[2026-04-14T04:30:54.656Z] Running test renaissance-movie-lens_0 ... [2026-04-14T04:30:54.656Z] =============================================== [2026-04-14T04:30:54.656Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 04:30:54 2026 Epoch Time (ms): 1776141054128 [2026-04-14T04:30:54.656Z] variation: NoOptions [2026-04-14T04:30:54.656Z] JVM_OPTIONS: [2026-04-14T04:30:54.656Z] { \ [2026-04-14T04:30:54.656Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T04:30:54.656Z] echo "Nothing to be done for setup."; \ [2026-04-14T04:30:54.656Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761396722192/renaissance-movie-lens_0"; \ [2026-04-14T04:30:54.656Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761396722192/renaissance-movie-lens_0"; \ [2026-04-14T04:30:54.656Z] echo ""; echo "TESTING:"; \ [2026-04-14T04:30:54.656Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761396722192/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T04:30:54.656Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761396722192/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T04:30:54.656Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T04:30:54.656Z] echo "Nothing to be done for teardown."; \ [2026-04-14T04:30:54.656Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761396722192/TestTargetResult"; [2026-04-14T04:30:54.656Z] [2026-04-14T04:30:54.656Z] TEST SETUP: [2026-04-14T04:30:54.656Z] Nothing to be done for setup. [2026-04-14T04:30:54.656Z] [2026-04-14T04:30:54.656Z] TESTING: [2026-04-14T04:31:04.387Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T04:31:20.299Z] 04:31:17.891 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T04:31:21.866Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T04:31:23.430Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T04:31:23.430Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T04:31:23.430Z] GC before operation: completed in 215.005 ms, heap usage 150.275 MB -> 74.384 MB. [2026-04-14T04:31:39.507Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:31:47.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:31:57.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:32:04.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:32:08.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:32:11.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:32:16.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:32:21.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:32:21.208Z] 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. [2026-04-14T04:32:21.208Z] The best model improves the baseline by 14.52%. [2026-04-14T04:32:21.962Z] Top recommended movies for user id 72: [2026-04-14T04:32:21.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:32:21.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:32:21.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:32:21.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:32:21.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:32:21.962Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58304.487 ms) ====== [2026-04-14T04:32:21.962Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T04:32:22.714Z] GC before operation: completed in 338.176 ms, heap usage 167.596 MB -> 85.257 MB. [2026-04-14T04:32:29.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:32:35.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:32:41.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:32:47.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:32:51.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:32:54.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:32:58.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:33:02.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:33:02.329Z] 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. [2026-04-14T04:33:02.329Z] The best model improves the baseline by 14.52%. [2026-04-14T04:33:03.087Z] Top recommended movies for user id 72: [2026-04-14T04:33:03.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:33:03.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:33:03.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:33:03.087Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:33:03.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:33:03.087Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40498.687 ms) ====== [2026-04-14T04:33:03.087Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T04:33:03.087Z] GC before operation: completed in 270.491 ms, heap usage 314.905 MB -> 87.609 MB. [2026-04-14T04:33:08.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:33:15.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:33:20.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:33:26.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:33:29.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:33:34.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:33:37.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:33:41.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:33:41.794Z] 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. [2026-04-14T04:33:41.794Z] The best model improves the baseline by 14.52%. [2026-04-14T04:33:41.794Z] Top recommended movies for user id 72: [2026-04-14T04:33:41.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:33:41.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:33:41.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:33:41.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:33:41.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:33:41.794Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38774.251 ms) ====== [2026-04-14T04:33:41.795Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T04:33:42.544Z] GC before operation: completed in 342.844 ms, heap usage 391.601 MB -> 88.341 MB. [2026-04-14T04:33:48.032Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:33:53.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:34:00.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:34:05.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:34:09.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:34:12.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:34:16.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:34:23.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:34:23.025Z] 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. [2026-04-14T04:34:23.025Z] The best model improves the baseline by 14.52%. [2026-04-14T04:34:23.025Z] Top recommended movies for user id 72: [2026-04-14T04:34:23.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:34:23.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:34:23.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:34:23.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:34:23.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:34:23.025Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40366.482 ms) ====== [2026-04-14T04:34:23.025Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T04:34:23.025Z] GC before operation: completed in 273.664 ms, heap usage 416.094 MB -> 88.622 MB. [2026-04-14T04:34:28.566Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:34:35.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:34:45.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:34:53.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:34:55.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:35:00.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:35:03.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:35:06.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:35:06.987Z] 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. [2026-04-14T04:35:06.987Z] The best model improves the baseline by 14.52%. [2026-04-14T04:35:07.745Z] Top recommended movies for user id 72: [2026-04-14T04:35:07.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:35:07.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:35:07.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:35:07.746Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:35:07.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:35:07.746Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (44711.759 ms) ====== [2026-04-14T04:35:07.746Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T04:35:07.746Z] GC before operation: completed in 368.101 ms, heap usage 362.281 MB -> 88.690 MB. [2026-04-14T04:35:14.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:35:20.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:35:25.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:35:31.110Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:35:33.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:35:37.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:35:41.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:35:43.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:35:44.544Z] 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. [2026-04-14T04:35:44.544Z] The best model improves the baseline by 14.52%. [2026-04-14T04:35:44.544Z] Top recommended movies for user id 72: [2026-04-14T04:35:44.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:35:44.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:35:44.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:35:44.