[2026-02-20T22:29:54.460Z] Running test renaissance-movie-lens_0 ... [2026-02-20T22:29:54.460Z] =============================================== [2026-02-20T22:29:54.460Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 22:29:54 2026 Epoch Time (ms): 1771626594045 [2026-02-20T22:29:54.460Z] variation: NoOptions [2026-02-20T22:29:54.460Z] JVM_OPTIONS: [2026-02-20T22:29:54.460Z] { \ [2026-02-20T22:29:54.460Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T22:29:54.460Z] echo "Nothing to be done for setup."; \ [2026-02-20T22:29:54.460Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17716251624300/renaissance-movie-lens_0"; \ [2026-02-20T22:29:54.460Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17716251624300/renaissance-movie-lens_0"; \ [2026-02-20T22:29:54.460Z] echo ""; echo "TESTING:"; \ [2026-02-20T22:29:54.460Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17716251624300/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T22:29:54.460Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17716251624300/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T22:29:54.460Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T22:29:54.460Z] echo "Nothing to be done for teardown."; \ [2026-02-20T22:29:54.460Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17716251624300/TestTargetResult"; [2026-02-20T22:29:54.460Z] [2026-02-20T22:29:54.460Z] TEST SETUP: [2026-02-20T22:29:54.460Z] Nothing to be done for setup. [2026-02-20T22:29:54.460Z] [2026-02-20T22:29:54.460Z] TESTING: [2026-02-20T22:30:03.947Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T22:30:14.677Z] 22:30:14.559 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T22:30:18.977Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T22:30:19.364Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T22:30:19.364Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T22:30:19.743Z] GC before operation: completed in 160.195 ms, heap usage 314.437 MB -> 74.445 MB. [2026-02-20T22:30:31.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:30:37.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:30:42.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:30:48.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:30:51.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:30:54.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:30:57.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:31:00.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:31:00.944Z] 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. [2026-02-20T22:31:00.944Z] The best model improves the baseline by 14.52%. [2026-02-20T22:31:01.326Z] Top recommended movies for user id 72: [2026-02-20T22:31:01.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:31:01.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:31:01.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:31:01.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:31:01.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:31:01.326Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41799.102 ms) ====== [2026-02-20T22:31:01.326Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T22:31:01.708Z] GC before operation: completed in 196.578 ms, heap usage 358.688 MB -> 85.530 MB. [2026-02-20T22:31:06.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:31:11.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:31:16.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:31:21.234Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:31:23.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:31:26.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:31:29.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:31:31.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:31:32.312Z] 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. [2026-02-20T22:31:32.312Z] The best model improves the baseline by 14.52%. [2026-02-20T22:31:32.731Z] Top recommended movies for user id 72: [2026-02-20T22:31:32.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:31:32.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:31:32.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:31:32.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:31:32.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:31:32.731Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30985.305 ms) ====== [2026-02-20T22:31:32.731Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T22:31:32.731Z] GC before operation: completed in 191.330 ms, heap usage 368.180 MB -> 87.590 MB. [2026-02-20T22:31:36.905Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:31:42.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:31:46.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:31:50.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:31:53.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:31:56.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:31:58.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:32:01.966Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:32:01.966Z] 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. [2026-02-20T22:32:01.966Z] The best model improves the baseline by 14.52%. [2026-02-20T22:32:01.966Z] Top recommended movies for user id 72: [2026-02-20T22:32:01.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:32:01.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:32:01.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:32:01.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:32:01.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:32:01.966Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29311.659 ms) ====== [2026-02-20T22:32:01.966Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T22:32:02.328Z] GC before operation: completed in 169.000 ms, heap usage 247.833 MB -> 88.087 MB. [2026-02-20T22:32:06.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:32:11.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:32:15.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:32:19.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:32:21.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:32:24.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:32:27.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:32:31.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:32:31.724Z] 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. [2026-02-20T22:32:31.724Z] The best model improves the baseline by 14.52%. [2026-02-20T22:32:31.724Z] Top recommended movies for user id 72: [2026-02-20T22:32:31.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:32:31.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:32:31.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:32:31.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:32:31.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:32:31.724Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28066.585 ms) ====== [2026-02-20T22:32:31.724Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T22:32:31.724Z] GC before operation: completed in 169.539 ms, heap usage 389.973 MB -> 88.598 MB. [2026-02-20T22:32:34.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:32:38.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:32:43.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:32:46.210Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:32:51.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:32:52.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:32:56.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:32:56.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:32:59.868Z] 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. [2026-02-20T22:32:59.868Z] The best model improves the baseline by 14.52%. [2026-02-20T22:32:59.868Z] Top recommended movies for user id 72: [2026-02-20T22:32:59.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:32:59.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:32:59.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:32:59.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:32:59.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:32:59.868Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26744.468 ms) ====== [2026-02-20T22:32:59.868Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T22:32:59.868Z] GC before operation: completed in 200.143 ms, heap usage 444.958 MB -> 88.520 MB. [2026-02-20T22:33:03.258Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:33:05.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:33:09.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:33:13.866Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:33:15.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:33:21.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:33:21.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:33:26.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:33:26.693Z] 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. [2026-02-20T22:33:26.693Z] The best model improves the baseline by 14.52%. [2026-02-20T22:33:26.693Z] Top recommended movies for user id 72: [2026-02-20T22:33:26.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:33:26.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:33:26.