[2025-12-03T23:24:27.038Z] Running test renaissance-movie-lens_0 ... [2025-12-03T23:24:27.038Z] =============================================== [2025-12-03T23:24:27.038Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 23:24:26 2025 Epoch Time (ms): 1764804266654 [2025-12-03T23:24:27.038Z] variation: NoOptions [2025-12-03T23:24:27.038Z] JVM_OPTIONS: [2025-12-03T23:24:27.038Z] { \ [2025-12-03T23:24:27.038Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T23:24:27.038Z] echo "Nothing to be done for setup."; \ [2025-12-03T23:24:27.038Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17648023639444/renaissance-movie-lens_0"; \ [2025-12-03T23:24:27.038Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17648023639444/renaissance-movie-lens_0"; \ [2025-12-03T23:24:27.038Z] echo ""; echo "TESTING:"; \ [2025-12-03T23:24:27.038Z] "/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_17648023639444/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T23:24:27.038Z] 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_17648023639444/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T23:24:27.038Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T23:24:27.038Z] echo "Nothing to be done for teardown."; \ [2025-12-03T23:24:27.038Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17648023639444/TestTargetResult"; [2025-12-03T23:24:27.038Z] [2025-12-03T23:24:27.038Z] TEST SETUP: [2025-12-03T23:24:27.038Z] Nothing to be done for setup. [2025-12-03T23:24:27.039Z] [2025-12-03T23:24:27.039Z] TESTING: [2025-12-03T23:24:38.749Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-03T23:24:50.742Z] 23:24:50.099 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-03T23:24:55.043Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T23:24:56.029Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T23:24:56.029Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T23:24:56.029Z] GC before operation: completed in 236.964 ms, heap usage 241.247 MB -> 75.974 MB. [2025-12-03T23:25:10.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:25:18.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:25:25.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:25:31.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:25:36.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:25:39.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:25:44.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:25:47.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:25:48.330Z] 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. [2025-12-03T23:25:48.330Z] The best model improves the baseline by 14.52%. [2025-12-03T23:25:49.322Z] Top recommended movies for user id 72: [2025-12-03T23:25:49.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:25:49.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:25:49.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:25:49.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:25:49.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:25:49.322Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (52959.439 ms) ====== [2025-12-03T23:25:49.322Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T23:25:49.322Z] GC before operation: completed in 283.966 ms, heap usage 382.817 MB -> 86.899 MB. [2025-12-03T23:25:56.138Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:26:01.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:26:09.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:26:13.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:26:17.617Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:26:20.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:26:24.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:26:27.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:26:27.987Z] 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. [2025-12-03T23:26:28.962Z] The best model improves the baseline by 14.52%. [2025-12-03T23:26:28.962Z] Top recommended movies for user id 72: [2025-12-03T23:26:28.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:26:28.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:26:28.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:26:28.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:26:28.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:26:28.962Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (39553.303 ms) ====== [2025-12-03T23:26:28.962Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T23:26:28.962Z] GC before operation: completed in 260.533 ms, heap usage 252.462 MB -> 89.357 MB. [2025-12-03T23:26:34.409Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:26:38.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:26:44.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:26:48.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:26:49.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:26:52.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:26:54.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:26:56.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:26:57.294Z] 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. [2025-12-03T23:26:57.294Z] The best model improves the baseline by 14.52%. [2025-12-03T23:26:57.294Z] Top recommended movies for user id 72: [2025-12-03T23:26:57.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:26:57.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:26:57.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:26:57.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:26:57.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:26:57.294Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28272.237 ms) ====== [2025-12-03T23:26:57.294Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T23:26:58.261Z] GC before operation: completed in 332.680 ms, heap usage 199.364 MB -> 89.358 MB. [2025-12-03T23:27:02.471Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:27:06.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:27:12.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:27:16.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:27:19.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:27:22.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:27:25.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:27:28.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:27:28.553Z] 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. [2025-12-03T23:27:28.553Z] The best model improves the baseline by 14.52%. [2025-12-03T23:27:29.524Z] Top recommended movies for user id 72: [2025-12-03T23:27:29.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:27:29.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:27:29.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:27:29.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:27:29.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:27:29.524Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (31334.245 ms) ====== [2025-12-03T23:27:29.524Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T23:27:29.524Z] GC before operation: completed in 308.940 ms, heap usage 444.306 MB -> 91.919 MB. [2025-12-03T23:27:33.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:27:39.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:27:44.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:27:49.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:27:52.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:27:56.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:27:58.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:28:02.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:28:02.479Z] 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. [2025-12-03T23:28:02.479Z] The best model improves the baseline by 14.52%. [2025-12-03T23:28:02.479Z] Top recommended movies for user id 72: [2025-12-03T23:28:02.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:28:02.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:28:02.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:28:02.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:28:02.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:28:02.479Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33469.895 ms) ====== [2025-12-03T23:28:02.479Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T23:28:03.445Z] GC before operation: completed in 315.295 ms, heap usage 210.305 MB -> 89.686 MB. [2025-12-03T23:28:07.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:28:13.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:28:18.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:28:23.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:28:26.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:28:29.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:28:33.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:28:35.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:28:35.639Z] 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. [2025-12-03T23:28:35.639Z] The best model improves the baseline by 14.52%. [2025-12-03T23:28:36.601Z] Top recommended movies for user id 72: [2025-12-03T23:28:36.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:28:36.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:28:36.