[2026-02-11T23:37:08.960Z] Running test renaissance-movie-lens_0 ... [2026-02-11T23:37:08.960Z] =============================================== [2026-02-11T23:37:08.960Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 23:37:08 2026 Epoch Time (ms): 1770853028411 [2026-02-11T23:37:08.960Z] variation: NoOptions [2026-02-11T23:37:08.960Z] JVM_OPTIONS: [2026-02-11T23:37:08.960Z] { \ [2026-02-11T23:37:08.960Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T23:37:08.960Z] echo "Nothing to be done for setup."; \ [2026-02-11T23:37:08.960Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1770852145164/renaissance-movie-lens_0"; \ [2026-02-11T23:37:08.960Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1770852145164/renaissance-movie-lens_0"; \ [2026-02-11T23:37:08.960Z] echo ""; echo "TESTING:"; \ [2026-02-11T23:37:08.960Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1770852145164/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T23:37:08.960Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1770852145164/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T23:37:08.960Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T23:37:08.960Z] echo "Nothing to be done for teardown."; \ [2026-02-11T23:37:08.960Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1770852145164/TestTargetResult"; [2026-02-11T23:37:08.960Z] [2026-02-11T23:37:08.960Z] TEST SETUP: [2026-02-11T23:37:08.960Z] Nothing to be done for setup. [2026-02-11T23:37:08.960Z] [2026-02-11T23:37:08.960Z] TESTING: [2026-02-11T23:37:14.414Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T23:37:21.219Z] 23:37:20.158 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. [2026-02-11T23:37:23.210Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T23:37:23.210Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T23:37:23.210Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T23:37:23.210Z] GC before operation: completed in 150.235 ms, heap usage 204.877 MB -> 75.709 MB. [2026-02-11T23:37:28.870Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:37:33.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:37:36.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:37:39.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:37:41.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:37:43.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:37:44.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:37:46.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:37:46.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:37:46.192Z] The best model improves the baseline by 14.52%. [2026-02-11T23:37:47.164Z] Top recommended movies for user id 72: [2026-02-11T23:37:47.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:37:47.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:37:47.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:37:47.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:37:47.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:37:47.164Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23167.350 ms) ====== [2026-02-11T23:37:47.164Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:37:47.164Z] GC before operation: completed in 141.430 ms, heap usage 453.192 MB -> 95.834 MB. [2026-02-11T23:37:50.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:37:52.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:37:55.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:37:57.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:37:59.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:38:01.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:38:02.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:38:03.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:38:04.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:38:04.655Z] The best model improves the baseline by 14.52%. [2026-02-11T23:38:04.655Z] Top recommended movies for user id 72: [2026-02-11T23:38:04.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:38:04.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:38:04.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:38:04.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:38:04.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:38:04.655Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17782.933 ms) ====== [2026-02-11T23:38:04.655Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:38:04.655Z] GC before operation: completed in 131.027 ms, heap usage 178.420 MB -> 94.275 MB. [2026-02-11T23:38:07.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:09.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:38:12.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:38:14.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:38:16.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:38:17.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:38:19.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:38:20.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:38:20.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:38:20.694Z] The best model improves the baseline by 14.52%. [2026-02-11T23:38:21.666Z] Top recommended movies for user id 72: [2026-02-11T23:38:21.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:38:21.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:38:21.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:38:21.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:38:21.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:38:21.666Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16582.852 ms) ====== [2026-02-11T23:38:21.666Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:38:21.666Z] GC before operation: completed in 148.682 ms, heap usage 224.230 MB -> 93.826 MB. [2026-02-11T23:38:23.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:26.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:38:28.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:38:30.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:38:32.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:38:33.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:38:35.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:38:36.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:38:36.633Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:38:36.633Z] The best model improves the baseline by 14.52%. [2026-02-11T23:38:37.604Z] Top recommended movies for user id 72: [2026-02-11T23:38:37.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:38:37.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:38:37.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:38:37.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:38:37.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:38:37.604Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15601.677 ms) ====== [2026-02-11T23:38:37.604Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:38:37.604Z] GC before operation: completed in 146.673 ms, heap usage 848.688 MB -> 93.843 MB. [2026-02-11T23:38:39.593Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:41.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:38:44.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:38:46.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:38:48.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:38:49.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:38:51.591Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:38:52.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:38:52.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:38:52.563Z] The best model improves the baseline by 14.52%. [2026-02-11T23:38:53.534Z] Top recommended movies for user id 72: [2026-02-11T23:38:53.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:38:53.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:38:53.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:38:53.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:38:53.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:38:53.534Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15775.374 ms) ====== [2026-02-11T23:38:53.534Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:38:53.534Z] GC before operation: completed in 173.622 ms, heap usage 190.586 MB -> 95.558 MB. [2026-02-11T23:38:55.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:58.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:00.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:02.577Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:04.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:05.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:07.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:08.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:08.494Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:39:08.494Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:08.494Z] Top recommended movies for user id 72: [2026-02-11T23:39:08.