[2026-02-18T22:09:01.020Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:09:01.020Z] =============================================== [2026-02-18T22:09:01.020Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:09:00 2026 Epoch Time (ms): 1771452540420 [2026-02-18T22:09:01.020Z] variation: NoOptions [2026-02-18T22:09:01.020Z] JVM_OPTIONS: [2026-02-18T22:09:01.020Z] { \ [2026-02-18T22:09:01.020Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:09:01.020Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:09:01.020Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1771451341353/renaissance-movie-lens_0"; \ [2026-02-18T22:09:01.020Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1771451341353/renaissance-movie-lens_0"; \ [2026-02-18T22:09:01.020Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:09:01.020Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1771451341353/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:09:01.020Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1771451341353/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:09:01.020Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:09:01.020Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:09:01.020Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1771451341353/TestTargetResult"; [2026-02-18T22:09:01.020Z] [2026-02-18T22:09:01.020Z] TEST SETUP: [2026-02-18T22:09:01.020Z] Nothing to be done for setup. [2026-02-18T22:09:01.020Z] [2026-02-18T22:09:01.020Z] TESTING: [2026-02-18T22:09:06.156Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-18T22:09:13.497Z] 22:09:12.182 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. [2026-02-18T22:09:15.604Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:09:15.604Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:09:15.604Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:09:16.275Z] GC before operation: completed in 178.312 ms, heap usage 125.930 MB -> 75.427 MB. [2026-02-18T22:09:22.290Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:09:27.106Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:09:32.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:09:35.171Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:09:38.166Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:09:40.301Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:09:43.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:09:45.417Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:09:45.417Z] 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. [2026-02-18T22:09:46.107Z] The best model improves the baseline by 14.34%. [2026-02-18T22:09:46.107Z] Top recommended movies for user id 72: [2026-02-18T22:09:46.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:09:46.107Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:09:46.107Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:09:46.107Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:09:46.107Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:09:46.107Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30178.990 ms) ====== [2026-02-18T22:09:46.107Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:09:46.780Z] GC before operation: completed in 308.428 ms, heap usage 259.581 MB -> 96.856 MB. [2026-02-18T22:09:51.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:09:54.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:09:58.336Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:10:02.243Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:10:03.596Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:10:06.692Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:10:08.825Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:10:11.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:10:11.068Z] 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. [2026-02-18T22:10:11.726Z] The best model improves the baseline by 14.34%. [2026-02-18T22:10:11.726Z] Top recommended movies for user id 72: [2026-02-18T22:10:11.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:10:11.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:10:11.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:10:11.726Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:10:11.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:10:11.726Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25149.218 ms) ====== [2026-02-18T22:10:11.726Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:10:11.726Z] GC before operation: completed in 210.195 ms, heap usage 180.640 MB -> 89.847 MB. [2026-02-18T22:10:15.588Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:10:18.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:10:21.395Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:10:25.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:10:27.366Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:10:29.539Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:10:31.758Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:10:33.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:10:33.792Z] 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. [2026-02-18T22:10:33.792Z] The best model improves the baseline by 14.34%. [2026-02-18T22:10:33.792Z] Top recommended movies for user id 72: [2026-02-18T22:10:33.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:10:33.792Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:10:33.792Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:10:33.792Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:10:33.792Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:10:33.792Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21974.442 ms) ====== [2026-02-18T22:10:33.792Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:10:33.792Z] GC before operation: completed in 204.749 ms, heap usage 357.614 MB -> 88.615 MB. [2026-02-18T22:10:36.721Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:10:39.727Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:10:43.573Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:10:46.430Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:10:47.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:10:49.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:10:51.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:10:54.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:10:54.092Z] 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. [2026-02-18T22:10:54.092Z] The best model improves the baseline by 14.34%. [2026-02-18T22:10:54.092Z] Top recommended movies for user id 72: [2026-02-18T22:10:54.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:10:54.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:10:54.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:10:54.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:10:54.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:10:54.092Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20245.167 ms) ====== [2026-02-18T22:10:54.092Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:10:54.726Z] GC before operation: completed in 186.353 ms, heap usage 177.866 MB -> 88.561 MB. [2026-02-18T22:10:57.301Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:11:00.199Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:11:04.091Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:11:06.218Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:11:08.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:11:10.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:11:11.749Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:11:13.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:11:13.821Z] 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. [2026-02-18T22:11:13.821Z] The best model improves the baseline by 14.34%. [2026-02-18T22:11:13.821Z] Top recommended movies for user id 72: [2026-02-18T22:11:13.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:11:13.821Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:11:13.821Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:11:13.821Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:11:13.821Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:11:13.821Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19573.619 ms) ====== [2026-02-18T22:11:13.821Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:11:14.488Z] GC before operation: completed in 183.118 ms, heap usage 205.123 MB -> 88.591 MB. [2026-02-18T22:11:17.429Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:11:20.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:11:23.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:11:27.106Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:11:28.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:11:30.595Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:11:31.915Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:11:33.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:11:33.978Z] 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. [2026-02-18T22:11:33.978Z] The best model improves the baseline by 14.34%. [2026-02-18T22:11:33.978Z] Top recommended movies for user id 72: [2026-02-18T22:11:33.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:11:33.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:11:33.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:11:33.978Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:11:33.