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:28:36.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:28:36.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:28:36.601Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33100.235 ms) ====== [2025-12-03T23:28:36.601Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T23:28:36.601Z] GC before operation: completed in 327.329 ms, heap usage 184.781 MB -> 89.990 MB. [2025-12-03T23:28:42.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:28:47.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:28:52.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:28:57.533Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:29:00.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:29:03.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:29:06.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:29:10.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:29:10.723Z] 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. [2025-12-03T23:29:10.723Z] The best model improves the baseline by 14.52%. [2025-12-03T23:29:10.723Z] Top recommended movies for user id 72: [2025-12-03T23:29:10.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:29:10.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:29:10.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:29:10.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:29:10.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:29:10.723Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (33899.090 ms) ====== [2025-12-03T23:29:10.723Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T23:29:10.723Z] GC before operation: completed in 319.007 ms, heap usage 213.742 MB -> 89.956 MB. [2025-12-03T23:29:16.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:29:20.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:29:24.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:29:28.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:29:31.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:29:35.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:29:37.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:29:39.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:29:40.500Z] 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. [2025-12-03T23:29:40.500Z] The best model improves the baseline by 14.52%. [2025-12-03T23:29:40.500Z] Top recommended movies for user id 72: [2025-12-03T23:29:40.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:29:40.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:29:40.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:29:40.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:29:40.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:29:40.500Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29584.212 ms) ====== [2025-12-03T23:29:40.500Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T23:29:40.500Z] GC before operation: completed in 353.601 ms, heap usage 197.566 MB -> 90.174 MB. [2025-12-03T23:29:45.279Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:29:50.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:29:55.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:29:59.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:30:02.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:30:07.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:30:09.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:30:12.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:30:12.380Z] 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. [2025-12-03T23:30:13.343Z] The best model improves the baseline by 14.52%. [2025-12-03T23:30:13.343Z] Top recommended movies for user id 72: [2025-12-03T23:30:13.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:30:13.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:30:13.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:30:13.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:30:13.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:30:13.343Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32521.607 ms) ====== [2025-12-03T23:30:13.343Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T23:30:13.343Z] GC before operation: completed in 295.697 ms, heap usage 213.635 MB -> 90.094 MB. [2025-12-03T23:30:18.833Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:30:23.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:30:29.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:30:34.695Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:30:37.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:30:40.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:30:43.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:30:47.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:30:47.294Z] 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. [2025-12-03T23:30:47.294Z] The best model improves the baseline by 14.52%. [2025-12-03T23:30:47.294Z] Top recommended movies for user id 72: [2025-12-03T23:30:47.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:30:47.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:30:47.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:30:47.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:30:47.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:30:47.294Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33943.617 ms) ====== [2025-12-03T23:30:47.294Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T23:30:48.257Z] GC before operation: completed in 297.689 ms, heap usage 248.133 MB -> 90.315 MB. [2025-12-03T23:30:52.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:30:56.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:31:01.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:31:05.165Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:31:08.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:31:10.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:31:13.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:31:15.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:31:16.308Z] 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. [2025-12-03T23:31:16.308Z] The best model improves the baseline by 14.52%. [2025-12-03T23:31:16.308Z] Top recommended movies for user id 72: [2025-12-03T23:31:16.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:31:16.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:31:16.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:31:16.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:31:16.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:31:16.308Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28559.765 ms) ====== [2025-12-03T23:31:16.308Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T23:31:16.308Z] GC before operation: completed in 230.770 ms, heap usage 232.371 MB -> 90.017 MB. [2025-12-03T23:31:21.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:31:27.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:31:31.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:31:35.348Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:31:38.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:31:40.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:31:43.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:31:45.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:31:46.656Z] 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. [2025-12-03T23:31:46.656Z] The best model improves the baseline by 14.52%. [2025-12-03T23:31:46.656Z] Top recommended movies for user id 72: [2025-12-03T23:31:46.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:31:46.656Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:31:46.656Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:31:46.656Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:31:46.656Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:31:46.656Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29872.831 ms) ====== [2025-12-03T23:31:46.656Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T23:31:46.656Z] GC before operation: completed in 298.167 ms, heap usage 517.097 MB -> 90.647 MB. [2025-12-03T23:31:52.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:31:56.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:32:00.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:32:04.768Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:32:07.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:32:09.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:32:11.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:32:12.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:32:12.717Z] 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. [2025-12-03T23:32:13.676Z] The best model improves the baseline by 14.52%. [2025-12-03T23:32:13.676Z] Top recommended movies for user id 72: [2025-12-03T23:32:13.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:32:13.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:32:13.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:32:13.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:32:13.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:32:13.676Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26487.997 ms) ====== [2025-12-03T23:32:13.676Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T23:32:13.676Z] GC before operation: completed in 186.423 ms, heap usage 428.864 MB -> 90.691 MB. [2025-12-03T23:32:16.