[2026-02-18T21:50:26.257Z] Running test renaissance-movie-lens_0 ... [2026-02-18T21:50:26.257Z] =============================================== [2026-02-18T21:50:26.257Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 21:50:25 2026 Epoch Time (ms): 1771451425905 [2026-02-18T21:50:26.257Z] variation: NoOptions [2026-02-18T21:50:26.257Z] JVM_OPTIONS: [2026-02-18T21:50:26.257Z] { \ [2026-02-18T21:50:26.257Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T21:50:26.257Z] echo "Nothing to be done for setup."; \ [2026-02-18T21:50:26.257Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714505592591/renaissance-movie-lens_0"; \ [2026-02-18T21:50:26.257Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714505592591/renaissance-movie-lens_0"; \ [2026-02-18T21:50:26.257Z] echo ""; echo "TESTING:"; \ [2026-02-18T21:50:26.257Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_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_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714505592591/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T21:50:26.257Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714505592591/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T21:50:26.257Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T21:50:26.257Z] echo "Nothing to be done for teardown."; \ [2026-02-18T21:50:26.257Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17714505592591/TestTargetResult"; [2026-02-18T21:50:26.257Z] [2026-02-18T21:50:26.257Z] TEST SETUP: [2026-02-18T21:50:26.257Z] Nothing to be done for setup. [2026-02-18T21:50:26.257Z] [2026-02-18T21:50:26.257Z] TESTING: [2026-02-18T21:50:30.886Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T21:50:35.533Z] 21:50:35.466 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. [2026-02-18T21:50:37.727Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T21:50:38.041Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T21:50:38.041Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T21:50:38.354Z] GC before operation: completed in 168.551 ms, heap usage 374.146 MB -> 76.392 MB. [2026-02-18T21:50:45.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:50:49.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:50:52.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:50:54.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:50:56.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:50:58.181Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:50:59.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:51:01.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:51:01.381Z] 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. [2026-02-18T21:51:01.693Z] The best model improves the baseline by 14.52%. [2026-02-18T21:51:01.693Z] Top recommended movies for user id 72: [2026-02-18T21:51:01.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:51:01.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:51:01.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:51:01.693Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:51:01.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:51:01.693Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23527.937 ms) ====== [2026-02-18T21:51:01.693Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T21:51:02.011Z] GC before operation: completed in 208.141 ms, heap usage 685.883 MB -> 94.533 MB. [2026-02-18T21:51:04.877Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:51:07.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:51:09.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:51:11.437Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:51:12.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:51:14.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:51:15.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:51:16.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:51:16.808Z] 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. [2026-02-18T21:51:16.808Z] The best model improves the baseline by 14.52%. [2026-02-18T21:51:17.118Z] Top recommended movies for user id 72: [2026-02-18T21:51:17.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:51:17.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:51:17.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:51:17.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:51:17.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:51:17.118Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15073.096 ms) ====== [2026-02-18T21:51:17.118Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T21:51:17.118Z] GC before operation: completed in 187.990 ms, heap usage 755.956 MB -> 93.026 MB. [2026-02-18T21:51:20.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:51:21.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:51:23.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:51:25.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:51:27.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:51:28.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:51:29.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:51:30.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:51:30.839Z] 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. [2026-02-18T21:51:30.839Z] The best model improves the baseline by 14.52%. [2026-02-18T21:51:31.149Z] Top recommended movies for user id 72: [2026-02-18T21:51:31.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:51:31.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:51:31.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:51:31.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:51:31.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:51:31.149Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13758.075 ms) ====== [2026-02-18T21:51:31.149Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T21:51:31.149Z] GC before operation: completed in 173.377 ms, heap usage 689.825 MB -> 93.847 MB. [2026-02-18T21:51:33.319Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:51:35.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:51:37.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:51:39.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:51:40.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:51:42.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:51:43.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:51:44.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:51:44.788Z] 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. [2026-02-18T21:51:44.788Z] The best model improves the baseline by 14.52%. [2026-02-18T21:51:44.788Z] Top recommended movies for user id 72: [2026-02-18T21:51:44.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:51:44.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:51:44.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:51:44.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:51:44.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:51:44.788Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13697.633 ms) ====== [2026-02-18T21:51:44.788Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T21:51:45.101Z] GC before operation: completed in 196.740 ms, heap usage 1.048 GB -> 95.351 MB. [2026-02-18T21:51:47.336Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:51:49.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:51:51.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:51:53.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:51:54.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:51:56.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:51:57.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:51:58.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:51:58.517Z] 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. [2026-02-18T21:51:58.517Z] The best model improves the baseline by 14.52%. [2026-02-18T21:51:58.517Z] Top recommended movies for user id 72: [2026-02-18T21:51:58.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:51:58.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:51:58.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:51:58.517Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:51:58.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:51:58.517Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13532.435 ms) ====== [2026-02-18T21:51:58.517Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T21:51:58.837Z] GC before operation: completed in 142.832 ms, heap usage 736.085 MB -> 94.050 MB. [2026-02-18T21:52:01.190Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:52:02.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:52:04.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:52:06.568Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:52:08.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:52:08.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:52:10.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:52:11.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:52:11.433Z] 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. [2026-02-18T21:52:11.433Z] The best model improves the baseline by 14.52%. [2026-02-18T21:52:11.745Z] Top recommended movies for user id 72: [2026-02-18T21:52:11.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:52:11.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:52:11.