[2026-01-24T13:24:51.251Z] Running test renaissance-movie-lens_0 ... [2026-01-24T13:24:51.251Z] =============================================== [2026-01-24T13:24:51.251Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 13:24:50 2026 Epoch Time (ms): 1769261090272 [2026-01-24T13:24:51.251Z] variation: NoOptions [2026-01-24T13:24:51.251Z] JVM_OPTIONS: [2026-01-24T13:24:51.251Z] { \ [2026-01-24T13:24:51.251Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T13:24:51.251Z] echo "Nothing to be done for setup."; \ [2026-01-24T13:24:51.251Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692602871881/renaissance-movie-lens_0"; \ [2026-01-24T13:24:51.251Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692602871881/renaissance-movie-lens_0"; \ [2026-01-24T13:24:51.251Z] echo ""; echo "TESTING:"; \ [2026-01-24T13:24:51.251Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692602871881/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T13:24:51.251Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692602871881/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T13:24:51.251Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T13:24:51.251Z] echo "Nothing to be done for teardown."; \ [2026-01-24T13:24:51.251Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692602871881/TestTargetResult"; [2026-01-24T13:24:51.251Z] [2026-01-24T13:24:51.251Z] TEST SETUP: [2026-01-24T13:24:51.251Z] Nothing to be done for setup. [2026-01-24T13:24:51.251Z] [2026-01-24T13:24:51.251Z] TESTING: [2026-01-24T13:24:51.251Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T13:24:51.251Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17692602871881/renaissance-movie-lens_0/launcher-132450-17024522732219304398/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T13:24:51.251Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T13:24:51.251Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T13:24:56.721Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T13:25:02.941Z] 13:25:02.322 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T13:25:04.934Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T13:25:05.907Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T13:25:05.907Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T13:25:05.907Z] GC before operation: completed in 147.526 ms, heap usage 166.661 MB -> 75.610 MB. [2026-01-24T13:25:11.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:25:14.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:25:17.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:25:20.589Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:25:22.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:25:23.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:25:25.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:25:27.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:25:27.538Z] 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. [2026-01-24T13:25:27.538Z] The best model improves the baseline by 14.52%. [2026-01-24T13:25:27.538Z] Top recommended movies for user id 72: [2026-01-24T13:25:27.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:25:27.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:25:27.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:25:27.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:25:27.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:25:27.538Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22350.205 ms) ====== [2026-01-24T13:25:27.538Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T13:25:28.515Z] GC before operation: completed in 168.504 ms, heap usage 315.476 MB -> 93.453 MB. [2026-01-24T13:25:30.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:25:33.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:25:36.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:25:38.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:25:40.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:25:41.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:25:43.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:25:44.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:25:45.588Z] 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. [2026-01-24T13:25:45.588Z] The best model improves the baseline by 14.52%. [2026-01-24T13:25:45.588Z] Top recommended movies for user id 72: [2026-01-24T13:25:45.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:25:45.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:25:45.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:25:45.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:25:45.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:25:45.588Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17453.840 ms) ====== [2026-01-24T13:25:45.588Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T13:25:45.588Z] GC before operation: completed in 146.684 ms, heap usage 126.737 MB -> 88.362 MB. [2026-01-24T13:25:48.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:25:51.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:25:53.712Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:25:55.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:25:57.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:25:58.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:00.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:01.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:02.590Z] 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. [2026-01-24T13:26:02.590Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:02.590Z] Top recommended movies for user id 72: [2026-01-24T13:26:02.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:02.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:02.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:02.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:02.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:02.590Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16940.534 ms) ====== [2026-01-24T13:26:02.590Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T13:26:02.590Z] GC before operation: completed in 135.085 ms, heap usage 159.027 MB -> 89.006 MB. [2026-01-24T13:26:05.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:07.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:09.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:12.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:13.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:15.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:17.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:18.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:18.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T13:26:18.639Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:19.609Z] Top recommended movies for user id 72: [2026-01-24T13:26:19.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:19.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:19.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:19.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:19.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:19.609Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16423.944 ms) ====== [2026-01-24T13:26:19.609Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T13:26:19.609Z] GC before operation: completed in 159.117 ms, heap usage 425.565 MB -> 89.782 MB. [2026-01-24T13:26:21.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:23.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:26.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:28.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:30.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:31.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:32.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:34.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:34.761Z] 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. [2026-01-24T13:26:34.761Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:34.761Z] Top recommended movies for user id 72: [2026-01-24T13:26:34.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:34.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:34.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:34.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:34.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:34.761Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15506.104 ms) ====== [2026-01-24T13:26:34.761Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T13:26:34.761Z] GC before operation: completed in 136.459 ms, heap usage 265.707 MB -> 89.482 MB. [2026-01-24T13:26:37.823Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:39.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:41.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:44.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:26:46.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:26:47.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:26:48.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:26:49.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:26:50.527Z] 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. [2026-01-24T13:26:50.527Z] The best model improves the baseline by 14.52%. [2026-01-24T13:26:50.527Z] Top recommended movies for user id 72: [2026-01-24T13:26:50.