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:08.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:08.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:08.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:08.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:08.495Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15610.868 ms) ====== [2026-02-11T23:39:08.495Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:39:09.462Z] GC before operation: completed in 154.679 ms, heap usage 618.724 MB -> 94.958 MB. [2026-02-11T23:39:11.452Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:13.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:15.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:17.419Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:20.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:20.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:21.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:23.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:23.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:39:23.805Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:23.805Z] Top recommended movies for user id 72: [2026-02-11T23:39:23.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:23.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:23.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:23.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:23.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:23.805Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15172.953 ms) ====== [2026-02-11T23:39:23.805Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:39:24.780Z] GC before operation: completed in 145.674 ms, heap usage 447.583 MB -> 92.466 MB. [2026-02-11T23:39:26.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:28.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:31.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:33.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:34.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:35.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:37.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:38.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:39.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:39:39.694Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:39.694Z] Top recommended movies for user id 72: [2026-02-11T23:39:39.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:39.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:39.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:39.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:39.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:39.694Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15155.431 ms) ====== [2026-02-11T23:39:39.694Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:39:39.694Z] GC before operation: completed in 134.543 ms, heap usage 294.581 MB -> 94.366 MB. [2026-02-11T23:39:41.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:43.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:46.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:48.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:49.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:50.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:52.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:53.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:54.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:39:54.605Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:54.605Z] Top recommended movies for user id 72: [2026-02-11T23:39:54.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:54.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:54.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:54.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:54.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:54.605Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14814.468 ms) ====== [2026-02-11T23:39:54.605Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:39:54.605Z] GC before operation: completed in 139.152 ms, heap usage 234.125 MB -> 93.433 MB. [2026-02-11T23:39:56.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:59.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:01.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:03.640Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:05.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:06.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:07.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:09.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:09.567Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:40:09.567Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:09.567Z] Top recommended movies for user id 72: [2026-02-11T23:40:09.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:09.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:09.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:09.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:09.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:09.567Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15221.500 ms) ====== [2026-02-11T23:40:09.567Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:40:09.567Z] GC before operation: completed in 146.251 ms, heap usage 187.898 MB -> 94.991 MB. [2026-02-11T23:40:12.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:14.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:16.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:18.622Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:19.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:21.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:22.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:23.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:24.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:40:24.487Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:24.487Z] Top recommended movies for user id 72: [2026-02-11T23:40:24.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:24.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:24.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:24.487Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:24.488Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:24.488Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14517.735 ms) ====== [2026-02-11T23:40:24.488Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:40:24.488Z] GC before operation: completed in 139.927 ms, heap usage 230.356 MB -> 91.677 MB. [2026-02-11T23:40:26.479Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:28.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:31.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:33.534Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:34.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:35.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:37.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:38.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:38.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:40:38.445Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:38.445Z] Top recommended movies for user id 72: [2026-02-11T23:40:38.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:38.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:38.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:38.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:38.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:38.445Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14192.280 ms) ====== [2026-02-11T23:40:38.445Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:40:38.445Z] GC before operation: completed in 129.222 ms, heap usage 495.569 MB -> 90.581 MB. [2026-02-11T23:40:41.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:43.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:45.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:47.433Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:48.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:50.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:51.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:52.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:53.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:40:53.302Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:53.302Z] Top recommended movies for user id 72: [2026-02-11T23:40:53.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:53.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:53.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:53.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:53.