[2026-04-15T14:09:42.395Z] Running test renaissance-movie-lens_0 ... [2026-04-15T14:09:42.395Z] =============================================== [2026-04-15T14:09:42.395Z] renaissance-movie-lens_0 Start Time: Wed Apr 15 14:09:41 2026 Epoch Time (ms): 1776262181158 [2026-04-15T14:09:42.395Z] variation: NoOptions [2026-04-15T14:09:42.395Z] JVM_OPTIONS: [2026-04-15T14:09:42.395Z] { \ [2026-04-15T14:09:42.395Z] echo ""; echo "TEST SETUP:"; \ [2026-04-15T14:09:42.395Z] echo "Nothing to be done for setup."; \ [2026-04-15T14:09:42.395Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17762613308375/renaissance-movie-lens_0"; \ [2026-04-15T14:09:42.395Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17762613308375/renaissance-movie-lens_0"; \ [2026-04-15T14:09:42.395Z] echo ""; echo "TESTING:"; \ [2026-04-15T14:09:42.395Z] "/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_17762613308375/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-15T14:09:42.395Z] 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_17762613308375/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-15T14:09:42.395Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-15T14:09:42.395Z] echo "Nothing to be done for teardown."; \ [2026-04-15T14:09:42.395Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17762613308375/TestTargetResult"; [2026-04-15T14:09:42.395Z] [2026-04-15T14:09:42.395Z] TEST SETUP: [2026-04-15T14:09:42.395Z] Nothing to be done for setup. [2026-04-15T14:09:42.395Z] [2026-04-15T14:09:42.395Z] TESTING: [2026-04-15T14:09:46.548Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-15T14:09:53.230Z] 14:09:52.836 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-15T14:09:55.185Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-15T14:09:56.137Z] Training: 60056, validation: 20285, test: 19854 [2026-04-15T14:09:56.137Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-15T14:09:56.137Z] GC before operation: completed in 134.254 ms, heap usage 272.869 MB -> 75.860 MB. [2026-04-15T14:10:01.500Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:10:05.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:10:07.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:10:10.171Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:10:11.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:10:13.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:10:15.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:10:15.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:10:15.989Z] 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. [2026-04-15T14:10:16.939Z] The best model improves the baseline by 14.52%. [2026-04-15T14:10:16.939Z] Top recommended movies for user id 72: [2026-04-15T14:10:16.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:10:16.939Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:10:16.939Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:10:16.939Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:10:16.939Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:10:16.939Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20736.887 ms) ====== [2026-04-15T14:10:16.939Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-15T14:10:16.939Z] GC before operation: completed in 139.018 ms, heap usage 482.942 MB -> 93.222 MB. [2026-04-15T14:10:19.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:10:21.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:10:24.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:10:26.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:10:28.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:10:29.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:10:32.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:10:33.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:10:33.548Z] 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. [2026-04-15T14:10:33.548Z] The best model improves the baseline by 14.52%. [2026-04-15T14:10:33.548Z] Top recommended movies for user id 72: [2026-04-15T14:10:33.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:10:33.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:10:33.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:10:33.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:10:33.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:10:33.548Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16609.486 ms) ====== [2026-04-15T14:10:33.548Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-15T14:10:33.548Z] GC before operation: completed in 119.751 ms, heap usage 305.732 MB -> 91.114 MB. [2026-04-15T14:10:36.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:10:39.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:10:41.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:10:43.483Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:10:45.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:10:46.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:10:48.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:10:49.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:10:49.296Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-15T14:10:49.296Z] The best model improves the baseline by 14.52%. [2026-04-15T14:10:49.296Z] Top recommended movies for user id 72: [2026-04-15T14:10:49.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:10:49.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:10:49.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:10:49.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:10:49.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:10:49.296Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16158.752 ms) ====== [2026-04-15T14:10:49.296Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-15T14:10:50.938Z] GC before operation: completed in 178.193 ms, heap usage 280.834 MB -> 89.557 MB. [2026-04-15T14:10:51.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:10:54.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:10:56.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:10:58.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:11:00.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:11:01.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:11:03.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:11:04.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:11:04.703Z] 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. [2026-04-15T14:11:04.703Z] The best model improves the baseline by 14.52%. [2026-04-15T14:11:04.703Z] Top recommended movies for user id 72: [2026-04-15T14:11:04.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:11:04.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:11:04.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:11:04.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:11:04.