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:35:44.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:35:44.544Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (36812.964 ms) ====== [2026-04-14T04:35:44.544Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T04:35:45.300Z] GC before operation: completed in 273.524 ms, heap usage 114.647 MB -> 88.549 MB. [2026-04-14T04:35:50.189Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:35:55.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:36:01.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:36:06.942Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:36:10.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:36:12.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:36:16.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:36:19.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:36:20.223Z] 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. [2026-04-14T04:36:20.223Z] The best model improves the baseline by 14.52%. [2026-04-14T04:36:20.223Z] Top recommended movies for user id 72: [2026-04-14T04:36:20.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:36:20.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:36:20.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:36:20.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:36:20.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:36:20.223Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35175.345 ms) ====== [2026-04-14T04:36:20.223Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T04:36:20.223Z] GC before operation: completed in 330.719 ms, heap usage 444.075 MB -> 88.834 MB. [2026-04-14T04:36:27.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:36:31.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:36:37.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:36:42.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:36:46.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:36:49.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:36:52.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:36:56.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:36:57.135Z] 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. [2026-04-14T04:36:57.135Z] The best model improves the baseline by 14.52%. [2026-04-14T04:36:57.135Z] Top recommended movies for user id 72: [2026-04-14T04:36:57.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:36:57.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:36:57.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:36:57.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:36:57.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:36:57.135Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (36799.854 ms) ====== [2026-04-14T04:36:57.135Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T04:36:57.895Z] GC before operation: completed in 300.292 ms, heap usage 147.997 MB -> 88.718 MB. [2026-04-14T04:37:03.393Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:37:07.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:37:13.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:37:18.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:37:21.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:37:23.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:37:27.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:37:30.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:37:31.392Z] 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. [2026-04-14T04:37:31.392Z] The best model improves the baseline by 14.52%. [2026-04-14T04:37:31.392Z] Top recommended movies for user id 72: [2026-04-14T04:37:31.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:37:31.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:37:31.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:37:31.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:37:31.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:37:31.392Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33666.111 ms) ====== [2026-04-14T04:37:31.392Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T04:37:31.392Z] GC before operation: completed in 247.197 ms, heap usage 438.539 MB -> 88.906 MB. [2026-04-14T04:37:36.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:37:42.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:37:46.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:37:52.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:37:56.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:37:58.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:38:03.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:38:05.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:38:06.270Z] 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. [2026-04-14T04:38:06.270Z] The best model improves the baseline by 14.52%. [2026-04-14T04:38:06.270Z] Top recommended movies for user id 72: [2026-04-14T04:38:06.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:38:06.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:38:06.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:38:06.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:38:06.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:38:06.270Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34626.051 ms) ====== [2026-04-14T04:38:06.270Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T04:38:06.270Z] GC before operation: completed in 284.839 ms, heap usage 196.506 MB -> 88.871 MB. [2026-04-14T04:38:11.777Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:38:17.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:38:22.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:38:28.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:38:31.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:38:35.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:38:38.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:38:42.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:38:42.261Z] 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. [2026-04-14T04:38:42.261Z] The best model improves the baseline by 14.52%. [2026-04-14T04:38:43.014Z] Top recommended movies for user id 72: [2026-04-14T04:38:43.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:38:43.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:38:43.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:38:43.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:38:43.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:38:43.014Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36224.913 ms) ====== [2026-04-14T04:38:43.014Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T04:38:43.014Z] GC before operation: completed in 282.389 ms, heap usage 314.651 MB -> 88.739 MB. [2026-04-14T04:38:48.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:38:52.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:38:58.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:39:03.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:39:07.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:39:09.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:39:13.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:39:16.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:39:16.722Z] 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. [2026-04-14T04:39:16.723Z] The best model improves the baseline by 14.52%. [2026-04-14T04:39:17.486Z] Top recommended movies for user id 72: [2026-04-14T04:39:17.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:39:17.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:39:17.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:39:17.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:39:17.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:39:17.486Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (34158.981 ms) ====== [2026-04-14T04:39:17.486Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T04:39:17.486Z] GC before operation: completed in 250.297 ms, heap usage 182.331 MB -> 88.819 MB. [2026-04-14T04:39:23.003Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:39:28.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:39:33.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:39:38.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:39:42.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:39:45.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:39:48.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:39:52.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:39:52.339Z] 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. [2026-04-14T04:39:52.339Z] The best model improves the baseline by 14.52%. [2026-04-14T04:39:53.096Z] Top recommended movies for user id 72: [2026-04-14T04:39:53.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:39:53.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:39:53.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:39:53.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:39:53.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:39:53.096Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35379.708 ms) ====== [2026-04-14T04:39:53.096Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T04:39:53.096Z] GC before operation: completed in 331.030 ms, heap usage 476.764 MB -> 89.261 MB. [2026-04-14T04:39:58.619Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:40:04.