[2026-02-06T23:18:10.490Z] Running test renaissance-movie-lens_0 ... [2026-02-06T23:18:10.490Z] =============================================== [2026-02-06T23:18:10.490Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 23:18:10 2026 Epoch Time (ms): 1770419890149 [2026-02-06T23:18:10.490Z] variation: NoOptions [2026-02-06T23:18:10.490Z] JVM_OPTIONS: [2026-02-06T23:18:10.490Z] { \ [2026-02-06T23:18:10.490Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T23:18:10.490Z] echo "Nothing to be done for setup."; \ [2026-02-06T23:18:10.490Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17704180219265/renaissance-movie-lens_0"; \ [2026-02-06T23:18:10.490Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17704180219265/renaissance-movie-lens_0"; \ [2026-02-06T23:18:10.490Z] echo ""; echo "TESTING:"; \ [2026-02-06T23:18:10.490Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17704180219265/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T23:18:10.490Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17704180219265/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T23:18:10.490Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T23:18:10.490Z] echo "Nothing to be done for teardown."; \ [2026-02-06T23:18:10.490Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17704180219265/TestTargetResult"; [2026-02-06T23:18:10.490Z] [2026-02-06T23:18:10.490Z] TEST SETUP: [2026-02-06T23:18:10.490Z] Nothing to be done for setup. [2026-02-06T23:18:10.490Z] [2026-02-06T23:18:10.490Z] TESTING: [2026-02-06T23:18:19.676Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-06T23:18:30.682Z] 23:18:29.075 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T23:18:32.973Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T23:18:34.472Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T23:18:34.472Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T23:18:35.134Z] GC before operation: completed in 429.404 ms, heap usage 227.628 MB -> 74.376 MB. [2026-02-06T23:18:46.542Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:18:55.760Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:19:05.127Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:19:12.789Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:19:17.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:19:21.943Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:19:27.313Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:19:32.232Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:19:32.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:19:32.232Z] The best model improves the baseline by 14.34%. [2026-02-06T23:19:32.915Z] Top recommended movies for user id 72: [2026-02-06T23:19:32.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:19:32.915Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:19:32.915Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:19:32.915Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:19:32.915Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:19:32.915Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58101.553 ms) ====== [2026-02-06T23:19:32.915Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T23:19:33.707Z] GC before operation: completed in 523.693 ms, heap usage 135.875 MB -> 88.271 MB. [2026-02-06T23:19:41.372Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:19:49.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:19:56.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:20:04.495Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:20:08.812Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:20:12.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:20:17.169Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:20:20.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:20:20.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:20:20.940Z] The best model improves the baseline by 14.34%. [2026-02-06T23:20:21.588Z] Top recommended movies for user id 72: [2026-02-06T23:20:21.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:20:21.589Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:20:21.589Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:20:21.589Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:20:21.589Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:20:21.589Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47712.351 ms) ====== [2026-02-06T23:20:21.589Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T23:20:21.589Z] GC before operation: completed in 329.380 ms, heap usage 302.623 MB -> 86.845 MB. [2026-02-06T23:20:31.076Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:20:37.540Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:20:45.253Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:20:50.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:20:54.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:20:57.549Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:21:01.712Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:21:05.942Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:21:05.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:21:05.942Z] The best model improves the baseline by 14.34%. [2026-02-06T23:21:05.942Z] Top recommended movies for user id 72: [2026-02-06T23:21:05.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:21:05.942Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:21:05.942Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:21:05.942Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:21:05.942Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:21:05.942Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44479.313 ms) ====== [2026-02-06T23:21:05.942Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T23:21:06.607Z] GC before operation: completed in 584.793 ms, heap usage 327.461 MB -> 89.638 MB. [2026-02-06T23:21:13.032Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:21:19.898Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:21:27.753Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:21:32.972Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:21:37.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:21:40.570Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:21:44.660Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:21:48.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:21:48.616Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:21:48.616Z] The best model improves the baseline by 14.34%. [2026-02-06T23:21:49.354Z] Top recommended movies for user id 72: [2026-02-06T23:21:49.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:21:49.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:21:49.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:21:49.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:21:49.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:21:49.354Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (42497.814 ms) ====== [2026-02-06T23:21:49.354Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T23:21:50.062Z] GC before operation: completed in 585.653 ms, heap usage 160.730 MB -> 87.497 MB. [2026-02-06T23:21:56.394Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:02.812Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:22:09.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:22:14.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:22:17.213Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:22:20.380Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:22:24.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:22:27.622Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:22:28.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:22:28.288Z] The best model improves the baseline by 14.34%. [2026-02-06T23:22:28.288Z] Top recommended movies for user id 72: [2026-02-06T23:22:28.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:22:28.288Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:22:28.288Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:22:28.288Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:22:28.288Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:22:28.288Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38553.094 ms) ====== [2026-02-06T23:22:28.288Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T23:22:28.942Z] GC before operation: completed in 528.334 ms, heap usage 324.448 MB -> 87.703 MB. [2026-02-06T23:22:36.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:43.154Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:22:49.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:22:54.415Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:22:57.571Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:23:01.657Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:23:06.127Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:23:09.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:23:10.305Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:23:10.305Z] The best model improves the baseline by 14.34%. [2026-02-06T23:23:10.305Z] Top recommended movies for user id 72: [2026-02-06T23:23:10.