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:11:04.703Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15183.201 ms) ====== [2026-04-15T14:11:04.703Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-15T14:11:05.653Z] GC before operation: completed in 164.129 ms, heap usage 254.550 MB -> 90.938 MB. [2026-04-15T14:11:07.604Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:11:10.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:11:12.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:11:15.577Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:11:16.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:11:17.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:11:19.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:11:20.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:11:21.339Z] 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. [2026-04-15T14:11:21.339Z] The best model improves the baseline by 14.52%. [2026-04-15T14:11:21.339Z] Top recommended movies for user id 72: [2026-04-15T14:11:21.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:11:21.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:11:21.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:11:21.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:11:21.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:11:21.339Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16025.772 ms) ====== [2026-04-15T14:11:21.339Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-15T14:11:21.339Z] GC before operation: completed in 137.750 ms, heap usage 475.354 MB -> 93.245 MB. [2026-04-15T14:11:23.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:11:26.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:11:28.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:11:30.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:11:31.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:11:33.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:11:34.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:11:37.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:11:37.084Z] 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. [2026-04-15T14:11:37.084Z] The best model improves the baseline by 14.52%. [2026-04-15T14:11:37.084Z] Top recommended movies for user id 72: [2026-04-15T14:11:37.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:11:37.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:11:37.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:11:37.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:11:37.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:11:37.084Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14645.569 ms) ====== [2026-04-15T14:11:37.084Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-15T14:11:37.084Z] GC before operation: completed in 151.587 ms, heap usage 277.386 MB -> 93.090 MB. [2026-04-15T14:11:38.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:11:39.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:11:43.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:11:44.956Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:11:46.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:11:47.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:11:48.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:11:50.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:11:50.759Z] 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. [2026-04-15T14:11:50.759Z] The best model improves the baseline by 14.52%. [2026-04-15T14:11:50.759Z] Top recommended movies for user id 72: [2026-04-15T14:11:50.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:11:50.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:11:50.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:11:50.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:11:50.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:11:50.759Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14752.122 ms) ====== [2026-04-15T14:11:50.759Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-15T14:11:50.759Z] GC before operation: completed in 129.572 ms, heap usage 191.273 MB -> 91.145 MB. [2026-04-15T14:11:53.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:11:55.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:11:58.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:12:00.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:12:02.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:12:03.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:12:04.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:12:06.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:12:06.515Z] 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. [2026-04-15T14:12:06.515Z] The best model improves the baseline by 14.52%. [2026-04-15T14:12:06.515Z] Top recommended movies for user id 72: [2026-04-15T14:12:06.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:12:06.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:12:06.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:12:06.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:12:06.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:12:06.515Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15539.058 ms) ====== [2026-04-15T14:12:06.515Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-15T14:12:06.515Z] GC before operation: completed in 150.515 ms, heap usage 284.469 MB -> 96.195 MB. [2026-04-15T14:12:09.531Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:12:11.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:12:13.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:12:15.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:12:16.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:12:18.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:12:19.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:12:20.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:12:20.775Z] 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. [2026-04-15T14:12:20.775Z] The best model improves the baseline by 14.52%. [2026-04-15T14:12:20.775Z] Top recommended movies for user id 72: [2026-04-15T14:12:20.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:12:20.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:12:20.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:12:20.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:12:20.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:12:20.775Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14327.466 ms) ====== [2026-04-15T14:12:20.775Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-15T14:12:21.724Z] GC before operation: completed in 115.219 ms, heap usage 545.280 MB -> 93.811 MB. [2026-04-15T14:12:23.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:12:25.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:12:27.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:12:29.542Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:12:30.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:12:32.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:12:33.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:12:34.