[2026-04-01T21:47:41.700Z] Running test renaissance-movie-lens_0 ... [2026-04-01T21:47:41.700Z] =============================================== [2026-04-01T21:47:41.700Z] renaissance-movie-lens_0 Start Time: Wed Apr 1 21:47:40 2026 Epoch Time (ms): 1775080060685 [2026-04-01T21:47:41.700Z] variation: NoOptions [2026-04-01T21:47:41.700Z] JVM_OPTIONS: [2026-04-01T21:47:41.700Z] { \ [2026-04-01T21:47:41.700Z] echo ""; echo "TEST SETUP:"; \ [2026-04-01T21:47:41.700Z] echo "Nothing to be done for setup."; \ [2026-04-01T21:47:41.700Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17750792164262/renaissance-movie-lens_0"; \ [2026-04-01T21:47:41.700Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17750792164262/renaissance-movie-lens_0"; \ [2026-04-01T21:47:41.700Z] echo ""; echo "TESTING:"; \ [2026-04-01T21:47:41.700Z] "/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_17750792164262/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-01T21:47:41.700Z] 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_17750792164262/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-01T21:47:41.700Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-01T21:47:41.700Z] echo "Nothing to be done for teardown."; \ [2026-04-01T21:47:41.700Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17750792164262/TestTargetResult"; [2026-04-01T21:47:41.700Z] [2026-04-01T21:47:41.700Z] TEST SETUP: [2026-04-01T21:47:41.700Z] Nothing to be done for setup. [2026-04-01T21:47:41.700Z] [2026-04-01T21:47:41.700Z] TESTING: [2026-04-01T21:47:47.064Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-01T21:47:52.425Z] 21:47:51.846 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. [2026-04-01T21:47:54.390Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-01T21:47:54.390Z] Training: 60056, validation: 20285, test: 19854 [2026-04-01T21:47:54.390Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-01T21:47:55.341Z] GC before operation: completed in 139.787 ms, heap usage 350.921 MB -> 75.796 MB. [2026-04-01T21:47:59.582Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:48:02.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:48:05.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:48:08.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:48:11.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:48:12.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:48:13.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:48:15.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:48:15.507Z] 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. [2026-04-01T21:48:15.507Z] The best model improves the baseline by 14.52%. [2026-04-01T21:48:16.457Z] Top recommended movies for user id 72: [2026-04-01T21:48:16.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:48:16.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:48:16.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:48:16.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:48:16.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:48:16.457Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21162.036 ms) ====== [2026-04-01T21:48:16.457Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-01T21:48:16.457Z] GC before operation: completed in 123.973 ms, heap usage 227.111 MB -> 90.075 MB. [2026-04-01T21:48:18.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:48:21.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:48:23.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:48:26.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:48:27.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:48:29.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:48:31.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:48:32.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:48:32.334Z] 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. [2026-04-01T21:48:32.334Z] The best model improves the baseline by 14.52%. [2026-04-01T21:48:32.334Z] Top recommended movies for user id 72: [2026-04-01T21:48:32.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:48:32.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:48:32.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:48:32.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:48:32.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:48:32.334Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16507.263 ms) ====== [2026-04-01T21:48:32.334Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-01T21:48:34.333Z] GC before operation: completed in 111.892 ms, heap usage 212.098 MB -> 92.246 MB. [2026-04-01T21:48:35.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:48:37.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:48:40.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:48:42.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:48:43.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:48:45.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:48:46.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:48:48.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:48:48.191Z] 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. [2026-04-01T21:48:48.191Z] The best model improves the baseline by 14.52%. [2026-04-01T21:48:48.191Z] Top recommended movies for user id 72: [2026-04-01T21:48:48.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:48:48.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:48:48.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:48:48.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:48:48.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:48:48.192Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15385.302 ms) ====== [2026-04-01T21:48:48.192Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-01T21:48:48.192Z] GC before operation: completed in 166.259 ms, heap usage 361.879 MB -> 89.589 MB. [2026-04-01T21:48:51.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:48:53.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:48:55.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:48:57.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:48:59.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:49:00.026Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:49:02.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:49:03.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:49:03.955Z] 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. [2026-04-01T21:49:03.955Z] The best model improves the baseline by 14.52%. [2026-04-01T21:49:03.955Z] Top recommended movies for user id 72: [2026-04-01T21:49:03.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:49:03.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:49:03.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:49:03.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:49:03.