[2026-02-12T15:09:41.763Z] Running test renaissance-movie-lens_0 ... [2026-02-12T15:09:41.763Z] =============================================== [2026-02-12T15:09:41.763Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 15:09:41 2026 Epoch Time (ms): 1770908981610 [2026-02-12T15:09:41.763Z] variation: NoOptions [2026-02-12T15:09:41.763Z] JVM_OPTIONS: [2026-02-12T15:09:41.763Z] { \ [2026-02-12T15:09:41.763Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T15:09:41.763Z] echo "Nothing to be done for setup."; \ [2026-02-12T15:09:41.763Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709082012688/renaissance-movie-lens_0"; \ [2026-02-12T15:09:41.763Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709082012688/renaissance-movie-lens_0"; \ [2026-02-12T15:09:41.763Z] echo ""; echo "TESTING:"; \ [2026-02-12T15:09:41.764Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-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_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709082012688/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T15:09:41.764Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709082012688/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T15:09:41.764Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T15:09:41.764Z] echo "Nothing to be done for teardown."; \ [2026-02-12T15:09:41.764Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709082012688/TestTargetResult"; [2026-02-12T15:09:41.764Z] [2026-02-12T15:09:41.764Z] TEST SETUP: [2026-02-12T15:09:41.764Z] Nothing to be done for setup. [2026-02-12T15:09:41.764Z] [2026-02-12T15:09:41.764Z] TESTING: [2026-02-12T15:09:46.166Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T15:09:52.952Z] 15:09:52.686 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T15:09:55.389Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T15:09:56.186Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T15:09:56.186Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T15:09:56.186Z] GC before operation: completed in 113.571 ms, heap usage 233.159 MB -> 75.600 MB. [2026-02-12T15:10:04.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:10:09.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:10:12.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:10:15.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:10:19.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:10:21.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:10:22.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:10:24.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:10:24.420Z] 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. [2026-02-12T15:10:24.420Z] The best model improves the baseline by 14.52%. [2026-02-12T15:10:24.420Z] Top recommended movies for user id 72: [2026-02-12T15:10:24.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:10:24.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:10:24.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:10:24.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:10:24.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:10:24.420Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28429.001 ms) ====== [2026-02-12T15:10:24.420Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T15:10:25.184Z] GC before operation: completed in 108.858 ms, heap usage 514.591 MB -> 96.370 MB. [2026-02-12T15:10:27.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:10:30.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:10:32.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:10:34.973Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:10:36.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:10:39.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:10:40.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:10:41.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:10:41.662Z] 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. [2026-02-12T15:10:41.662Z] The best model improves the baseline by 14.52%. [2026-02-12T15:10:42.464Z] Top recommended movies for user id 72: [2026-02-12T15:10:42.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:10:42.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:10:42.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:10:42.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:10:42.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:10:42.464Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17237.623 ms) ====== [2026-02-12T15:10:42.464Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T15:10:42.464Z] GC before operation: completed in 104.723 ms, heap usage 378.301 MB -> 90.981 MB. [2026-02-12T15:10:44.909Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:10:46.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:10:49.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:10:51.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:10:53.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:10:55.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:10:56.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:10:58.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:10:58.312Z] 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. [2026-02-12T15:10:58.312Z] The best model improves the baseline by 14.52%. [2026-02-12T15:10:58.312Z] Top recommended movies for user id 72: [2026-02-12T15:10:58.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:10:58.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:10:58.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:10:58.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:10:58.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:10:58.312Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16199.552 ms) ====== [2026-02-12T15:10:58.312Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T15:10:58.312Z] GC before operation: completed in 113.779 ms, heap usage 208.662 MB -> 94.816 MB. [2026-02-12T15:11:00.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:11:03.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:11:05.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:11:08.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:11:08.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:11:10.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:11:12.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:11:13.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:11:13.589Z] 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. [2026-02-12T15:11:13.589Z] The best model improves the baseline by 14.52%. [2026-02-12T15:11:13.589Z] Top recommended movies for user id 72: [2026-02-12T15:11:13.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:11:13.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:11:13.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:11:13.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:11:13.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:11:13.589Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15062.219 ms) ====== [2026-02-12T15:11:13.589Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T15:11:13.589Z] GC before operation: completed in 102.803 ms, heap usage 289.526 MB -> 89.475 MB. [2026-02-12T15:11:16.039Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:11:18.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:11:20.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:11:23.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:11:24.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:11:25.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:11:27.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:11:28.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:11:28.985Z] 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. [2026-02-12T15:11:28.985Z] The best model improves the baseline by 14.52%. [2026-02-12T15:11:28.985Z] Top recommended movies for user id 72: [2026-02-12T15:11:28.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:11:28.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:11:28.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:11:28.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:11:28.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:11:28.985Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15517.410 ms) ====== [2026-02-12T15:11:28.985Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T15:11:28.985Z] GC before operation: completed in 102.704 ms, heap usage 252.175 MB -> 90.621 MB. [2026-02-12T15:11:32.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:11:34.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:11:36.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:11:38.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:11:40.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:11:40.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:11:42.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:11:44.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:11:44.093Z] 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. [2026-02-12T15:11:44.093Z] The best model improves the baseline by 14.52%. [2026-02-12T15:11:44.093Z] Top recommended movies for user id 72: [2026-02-12T15:11:44.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:11:44.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:11:44.