[2026-02-18T22:11:37.678Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:11:37.678Z] =============================================== [2026-02-18T22:11:37.678Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:11:37 2026 Epoch Time (ms): 1771452697186 [2026-02-18T22:11:37.678Z] variation: NoOptions [2026-02-18T22:11:37.678Z] JVM_OPTIONS: [2026-02-18T22:11:37.678Z] { \ [2026-02-18T22:11:37.678Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:11:37.678Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:11:37.678Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17714510738413/renaissance-movie-lens_0"; \ [2026-02-18T22:11:37.678Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17714510738413/renaissance-movie-lens_0"; \ [2026-02-18T22:11:37.678Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:11:37.678Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17714510738413/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:11:37.678Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17714510738413/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:11:37.678Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:11:37.678Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:11:37.678Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17714510738413/TestTargetResult"; [2026-02-18T22:11:37.678Z] [2026-02-18T22:11:37.678Z] TEST SETUP: [2026-02-18T22:11:37.678Z] Nothing to be done for setup. [2026-02-18T22:11:37.678Z] [2026-02-18T22:11:37.678Z] TESTING: [2026-02-18T22:11:53.650Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:12:22.529Z] 22:12:19.922 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T22:12:27.626Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:12:29.643Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:12:29.644Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:12:29.644Z] GC before operation: completed in 352.836 ms, heap usage 478.407 MB -> 76.110 MB. [2026-02-18T22:12:58.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:13:12.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:13:26.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:13:38.253Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:13:46.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:13:50.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:13:57.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:14:03.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:14:03.880Z] 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. [2026-02-18T22:14:04.877Z] The best model improves the baseline by 14.52%. [2026-02-18T22:14:04.877Z] Top recommended movies for user id 72: [2026-02-18T22:14:04.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:14:04.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:14:04.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:14:04.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:14:04.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:14:05.852Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (95236.507 ms) ====== [2026-02-18T22:14:05.852Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:14:05.852Z] GC before operation: completed in 405.425 ms, heap usage 284.970 MB -> 93.876 MB. [2026-02-18T22:14:17.729Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:14:27.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:14:37.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:14:49.760Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:14:55.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:00.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:06.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:15:13.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:15:13.525Z] 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. [2026-02-18T22:15:14.520Z] The best model improves the baseline by 14.52%. [2026-02-18T22:15:14.520Z] Top recommended movies for user id 72: [2026-02-18T22:15:14.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:15:14.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:15:14.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:15:14.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:15:14.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:15:14.520Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68821.770 ms) ====== [2026-02-18T22:15:14.520Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:15:15.510Z] GC before operation: completed in 433.394 ms, heap usage 355.522 MB -> 88.812 MB. [2026-02-18T22:15:25.504Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:15:38.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:46.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:56.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:16:01.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:16:06.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:16:12.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:16:16.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:16:17.282Z] 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. [2026-02-18T22:16:17.282Z] The best model improves the baseline by 14.52%. [2026-02-18T22:16:18.278Z] Top recommended movies for user id 72: [2026-02-18T22:16:18.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:16:18.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:16:18.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:16:18.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:16:18.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:16:18.278Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62977.339 ms) ====== [2026-02-18T22:16:18.278Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:16:18.278Z] GC before operation: completed in 401.655 ms, heap usage 196.338 MB -> 89.372 MB. [2026-02-18T22:16:28.143Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:16:35.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:16:43.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:16:51.693Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:16:56.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:02.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:17:07.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:12.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:13.022Z] 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. [2026-02-18T22:17:13.022Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:13.022Z] Top recommended movies for user id 72: [2026-02-18T22:17:13.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:13.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:13.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:13.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:13.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:13.022Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54806.398 ms) ====== [2026-02-18T22:17:13.022Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:17:14.027Z] GC before operation: completed in 400.001 ms, heap usage 353.347 MB -> 89.793 MB. [2026-02-18T22:17:22.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:30.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:40.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:48.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:17:53.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:58.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:03.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:07.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:07.248Z] 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. [2026-02-18T22:18:07.248Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:08.216Z] Top recommended movies for user id 72: [2026-02-18T22:18:08.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:08.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:08.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:08.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:08.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:08.216Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54385.329 ms) ====== [2026-02-18T22:18:08.216Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:18:08.216Z] GC before operation: completed in 366.053 ms, heap usage 467.946 MB -> 89.842 MB. [2026-02-18T22:18:15.023Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:23.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:32.541Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:41.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:45.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:50.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:57.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:00.587Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:01.565Z] 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. [2026-02-18T22:19:01.565Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:02.547Z] Top recommended movies for user id 72: [2026-02-18T22:19:02.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:02.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:02.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:02.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:02.