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:49:03.955Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15022.717 ms) ====== [2026-04-01T21:49:03.955Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-01T21:49:03.955Z] GC before operation: completed in 117.855 ms, heap usage 425.533 MB -> 89.999 MB. [2026-04-01T21:49:05.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:49:07.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:49:09.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:49:12.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:49:13.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:49:14.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:49:16.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:49:17.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:49:17.664Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-01T21:49:17.664Z] The best model improves the baseline by 14.52%. [2026-04-01T21:49:17.664Z] Top recommended movies for user id 72: [2026-04-01T21:49:17.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:49:17.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:49:17.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:49:17.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:49:17.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:49:17.664Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14538.043 ms) ====== [2026-04-01T21:49:17.664Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-01T21:49:18.614Z] GC before operation: completed in 119.322 ms, heap usage 264.661 MB -> 89.696 MB. [2026-04-01T21:49:20.563Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:49:22.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:49:24.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:49:26.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:49:28.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:49:29.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:49:31.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:49:32.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:49:32.293Z] 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. [2026-04-01T21:49:32.293Z] The best model improves the baseline by 14.52%. [2026-04-01T21:49:32.293Z] Top recommended movies for user id 72: [2026-04-01T21:49:32.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:49:32.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:49:32.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:49:32.293Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:49:32.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:49:32.293Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14321.536 ms) ====== [2026-04-01T21:49:32.293Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-01T21:49:32.293Z] GC before operation: completed in 113.993 ms, heap usage 130.449 MB -> 93.170 MB. [2026-04-01T21:49:35.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:49:37.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:49:39.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:49:42.224Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:49:43.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:49:44.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:49:46.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:49:47.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:49:47.034Z] 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. [2026-04-01T21:49:47.034Z] The best model improves the baseline by 14.52%. [2026-04-01T21:49:48.001Z] Top recommended movies for user id 72: [2026-04-01T21:49:48.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:49:48.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:49:48.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:49:48.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:49:48.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:49:48.001Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14969.920 ms) ====== [2026-04-01T21:49:48.001Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-01T21:49:48.001Z] GC before operation: completed in 111.965 ms, heap usage 649.545 MB -> 93.823 MB. [2026-04-01T21:49:49.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:49:51.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:49:53.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:49:56.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:49:57.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:49:58.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:50:00.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:50:01.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:50:01.413Z] 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. [2026-04-01T21:50:02.362Z] The best model improves the baseline by 14.52%. [2026-04-01T21:50:02.362Z] Top recommended movies for user id 72: [2026-04-01T21:50:02.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:50:02.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:50:02.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:50:02.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:50:02.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:50:02.362Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14315.966 ms) ====== [2026-04-01T21:50:02.362Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-01T21:50:02.362Z] GC before operation: completed in 113.063 ms, heap usage 698.425 MB -> 94.072 MB. [2026-04-01T21:50:04.320Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:50:06.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:50:08.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:50:10.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:50:12.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:50:13.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:50:14.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:50:16.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:50:16.019Z] 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. [2026-04-01T21:50:16.019Z] The best model improves the baseline by 14.52%. [2026-04-01T21:50:16.019Z] Top recommended movies for user id 72: [2026-04-01T21:50:16.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:50:16.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:50:16.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:50:16.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:50:16.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:50:16.019Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13930.851 ms) ====== [2026-04-01T21:50:16.019Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-01T21:50:16.019Z] GC before operation: completed in 135.928 ms, heap usage 304.220 MB -> 93.549 MB. [2026-04-01T21:50:17.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:50:20.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:50:23.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:50:24.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:50:25.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:50:26.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:50:28.