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:40:09.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:40:15.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:40:18.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:40:21.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:40:25.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:40:29.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:40:29.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T04:40:29.251Z] The best model improves the baseline by 14.52%. [2026-04-14T04:40:29.251Z] Top recommended movies for user id 72: [2026-04-14T04:40:29.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:40:29.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:40:29.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:40:29.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:40:29.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:40:29.251Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35830.735 ms) ====== [2026-04-14T04:40:29.251Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T04:40:29.251Z] GC before operation: completed in 235.942 ms, heap usage 202.752 MB -> 88.720 MB. [2026-04-14T04:40:43.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:40:43.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:40:58.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:40:58.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:40:58.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:40:58.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:41:17.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:41:17.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:41:17.794Z] 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. [2026-04-14T04:41:17.794Z] The best model improves the baseline by 14.52%. [2026-04-14T04:41:17.794Z] Top recommended movies for user id 72: [2026-04-14T04:41:17.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:41:17.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:41:17.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:41:17.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:41:17.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:41:17.794Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34106.725 ms) ====== [2026-04-14T04:41:17.794Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T04:41:17.794Z] GC before operation: completed in 286.917 ms, heap usage 133.629 MB -> 88.864 MB. [2026-04-14T04:41:17.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:41:17.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:41:19.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:41:25.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:41:28.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:41:32.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:41:35.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:41:38.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:41:38.505Z] 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. [2026-04-14T04:41:38.505Z] The best model improves the baseline by 14.52%. [2026-04-14T04:41:39.259Z] Top recommended movies for user id 72: [2026-04-14T04:41:39.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:41:39.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:41:39.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:41:39.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:41:39.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:41:39.260Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35475.762 ms) ====== [2026-04-14T04:41:39.260Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T04:41:39.260Z] GC before operation: completed in 306.404 ms, heap usage 179.763 MB -> 88.792 MB. [2026-04-14T04:41:44.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:41:50.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:41:55.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:42:01.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:42:04.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:42:08.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:42:11.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:42:15.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:42:15.787Z] 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. [2026-04-14T04:42:15.787Z] The best model improves the baseline by 14.52%. [2026-04-14T04:42:15.787Z] Top recommended movies for user id 72: [2026-04-14T04:42:15.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:42:15.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:42:15.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:42:15.787Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:42:15.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:42:15.787Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (36420.028 ms) ====== [2026-04-14T04:42:15.787Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T04:42:15.787Z] GC before operation: completed in 257.017 ms, heap usage 166.228 MB -> 88.900 MB. [2026-04-14T04:42:26.054Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:42:31.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:42:38.408Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:42:44.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:42:50.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:42:54.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:42:58.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:43:02.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:43:02.355Z] 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. [2026-04-14T04:43:02.355Z] The best model improves the baseline by 14.52%. [2026-04-14T04:43:02.355Z] Top recommended movies for user id 72: [2026-04-14T04:43:02.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:43:02.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:43:02.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:43:02.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:43:02.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:43:02.355Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46663.442 ms) ====== [2026-04-14T04:43:02.355Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T04:43:03.118Z] GC before operation: completed in 265.393 ms, heap usage 101.669 MB -> 89.113 MB. [2026-04-14T04:43:12.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:43:17.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:43:24.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:43:29.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:43:33.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:43:35.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:43:38.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:43:42.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:43:42.324Z] 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. [2026-04-14T04:43:42.324Z] The best model improves the baseline by 14.52%. [2026-04-14T04:43:43.091Z] Top recommended movies for user id 72: [2026-04-14T04:43:43.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:43:43.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:43:43.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:43:43.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:43:43.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:43:43.092Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (39918.311 ms) ====== [2026-04-14T04:43:43.092Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T04:43:43.092Z] GC before operation: completed in 311.982 ms, heap usage 140.995 MB -> 88.738 MB. [2026-04-14T04:43:48.875Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T04:43:54.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T04:43:59.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T04:44:05.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T04:44:08.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T04:44:12.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T04:44:15.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T04:44:17.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T04:44:18.705Z] 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. [2026-04-14T04:44:18.705Z] The best model improves the baseline by 14.52%. [2026-04-14T04:44:18.705Z] Top recommended movies for user id 72: [2026-04-14T04:44:18.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T04:44:18.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T04:44:18.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T04:44:18.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T04:44:18.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T04:44:18.705Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (35707.125 ms) ====== [2026-04-14T04:44:19.456Z] ----------------------------------- [2026-04-14T04:44:19.456Z] renaissance-movie-lens_0_PASSED [2026-04-14T04:44:19.456Z] ----------------------------------- [2026-04-14T04:44:19.456Z] [2026-04-14T04:44:19.456Z] TEST TEARDOWN: [2026-04-14T04:44:19.456Z] Nothing to be done for teardown. [2026-04-14T04:44:20.205Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 04:44:19 2026 Epoch Time (ms): 1776141859396