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:26:50.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:26:50.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:26:50.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:26:50.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:26:50.527Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15521.156 ms) ====== [2026-01-24T13:26:50.527Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T13:26:50.527Z] GC before operation: completed in 129.399 ms, heap usage 292.601 MB -> 89.965 MB. [2026-01-24T13:26:52.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:26:55.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:26:57.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:26:59.578Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:01.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:02.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:04.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:05.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:05.528Z] 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. [2026-01-24T13:27:05.528Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:06.499Z] Top recommended movies for user id 72: [2026-01-24T13:27:06.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:06.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:06.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:06.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:06.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:06.500Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15325.732 ms) ====== [2026-01-24T13:27:06.500Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T13:27:06.500Z] GC before operation: completed in 135.194 ms, heap usage 297.495 MB -> 89.886 MB. [2026-01-24T13:27:08.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:10.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:12.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:15.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:16.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:17.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:19.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:20.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:21.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T13:27:21.392Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:21.392Z] Top recommended movies for user id 72: [2026-01-24T13:27:21.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:21.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:21.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:21.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:21.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:21.392Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15092.758 ms) ====== [2026-01-24T13:27:21.392Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T13:27:21.392Z] GC before operation: completed in 142.739 ms, heap usage 101.661 MB -> 89.753 MB. [2026-01-24T13:27:23.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:25.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:28.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:30.419Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:32.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:33.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:34.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:36.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:36.558Z] 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. [2026-01-24T13:27:36.558Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:36.558Z] Top recommended movies for user id 72: [2026-01-24T13:27:36.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:36.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:36.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:36.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:36.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:36.558Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15408.176 ms) ====== [2026-01-24T13:27:36.558Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T13:27:36.558Z] GC before operation: completed in 139.984 ms, heap usage 292.292 MB -> 89.951 MB. [2026-01-24T13:27:39.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:41.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:43.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:27:45.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:27:47.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:27:48.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:27:50.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:27:51.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:27:51.560Z] 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. [2026-01-24T13:27:51.560Z] The best model improves the baseline by 14.52%. [2026-01-24T13:27:52.528Z] Top recommended movies for user id 72: [2026-01-24T13:27:52.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:27:52.529Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:27:52.529Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:27:52.529Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:27:52.529Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:27:52.529Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15216.157 ms) ====== [2026-01-24T13:27:52.529Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T13:27:52.529Z] GC before operation: completed in 135.070 ms, heap usage 370.862 MB -> 90.241 MB. [2026-01-24T13:27:54.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:27:56.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:27:58.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:00.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:01.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:03.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:04.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:06.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:06.421Z] 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. [2026-01-24T13:28:06.421Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:06.421Z] Top recommended movies for user id 72: [2026-01-24T13:28:06.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:06.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:06.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:06.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:06.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:06.421Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14346.080 ms) ====== [2026-01-24T13:28:06.421Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T13:28:06.421Z] GC before operation: completed in 125.939 ms, heap usage 347.581 MB -> 89.920 MB. [2026-01-24T13:28:09.489Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:11.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:13.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:15.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:17.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:18.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:20.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:21.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:21.374Z] 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. [2026-01-24T13:28:21.374Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:21.374Z] Top recommended movies for user id 72: [2026-01-24T13:28:21.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:21.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:21.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:21.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:21.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:21.374Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14963.368 ms) ====== [2026-01-24T13:28:21.374Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T13:28:22.344Z] GC before operation: completed in 129.478 ms, heap usage 118.906 MB -> 89.877 MB. [2026-01-24T13:28:24.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:26.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:29.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:30.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:31.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:33.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:34.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:36.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:36.941Z] 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. [2026-01-24T13:28:36.941Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:36.941Z] Top recommended movies for user id 72: [2026-01-24T13:28:36.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:36.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:36.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:36.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:36.