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:33:26.693Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:33:26.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:33:26.693Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26206.376 ms) ====== [2026-02-20T22:33:26.693Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T22:33:26.693Z] GC before operation: completed in 179.373 ms, heap usage 130.202 MB -> 88.532 MB. [2026-02-20T22:33:33.460Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:33:33.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:33:40.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:34:02.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:34:02.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:34:02.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:34:02.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:34:02.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:34:02.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:34:02.388Z] The best model improves the baseline by 14.52%. [2026-02-20T22:34:02.388Z] Top recommended movies for user id 72: [2026-02-20T22:34:02.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:34:02.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:34:02.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:34:02.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:34:02.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:34:02.388Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26441.884 ms) ====== [2026-02-20T22:34:02.388Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T22:34:02.388Z] GC before operation: completed in 173.090 ms, heap usage 359.760 MB -> 88.720 MB. [2026-02-20T22:34:02.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:34:02.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:34:02.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:34:05.923Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:34:08.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:34:11.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:34:13.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:34:16.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:34:16.120Z] 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. [2026-02-20T22:34:16.120Z] The best model improves the baseline by 14.52%. [2026-02-20T22:34:16.487Z] Top recommended movies for user id 72: [2026-02-20T22:34:16.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:34:16.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:34:16.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:34:16.487Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:34:16.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:34:16.487Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25944.328 ms) ====== [2026-02-20T22:34:16.487Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T22:34:16.487Z] GC before operation: completed in 172.289 ms, heap usage 360.452 MB -> 88.914 MB. [2026-02-20T22:34:20.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:34:24.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:34:29.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:34:32.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:34:34.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:34:37.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:34:39.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:34:41.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:34:42.402Z] 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. [2026-02-20T22:34:42.402Z] The best model improves the baseline by 14.52%. [2026-02-20T22:34:42.402Z] Top recommended movies for user id 72: [2026-02-20T22:34:42.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:34:42.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:34:42.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:34:42.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:34:42.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:34:42.402Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25919.095 ms) ====== [2026-02-20T22:34:42.402Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T22:34:42.773Z] GC before operation: completed in 159.159 ms, heap usage 345.266 MB -> 88.799 MB. [2026-02-20T22:34:46.875Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:34:51.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:34:55.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:34:58.302Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:35:00.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:35:03.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:35:05.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:35:07.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:35:08.278Z] 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. [2026-02-20T22:35:08.278Z] The best model improves the baseline by 14.52%. [2026-02-20T22:35:08.638Z] Top recommended movies for user id 72: [2026-02-20T22:35:08.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:35:08.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:35:08.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:35:08.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:35:08.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:35:08.638Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25963.443 ms) ====== [2026-02-20T22:35:08.638Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T22:35:08.638Z] GC before operation: completed in 162.167 ms, heap usage 249.207 MB -> 88.841 MB. [2026-02-20T22:35:12.696Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:35:16.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:35:20.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:35:24.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:35:26.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:35:29.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:35:31.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:35:34.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:35:34.447Z] 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. [2026-02-20T22:35:34.447Z] The best model improves the baseline by 14.52%. [2026-02-20T22:35:34.838Z] Top recommended movies for user id 72: [2026-02-20T22:35:34.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:35:34.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:35:34.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:35:34.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:35:34.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:35:34.838Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25999.624 ms) ====== [2026-02-20T22:35:34.838Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T22:35:34.838Z] GC before operation: completed in 173.337 ms, heap usage 335.149 MB -> 88.691 MB. [2026-02-20T22:35:39.188Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:35:43.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:35:46.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:35:50.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:35:53.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:35:55.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:35:58.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:36:00.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:36:00.719Z] 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. [2026-02-20T22:36:00.719Z] The best model improves the baseline by 14.52%. [2026-02-20T22:36:01.089Z] Top recommended movies for user id 72: [2026-02-20T22:36:01.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:36:01.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:36:01.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:36:01.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:36:01.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:36:01.089Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26064.034 ms) ====== [2026-02-20T22:36:01.089Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T22:36:01.089Z] GC before operation: completed in 164.905 ms, heap usage 118.908 MB -> 88.677 MB. [2026-02-20T22:36:05.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:36:09.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:36:13.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:36:16.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:36:19.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:36:21.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:36:24.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:36:26.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:36:26.656Z] 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. [2026-02-20T22:36:26.656Z] The best model improves the baseline by 14.52%. [2026-02-20T22:36:27.014Z] Top recommended movies for user id 72: [2026-02-20T22:36:27.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:36:27.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:36:27.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:36:27.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:36:27.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:36:27.014Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25849.314 ms) ====== [2026-02-20T22:36:27.014Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T22:36:27.014Z] GC before operation: completed in 166.828 ms, heap usage 149.830 MB -> 88.765 MB. [2026-02-20T22:36:31.