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:11:33.978Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19833.423 ms) ====== [2026-02-18T22:11:33.978Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:11:33.978Z] GC before operation: completed in 195.837 ms, heap usage 205.041 MB -> 88.914 MB. [2026-02-18T22:11:37.938Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:11:40.865Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:11:43.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:11:46.672Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:11:48.786Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:11:50.126Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:11:52.611Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:11:53.917Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:11:53.917Z] 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. [2026-02-18T22:11:53.917Z] The best model improves the baseline by 14.34%. [2026-02-18T22:11:54.566Z] Top recommended movies for user id 72: [2026-02-18T22:11:54.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:11:54.566Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:11:54.566Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:11:54.566Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:11:54.566Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:11:54.566Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20019.157 ms) ====== [2026-02-18T22:11:54.566Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:11:54.566Z] GC before operation: completed in 165.428 ms, heap usage 146.807 MB -> 88.913 MB. [2026-02-18T22:11:57.495Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:12:00.394Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:12:03.349Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:12:06.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:12:07.529Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:12:09.598Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:12:11.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:12:13.027Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:12:13.027Z] 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. [2026-02-18T22:12:13.027Z] The best model improves the baseline by 14.34%. [2026-02-18T22:12:13.669Z] Top recommended movies for user id 72: [2026-02-18T22:12:13.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:12:13.669Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:12:13.669Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:12:13.669Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:12:13.669Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:12:13.669Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19043.905 ms) ====== [2026-02-18T22:12:13.669Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:12:13.669Z] GC before operation: completed in 153.694 ms, heap usage 148.857 MB -> 89.141 MB. [2026-02-18T22:12:16.565Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:12:19.455Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:12:22.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:12:25.297Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:12:27.358Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:12:28.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:12:30.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:12:31.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:12:32.629Z] 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. [2026-02-18T22:12:32.629Z] The best model improves the baseline by 14.34%. [2026-02-18T22:12:32.629Z] Top recommended movies for user id 72: [2026-02-18T22:12:32.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:12:32.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:12:32.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:12:32.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:12:32.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:12:32.629Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18948.002 ms) ====== [2026-02-18T22:12:32.629Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:12:32.629Z] GC before operation: completed in 179.418 ms, heap usage 214.963 MB -> 89.070 MB. [2026-02-18T22:12:35.618Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:12:38.588Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:12:41.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:12:43.509Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:12:45.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:12:46.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:12:48.146Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:12:50.210Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:12:50.210Z] 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. [2026-02-18T22:12:50.210Z] The best model improves the baseline by 14.34%. [2026-02-18T22:12:50.210Z] Top recommended movies for user id 72: [2026-02-18T22:12:50.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:12:50.210Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:12:50.210Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:12:50.210Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:12:50.210Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:12:50.210Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17577.575 ms) ====== [2026-02-18T22:12:50.210Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:12:50.210Z] GC before operation: completed in 167.338 ms, heap usage 384.709 MB -> 89.613 MB. [2026-02-18T22:12:53.168Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:12:56.157Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:12:59.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:13:01.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:13:05.164Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:13:07.246Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:13:10.531Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:13:13.516Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:13:13.516Z] 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. [2026-02-18T22:13:13.516Z] The best model improves the baseline by 14.34%. [2026-02-18T22:13:13.516Z] Top recommended movies for user id 72: [2026-02-18T22:13:13.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:13:13.517Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:13:13.517Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:13:13.517Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:13:13.517Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:13:13.517Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23127.946 ms) ====== [2026-02-18T22:13:13.517Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:13:13.517Z] GC before operation: completed in 178.091 ms, heap usage 183.423 MB -> 92.189 MB. [2026-02-18T22:13:18.313Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:13:20.378Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:13:23.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:13:26.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:13:28.364Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:13:29.728Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:13:31.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:13:33.236Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:13:33.236Z] 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. [2026-02-18T22:13:33.236Z] The best model improves the baseline by 14.34%. [2026-02-18T22:13:33.862Z] Top recommended movies for user id 72: [2026-02-18T22:13:33.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:13:33.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:13:33.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:13:33.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:13:33.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:13:33.862Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19838.759 ms) ====== [2026-02-18T22:13:33.862Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:13:33.862Z] GC before operation: completed in 226.894 ms, heap usage 397.911 MB -> 89.558 MB. [2026-02-18T22:13:36.732Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:13:39.622Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:13:42.518Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:13:46.337Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:13:47.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:13:49.842Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:13:51.125Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:13:52.421Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:13:53.059Z] 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. [2026-02-18T22:13:53.059Z] The best model improves the baseline by 14.34%. [2026-02-18T22:13:53.059Z] Top recommended movies for user id 72: [2026-02-18T22:13:53.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:13:53.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:13:53.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:13:53.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:13:53.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:13:53.059Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19234.208 ms) ====== [2026-02-18T22:13:53.059Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:13:53.059Z] GC before operation: completed in 167.790 ms, heap usage 224.056 MB -> 89.322 MB. [2026-02-18T22:13:56.