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:23:10.305Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:23:10.305Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:23:10.305Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:23:10.305Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:23:10.305Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (41596.874 ms) ====== [2026-02-06T23:23:10.305Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T23:23:10.954Z] GC before operation: completed in 355.613 ms, heap usage 234.177 MB -> 87.878 MB. [2026-02-06T23:23:16.153Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:23:22.512Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:23:28.925Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:23:34.235Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:23:38.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:23:41.254Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:23:44.599Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:23:47.675Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:23:48.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:23:48.322Z] The best model improves the baseline by 14.34%. [2026-02-06T23:23:48.322Z] Top recommended movies for user id 72: [2026-02-06T23:23:48.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:23:48.322Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:23:48.322Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:23:48.322Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:23:48.322Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:23:48.322Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (37577.604 ms) ====== [2026-02-06T23:23:48.322Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T23:23:48.956Z] GC before operation: completed in 307.475 ms, heap usage 176.127 MB -> 87.707 MB. [2026-02-06T23:23:54.112Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:23:58.079Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:02.353Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:06.285Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:24:08.578Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:24:10.865Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:24:13.890Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:24:16.828Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:24:16.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:24:16.828Z] The best model improves the baseline by 14.34%. [2026-02-06T23:24:16.828Z] Top recommended movies for user id 72: [2026-02-06T23:24:16.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:24:16.828Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:24:16.828Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:24:16.828Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:24:16.828Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:24:16.828Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28426.145 ms) ====== [2026-02-06T23:24:16.828Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T23:24:17.461Z] GC before operation: completed in 374.871 ms, heap usage 231.651 MB -> 88.080 MB. [2026-02-06T23:24:23.507Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:24:27.337Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:32.700Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:36.519Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:24:39.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:24:41.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:24:44.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:24:46.760Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:24:47.448Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:24:47.448Z] The best model improves the baseline by 14.34%. [2026-02-06T23:24:47.448Z] Top recommended movies for user id 72: [2026-02-06T23:24:47.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:24:47.448Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:24:47.448Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:24:47.448Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:24:47.448Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:24:47.448Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30081.151 ms) ====== [2026-02-06T23:24:47.448Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T23:24:48.105Z] GC before operation: completed in 277.708 ms, heap usage 94.575 MB -> 87.941 MB. [2026-02-06T23:24:52.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:24:56.947Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:25:01.814Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:25:06.675Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:09.540Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:25:13.502Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:25:17.174Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:25:21.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:25:21.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:25:21.092Z] The best model improves the baseline by 14.34%. [2026-02-06T23:25:21.092Z] Top recommended movies for user id 72: [2026-02-06T23:25:21.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:25:21.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:25:21.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:25:21.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:25:21.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:25:21.092Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33529.208 ms) ====== [2026-02-06T23:25:21.092Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T23:25:21.782Z] GC before operation: completed in 260.091 ms, heap usage 268.120 MB -> 88.132 MB. [2026-02-06T23:25:25.724Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:25:30.667Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:25:35.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:25:39.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:42.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:25:44.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:25:48.882Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:25:51.512Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:25:52.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:25:52.192Z] The best model improves the baseline by 14.34%. [2026-02-06T23:25:52.192Z] Top recommended movies for user id 72: [2026-02-06T23:25:52.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:25:52.192Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:25:52.192Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:25:52.192Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:25:52.192Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:25:52.192Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30543.889 ms) ====== [2026-02-06T23:25:52.192Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T23:25:52.874Z] GC before operation: completed in 354.208 ms, heap usage 395.866 MB -> 88.110 MB. [2026-02-06T23:25:56.802Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:26:01.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:26:06.992Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:26:11.283Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:26:13.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:26:16.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:26:19.698Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:26:21.826Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:26:22.468Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:26:22.468Z] The best model improves the baseline by 14.34%. [2026-02-06T23:26:22.468Z] Top recommended movies for user id 72: [2026-02-06T23:26:22.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:26:22.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:26:22.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:26:22.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:26:22.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:26:22.468Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30105.076 ms) ====== [2026-02-06T23:26:22.468Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T23:26:23.131Z] GC before operation: completed in 268.495 ms, heap usage 143.612 MB -> 87.951 MB. [2026-02-06T23:26:28.049Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:26:32.408Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:26:38.524Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:26:43.483Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:26:45.606Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:26:49.515Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:26:51.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:26:54.646Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:26:54.646Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:26:54.646Z] The best model improves the baseline by 14.34%. [2026-02-06T23:26:55.289Z] Top recommended movies for user id 72: [2026-02-06T23:26:55.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:26:55.289Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:26:55.289Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:26:55.289Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:26:55.289Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:26:55.289Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32173.123 ms) ====== [2026-02-06T23:26:55.289Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T23:26:55.289Z] GC before operation: completed in 332.484 ms, heap usage 258.777 MB -> 88.293 MB. [2026-02-06T23:27:00.131Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:27:05.091Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:27:10.039Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:27:13.