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:11:44.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:11:44.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:11:44.093Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14728.855 ms) ====== [2026-02-12T15:11:44.093Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T15:11:44.093Z] GC before operation: completed in 110.262 ms, heap usage 369.227 MB -> 89.939 MB. [2026-02-12T15:11:46.538Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:11:48.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:11:50.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:11:53.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:11:53.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:11:55.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:11:57.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:11:57.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:11:57.774Z] 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. [2026-02-12T15:11:57.774Z] The best model improves the baseline by 14.52%. [2026-02-12T15:11:58.533Z] Top recommended movies for user id 72: [2026-02-12T15:11:58.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:11:58.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:11:58.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:11:58.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:11:58.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:11:58.534Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14053.405 ms) ====== [2026-02-12T15:11:58.534Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T15:11:58.534Z] GC before operation: completed in 99.136 ms, heap usage 443.676 MB -> 90.043 MB. [2026-02-12T15:12:00.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:12:02.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:12:05.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:12:06.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:12:08.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:12:09.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:12:10.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:12:12.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:12:12.083Z] 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. [2026-02-12T15:12:12.083Z] The best model improves the baseline by 14.52%. [2026-02-12T15:12:12.083Z] Top recommended movies for user id 72: [2026-02-12T15:12:12.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:12:12.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:12:12.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:12:12.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:12:12.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:12:12.083Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14004.475 ms) ====== [2026-02-12T15:12:12.083Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T15:12:12.083Z] GC before operation: completed in 102.350 ms, heap usage 176.460 MB -> 89.926 MB. [2026-02-12T15:12:15.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:12:17.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:12:19.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:12:21.573Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:12:23.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:12:23.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:12:25.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:12:26.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:12:27.008Z] 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. [2026-02-12T15:12:27.008Z] The best model improves the baseline by 14.52%. [2026-02-12T15:12:27.008Z] Top recommended movies for user id 72: [2026-02-12T15:12:27.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:12:27.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:12:27.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:12:27.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:12:27.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:12:27.008Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14507.087 ms) ====== [2026-02-12T15:12:27.008Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T15:12:27.008Z] GC before operation: completed in 101.800 ms, heap usage 173.269 MB -> 89.789 MB. [2026-02-12T15:12:29.451Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:12:31.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:12:33.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:12:35.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:12:36.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:12:38.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:12:38.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:12:40.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:12:40.531Z] 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. [2026-02-12T15:12:40.531Z] The best model improves the baseline by 14.52%. [2026-02-12T15:12:40.531Z] Top recommended movies for user id 72: [2026-02-12T15:12:40.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:12:40.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:12:40.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:12:40.531Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:12:40.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:12:40.531Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13728.202 ms) ====== [2026-02-12T15:12:40.531Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T15:12:40.531Z] GC before operation: completed in 100.472 ms, heap usage 205.666 MB -> 89.892 MB. [2026-02-12T15:12:42.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:12:45.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:12:47.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:12:49.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:12:50.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:12:51.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:12:53.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:12:54.136Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:12:54.136Z] 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. [2026-02-12T15:12:54.136Z] The best model improves the baseline by 14.52%. [2026-02-12T15:12:54.899Z] Top recommended movies for user id 72: [2026-02-12T15:12:54.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:12:54.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:12:54.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:12:54.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:12:54.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:12:54.899Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13767.944 ms) ====== [2026-02-12T15:12:54.899Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T15:12:54.899Z] GC before operation: completed in 101.425 ms, heap usage 284.589 MB -> 89.719 MB. [2026-02-12T15:12:57.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:12:58.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:13:01.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:13:03.483Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:13:04.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:13:05.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:13:06.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:13:08.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:13:08.164Z] 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. [2026-02-12T15:13:08.164Z] The best model improves the baseline by 14.52%. [2026-02-12T15:13:08.164Z] Top recommended movies for user id 72: [2026-02-12T15:13:08.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:13:08.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:13:08.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:13:08.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:13:08.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:13:08.164Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13800.502 ms) ====== [2026-02-12T15:13:08.164Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T15:13:08.922Z] GC before operation: completed in 98.868 ms, heap usage 371.654 MB -> 90.207 MB. [2026-02-12T15:13:10.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:13:12.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:13:16.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:13:17.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:13:19.506Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:13:21.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:13:22.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:13:23.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:13:24.192Z] 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. [2026-02-12T15:13:24.192Z] The best model improves the baseline by 14.52%. [2026-02-12T15:13:24.192Z] Top recommended movies for user id 72: [2026-02-12T15:13:24.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:13:24.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:13:24.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:13:24.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:13:24.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:13:24.192Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15487.488 ms) ====== [2026-02-12T15:13:24.192Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T15:13:24.192Z] GC before operation: completed in 105.326 ms, heap usage 227.428 MB -> 94.107 MB. [2026-02-12T15:13:26.