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:13:59.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:14:02.005Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:14:04.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:14:05.529Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:14:07.765Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:14:09.086Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:14:11.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:14:11.296Z] 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. [2026-02-18T22:14:11.296Z] The best model improves the baseline by 14.34%. [2026-02-18T22:14:11.296Z] Top recommended movies for user id 72: [2026-02-18T22:14:11.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:14:11.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:14:11.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:14:11.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:14:11.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:14:11.296Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18189.146 ms) ====== [2026-02-18T22:14:11.296Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:14:11.953Z] GC before operation: completed in 206.699 ms, heap usage 194.298 MB -> 89.174 MB. [2026-02-18T22:14:14.471Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:14:17.303Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:14:20.257Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:14:23.207Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:14:24.527Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:14:25.852Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:14:28.027Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:14:30.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:14:30.078Z] 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. [2026-02-18T22:14:30.078Z] The best model improves the baseline by 14.34%. [2026-02-18T22:14:30.078Z] Top recommended movies for user id 72: [2026-02-18T22:14:30.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:14:30.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:14:30.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:14:30.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:14:30.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:14:30.078Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18473.958 ms) ====== [2026-02-18T22:14:30.078Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:14:30.078Z] GC before operation: completed in 176.761 ms, heap usage 239.131 MB -> 89.479 MB. [2026-02-18T22:14:32.940Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:14:35.836Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:14:38.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:14:41.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:14:44.484Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:14:46.593Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:14:48.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:14:49.976Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:14:50.627Z] 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. [2026-02-18T22:14:50.627Z] The best model improves the baseline by 14.34%. [2026-02-18T22:14:50.627Z] Top recommended movies for user id 72: [2026-02-18T22:14:50.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:14:50.627Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:14:50.627Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:14:50.627Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:14:50.627Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:14:50.627Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20410.648 ms) ====== [2026-02-18T22:14:50.627Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:14:50.627Z] GC before operation: completed in 165.179 ms, heap usage 127.719 MB -> 92.370 MB. [2026-02-18T22:14:54.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:14:58.339Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:01.305Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:04.272Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:15:05.694Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:07.188Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:09.288Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:15:10.620Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:15:11.323Z] 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. [2026-02-18T22:15:11.323Z] The best model improves the baseline by 14.34%. [2026-02-18T22:15:11.323Z] Top recommended movies for user id 72: [2026-02-18T22:15:11.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:15:11.323Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:15:11.323Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:15:11.323Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:15:11.323Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:15:11.323Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20416.481 ms) ====== [2026-02-18T22:15:11.323Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:15:11.323Z] GC before operation: completed in 158.384 ms, heap usage 185.532 MB -> 91.616 MB. [2026-02-18T22:15:14.237Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:15:17.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:20.533Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:22.617Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:15:24.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:26.063Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:27.381Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:15:28.730Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:15:29.414Z] 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. [2026-02-18T22:15:29.414Z] The best model improves the baseline by 14.34%. [2026-02-18T22:15:29.414Z] Top recommended movies for user id 72: [2026-02-18T22:15:29.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:15:29.414Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:15:29.414Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:15:29.414Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:15:29.414Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:15:29.414Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17991.516 ms) ====== [2026-02-18T22:15:29.414Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:15:29.414Z] GC before operation: completed in 198.459 ms, heap usage 221.994 MB -> 89.143 MB. [2026-02-18T22:15:32.348Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:15:35.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:37.378Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:40.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:15:42.431Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:15:43.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:15:45.871Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:15:47.200Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:15:47.841Z] 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. [2026-02-18T22:15:47.841Z] The best model improves the baseline by 14.34%. [2026-02-18T22:15:47.841Z] Top recommended movies for user id 72: [2026-02-18T22:15:47.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:15:47.841Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:15:47.841Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:15:47.841Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:15:47.841Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:15:47.841Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18151.047 ms) ====== [2026-02-18T22:15:47.841Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:15:47.841Z] GC before operation: completed in 174.566 ms, heap usage 306.337 MB -> 89.461 MB. [2026-02-18T22:15:50.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:15:53.866Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:15:56.798Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:15:58.876Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:16:00.233Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:16:02.346Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:16:04.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:16:05.807Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:16:05.807Z] 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. [2026-02-18T22:16:05.807Z] The best model improves the baseline by 14.34%. [2026-02-18T22:16:06.440Z] Top recommended movies for user id 72: [2026-02-18T22:16:06.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-18T22:16:06.440Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-18T22:16:06.440Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-18T22:16:06.440Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-18T22:16:06.440Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-18T22:16:06.440Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18149.036 ms) ====== [2026-02-18T22:16:06.440Z] ----------------------------------- [2026-02-18T22:16:06.440Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:16:06.440Z] ----------------------------------- [2026-02-18T22:16:06.440Z] [2026-02-18T22:16:06.440Z] TEST TEARDOWN: [2026-02-18T22:16:06.440Z] Nothing to be done for teardown. [2026-02-18T22:16:06.440Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:16:06 2026 Epoch Time (ms): 1771452966275