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:27:16.372Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:27:19.457Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:27:22.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:27:25.458Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:27:25.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:27:25.458Z] The best model improves the baseline by 14.34%. [2026-02-06T23:27:25.458Z] Top recommended movies for user id 72: [2026-02-06T23:27:25.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:27:25.458Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:27:25.458Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:27:25.458Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:27:25.458Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:27:25.458Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30214.028 ms) ====== [2026-02-06T23:27:25.458Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T23:27:26.148Z] GC before operation: completed in 293.701 ms, heap usage 153.815 MB -> 87.891 MB. [2026-02-06T23:27:30.082Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:27:35.051Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:27:39.444Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:27:43.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:27:46.097Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:27:49.675Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:27:52.060Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:27:55.087Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:27:55.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:27:55.087Z] The best model improves the baseline by 14.34%. [2026-02-06T23:27:55.734Z] Top recommended movies for user id 72: [2026-02-06T23:27:55.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:27:55.734Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:27:55.734Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:27:55.734Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:27:55.734Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:27:55.734Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29502.548 ms) ====== [2026-02-06T23:27:55.734Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T23:27:55.734Z] GC before operation: completed in 299.118 ms, heap usage 328.468 MB -> 88.382 MB. [2026-02-06T23:28:00.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:28:05.755Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:28:10.812Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:28:15.834Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:28:17.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:28:20.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:28:23.944Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:28:26.039Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:28:26.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:28:26.688Z] The best model improves the baseline by 14.34%. [2026-02-06T23:28:26.688Z] Top recommended movies for user id 72: [2026-02-06T23:28:26.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:28:26.688Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:28:26.688Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:28:26.688Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:28:26.688Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:28:26.688Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31014.420 ms) ====== [2026-02-06T23:28:26.688Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T23:28:26.688Z] GC before operation: completed in 267.843 ms, heap usage 321.975 MB -> 88.216 MB. [2026-02-06T23:28:31.012Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:28:34.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:28:39.833Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:28:44.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:28:47.900Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:28:50.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:28:54.066Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:28:57.113Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:28:57.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:28:57.780Z] The best model improves the baseline by 14.34%. [2026-02-06T23:28:57.780Z] Top recommended movies for user id 72: [2026-02-06T23:28:57.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:28:57.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:28:57.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:28:57.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:28:57.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:28:57.780Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30989.303 ms) ====== [2026-02-06T23:28:57.780Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T23:28:58.474Z] GC before operation: completed in 390.478 ms, heap usage 190.919 MB -> 88.037 MB. [2026-02-06T23:29:03.542Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:29:08.765Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:29:13.762Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:29:17.725Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:29:20.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:29:22.823Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:29:25.753Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:29:27.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:29:27.855Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:29:27.855Z] The best model improves the baseline by 14.34%. [2026-02-06T23:29:28.490Z] Top recommended movies for user id 72: [2026-02-06T23:29:28.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:29:28.490Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:29:28.490Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:29:28.490Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:29:28.490Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:29:28.490Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29978.109 ms) ====== [2026-02-06T23:29:28.490Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T23:29:28.490Z] GC before operation: completed in 292.607 ms, heap usage 269.972 MB -> 88.017 MB. [2026-02-06T23:29:33.513Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:29:37.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:29:42.258Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:29:46.393Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:29:49.346Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:29:51.431Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:29:54.360Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:29:56.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:29:57.091Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:29:57.091Z] The best model improves the baseline by 14.34%. [2026-02-06T23:29:57.091Z] Top recommended movies for user id 72: [2026-02-06T23:29:57.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:29:57.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:29:57.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:29:57.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:29:57.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:29:57.091Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28470.720 ms) ====== [2026-02-06T23:29:57.091Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T23:29:57.717Z] GC before operation: completed in 298.481 ms, heap usage 222.823 MB -> 88.112 MB. [2026-02-06T23:30:01.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:30:04.979Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:30:08.832Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:30:12.712Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:30:14.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:30:17.915Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:30:20.962Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:30:22.957Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:30:23.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T23:30:24.402Z] The best model improves the baseline by 14.34%. [2026-02-06T23:30:24.402Z] Top recommended movies for user id 72: [2026-02-06T23:30:24.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T23:30:24.402Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T23:30:24.402Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T23:30:24.402Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T23:30:24.402Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T23:30:24.402Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26860.396 ms) ====== [2026-02-06T23:30:25.112Z] ----------------------------------- [2026-02-06T23:30:25.112Z] renaissance-movie-lens_0_PASSED [2026-02-06T23:30:25.112Z] ----------------------------------- [2026-02-06T23:30:25.112Z] [2026-02-06T23:30:25.112Z] TEST TEARDOWN: [2026-02-06T23:30:25.112Z] Nothing to be done for teardown. [2026-02-06T23:30:25.112Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 23:30:24 2026 Epoch Time (ms): 1770420624973