[2026-02-26T15:36:59.802Z] Running test renaissance-movie-lens_0 ... [2026-02-26T15:36:59.802Z] =============================================== [2026-02-26T15:36:59.802Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 15:36:59 2026 Epoch Time (ms): 1772120219344 [2026-02-26T15:36:59.802Z] variation: NoOptions [2026-02-26T15:36:59.802Z] JVM_OPTIONS: [2026-02-26T15:36:59.802Z] { \ [2026-02-26T15:36:59.802Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T15:36:59.802Z] echo "Nothing to be done for setup."; \ [2026-02-26T15:36:59.802Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721184767070/renaissance-movie-lens_0"; \ [2026-02-26T15:36:59.802Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721184767070/renaissance-movie-lens_0"; \ [2026-02-26T15:36:59.802Z] echo ""; echo "TESTING:"; \ [2026-02-26T15:36:59.802Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721184767070/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T15:36:59.802Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721184767070/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T15:36:59.802Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T15:36:59.802Z] echo "Nothing to be done for teardown."; \ [2026-02-26T15:36:59.802Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17721184767070/TestTargetResult"; [2026-02-26T15:36:59.802Z] [2026-02-26T15:36:59.802Z] TEST SETUP: [2026-02-26T15:36:59.802Z] Nothing to be done for setup. [2026-02-26T15:36:59.802Z] [2026-02-26T15:36:59.802Z] TESTING: [2026-02-26T15:37:28.666Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T15:37:42.309Z] 15:37:41.693 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. [2026-02-26T15:37:46.535Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T15:37:48.523Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T15:37:48.523Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T15:37:48.523Z] GC before operation: completed in 237.979 ms, heap usage 278.975 MB -> 75.994 MB. [2026-02-26T15:38:02.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:38:12.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:38:20.387Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:38:27.194Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:38:31.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:38:34.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:38:38.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:38:43.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:38:43.215Z] 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. [2026-02-26T15:38:44.177Z] The best model improves the baseline by 14.52%. [2026-02-26T15:38:44.177Z] Top recommended movies for user id 72: [2026-02-26T15:38:44.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:38:44.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:38:44.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:38:44.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:38:44.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:38:44.177Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (56009.795 ms) ====== [2026-02-26T15:38:44.177Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T15:38:44.177Z] GC before operation: completed in 269.462 ms, heap usage 389.893 MB -> 86.829 MB. [2026-02-26T15:38:50.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:38:56.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:39:04.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:39:07.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:39:10.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:39:13.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:39:16.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:39:20.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:39:20.908Z] 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. [2026-02-26T15:39:20.908Z] The best model improves the baseline by 14.52%. [2026-02-26T15:39:20.908Z] Top recommended movies for user id 72: [2026-02-26T15:39:20.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:39:20.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:39:20.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:39:20.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:39:20.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:39:20.908Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36694.179 ms) ====== [2026-02-26T15:39:20.908Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T15:39:21.875Z] GC before operation: completed in 292.172 ms, heap usage 169.575 MB -> 88.716 MB. [2026-02-26T15:39:27.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:39:31.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:39:37.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:39:40.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:39:43.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:39:45.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:39:48.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:39:52.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:39:52.005Z] 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. [2026-02-26T15:39:52.005Z] The best model improves the baseline by 14.52%. [2026-02-26T15:39:52.005Z] Top recommended movies for user id 72: [2026-02-26T15:39:52.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:39:52.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:39:52.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:39:52.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:39:52.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:39:52.005Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30556.320 ms) ====== [2026-02-26T15:39:52.005Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T15:39:52.005Z] GC before operation: completed in 280.805 ms, heap usage 456.468 MB -> 89.621 MB. [2026-02-26T15:39:57.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:40:01.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:40:05.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:40:10.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:40:13.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:40:16.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:40:21.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:40:22.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:40:22.525Z] 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. [2026-02-26T15:40:22.525Z] The best model improves the baseline by 14.52%. [2026-02-26T15:40:22.525Z] Top recommended movies for user id 72: [2026-02-26T15:40:22.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:40:22.525Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:40:22.525Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:40:22.525Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:40:22.525Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:40:22.525Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30480.346 ms) ====== [2026-02-26T15:40:22.525Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T15:40:23.494Z] GC before operation: completed in 252.275 ms, heap usage 305.413 MB -> 89.794 MB. [2026-02-26T15:40:27.747Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:40:36.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:40:37.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:40:43.402Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:40:44.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:40:51.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:40:51.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:40:52.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:40:53.855Z] 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. [2026-02-26T15:40:53.855Z] The best model improves the baseline by 14.52%. [2026-02-26T15:40:53.855Z] Top recommended movies for user id 72: [2026-02-26T15:40:53.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:40:53.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:40:53.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:40:53.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:40:53.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:40:53.855Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30552.439 ms) ====== [2026-02-26T15:40:53.855Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T15:40:53.855Z] GC before operation: completed in 255.885 ms, heap usage 122.080 MB -> 91.873 MB. [2026-02-26T15:40:59.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:41:03.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:41:08.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:41:12.487Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:41:15.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:41:17.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:41:20.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:41:22.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:41:22.734Z] 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. [2026-02-26T15:41:22.734Z] The best model improves the baseline by 14.52%. [2026-02-26T15:41:23.702Z] Top recommended movies for user id 72: [2026-02-26T15:41:23.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:41:23.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:41:23.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:41:23.