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:50:29.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:50:30.727Z] 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. [2026-04-01T21:50:30.727Z] The best model improves the baseline by 14.52%. [2026-04-01T21:50:30.727Z] Top recommended movies for user id 72: [2026-04-01T21:50:30.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:50:30.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:50:30.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:50:30.727Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:50:30.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:50:30.727Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14295.149 ms) ====== [2026-04-01T21:50:30.727Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-01T21:50:30.727Z] GC before operation: completed in 128.585 ms, heap usage 742.446 MB -> 94.129 MB. [2026-04-01T21:50:32.744Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:50:34.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:50:37.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:50:39.672Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:50:40.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:50:41.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:50:44.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:50:44.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:50:45.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-01T21:50:45.349Z] The best model improves the baseline by 14.52%. [2026-04-01T21:50:45.349Z] Top recommended movies for user id 72: [2026-04-01T21:50:45.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:50:45.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:50:45.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:50:45.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:50:45.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:50:45.349Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14530.608 ms) ====== [2026-04-01T21:50:45.349Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-01T21:50:45.349Z] GC before operation: completed in 108.220 ms, heap usage 387.533 MB -> 92.484 MB. [2026-04-01T21:50:48.367Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:50:50.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:50:52.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:50:54.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:50:56.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:50:57.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:50:58.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:51:00.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:51:00.080Z] 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. [2026-04-01T21:51:00.080Z] The best model improves the baseline by 14.52%. [2026-04-01T21:51:00.080Z] Top recommended movies for user id 72: [2026-04-01T21:51:00.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:51:00.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:51:00.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:51:00.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:51:00.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:51:00.080Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14952.734 ms) ====== [2026-04-01T21:51:00.080Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-01T21:51:00.080Z] GC before operation: completed in 121.140 ms, heap usage 739.538 MB -> 94.088 MB. [2026-04-01T21:51:03.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:51:05.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:51:07.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:51:09.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:51:09.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:51:11.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:51:12.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:51:15.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:51:16.030Z] 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. [2026-04-01T21:51:16.030Z] The best model improves the baseline by 14.52%. [2026-04-01T21:51:16.030Z] Top recommended movies for user id 72: [2026-04-01T21:51:16.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:51:16.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:51:16.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:51:16.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:51:16.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:51:16.030Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14543.615 ms) ====== [2026-04-01T21:51:16.030Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-01T21:51:16.030Z] GC before operation: completed in 129.006 ms, heap usage 312.060 MB -> 96.085 MB. [2026-04-01T21:51:16.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:51:20.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:51:21.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:51:23.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:51:24.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:51:25.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:51:27.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:51:28.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:51:29.751Z] 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. [2026-04-01T21:51:29.751Z] The best model improves the baseline by 14.52%. [2026-04-01T21:51:29.751Z] Top recommended movies for user id 72: [2026-04-01T21:51:29.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:51:29.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:51:29.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:51:29.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:51:29.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:51:29.751Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14439.641 ms) ====== [2026-04-01T21:51:29.751Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-01T21:51:29.751Z] GC before operation: completed in 200.429 ms, heap usage 454.029 MB -> 92.759 MB. [2026-04-01T21:51:32.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:51:34.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:51:36.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:51:38.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:51:39.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:51:41.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:51:42.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:51:43.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:51:44.398Z] 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. [2026-04-01T21:51:44.398Z] The best model improves the baseline by 14.52%. [2026-04-01T21:51:44.398Z] Top recommended movies for user id 72: [2026-04-01T21:51:44.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:51:44.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:51:44.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:51:44.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:51:44.