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:52:11.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:52:11.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:52:11.745Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12873.342 ms) ====== [2026-02-18T21:52:11.745Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T21:52:11.745Z] GC before operation: completed in 139.723 ms, heap usage 282.736 MB -> 90.668 MB. [2026-02-18T21:52:13.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:52:15.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:52:17.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:52:19.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:52:20.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:52:21.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:52:23.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:52:24.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:52:24.279Z] 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. [2026-02-18T21:52:24.279Z] The best model improves the baseline by 14.52%. [2026-02-18T21:52:24.279Z] Top recommended movies for user id 72: [2026-02-18T21:52:24.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:52:24.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:52:24.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:52:24.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:52:24.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:52:24.279Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12592.172 ms) ====== [2026-02-18T21:52:24.279Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T21:52:24.590Z] GC before operation: completed in 153.078 ms, heap usage 612.418 MB -> 94.234 MB. [2026-02-18T21:52:26.761Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:52:28.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:52:30.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:52:32.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:52:33.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:52:33.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:52:35.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:52:36.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:52:36.606Z] 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. [2026-02-18T21:52:36.606Z] The best model improves the baseline by 14.52%. [2026-02-18T21:52:36.916Z] Top recommended movies for user id 72: [2026-02-18T21:52:36.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:52:36.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:52:36.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:52:36.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:52:36.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:52:36.916Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12384.375 ms) ====== [2026-02-18T21:52:36.916Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T21:52:36.916Z] GC before operation: completed in 127.446 ms, heap usage 308.216 MB -> 90.848 MB. [2026-02-18T21:52:39.107Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:52:41.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:52:43.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:52:45.035Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:52:46.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:52:47.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:52:48.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:52:50.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:52:50.431Z] 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. [2026-02-18T21:52:50.431Z] The best model improves the baseline by 14.52%. [2026-02-18T21:52:50.741Z] Top recommended movies for user id 72: [2026-02-18T21:52:50.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:52:50.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:52:50.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:52:50.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:52:50.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:52:50.741Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13579.016 ms) ====== [2026-02-18T21:52:50.741Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T21:52:50.741Z] GC before operation: completed in 135.399 ms, heap usage 129.722 MB -> 90.413 MB. [2026-02-18T21:52:52.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:52:55.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:52:57.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:52:58.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:53:00.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:53:01.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:53:02.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:53:04.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:53:04.356Z] 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. [2026-02-18T21:53:04.356Z] The best model improves the baseline by 14.52%. [2026-02-18T21:53:04.356Z] Top recommended movies for user id 72: [2026-02-18T21:53:04.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:53:04.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:53:04.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:53:04.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:53:04.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:53:04.356Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13763.957 ms) ====== [2026-02-18T21:53:04.356Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T21:53:04.671Z] GC before operation: completed in 135.421 ms, heap usage 116.617 MB -> 90.670 MB. [2026-02-18T21:53:06.875Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:53:08.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:53:10.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:53:12.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:53:13.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:53:14.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:53:15.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:53:16.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:53:16.839Z] 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. [2026-02-18T21:53:16.839Z] The best model improves the baseline by 14.52%. [2026-02-18T21:53:16.839Z] Top recommended movies for user id 72: [2026-02-18T21:53:16.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:53:16.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:53:16.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:53:16.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:53:16.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:53:16.839Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12310.066 ms) ====== [2026-02-18T21:53:16.839Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T21:53:17.152Z] GC before operation: completed in 180.457 ms, heap usage 686.507 MB -> 94.213 MB. [2026-02-18T21:53:19.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:53:21.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:53:23.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:53:24.717Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:53:25.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:53:26.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:53:28.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:53:28.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:53:29.013Z] 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. [2026-02-18T21:53:29.013Z] The best model improves the baseline by 14.52%. [2026-02-18T21:53:29.325Z] Top recommended movies for user id 72: [2026-02-18T21:53:29.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:53:29.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:53:29.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:53:29.325Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:53:29.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:53:29.325Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12064.031 ms) ====== [2026-02-18T21:53:29.325Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T21:53:29.325Z] GC before operation: completed in 121.106 ms, heap usage 367.725 MB -> 90.873 MB. [2026-02-18T21:53:31.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:53:33.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:53:35.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:53:36.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:53:37.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:53:39.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:53:40.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:53:41.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:53:41.242Z] 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. [2026-02-18T21:53:41.569Z] The best model improves the baseline by 14.52%. [2026-02-18T21:53:41.569Z] Top recommended movies for user id 72: [2026-02-18T21:53:41.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:53:41.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:53:41.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:53:41.569Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:53:41.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:53:41.569Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12218.310 ms) ====== [2026-02-18T21:53:41.569Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T21:53:41.569Z] GC before operation: completed in 148.439 ms, heap usage 797.173 MB -> 94.869 MB. [2026-02-18T21:53:43.