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:13:29.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:13:31.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:13:33.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:13:34.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:13:35.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:13:37.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:13:38.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:13:38.619Z] 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. [2026-02-12T15:13:38.619Z] The best model improves the baseline by 14.52%. [2026-02-12T15:13:38.619Z] Top recommended movies for user id 72: [2026-02-12T15:13:38.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:13:38.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:13:38.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:13:38.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:13:38.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:13:38.619Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14578.177 ms) ====== [2026-02-12T15:13:38.619Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T15:13:38.619Z] GC before operation: completed in 105.381 ms, heap usage 267.557 MB -> 95.036 MB. [2026-02-12T15:13:41.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:13:43.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:13:45.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:13:47.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:13:48.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:13:50.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:13:51.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:13:52.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:13:53.214Z] 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. [2026-02-12T15:13:53.214Z] The best model improves the baseline by 14.52%. [2026-02-12T15:13:53.214Z] Top recommended movies for user id 72: [2026-02-12T15:13:53.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:13:53.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:13:53.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:13:53.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:13:53.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:13:53.214Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14106.700 ms) ====== [2026-02-12T15:13:53.214Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T15:13:53.214Z] GC before operation: completed in 99.323 ms, heap usage 270.783 MB -> 92.643 MB. [2026-02-12T15:13:55.663Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:13:57.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:13:59.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:14:01.382Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:14:02.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:14:04.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:14:06.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:14:06.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:14:06.887Z] 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. [2026-02-12T15:14:06.887Z] The best model improves the baseline by 14.52%. [2026-02-12T15:14:06.887Z] Top recommended movies for user id 72: [2026-02-12T15:14:06.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:14:06.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:14:06.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:14:06.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:14:06.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:14:06.887Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14148.908 ms) ====== [2026-02-12T15:14:06.887Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T15:14:07.646Z] GC before operation: completed in 99.495 ms, heap usage 186.970 MB -> 92.293 MB. [2026-02-12T15:14:09.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:14:11.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:14:14.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:14:15.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:14:17.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:14:18.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:14:19.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:14:20.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:14:20.863Z] 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. [2026-02-12T15:14:20.863Z] The best model improves the baseline by 14.52%. [2026-02-12T15:14:20.863Z] Top recommended movies for user id 72: [2026-02-12T15:14:20.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:14:20.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:14:20.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:14:20.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:14:20.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:14:20.863Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13731.452 ms) ====== [2026-02-12T15:14:20.863Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T15:14:20.863Z] GC before operation: completed in 103.011 ms, heap usage 630.520 MB -> 93.738 MB. [2026-02-12T15:14:23.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:14:25.766Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:14:27.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:14:29.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:14:32.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:14:33.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:14:34.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:14:40.136Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:14:40.136Z] 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. [2026-02-12T15:14:40.136Z] The best model improves the baseline by 14.52%. [2026-02-12T15:14:41.907Z] Top recommended movies for user id 72: [2026-02-12T15:14:41.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:14:41.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:14:41.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:14:41.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:14:41.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:14:41.907Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19400.476 ms) ====== [2026-02-12T15:14:41.907Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T15:14:41.907Z] GC before operation: completed in 98.951 ms, heap usage 547.611 MB -> 90.364 MB. [2026-02-12T15:14:44.355Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:14:45.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:14:48.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:14:50.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:14:51.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:14:53.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:14:53.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:14:56.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:14:56.393Z] 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. [2026-02-12T15:14:56.393Z] The best model improves the baseline by 14.52%. [2026-02-12T15:14:56.393Z] Top recommended movies for user id 72: [2026-02-12T15:14:56.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:14:56.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:14:56.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:14:56.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:14:56.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:14:56.393Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15927.794 ms) ====== [2026-02-12T15:14:56.393Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T15:14:56.393Z] GC before operation: completed in 110.548 ms, heap usage 257.610 MB -> 90.019 MB. [2026-02-12T15:14:58.836Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T15:15:04.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T15:15:06.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T15:15:07.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T15:15:09.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T15:15:10.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T15:15:11.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T15:15:13.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T15:15:13.359Z] 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. [2026-02-12T15:15:13.359Z] The best model improves the baseline by 14.52%. [2026-02-12T15:15:13.359Z] Top recommended movies for user id 72: [2026-02-12T15:15:13.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T15:15:13.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T15:15:13.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T15:15:13.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T15:15:13.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T15:15:13.359Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16772.706 ms) ====== [2026-02-12T15:15:14.117Z] ----------------------------------- [2026-02-12T15:15:14.117Z] renaissance-movie-lens_0_PASSED [2026-02-12T15:15:14.117Z] ----------------------------------- [2026-02-12T15:15:14.117Z] [2026-02-12T15:15:14.117Z] TEST TEARDOWN: [2026-02-12T15:15:14.117Z] Nothing to be done for teardown. [2026-02-12T15:15:14.117Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 15:15:13 2026 Epoch Time (ms): 1770909313525