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:12:35.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-15T14:12:35.294Z] The best model improves the baseline by 14.52%. [2026-04-15T14:12:35.294Z] Top recommended movies for user id 72: [2026-04-15T14:12:35.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:12:35.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:12:35.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:12:35.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:12:35.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:12:35.294Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13830.683 ms) ====== [2026-04-15T14:12:35.294Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-15T14:12:35.294Z] GC before operation: completed in 119.211 ms, heap usage 497.739 MB -> 90.643 MB. [2026-04-15T14:12:37.246Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:12:39.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:12:41.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:12:43.115Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:12:45.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:12:46.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:12:46.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:12:48.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:12:48.916Z] 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. [2026-04-15T14:12:48.916Z] The best model improves the baseline by 14.52%. [2026-04-15T14:12:48.916Z] Top recommended movies for user id 72: [2026-04-15T14:12:48.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:12:48.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:12:48.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:12:48.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:12:48.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:12:48.917Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13879.525 ms) ====== [2026-04-15T14:12:48.917Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-15T14:12:48.917Z] GC before operation: completed in 123.270 ms, heap usage 226.560 MB -> 89.979 MB. [2026-04-15T14:12:50.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:12:53.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:12:55.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:12:57.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:12:58.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:13:00.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:13:01.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:13:03.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:13:03.276Z] 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. [2026-04-15T14:13:03.276Z] The best model improves the baseline by 14.52%. [2026-04-15T14:13:03.276Z] Top recommended movies for user id 72: [2026-04-15T14:13:03.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:13:03.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:13:03.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:13:03.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:13:03.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:13:03.276Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14301.700 ms) ====== [2026-04-15T14:13:03.276Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-15T14:13:03.276Z] GC before operation: completed in 135.918 ms, heap usage 428.006 MB -> 90.492 MB. [2026-04-15T14:13:06.290Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:13:09.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:13:12.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:13:14.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:13:15.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:13:17.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:13:18.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:13:19.097Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:13:19.097Z] 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. [2026-04-15T14:13:19.097Z] The best model improves the baseline by 14.52%. [2026-04-15T14:13:20.044Z] Top recommended movies for user id 72: [2026-04-15T14:13:20.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:13:20.044Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:13:20.044Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:13:20.044Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:13:20.044Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:13:20.044Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16061.175 ms) ====== [2026-04-15T14:13:20.044Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-15T14:13:20.044Z] GC before operation: completed in 121.494 ms, heap usage 371.600 MB -> 97.341 MB. [2026-04-15T14:13:21.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:13:23.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:13:25.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:13:27.831Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:13:28.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:13:30.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:13:31.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:13:32.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:13:33.577Z] 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. [2026-04-15T14:13:33.577Z] The best model improves the baseline by 14.52%. [2026-04-15T14:13:33.577Z] Top recommended movies for user id 72: [2026-04-15T14:13:33.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:13:33.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:13:33.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:13:33.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:13:33.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:13:33.577Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13691.497 ms) ====== [2026-04-15T14:13:33.577Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-15T14:13:33.577Z] GC before operation: completed in 205.898 ms, heap usage 374.201 MB -> 93.703 MB. [2026-04-15T14:13:35.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:13:38.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:13:41.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:13:41.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:13:43.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:13:44.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:13:46.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:13:48.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:13:48.478Z] 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. [2026-04-15T14:13:48.478Z] The best model improves the baseline by 14.52%. [2026-04-15T14:13:48.478Z] Top recommended movies for user id 72: [2026-04-15T14:13:48.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:13:48.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:13:48.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:13:48.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:13:48.