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:41:23.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:41:23.702Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (29494.392 ms) ====== [2026-02-26T15:41:23.702Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T15:41:23.702Z] GC before operation: completed in 286.273 ms, heap usage 284.227 MB -> 89.992 MB. [2026-02-26T15:41:27.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:41:33.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:41:37.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:41:41.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:41:44.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:41:46.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:41:50.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:41:53.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:41:53.170Z] 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. [2026-02-26T15:41:53.170Z] The best model improves the baseline by 14.52%. [2026-02-26T15:41:53.170Z] Top recommended movies for user id 72: [2026-02-26T15:41:53.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:41:53.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:41:53.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:41:53.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:41:53.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:41:53.170Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29639.596 ms) ====== [2026-02-26T15:41:53.170Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T15:41:53.170Z] GC before operation: completed in 254.763 ms, heap usage 433.288 MB -> 90.468 MB. [2026-02-26T15:41:58.614Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:42:02.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:42:07.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:42:11.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:42:14.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:42:16.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:42:19.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:42:21.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:42:22.464Z] 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. [2026-02-26T15:42:22.464Z] The best model improves the baseline by 14.52%. [2026-02-26T15:42:22.464Z] Top recommended movies for user id 72: [2026-02-26T15:42:22.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:42:22.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:42:22.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:42:22.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:42:22.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:42:22.464Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28916.954 ms) ====== [2026-02-26T15:42:22.464Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T15:42:22.464Z] GC before operation: completed in 227.234 ms, heap usage 196.708 MB -> 90.124 MB. [2026-02-26T15:42:26.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:42:30.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:42:35.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:42:39.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:42:41.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:42:43.360Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:42:46.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:42:48.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:42:49.379Z] 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. [2026-02-26T15:42:49.379Z] The best model improves the baseline by 14.52%. [2026-02-26T15:42:49.379Z] Top recommended movies for user id 72: [2026-02-26T15:42:49.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:42:49.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:42:49.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:42:49.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:42:49.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:42:49.379Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26728.838 ms) ====== [2026-02-26T15:42:49.379Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T15:42:49.379Z] GC before operation: completed in 253.041 ms, heap usage 311.200 MB -> 90.229 MB. [2026-02-26T15:42:53.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:42:59.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:43:03.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:43:07.711Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:43:09.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:43:12.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:43:14.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:43:17.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:43:17.832Z] 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. [2026-02-26T15:43:17.832Z] The best model improves the baseline by 14.52%. [2026-02-26T15:43:17.832Z] Top recommended movies for user id 72: [2026-02-26T15:43:17.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:43:17.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:43:17.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:43:17.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:43:17.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:43:17.832Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28329.154 ms) ====== [2026-02-26T15:43:17.832Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T15:43:18.797Z] GC before operation: completed in 338.914 ms, heap usage 508.352 MB -> 90.622 MB. [2026-02-26T15:43:23.015Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:43:27.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:43:32.224Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:43:35.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:43:38.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:43:40.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:43:43.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:43:46.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:43:46.497Z] 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. [2026-02-26T15:43:46.497Z] The best model improves the baseline by 14.52%. [2026-02-26T15:43:47.504Z] Top recommended movies for user id 72: [2026-02-26T15:43:47.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:43:47.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:43:47.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:43:47.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:43:47.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:43:47.504Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28822.033 ms) ====== [2026-02-26T15:43:47.504Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T15:43:47.504Z] GC before operation: completed in 275.308 ms, heap usage 315.396 MB -> 90.105 MB. [2026-02-26T15:43:53.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:44:00.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:44:04.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:44:10.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:44:14.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:44:17.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:44:22.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:44:26.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:44:26.565Z] 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. [2026-02-26T15:44:26.565Z] The best model improves the baseline by 14.52%. [2026-02-26T15:44:27.562Z] Top recommended movies for user id 72: [2026-02-26T15:44:27.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:44:27.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:44:27.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:44:27.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:44:27.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:44:27.562Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (39646.996 ms) ====== [2026-02-26T15:44:27.562Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T15:44:27.562Z] GC before operation: completed in 218.917 ms, heap usage 163.651 MB -> 90.072 MB. [2026-02-26T15:44:33.179Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:44:39.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:44:45.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:44:51.194Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:44:54.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:44:58.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:45:01.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:45:04.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:45:05.750Z] 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. [2026-02-26T15:45:05.750Z] The best model improves the baseline by 14.52%. [2026-02-26T15:45:05.750Z] Top recommended movies for user id 72: [2026-02-26T15:45:05.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:45:05.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:45:05.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:45:05.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:45:05.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:45:05.750Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (38507.291 ms) ====== [2026-02-26T15:45:05.750Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T15:45:05.750Z] GC before operation: completed in 286.829 ms, heap usage 493.241 MB -> 90.655 MB. [2026-02-26T15:45:12.