[2026-03-01T22:37:28.359Z] Running test renaissance-movie-lens_0 ... [2026-03-01T22:37:28.359Z] =============================================== [2026-03-01T22:37:28.359Z] renaissance-movie-lens_0 Start Time: Sun Mar 1 22:37:28 2026 Epoch Time (ms): 1772404648063 [2026-03-01T22:37:28.359Z] variation: NoOptions [2026-03-01T22:37:28.359Z] JVM_OPTIONS: [2026-03-01T22:37:28.359Z] { \ [2026-03-01T22:37:28.359Z] echo ""; echo "TEST SETUP:"; \ [2026-03-01T22:37:28.359Z] echo "Nothing to be done for setup."; \ [2026-03-01T22:37:28.359Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724036288677/renaissance-movie-lens_0"; \ [2026-03-01T22:37:28.359Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724036288677/renaissance-movie-lens_0"; \ [2026-03-01T22:37:28.359Z] echo ""; echo "TESTING:"; \ [2026-03-01T22:37:28.359Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724036288677/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-01T22:37:28.359Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724036288677/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-01T22:37:28.359Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-01T22:37:28.359Z] echo "Nothing to be done for teardown."; \ [2026-03-01T22:37:28.359Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724036288677/TestTargetResult"; [2026-03-01T22:37:28.359Z] [2026-03-01T22:37:28.359Z] TEST SETUP: [2026-03-01T22:37:28.359Z] Nothing to be done for setup. [2026-03-01T22:37:28.359Z] [2026-03-01T22:37:28.359Z] TESTING: [2026-03-01T22:37:33.118Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-01T22:37:42.015Z] 22:37:40.776 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. [2026-03-01T22:37:43.173Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-01T22:37:43.883Z] Training: 60056, validation: 20285, test: 19854 [2026-03-01T22:37:43.883Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-01T22:37:43.883Z] GC before operation: completed in 154.043 ms, heap usage 386.130 MB -> 74.387 MB. [2026-03-01T22:37:51.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:37:56.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:37:59.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:38:02.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:38:04.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:38:06.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:38:08.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:38:10.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:38:10.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:38:10.727Z] The best model improves the baseline by 14.52%. [2026-03-01T22:38:11.060Z] Top recommended movies for user id 72: [2026-03-01T22:38:11.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:38:11.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:38:11.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:38:11.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:38:11.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:38:11.060Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26963.386 ms) ====== [2026-03-01T22:38:11.060Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-01T22:38:11.060Z] GC before operation: completed in 172.927 ms, heap usage 101.406 MB -> 86.452 MB. [2026-03-01T22:38:14.843Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:38:17.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:38:20.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:38:23.061Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:38:24.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:38:25.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:38:28.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:38:29.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:38:29.654Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:38:29.654Z] The best model improves the baseline by 14.52%. [2026-03-01T22:38:29.982Z] Top recommended movies for user id 72: [2026-03-01T22:38:29.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:38:29.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:38:29.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:38:29.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:38:29.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:38:29.982Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18830.443 ms) ====== [2026-03-01T22:38:29.982Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-01T22:38:29.982Z] GC before operation: completed in 216.763 ms, heap usage 514.571 MB -> 87.894 MB. [2026-03-01T22:38:33.791Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:38:36.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:38:39.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:38:41.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:38:42.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:38:44.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:38:46.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:38:47.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:38:48.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:38:48.241Z] The best model improves the baseline by 14.52%. [2026-03-01T22:38:48.573Z] Top recommended movies for user id 72: [2026-03-01T22:38:48.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:38:48.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:38:48.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:38:48.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:38:48.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:38:48.573Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18365.159 ms) ====== [2026-03-01T22:38:48.573Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-01T22:38:48.573Z] GC before operation: completed in 208.642 ms, heap usage 448.227 MB -> 88.450 MB. [2026-03-01T22:38:52.347Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:38:54.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:38:56.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:38:59.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:39:01.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:39:02.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:39:04.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:39:06.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:39:06.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:39:06.086Z] The best model improves the baseline by 14.52%. [2026-03-01T22:39:06.417Z] Top recommended movies for user id 72: [2026-03-01T22:39:06.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:39:06.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:39:06.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:39:06.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:39:06.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:39:06.417Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17566.627 ms) ====== [2026-03-01T22:39:06.417Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-01T22:39:06.417Z] GC before operation: completed in 185.313 ms, heap usage 620.988 MB -> 92.168 MB. [2026-03-01T22:39:09.382Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:39:11.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:39:14.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:39:17.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:39:18.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:39:20.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:39:22.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:39:23.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:39:23.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:39:23.747Z] The best model improves the baseline by 14.52%. [2026-03-01T22:39:24.078Z] Top recommended movies for user id 72: [2026-03-01T22:39:24.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:39:24.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:39:24.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:39:24.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:39:24.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:39:24.078Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17601.475 ms) ====== [2026-03-01T22:39:24.078Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-01T22:39:24.078Z] GC before operation: completed in 159.513 ms, heap usage 175.293 MB -> 88.351 MB. [2026-03-01T22:39:27.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:39:30.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:39:32.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:39:34.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:39:36.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:39:37.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:39:39.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:39:40.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:39:41.104Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:39:41.104Z] The best model improves the baseline by 14.52%. [2026-03-01T22:39:41.104Z] Top recommended movies for user id 72: [2026-03-01T22:39:41.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:39:41.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:39:41.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:39:41.