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:02.547Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54004.113 ms) ====== [2026-02-18T22:19:02.547Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:19:02.547Z] GC before operation: completed in 395.384 ms, heap usage 295.563 MB -> 89.952 MB. [2026-02-18T22:19:09.432Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:14.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:21.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:27.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:30.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:34.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:37.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:41.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:41.543Z] 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. [2026-02-18T22:19:41.543Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:41.543Z] Top recommended movies for user id 72: [2026-02-18T22:19:41.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:41.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:41.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:41.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:41.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:41.543Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39116.653 ms) ====== [2026-02-18T22:19:41.543Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:19:42.533Z] GC before operation: completed in 211.864 ms, heap usage 407.260 MB -> 90.048 MB. [2026-02-18T22:19:47.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:53.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:00.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:05.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:11.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:15.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:20.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:24.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:24.299Z] 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. [2026-02-18T22:20:24.299Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:25.275Z] Top recommended movies for user id 72: [2026-02-18T22:20:25.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:25.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:25.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:25.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:25.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:25.275Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42690.902 ms) ====== [2026-02-18T22:20:25.275Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:20:25.275Z] GC before operation: completed in 327.045 ms, heap usage 156.302 MB -> 89.965 MB. [2026-02-18T22:20:32.191Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:37.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:43.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:50.139Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:54.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:58.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:02.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:07.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:07.251Z] 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. [2026-02-18T22:21:08.920Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:08.920Z] Top recommended movies for user id 72: [2026-02-18T22:21:08.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:08.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:08.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:08.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:08.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:08.920Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43119.513 ms) ====== [2026-02-18T22:21:08.920Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:21:08.920Z] GC before operation: completed in 296.901 ms, heap usage 414.046 MB -> 90.195 MB. [2026-02-18T22:21:15.724Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:22.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:29.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:36.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:40.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:44.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:50.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:54.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:54.743Z] 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. [2026-02-18T22:21:55.735Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:55.735Z] Top recommended movies for user id 72: [2026-02-18T22:21:55.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:55.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:55.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:55.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:55.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:55.735Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47225.177 ms) ====== [2026-02-18T22:21:55.735Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:21:55.735Z] GC before operation: completed in 337.481 ms, heap usage 215.993 MB -> 90.081 MB. [2026-02-18T22:22:04.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:22:09.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:22:15.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:22:22.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:22:25.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:22:28.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:22:32.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:22:35.459Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:22:36.449Z] 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. [2026-02-18T22:22:36.449Z] The best model improves the baseline by 14.52%. [2026-02-18T22:22:36.449Z] Top recommended movies for user id 72: [2026-02-18T22:22:36.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:22:36.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:22:36.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:22:36.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:22:36.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:22:36.450Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (40568.435 ms) ====== [2026-02-18T22:22:36.450Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:22:37.414Z] GC before operation: completed in 276.655 ms, heap usage 162.446 MB -> 90.708 MB. [2026-02-18T22:22:43.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:22:48.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:22:54.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:23:01.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:23:04.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:23:08.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:23:12.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:23:15.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:23:16.980Z] 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. [2026-02-18T22:23:16.980Z] The best model improves the baseline by 14.52%. [2026-02-18T22:23:16.980Z] Top recommended movies for user id 72: [2026-02-18T22:23:16.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:23:16.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:23:16.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:23:16.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:23:16.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:23:16.980Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (40353.260 ms) ====== [2026-02-18T22:23:16.980Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:23:17.962Z] GC before operation: completed in 353.930 ms, heap usage 163.434 MB -> 91.595 MB. [2026-02-18T22:23:24.823Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:23:31.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:23:37.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:23:44.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:23:48.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:23:52.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:23:56.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:24:00.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:24:00.884Z] 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. [2026-02-18T22:24:00.884Z] The best model improves the baseline by 14.52%. [2026-02-18T22:24:00.884Z] Top recommended movies for user id 72: [2026-02-18T22:24:00.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:24:00.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:24:00.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:24:00.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:24:00.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:24:00.884Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (43689.259 ms) ====== [2026-02-18T22:24:00.884Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:24:01.882Z] GC before operation: completed in 371.856 ms, heap usage 295.718 MB -> 90.360 MB. [2026-02-18T22:24:10.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:24:17.