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:32:20.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:32:22.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:32:24.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:32:26.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:32:28.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:32:31.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:32:33.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:32:34.341Z] 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. [2025-12-03T23:32:34.341Z] The best model improves the baseline by 14.52%. [2025-12-03T23:32:34.341Z] Top recommended movies for user id 72: [2025-12-03T23:32:34.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:32:34.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:32:34.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:32:34.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:32:34.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:32:34.341Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20838.193 ms) ====== [2025-12-03T23:32:34.341Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T23:32:34.341Z] GC before operation: completed in 222.181 ms, heap usage 450.625 MB -> 90.486 MB. [2025-12-03T23:32:38.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:32:40.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:32:44.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:32:46.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:32:49.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:32:50.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:32:52.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:32:54.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:32:55.730Z] 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. [2025-12-03T23:32:55.730Z] The best model improves the baseline by 14.52%. [2025-12-03T23:32:55.730Z] Top recommended movies for user id 72: [2025-12-03T23:32:55.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:32:55.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:32:55.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:32:55.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:32:55.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:32:55.730Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21198.069 ms) ====== [2025-12-03T23:32:55.730Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T23:32:55.730Z] GC before operation: completed in 235.435 ms, heap usage 458.021 MB -> 90.765 MB. [2025-12-03T23:32:59.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:33:04.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:33:09.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:33:15.424Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:33:17.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:33:20.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:33:24.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:33:27.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:33:28.533Z] 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. [2025-12-03T23:33:28.533Z] The best model improves the baseline by 14.52%. [2025-12-03T23:33:28.533Z] Top recommended movies for user id 72: [2025-12-03T23:33:28.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:33:28.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:33:28.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:33:28.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:33:28.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:33:28.533Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32814.947 ms) ====== [2025-12-03T23:33:28.533Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T23:33:29.495Z] GC before operation: completed in 289.254 ms, heap usage 122.062 MB -> 90.366 MB. [2025-12-03T23:33:33.772Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:33:38.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:33:42.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:33:46.518Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:33:49.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:33:52.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:33:55.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:33:58.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:33:59.864Z] 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. [2025-12-03T23:33:59.864Z] The best model improves the baseline by 14.52%. [2025-12-03T23:33:59.864Z] Top recommended movies for user id 72: [2025-12-03T23:33:59.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:33:59.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:33:59.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:33:59.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:33:59.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:33:59.864Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30998.044 ms) ====== [2025-12-03T23:33:59.864Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T23:34:00.830Z] GC before operation: completed in 328.302 ms, heap usage 287.606 MB -> 90.548 MB. [2025-12-03T23:34:05.745Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:34:11.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:34:15.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:34:21.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:34:23.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:34:26.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:34:29.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:34:32.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:34:32.472Z] 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. [2025-12-03T23:34:32.472Z] The best model improves the baseline by 14.52%. [2025-12-03T23:34:33.466Z] Top recommended movies for user id 72: [2025-12-03T23:34:33.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:34:33.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:34:33.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:34:33.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:34:33.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:34:33.466Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32574.211 ms) ====== [2025-12-03T23:34:33.466Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T23:34:33.466Z] GC before operation: completed in 326.214 ms, heap usage 383.784 MB -> 90.379 MB. [2025-12-03T23:34:38.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:34:43.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:34:48.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:34:53.698Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:34:55.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:34:58.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:01.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:05.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:05.065Z] 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. [2025-12-03T23:35:05.065Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:06.033Z] Top recommended movies for user id 72: [2025-12-03T23:35:06.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:06.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:06.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:06.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:06.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:06.033Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (32495.869 ms) ====== [2025-12-03T23:35:06.033Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T23:35:06.033Z] GC before operation: completed in 292.748 ms, heap usage 447.935 MB -> 90.551 MB. [2025-12-03T23:35:12.018Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:15.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:20.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:25.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:28.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:31.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:33.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:36.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:37.425Z] 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. [2025-12-03T23:35:37.425Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:37.425Z] Top recommended movies for user id 72: [2025-12-03T23:35:37.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:37.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:37.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:37.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:37.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:37.425Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31318.655 ms) ====== [2025-12-03T23:35:39.395Z] ----------------------------------- [2025-12-03T23:35:39.395Z] renaissance-movie-lens_0_PASSED [2025-12-03T23:35:39.395Z] ----------------------------------- [2025-12-03T23:35:39.395Z] [2025-12-03T23:35:39.395Z] TEST TEARDOWN: [2025-12-03T23:35:39.395Z] Nothing to be done for teardown. [2025-12-03T23:35:39.395Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 23:35:38 2025 Epoch Time (ms): 1764804938836