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:55:06.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:55:10.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:55:10.652Z] 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. [2026-04-22T14:55:10.652Z] The best model improves the baseline by 14.52%. [2026-04-22T14:55:10.652Z] Top recommended movies for user id 72: [2026-04-22T14:55:10.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:55:10.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:55:10.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:55:10.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:55:10.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:55:10.652Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46183.343 ms) ====== [2026-04-22T14:55:10.652Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:55:11.033Z] GC before operation: completed in 117.039 ms, heap usage 255.653 MB -> 93.696 MB. [2026-04-22T14:55:18.410Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:55:24.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:55:31.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:55:39.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:55:42.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:55:47.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:55:50.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:55:54.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:55:55.185Z] 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. [2026-04-22T14:55:55.185Z] The best model improves the baseline by 14.52%. [2026-04-22T14:55:55.564Z] Top recommended movies for user id 72: [2026-04-22T14:55:55.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:55:55.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:55:55.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:55:55.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:55:55.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:55:55.564Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44638.638 ms) ====== [2026-04-22T14:55:55.564Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:55:55.564Z] GC before operation: completed in 115.892 ms, heap usage 246.728 MB -> 90.350 MB. [2026-04-22T14:56:02.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:56:09.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:56:16.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:56:23.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:56:27.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:56:30.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:56:35.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:56:38.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:56:39.491Z] 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. [2026-04-22T14:56:39.491Z] The best model improves the baseline by 14.52%. [2026-04-22T14:56:39.491Z] Top recommended movies for user id 72: [2026-04-22T14:56:39.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:56:39.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:56:39.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:56:39.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:56:39.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:56:39.491Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (43969.332 ms) ====== [2026-04-22T14:56:39.491Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:56:39.860Z] GC before operation: completed in 122.417 ms, heap usage 438.643 MB -> 90.494 MB. [2026-04-22T14:56:47.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:56:53.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:00.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:06.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:57:10.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:57:14.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:57:19.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:57:23.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:57:23.210Z] 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. [2026-04-22T14:57:23.210Z] The best model improves the baseline by 14.52%. [2026-04-22T14:57:23.574Z] Top recommended movies for user id 72: [2026-04-22T14:57:23.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:57:23.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:57:23.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:57:23.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:57:23.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:57:23.574Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (43827.826 ms) ====== [2026-04-22T14:57:23.574Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:57:23.574Z] GC before operation: completed in 113.005 ms, heap usage 495.772 MB -> 90.807 MB. [2026-04-22T14:57:32.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:57:38.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:46.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:52.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:57:56.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:58:00.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:58:05.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:58:08.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:58:08.510Z] 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. [2026-04-22T14:58:08.510Z] The best model improves the baseline by 14.52%. [2026-04-22T14:58:08.935Z] Top recommended movies for user id 72: [2026-04-22T14:58:08.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:58:08.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:58:08.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:58:08.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:58:08.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:58:08.935Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45109.538 ms) ====== [2026-04-22T14:58:08.935Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:58:08.935Z] GC before operation: completed in 116.306 ms, heap usage 298.957 MB -> 92.664 MB. [2026-04-22T14:58:16.443Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:58:22.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:58:29.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:58:35.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:58:39.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:58:43.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:58:47.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:58:51.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:58:52.157Z] 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. [2026-04-22T14:58:52.157Z] The best model improves the baseline by 14.52%. [2026-04-22T14:58:52.157Z] Top recommended movies for user id 72: [2026-04-22T14:58:52.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:58:52.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:58:52.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:58:52.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:58:52.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:58:52.157Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43385.179 ms) ====== [2026-04-22T14:58:52.157Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:58:52.545Z] GC before operation: completed in 111.608 ms, heap usage 202.117 MB -> 91.588 MB. [2026-04-22T14:58:59.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:59:07.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:59:14.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:59:20.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:59:24.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:59:28.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:59:33.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:59:37.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:59:37.680Z] 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. [2026-04-22T14:59:37.680Z] The best model improves the baseline by 14.52%. [2026-04-22T14:59:37.680Z] Top recommended movies for user id 72: [2026-04-22T14:59:37.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:59:37.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:59:37.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:59:37.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:59:37.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:59:37.680Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45406.512 ms) ====== [2026-04-22T14:59:37.680Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:59:38.060Z] GC before operation: completed in 116.586 ms, heap usage 228.314 MB -> 97.039 MB. [2026-04-22T14:59:45.518Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:59:51.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:59:58.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:00:06.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:00:09.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:00:13.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:00:19.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:00:20.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:00:21.603Z] 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. [2026-04-22T15:00:21.603Z] The best model improves the baseline by 14.52%. [2026-04-22T15:00:21.603Z] Top recommended movies for user id 72: [2026-04-22T15:00:21.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:00:21.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:00:21.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:00:21.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:00:21.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:00:21.603Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (43766.623 ms) ====== [2026-04-22T15:00:21.603Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T15:00:21.603Z] GC before operation: completed in 110.676 ms, heap usage 212.017 MB -> 92.027 MB. [2026-04-22T15:00:30.745Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:00:36.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:00:44.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:00:51.563Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:00:54.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:00:58.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:01:02.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:01:06.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:01:07.053Z] 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. [2026-04-22T15:01:07.053Z] The best model improves the baseline by 14.52%. [2026-04-22T15:01:07.427Z] Top recommended movies for user id 72: [2026-04-22T15:01:07.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:01:07.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:01:07.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:01:07.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:01:07.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:01:07.427Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45678.881 ms) ====== [2026-04-22T15:01:08.176Z] ----------------------------------- [2026-04-22T15:01:08.176Z] renaissance-movie-lens_0_PASSED [2026-04-22T15:01:08.176Z] ----------------------------------- [2026-04-22T15:01:08.513Z] [2026-04-22T15:01:08.513Z] TEST TEARDOWN: [2026-04-22T15:01:08.513Z] Nothing to be done for teardown. [2026-04-22T15:01:08.872Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 15:01:08 2026 Epoch Time (ms): 1776870068653