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:53:45.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:53:47.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:53:49.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:53:50.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:53:51.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:53:53.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:53:54.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:53:54.630Z] 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. [2026-02-18T21:53:54.630Z] The best model improves the baseline by 14.52%. [2026-02-18T21:53:54.941Z] Top recommended movies for user id 72: [2026-02-18T21:53:54.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:53:54.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:53:54.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:53:54.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:53:54.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:53:54.941Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13157.749 ms) ====== [2026-02-18T21:53:54.941Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T21:53:54.941Z] GC before operation: completed in 125.892 ms, heap usage 445.772 MB -> 90.872 MB. [2026-02-18T21:53:57.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:53:58.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:54:00.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:54:03.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:54:03.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:54:04.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:54:06.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:54:07.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:54:07.929Z] 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. [2026-02-18T21:54:07.929Z] The best model improves the baseline by 14.52%. [2026-02-18T21:54:07.929Z] Top recommended movies for user id 72: [2026-02-18T21:54:07.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:54:07.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:54:07.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:54:07.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:54:07.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:54:07.929Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13006.361 ms) ====== [2026-02-18T21:54:07.929Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T21:54:08.240Z] GC before operation: completed in 124.984 ms, heap usage 380.491 MB -> 91.059 MB. [2026-02-18T21:54:10.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:54:12.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:54:14.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:54:16.363Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:54:17.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:54:18.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:54:19.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:54:21.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:54:21.292Z] 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. [2026-02-18T21:54:21.292Z] The best model improves the baseline by 14.52%. [2026-02-18T21:54:21.604Z] Top recommended movies for user id 72: [2026-02-18T21:54:21.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:54:21.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:54:21.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:54:21.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:54:21.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:54:21.604Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13358.587 ms) ====== [2026-02-18T21:54:21.604Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T21:54:21.604Z] GC before operation: completed in 123.537 ms, heap usage 362.484 MB -> 90.947 MB. [2026-02-18T21:54:23.776Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:54:25.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:54:27.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:54:29.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:54:30.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:54:32.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:54:33.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:54:34.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:54:34.781Z] 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. [2026-02-18T21:54:34.781Z] The best model improves the baseline by 14.52%. [2026-02-18T21:54:35.093Z] Top recommended movies for user id 72: [2026-02-18T21:54:35.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:54:35.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:54:35.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:54:35.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:54:35.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:54:35.093Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13393.929 ms) ====== [2026-02-18T21:54:35.093Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T21:54:35.093Z] GC before operation: completed in 111.363 ms, heap usage 103.639 MB -> 90.975 MB. [2026-02-18T21:54:37.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:54:38.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:54:41.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:54:42.628Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:54:44.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:54:45.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:54:46.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:54:47.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:54:47.950Z] 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. [2026-02-18T21:54:47.950Z] The best model improves the baseline by 14.52%. [2026-02-18T21:54:47.950Z] Top recommended movies for user id 72: [2026-02-18T21:54:47.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:54:47.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:54:47.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:54:47.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:54:47.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:54:47.950Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12973.647 ms) ====== [2026-02-18T21:54:47.950Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T21:54:48.262Z] GC before operation: completed in 111.665 ms, heap usage 394.183 MB -> 90.967 MB. [2026-02-18T21:54:50.442Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:54:52.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:54:54.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:54:56.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:54:57.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:54:58.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:54:59.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:55:01.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:55:01.305Z] 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. [2026-02-18T21:55:01.305Z] The best model improves the baseline by 14.52%. [2026-02-18T21:55:01.305Z] Top recommended movies for user id 72: [2026-02-18T21:55:01.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:55:01.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:55:01.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:55:01.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:55:01.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:55:01.305Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13207.722 ms) ====== [2026-02-18T21:55:01.305Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T21:55:01.620Z] GC before operation: completed in 119.180 ms, heap usage 273.566 MB -> 90.893 MB. [2026-02-18T21:55:03.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:55:05.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:55:07.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:55:09.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:55:10.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:55:11.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:55:13.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:55:14.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:55:14.753Z] 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. [2026-02-18T21:55:14.753Z] The best model improves the baseline by 14.52%. [2026-02-18T21:55:15.064Z] Top recommended movies for user id 72: [2026-02-18T21:55:15.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:55:15.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:55:15.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:55:15.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:55:15.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:55:15.064Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13399.393 ms) ====== [2026-02-18T21:55:15.733Z] ----------------------------------- [2026-02-18T21:55:15.733Z] renaissance-movie-lens_0_PASSED [2026-02-18T21:55:15.733Z] ----------------------------------- [2026-02-18T21:55:15.733Z] [2026-02-18T21:55:15.733Z] TEST TEARDOWN: [2026-02-18T21:55:15.733Z] Nothing to be done for teardown. [2026-02-18T21:55:15.733Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 21:55:15 2026 Epoch Time (ms): 1771451715605