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:39:41.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:39:41.104Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16946.920 ms) ====== [2026-03-01T22:39:41.104Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-01T22:39:41.434Z] GC before operation: completed in 177.533 ms, heap usage 308.328 MB -> 88.820 MB. [2026-03-01T22:39:44.409Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:39:46.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:39:48.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:39:51.222Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:39:52.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:39:54.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:39:55.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:39:57.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:39:57.776Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:39:57.776Z] The best model improves the baseline by 14.52%. [2026-03-01T22:39:57.776Z] Top recommended movies for user id 72: [2026-03-01T22:39:57.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:39:57.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:39:57.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:39:57.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:39:57.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:39:57.776Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16538.670 ms) ====== [2026-03-01T22:39:57.776Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-01T22:39:58.107Z] GC before operation: completed in 175.461 ms, heap usage 118.682 MB -> 88.488 MB. [2026-03-01T22:40:01.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:40:03.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:40:05.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:40:07.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:40:09.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:40:11.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:40:12.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:40:14.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:40:14.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:40:14.350Z] The best model improves the baseline by 14.52%. [2026-03-01T22:40:14.350Z] Top recommended movies for user id 72: [2026-03-01T22:40:14.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:40:14.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:40:14.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:40:14.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:40:14.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:40:14.350Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16311.579 ms) ====== [2026-03-01T22:40:14.350Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-01T22:40:14.681Z] GC before operation: completed in 181.851 ms, heap usage 332.907 MB -> 89.001 MB. [2026-03-01T22:40:17.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:40:19.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:40:22.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:40:24.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:40:26.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:40:27.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:40:29.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:40:30.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:40:30.530Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:40:30.531Z] The best model improves the baseline by 14.52%. [2026-03-01T22:40:30.861Z] Top recommended movies for user id 72: [2026-03-01T22:40:30.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:40:30.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:40:30.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:40:30.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:40:30.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:40:30.861Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16198.404 ms) ====== [2026-03-01T22:40:30.861Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-01T22:40:30.861Z] GC before operation: completed in 155.344 ms, heap usage 141.540 MB -> 88.580 MB. [2026-03-01T22:40:33.847Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:40:36.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:40:39.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:40:41.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:40:42.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:40:44.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:40:45.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:40:47.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:40:47.348Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:40:47.348Z] The best model improves the baseline by 14.52%. [2026-03-01T22:40:47.348Z] Top recommended movies for user id 72: [2026-03-01T22:40:47.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:40:47.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:40:47.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:40:47.348Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:40:47.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:40:47.348Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16466.652 ms) ====== [2026-03-01T22:40:47.348Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-01T22:40:47.679Z] GC before operation: completed in 181.830 ms, heap usage 557.382 MB -> 92.546 MB. [2026-03-01T22:40:50.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:40:53.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:40:55.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:40:57.561Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:40:59.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:41:00.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:41:02.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:41:03.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:41:04.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:41:04.049Z] The best model improves the baseline by 14.52%. [2026-03-01T22:41:04.378Z] Top recommended movies for user id 72: [2026-03-01T22:41:04.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:41:04.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:41:04.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:41:04.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:41:04.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:41:04.379Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16657.462 ms) ====== [2026-03-01T22:41:04.379Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-01T22:41:04.379Z] GC before operation: completed in 186.600 ms, heap usage 431.137 MB -> 88.878 MB. [2026-03-01T22:41:07.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:41:09.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:41:12.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:41:14.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:41:15.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:41:17.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:41:18.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:41:20.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:41:20.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:41:20.523Z] The best model improves the baseline by 14.52%. [2026-03-01T22:41:20.854Z] Top recommended movies for user id 72: [2026-03-01T22:41:20.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:41:20.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:41:20.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:41:20.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:41:20.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:41:20.854Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16358.427 ms) ====== [2026-03-01T22:41:20.854Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-01T22:41:20.854Z] GC before operation: completed in 177.641 ms, heap usage 136.526 MB -> 88.741 MB. [2026-03-01T22:41:23.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:41:26.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:41:29.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:41:30.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:41:32.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:41:34.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:41:35.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:41:37.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:41:37.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:41:37.405Z] The best model improves the baseline by 14.52%. [2026-03-01T22:41:37.405Z] Top recommended movies for user id 72: [2026-03-01T22:41:37.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:41:37.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:41:37.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:41:37.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:41:37.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:41:37.405Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16509.144 ms) ====== [2026-03-01T22:41:37.405Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-01T22:41:37.748Z] GC before operation: completed in 202.319 ms, heap usage 741.097 MB -> 92.830 MB. [2026-03-01T22:41:40.022Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:41:42.