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:53.302Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14200.472 ms) ====== [2026-02-11T23:40:53.302Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:40:53.302Z] GC before operation: completed in 135.350 ms, heap usage 279.385 MB -> 90.417 MB. [2026-02-11T23:40:55.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:57.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:00.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:01.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:03.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:04.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:06.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:07.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:08.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:41:08.349Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:08.349Z] Top recommended movies for user id 72: [2026-02-11T23:41:08.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:08.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:08.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:08.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:08.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:08.349Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14889.692 ms) ====== [2026-02-11T23:41:08.349Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:41:08.349Z] GC before operation: completed in 129.377 ms, heap usage 643.274 MB -> 93.950 MB. [2026-02-11T23:41:10.345Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:13.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:15.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:17.422Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:18.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:20.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:21.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:22.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:23.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:41:23.297Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:23.297Z] Top recommended movies for user id 72: [2026-02-11T23:41:23.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:23.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:23.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:23.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:23.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:23.298Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15001.760 ms) ====== [2026-02-11T23:41:23.298Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:41:23.298Z] GC before operation: completed in 125.940 ms, heap usage 384.934 MB -> 92.849 MB. [2026-02-11T23:41:26.377Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:28.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:30.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:33.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:34.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:35.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:37.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:38.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:39.332Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:41:39.332Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:39.332Z] Top recommended movies for user id 72: [2026-02-11T23:41:39.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:39.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:39.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:39.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:39.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:39.332Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15662.870 ms) ====== [2026-02-11T23:41:39.332Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:41:39.332Z] GC before operation: completed in 118.590 ms, heap usage 522.888 MB -> 93.911 MB. [2026-02-11T23:41:41.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:43.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:46.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:48.375Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:49.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:50.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:52.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:53.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:53.385Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:41:53.385Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:53.385Z] Top recommended movies for user id 72: [2026-02-11T23:41:53.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:53.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:53.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:53.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:53.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:53.385Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14573.539 ms) ====== [2026-02-11T23:41:53.385Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:41:54.357Z] GC before operation: completed in 171.259 ms, heap usage 443.846 MB -> 93.939 MB. [2026-02-11T23:41:56.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:58.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:42:00.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:42:02.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:04.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:05.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:06.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:08.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:08.664Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:42:08.664Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:08.664Z] Top recommended movies for user id 72: [2026-02-11T23:42:08.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:08.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:08.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:08.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:08.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:08.664Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14935.804 ms) ====== [2026-02-11T23:42:08.664Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:42:08.664Z] GC before operation: completed in 130.549 ms, heap usage 378.839 MB -> 92.689 MB. [2026-02-11T23:42:11.734Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:42:13.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:42:15.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:42:17.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:18.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:19.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:21.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:22.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:22.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:42:23.627Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:23.627Z] Top recommended movies for user id 72: [2026-02-11T23:42:23.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:23.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:23.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:23.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:23.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:23.627Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14304.469 ms) ====== [2026-02-11T23:42:23.627Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:42:23.627Z] GC before operation: completed in 124.875 ms, heap usage 255.689 MB -> 90.250 MB. [2026-02-11T23:42:25.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:42:27.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:42:29.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:42:31.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:33.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:34.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:35.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:37.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:37.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:42:37.694Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:37.694Z] Top recommended movies for user id 72: [2026-02-11T23:42:37.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:37.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:37.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:37.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:37.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:37.694Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14369.034 ms) ====== [2026-02-11T23:42:38.665Z] ----------------------------------- [2026-02-11T23:42:38.665Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:42:38.665Z] ----------------------------------- [2026-02-11T23:42:38.665Z] [2026-02-11T23:42:38.665Z] TEST TEARDOWN: [2026-02-11T23:42:38.665Z] Nothing to be done for teardown. [2026-02-11T23:42:38.665Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:42:37 2026 Epoch Time (ms): 1770853357802