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:13:48.478Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14465.003 ms) ====== [2026-04-15T14:13:48.478Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-15T14:13:48.478Z] GC before operation: completed in 120.884 ms, heap usage 692.579 MB -> 99.813 MB. [2026-04-15T14:13:50.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:13:53.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:13:55.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:13:57.350Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:13:58.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:13:59.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:14:01.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:14:02.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:14:02.159Z] 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. [2026-04-15T14:14:02.159Z] The best model improves the baseline by 14.52%. [2026-04-15T14:14:02.159Z] Top recommended movies for user id 72: [2026-04-15T14:14:02.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:14:02.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:14:02.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:14:02.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:14:02.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:14:02.159Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14177.718 ms) ====== [2026-04-15T14:14:02.159Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-15T14:14:02.159Z] GC before operation: completed in 123.774 ms, heap usage 498.609 MB -> 94.151 MB. [2026-04-15T14:14:05.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:14:07.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:14:09.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:14:11.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:14:11.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:14:13.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:14:14.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:14:15.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:14:16.774Z] 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. [2026-04-15T14:14:16.774Z] The best model improves the baseline by 14.52%. [2026-04-15T14:14:16.774Z] Top recommended movies for user id 72: [2026-04-15T14:14:16.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:14:16.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:14:16.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:14:16.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:14:16.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:14:16.774Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14077.598 ms) ====== [2026-04-15T14:14:16.774Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-15T14:14:16.774Z] GC before operation: completed in 118.454 ms, heap usage 306.483 MB -> 96.177 MB. [2026-04-15T14:14:18.724Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:14:20.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:14:23.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:14:25.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:14:26.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:14:27.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:14:29.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:14:30.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:14:30.463Z] 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. [2026-04-15T14:14:30.463Z] The best model improves the baseline by 14.52%. [2026-04-15T14:14:30.463Z] Top recommended movies for user id 72: [2026-04-15T14:14:30.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:14:30.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:14:30.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:14:30.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:14:30.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:14:30.463Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14001.838 ms) ====== [2026-04-15T14:14:30.463Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-15T14:14:30.463Z] GC before operation: completed in 118.398 ms, heap usage 116.311 MB -> 96.629 MB. [2026-04-15T14:14:33.475Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:14:36.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:14:37.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:14:39.049Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:14:41.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:14:41.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:14:42.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:14:43.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:14:44.800Z] 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. [2026-04-15T14:14:44.800Z] The best model improves the baseline by 14.52%. [2026-04-15T14:14:44.800Z] Top recommended movies for user id 72: [2026-04-15T14:14:44.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:14:44.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:14:44.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:14:44.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:14:44.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:14:44.800Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13686.709 ms) ====== [2026-04-15T14:14:44.800Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-15T14:14:44.800Z] GC before operation: completed in 123.342 ms, heap usage 295.557 MB -> 95.028 MB. [2026-04-15T14:14:46.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T14:14:48.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T14:14:50.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T14:14:52.602Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T14:14:53.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T14:14:55.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T14:14:56.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T14:14:57.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T14:14:58.356Z] 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. [2026-04-15T14:14:58.356Z] The best model improves the baseline by 14.52%. [2026-04-15T14:14:58.356Z] Top recommended movies for user id 72: [2026-04-15T14:14:58.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T14:14:58.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T14:14:58.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T14:14:58.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T14:14:58.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T14:14:58.356Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13522.306 ms) ====== [2026-04-15T14:14:58.356Z] ----------------------------------- [2026-04-15T14:14:58.356Z] renaissance-movie-lens_0_PASSED [2026-04-15T14:14:58.356Z] ----------------------------------- [2026-04-15T14:14:58.356Z] [2026-04-15T14:14:58.356Z] TEST TEARDOWN: [2026-04-15T14:14:58.356Z] Nothing to be done for teardown. [2026-04-15T14:14:58.356Z] renaissance-movie-lens_0 Finish Time: Wed Apr 15 14:14:58 2026 Epoch Time (ms): 1776262498227