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:45:16.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:45:22.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:45:26.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:45:31.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:45:33.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:45:37.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:45:40.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:45:41.455Z] 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. [2026-02-26T15:45:41.455Z] The best model improves the baseline by 14.52%. [2026-02-26T15:45:41.455Z] Top recommended movies for user id 72: [2026-02-26T15:45:41.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:45:41.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:45:41.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:45:41.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:45:41.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:45:41.455Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35403.662 ms) ====== [2026-02-26T15:45:41.455Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T15:45:41.455Z] GC before operation: completed in 327.000 ms, heap usage 289.361 MB -> 90.177 MB. [2026-02-26T15:45:48.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:45:53.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:45:58.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:46:03.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:46:07.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:46:10.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:46:14.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:46:18.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:46:18.273Z] 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. [2026-02-26T15:46:19.289Z] The best model improves the baseline by 14.52%. [2026-02-26T15:46:19.289Z] Top recommended movies for user id 72: [2026-02-26T15:46:19.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:46:19.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:46:19.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:46:19.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:46:19.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:46:19.289Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37508.490 ms) ====== [2026-02-26T15:46:19.289Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T15:46:20.269Z] GC before operation: completed in 347.929 ms, heap usage 301.266 MB -> 90.462 MB. [2026-02-26T15:46:25.911Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:46:31.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:46:38.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:46:43.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:46:48.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:46:51.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:46:54.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:46:58.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:46:59.498Z] 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. [2026-02-26T15:46:59.498Z] The best model improves the baseline by 14.52%. [2026-02-26T15:46:59.498Z] Top recommended movies for user id 72: [2026-02-26T15:46:59.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:46:59.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:46:59.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:46:59.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:46:59.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:46:59.498Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (39958.245 ms) ====== [2026-02-26T15:46:59.498Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T15:47:00.485Z] GC before operation: completed in 328.686 ms, heap usage 211.984 MB -> 90.098 MB. [2026-02-26T15:47:06.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:47:11.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:47:15.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:47:18.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:47:22.050Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:47:25.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:47:29.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:47:32.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:47:32.575Z] 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. [2026-02-26T15:47:32.575Z] The best model improves the baseline by 14.52%. [2026-02-26T15:47:32.575Z] Top recommended movies for user id 72: [2026-02-26T15:47:32.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:47:32.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:47:32.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:47:32.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:47:32.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:47:32.575Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (32929.795 ms) ====== [2026-02-26T15:47:32.575Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T15:47:33.558Z] GC before operation: completed in 336.115 ms, heap usage 263.891 MB -> 90.269 MB. [2026-02-26T15:47:39.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:47:44.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:47:50.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:47:57.078Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:48:00.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:48:04.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:48:07.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:48:12.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:48:12.571Z] 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. [2026-02-26T15:48:12.571Z] The best model improves the baseline by 14.52%. [2026-02-26T15:48:13.555Z] Top recommended movies for user id 72: [2026-02-26T15:48:13.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:48:13.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:48:13.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:48:13.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:48:13.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:48:13.555Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (40034.141 ms) ====== [2026-02-26T15:48:13.555Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T15:48:13.555Z] GC before operation: completed in 459.044 ms, heap usage 500.756 MB -> 90.413 MB. [2026-02-26T15:48:20.445Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:48:27.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:48:32.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:48:38.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:48:42.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:48:45.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:48:50.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:48:53.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:48:54.118Z] 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. [2026-02-26T15:48:54.118Z] The best model improves the baseline by 14.52%. [2026-02-26T15:48:55.129Z] Top recommended movies for user id 72: [2026-02-26T15:48:55.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:48:55.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:48:55.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:48:55.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:48:55.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:48:55.129Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (40888.713 ms) ====== [2026-02-26T15:48:55.129Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T15:48:55.129Z] GC before operation: completed in 447.632 ms, heap usage 192.627 MB -> 90.182 MB. [2026-02-26T15:49:01.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:49:07.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:49:14.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:49:21.175Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:49:24.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:49:28.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:49:33.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:49:36.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:49:37.275Z] 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. [2026-02-26T15:49:37.275Z] The best model improves the baseline by 14.52%. [2026-02-26T15:49:37.275Z] Top recommended movies for user id 72: [2026-02-26T15:49:37.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:49:37.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:49:37.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:49:37.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:49:37.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:49:37.275Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42251.381 ms) ====== [2026-02-26T15:49:40.391Z] ----------------------------------- [2026-02-26T15:49:40.391Z] renaissance-movie-lens_0_PASSED [2026-02-26T15:49:40.391Z] ----------------------------------- [2026-02-26T15:49:40.391Z] [2026-02-26T15:49:40.391Z] TEST TEARDOWN: [2026-02-26T15:49:40.391Z] Nothing to be done for teardown. [2026-02-26T15:49:40.391Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 15:49:39 2026 Epoch Time (ms): 1772120979332