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:51:44.398Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14529.529 ms) ====== [2026-04-01T21:51:44.398Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-01T21:51:44.398Z] GC before operation: completed in 162.081 ms, heap usage 130.217 MB -> 91.767 MB. [2026-04-01T21:51:46.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:51:48.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:51:50.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:51:52.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:51:53.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:51:55.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:51:56.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:51:57.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:51:57.995Z] 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. [2026-04-01T21:51:57.995Z] The best model improves the baseline by 14.52%. [2026-04-01T21:51:57.995Z] Top recommended movies for user id 72: [2026-04-01T21:51:57.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:51:57.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:51:57.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:51:57.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:51:57.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:51:57.995Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13396.397 ms) ====== [2026-04-01T21:51:57.995Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-01T21:51:57.995Z] GC before operation: completed in 132.329 ms, heap usage 783.364 MB -> 94.162 MB. [2026-04-01T21:51:59.950Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:52:01.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:52:03.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:52:05.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:52:08.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:52:08.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:52:09.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:52:11.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:52:11.733Z] 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. [2026-04-01T21:52:11.733Z] The best model improves the baseline by 14.52%. [2026-04-01T21:52:11.733Z] Top recommended movies for user id 72: [2026-04-01T21:52:11.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:52:11.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:52:11.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:52:11.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:52:11.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:52:11.733Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13850.451 ms) ====== [2026-04-01T21:52:11.733Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-01T21:52:11.733Z] GC before operation: completed in 120.984 ms, heap usage 386.999 MB -> 92.765 MB. [2026-04-01T21:52:14.875Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:52:17.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:52:18.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:52:20.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:52:22.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:52:23.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:52:24.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:52:26.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:52:26.553Z] 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. [2026-04-01T21:52:26.553Z] The best model improves the baseline by 14.52%. [2026-04-01T21:52:26.553Z] Top recommended movies for user id 72: [2026-04-01T21:52:26.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:52:26.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:52:26.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:52:26.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:52:26.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:52:26.553Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14668.968 ms) ====== [2026-04-01T21:52:26.553Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-01T21:52:26.553Z] GC before operation: completed in 134.543 ms, heap usage 135.583 MB -> 94.623 MB. [2026-04-01T21:52:28.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:52:30.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:52:32.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:52:34.913Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:52:35.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:52:37.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:52:38.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:52:39.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:52:40.664Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-01T21:52:40.664Z] The best model improves the baseline by 14.52%. [2026-04-01T21:52:40.664Z] Top recommended movies for user id 72: [2026-04-01T21:52:40.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:52:40.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:52:40.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:52:40.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:52:40.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:52:40.664Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13731.143 ms) ====== [2026-04-01T21:52:40.664Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-01T21:52:40.664Z] GC before operation: completed in 145.160 ms, heap usage 443.097 MB -> 90.507 MB. [2026-04-01T21:52:42.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:52:44.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:52:46.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:52:48.520Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:52:49.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:52:51.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:52:52.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:52:53.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:52:54.298Z] 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. [2026-04-01T21:52:54.298Z] The best model improves the baseline by 14.52%. [2026-04-01T21:52:54.298Z] Top recommended movies for user id 72: [2026-04-01T21:52:54.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:52:54.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:52:54.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:52:54.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:52:54.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:52:54.298Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13694.762 ms) ====== [2026-04-01T21:52:54.298Z] ----------------------------------- [2026-04-01T21:52:54.298Z] renaissance-movie-lens_0_PASSED [2026-04-01T21:52:54.298Z] ----------------------------------- [2026-04-01T21:52:54.298Z] [2026-04-01T21:52:54.298Z] TEST TEARDOWN: [2026-04-01T21:52:54.298Z] Nothing to be done for teardown. [2026-04-01T21:52:54.298Z] renaissance-movie-lens_0 Finish Time: Wed Apr 1 21:52:54 2026 Epoch Time (ms): 1775080374204