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:36:35.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:36:39.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:36:43.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:36:45.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:36:47.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:36:50.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:36:52.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:36:52.532Z] 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. [2026-02-20T22:36:52.532Z] The best model improves the baseline by 14.52%. [2026-02-20T22:36:52.912Z] Top recommended movies for user id 72: [2026-02-20T22:36:52.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:36:52.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:36:52.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:36:52.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:36:52.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:36:52.912Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25746.977 ms) ====== [2026-02-20T22:36:52.912Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T22:36:52.912Z] GC before operation: completed in 165.005 ms, heap usage 154.779 MB -> 88.616 MB. [2026-02-20T22:36:56.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:00.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:05.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:37:09.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:37:10.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:37:13.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:37:15.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:37:18.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:37:18.287Z] 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. [2026-02-20T22:37:18.287Z] The best model improves the baseline by 14.52%. [2026-02-20T22:37:18.679Z] Top recommended movies for user id 72: [2026-02-20T22:37:18.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:37:18.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:37:18.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:37:18.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:37:18.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:37:18.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25577.122 ms) ====== [2026-02-20T22:37:18.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T22:37:18.679Z] GC before operation: completed in 169.802 ms, heap usage 170.462 MB -> 88.916 MB. [2026-02-20T22:37:22.734Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:26.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:31.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:37:35.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:37:36.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:37:39.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:37:42.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:37:44.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:37:44.531Z] 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. [2026-02-20T22:37:44.943Z] The best model improves the baseline by 14.52%. [2026-02-20T22:37:44.943Z] Top recommended movies for user id 72: [2026-02-20T22:37:44.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:37:44.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:37:44.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:37:44.943Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:37:44.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:37:44.943Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26114.934 ms) ====== [2026-02-20T22:37:44.943Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T22:37:45.307Z] GC before operation: completed in 169.069 ms, heap usage 117.373 MB -> 88.650 MB. [2026-02-20T22:37:49.425Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:37:52.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:37:56.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:00.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:01.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:04.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:06.875Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:08.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:09.048Z] 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. [2026-02-20T22:38:09.048Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:09.458Z] Top recommended movies for user id 72: [2026-02-20T22:38:09.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:09.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:09.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:09.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:09.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:09.458Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24283.889 ms) ====== [2026-02-20T22:38:09.458Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T22:38:09.458Z] GC before operation: completed in 170.237 ms, heap usage 416.434 MB -> 89.114 MB. [2026-02-20T22:38:13.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:38:17.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:38:21.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:25.908Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:27.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:29.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:32.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:38:34.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:38:34.754Z] 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. [2026-02-20T22:38:34.754Z] The best model improves the baseline by 14.52%. [2026-02-20T22:38:35.111Z] Top recommended movies for user id 72: [2026-02-20T22:38:35.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:38:35.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:38:35.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:38:35.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:38:35.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:38:35.111Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25543.233 ms) ====== [2026-02-20T22:38:35.111Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T22:38:35.111Z] GC before operation: completed in 167.299 ms, heap usage 214.942 MB -> 88.683 MB. [2026-02-20T22:38:39.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:38:43.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:38:47.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:38:51.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:38:53.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:38:55.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:38:58.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:39:00.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:39:00.823Z] 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. [2026-02-20T22:39:00.823Z] The best model improves the baseline by 14.52%. [2026-02-20T22:39:01.194Z] Top recommended movies for user id 72: [2026-02-20T22:39:01.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:39:01.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:39:01.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:39:01.194Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:39:01.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:39:01.194Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25917.339 ms) ====== [2026-02-20T22:39:01.194Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T22:39:01.194Z] GC before operation: completed in 169.660 ms, heap usage 312.921 MB -> 88.976 MB. [2026-02-20T22:39:05.289Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:39:08.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:39:12.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:39:16.098Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:39:18.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:39:21.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:39:22.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:39:25.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:39:25.577Z] 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. [2026-02-20T22:39:25.577Z] The best model improves the baseline by 14.52%. [2026-02-20T22:39:25.954Z] Top recommended movies for user id 72: [2026-02-20T22:39:25.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:39:25.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:39:25.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:39:25.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:39:25.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:39:25.954Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24480.235 ms) ====== [2026-02-20T22:39:26.852Z] ----------------------------------- [2026-02-20T22:39:26.852Z] renaissance-movie-lens_0_PASSED [2026-02-20T22:39:26.852Z] ----------------------------------- [2026-02-20T22:39:26.852Z] [2026-02-20T22:39:26.852Z] TEST TEARDOWN: [2026-02-20T22:39:26.852Z] Nothing to be done for teardown. [2026-02-20T22:39:26.852Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 22:39:26 2026 Epoch Time (ms): 1771627166382