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:41:45.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:41:47.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:41:49.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:41:50.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:41:52.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:41:53.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:41:53.580Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:41:53.912Z] The best model improves the baseline by 14.52%. [2026-03-01T22:41:53.912Z] Top recommended movies for user id 72: [2026-03-01T22:41:53.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:41:53.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:41:53.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:41:53.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:41:53.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:41:53.912Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16211.632 ms) ====== [2026-03-01T22:41:53.912Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-01T22:41:53.912Z] GC before operation: completed in 174.197 ms, heap usage 560.060 MB -> 92.479 MB. [2026-03-01T22:41:56.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:41:59.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:42:02.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:42:03.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:42:05.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:42:07.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:42:08.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:42:09.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:42:09.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:42:10.274Z] The best model improves the baseline by 14.52%. [2026-03-01T22:42:10.274Z] Top recommended movies for user id 72: [2026-03-01T22:42:10.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:42:10.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:42:10.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:42:10.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:42:10.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:42:10.274Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16186.672 ms) ====== [2026-03-01T22:42:10.274Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-01T22:42:10.274Z] GC before operation: completed in 159.069 ms, heap usage 310.107 MB -> 89.150 MB. [2026-03-01T22:42:13.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:42:15.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:42:17.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:42:20.110Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:42:21.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:42:22.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:42:24.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:42:25.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:42:26.104Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:42:26.104Z] The best model improves the baseline by 14.52%. [2026-03-01T22:42:26.104Z] Top recommended movies for user id 72: [2026-03-01T22:42:26.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:42:26.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:42:26.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:42:26.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:42:26.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:42:26.104Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15737.167 ms) ====== [2026-03-01T22:42:26.104Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-01T22:42:26.434Z] GC before operation: completed in 168.054 ms, heap usage 516.422 MB -> 89.222 MB. [2026-03-01T22:42:29.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:42:31.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:42:34.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:42:36.317Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:42:37.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:42:39.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:42:40.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:42:42.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:42:42.562Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:42:42.562Z] The best model improves the baseline by 14.52%. [2026-03-01T22:42:42.894Z] Top recommended movies for user id 72: [2026-03-01T22:42:42.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:42:42.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:42:42.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:42:42.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:42:42.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:42:42.894Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16461.229 ms) ====== [2026-03-01T22:42:42.894Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-01T22:42:42.894Z] GC before operation: completed in 179.621 ms, heap usage 310.649 MB -> 89.100 MB. [2026-03-01T22:42:45.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:42:48.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:42:50.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:42:53.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:42:54.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:42:55.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:42:57.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:42:59.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:42:59.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:42:59.004Z] The best model improves the baseline by 14.52%. [2026-03-01T22:42:59.004Z] Top recommended movies for user id 72: [2026-03-01T22:42:59.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:42:59.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:42:59.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:42:59.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:42:59.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:42:59.004Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16189.173 ms) ====== [2026-03-01T22:42:59.004Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-01T22:42:59.336Z] GC before operation: completed in 175.049 ms, heap usage 406.020 MB -> 89.003 MB. [2026-03-01T22:43:02.304Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:43:04.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:43:06.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:43:09.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:43:10.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:43:11.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:43:13.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:43:14.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:43:14.854Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:43:14.854Z] The best model improves the baseline by 14.52%. [2026-03-01T22:43:15.184Z] Top recommended movies for user id 72: [2026-03-01T22:43:15.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:43:15.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:43:15.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:43:15.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:43:15.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:43:15.184Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15821.708 ms) ====== [2026-03-01T22:43:15.184Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-01T22:43:15.184Z] GC before operation: completed in 156.586 ms, heap usage 313.691 MB -> 88.990 MB. [2026-03-01T22:43:18.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:43:20.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:43:22.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:43:25.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:43:26.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:43:27.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:43:29.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:43:31.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:43:31.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T22:43:31.160Z] The best model improves the baseline by 14.52%. [2026-03-01T22:43:31.160Z] Top recommended movies for user id 72: [2026-03-01T22:43:31.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:43:31.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:43:31.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:43:31.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:43:31.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:43:31.160Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15931.779 ms) ====== [2026-03-01T22:43:32.319Z] ----------------------------------- [2026-03-01T22:43:32.319Z] renaissance-movie-lens_0_PASSED [2026-03-01T22:43:32.319Z] ----------------------------------- [2026-03-01T22:43:32.319Z] [2026-03-01T22:43:32.319Z] TEST TEARDOWN: [2026-03-01T22:43:32.319Z] Nothing to be done for teardown. [2026-03-01T22:43:32.319Z] renaissance-movie-lens_0 Finish Time: Sun Mar 1 22:43:31 2026 Epoch Time (ms): 1772405011895