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:24:24.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:24:33.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:24:36.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:24:39.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:24:43.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:24:48.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:24:48.193Z] 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. [2026-02-18T22:24:48.193Z] The best model improves the baseline by 14.52%. [2026-02-18T22:24:49.180Z] Top recommended movies for user id 72: [2026-02-18T22:24:49.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:24:49.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:24:49.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:24:49.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:24:49.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:24:49.180Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46989.109 ms) ====== [2026-02-18T22:24:49.180Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:24:49.180Z] GC before operation: completed in 319.753 ms, heap usage 196.841 MB -> 89.958 MB. [2026-02-18T22:24:54.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:25:01.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:25:08.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:25:13.955Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:25:17.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:25:20.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:25:24.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:25:29.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:25:29.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:25:29.458Z] The best model improves the baseline by 14.52%. [2026-02-18T22:25:29.458Z] Top recommended movies for user id 72: [2026-02-18T22:25:29.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:25:29.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:25:29.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:25:29.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:25:29.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:25:29.458Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (40756.356 ms) ====== [2026-02-18T22:25:29.458Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:25:30.430Z] GC before operation: completed in 302.307 ms, heap usage 138.281 MB -> 92.309 MB. [2026-02-18T22:25:37.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:25:42.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:25:48.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:25:53.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:25:57.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:26:00.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:26:03.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:26:07.487Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:26:07.487Z] 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. [2026-02-18T22:26:07.487Z] The best model improves the baseline by 14.52%. [2026-02-18T22:26:07.487Z] Top recommended movies for user id 72: [2026-02-18T22:26:07.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:26:07.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:26:07.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:26:07.487Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:26:07.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:26:07.487Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (37756.295 ms) ====== [2026-02-18T22:26:07.487Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:26:08.468Z] GC before operation: completed in 310.451 ms, heap usage 380.220 MB -> 90.302 MB. [2026-02-18T22:26:15.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:26:21.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:26:28.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:26:33.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:26:37.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:26:41.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:26:45.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:26:49.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:26:50.744Z] 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. [2026-02-18T22:26:50.744Z] The best model improves the baseline by 14.52%. [2026-02-18T22:26:50.744Z] Top recommended movies for user id 72: [2026-02-18T22:26:50.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:26:50.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:26:50.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:26:50.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:26:50.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:26:50.744Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42660.053 ms) ====== [2026-02-18T22:26:50.744Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:26:50.744Z] GC before operation: completed in 290.347 ms, heap usage 161.653 MB -> 90.157 MB. [2026-02-18T22:26:57.613Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:27:04.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:27:11.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:27:16.852Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:27:20.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:27:23.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:27:26.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:27:29.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:27:30.698Z] 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. [2026-02-18T22:27:30.698Z] The best model improves the baseline by 14.52%. [2026-02-18T22:27:30.698Z] Top recommended movies for user id 72: [2026-02-18T22:27:30.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:27:30.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:27:30.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:27:30.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:27:30.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:27:30.698Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (39813.344 ms) ====== [2026-02-18T22:27:30.699Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:27:31.679Z] GC before operation: completed in 318.762 ms, heap usage 210.571 MB -> 90.051 MB. [2026-02-18T22:27:37.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:27:42.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:27:49.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:27:55.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:27:59.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:28:03.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:28:08.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:28:13.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:28:13.108Z] 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. [2026-02-18T22:28:13.108Z] The best model improves the baseline by 14.52%. [2026-02-18T22:28:13.108Z] Top recommended movies for user id 72: [2026-02-18T22:28:13.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:28:13.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:28:13.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:28:13.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:28:13.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:28:13.108Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (41872.281 ms) ====== [2026-02-18T22:28:13.108Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:28:13.108Z] GC before operation: completed in 315.584 ms, heap usage 125.633 MB -> 90.008 MB. [2026-02-18T22:28:21.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:28:28.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:28:36.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:28:43.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:28:47.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:28:51.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:28:56.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:29:00.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:29:01.387Z] 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. [2026-02-18T22:29:01.387Z] The best model improves the baseline by 14.52%. [2026-02-18T22:29:01.387Z] Top recommended movies for user id 72: [2026-02-18T22:29:01.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:29:01.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:29:01.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:29:01.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:29:01.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:29:01.387Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48024.130 ms) ====== [2026-02-18T22:29:03.385Z] ----------------------------------- [2026-02-18T22:29:03.385Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:29:03.385Z] ----------------------------------- [2026-02-18T22:29:03.385Z] [2026-02-18T22:29:03.385Z] TEST TEARDOWN: [2026-02-18T22:29:03.385Z] Nothing to be done for teardown. [2026-02-18T22:29:03.385Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:29:02 2026 Epoch Time (ms): 1771453742712