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:36.941Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15195.499 ms) ====== [2026-01-24T13:28:36.941Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T13:28:36.941Z] GC before operation: completed in 143.573 ms, heap usage 385.391 MB -> 90.273 MB. [2026-01-24T13:28:40.008Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:41.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:43.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:28:46.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:28:48.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:28:49.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:28:51.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:28:51.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:28:51.980Z] 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. [2026-01-24T13:28:51.980Z] The best model improves the baseline by 14.52%. [2026-01-24T13:28:52.948Z] Top recommended movies for user id 72: [2026-01-24T13:28:52.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:28:52.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:28:52.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:28:52.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:28:52.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:28:52.948Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15279.641 ms) ====== [2026-01-24T13:28:52.948Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T13:28:52.948Z] GC before operation: completed in 140.252 ms, heap usage 194.634 MB -> 89.869 MB. [2026-01-24T13:28:54.935Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:28:56.922Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:28:58.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:00.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:02.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:03.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:05.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:06.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:06.807Z] 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. [2026-01-24T13:29:06.807Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:07.779Z] Top recommended movies for user id 72: [2026-01-24T13:29:07.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:07.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:07.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:07.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:07.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:07.779Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14779.346 ms) ====== [2026-01-24T13:29:07.779Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T13:29:07.779Z] GC before operation: completed in 137.152 ms, heap usage 117.867 MB -> 90.047 MB. [2026-01-24T13:29:09.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:11.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:14.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:16.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:17.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:19.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:21.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:22.459Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:22.459Z] 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. [2026-01-24T13:29:22.459Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:23.428Z] Top recommended movies for user id 72: [2026-01-24T13:29:23.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:23.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:23.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:23.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:23.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:23.428Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15481.755 ms) ====== [2026-01-24T13:29:23.428Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T13:29:23.428Z] GC before operation: completed in 133.469 ms, heap usage 367.493 MB -> 90.159 MB. [2026-01-24T13:29:25.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:27.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:29.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:31.388Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:33.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:34.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:35.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:37.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:37.311Z] 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. [2026-01-24T13:29:37.311Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:37.311Z] Top recommended movies for user id 72: [2026-01-24T13:29:37.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:37.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:37.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:37.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:37.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:37.311Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14594.386 ms) ====== [2026-01-24T13:29:37.311Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T13:29:38.280Z] GC before operation: completed in 143.502 ms, heap usage 100.078 MB -> 89.882 MB. [2026-01-24T13:29:40.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:42.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:29:45.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:29:47.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:29:49.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:29:50.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:29:52.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:29:53.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:29:53.367Z] 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. [2026-01-24T13:29:53.367Z] The best model improves the baseline by 14.52%. [2026-01-24T13:29:54.337Z] Top recommended movies for user id 72: [2026-01-24T13:29:54.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:29:54.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:29:54.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:29:54.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:29:54.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:29:54.337Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16094.315 ms) ====== [2026-01-24T13:29:54.337Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T13:29:54.337Z] GC before operation: completed in 157.925 ms, heap usage 126.884 MB -> 89.821 MB. [2026-01-24T13:29:56.329Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:29:58.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:30:01.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:30:03.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:30:04.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:30:06.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:30:07.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:30:08.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:30:10.327Z] 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. [2026-01-24T13:30:10.327Z] The best model improves the baseline by 14.52%. [2026-01-24T13:30:10.327Z] Top recommended movies for user id 72: [2026-01-24T13:30:10.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:30:10.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:30:10.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:30:10.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:30:10.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:30:10.327Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15259.404 ms) ====== [2026-01-24T13:30:10.327Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T13:30:10.327Z] GC before operation: completed in 133.692 ms, heap usage 130.430 MB -> 89.906 MB. [2026-01-24T13:30:11.298Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:30:14.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:30:16.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:30:18.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:30:19.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:30:21.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:30:22.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:30:24.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:30:24.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T13:30:24.297Z] The best model improves the baseline by 14.52%. [2026-01-24T13:30:24.297Z] Top recommended movies for user id 72: [2026-01-24T13:30:24.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:30:24.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:30:24.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:30:24.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:30:24.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:30:24.297Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14761.590 ms) ====== [2026-01-24T13:30:25.267Z] ----------------------------------- [2026-01-24T13:30:25.267Z] renaissance-movie-lens_0_PASSED [2026-01-24T13:30:25.267Z] ----------------------------------- [2026-01-24T13:30:25.267Z] [2026-01-24T13:30:25.267Z] TEST TEARDOWN: [2026-01-24T13:30:25.267Z] Nothing to be done for teardown. [2026-01-24T13:30:25.267Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 13:30:24 2026 Epoch Time (ms): 1769261424308