Test Results Summary Service

renaissance-movie-lens_0

[2026-01-03T16:29:11.087Z] Running test renaissance-movie-lens_0 ... [2026-01-03T16:29:11.087Z] =============================================== [2026-01-03T16:29:11.087Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 16:29:09 2026 Epoch Time (ms): 1767457749774 [2026-01-03T16:29:11.087Z] variation: NoOptions [2026-01-03T16:29:11.087Z] JVM_OPTIONS: [2026-01-03T16:29:11.087Z] { \ [2026-01-03T16:29:11.087Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T16:29:11.087Z] echo "Nothing to be done for setup."; \ [2026-01-03T16:29:11.087Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17674559469780/renaissance-movie-lens_0"; \ [2026-01-03T16:29:11.087Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17674559469780/renaissance-movie-lens_0"; \ [2026-01-03T16:29:11.087Z] echo ""; echo "TESTING:"; \ [2026-01-03T16:29:11.087Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17674559469780/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T16:29:11.087Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17674559469780/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T16:29:11.087Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T16:29:11.087Z] echo "Nothing to be done for teardown."; \ [2026-01-03T16:29:11.087Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17674559469780/TestTargetResult"; [2026-01-03T16:29:11.087Z] [2026-01-03T16:29:11.087Z] TEST SETUP: [2026-01-03T16:29:11.087Z] Nothing to be done for setup. [2026-01-03T16:29:11.087Z] [2026-01-03T16:29:11.087Z] TESTING: [2026-01-03T16:29:12.276Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T16:29:12.276Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17674559469780/renaissance-movie-lens_0/launcher-162910-2500828842993577920/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T16:29:12.276Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T16:29:12.276Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T16:29:35.430Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T16:30:08.892Z] 16:30:04.015 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. [2026-01-03T16:30:14.867Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T16:30:17.169Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T16:30:17.169Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T16:30:17.506Z] GC before operation: completed in 574.355 ms, heap usage 455.168 MB -> 76.120 MB. [2026-01-03T16:30:45.786Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:30:56.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:31:09.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:31:20.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:31:28.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:31:35.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:31:41.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:31:47.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:31:47.750Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T16:31:48.085Z] The best model improves the baseline by 14.52%. [2026-01-03T16:31:49.251Z] Top recommended movies for user id 72: [2026-01-03T16:31:49.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:31:49.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:31:49.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:31:49.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:31:49.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:31:49.251Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91733.199 ms) ====== [2026-01-03T16:31:49.251Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T16:31:50.427Z] GC before operation: completed in 1046.471 ms, heap usage 171.568 MB -> 88.448 MB. [2026-01-03T16:32:01.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:32:12.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:32:21.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:32:30.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:32:36.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:32:42.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:32:48.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:32:53.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:32:53.804Z] 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. [2026-01-03T16:32:54.139Z] The best model improves the baseline by 14.52%. [2026-01-03T16:32:54.879Z] Top recommended movies for user id 72: [2026-01-03T16:32:54.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:32:54.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:32:54.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:32:54.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:32:54.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:32:54.879Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64411.413 ms) ====== [2026-01-03T16:32:54.879Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T16:32:55.616Z] GC before operation: completed in 980.407 ms, heap usage 800.772 MB -> 92.799 MB. [2026-01-03T16:33:06.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:33:15.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:33:22.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:33:31.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:33:36.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:33:41.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:33:47.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:33:52.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:33:53.135Z] 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. [2026-01-03T16:33:53.135Z] The best model improves the baseline by 14.52%. [2026-01-03T16:33:53.855Z] Top recommended movies for user id 72: [2026-01-03T16:33:53.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:33:53.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:33:53.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:33:53.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:33:53.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:33:53.855Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58205.418 ms) ====== [2026-01-03T16:33:53.855Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T16:33:55.031Z] GC before operation: completed in 942.304 ms, heap usage 455.495 MB -> 89.652 MB. [2026-01-03T16:34:04.132Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:34:11.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:34:20.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:34:27.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:34:35.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:34:41.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:34:47.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:34:51.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:34:52.622Z] 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. [2026-01-03T16:34:52.622Z] The best model improves the baseline by 14.52%. [2026-01-03T16:34:53.349Z] Top recommended movies for user id 72: [2026-01-03T16:34:53.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:34:53.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:34:53.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:34:53.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:34:53.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:34:53.349Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58467.823 ms) ====== [2026-01-03T16:34:53.349Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T16:34:54.090Z] GC before operation: completed in 766.672 ms, heap usage 432.685 MB -> 89.948 MB. [2026-01-03T16:35:03.051Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:35:12.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:35:22.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:35:31.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:35:36.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:35:42.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:35:47.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:35:53.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:35:53.763Z] 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. [2026-01-03T16:35:54.099Z] The best model improves the baseline by 14.52%. [2026-01-03T16:35:54.831Z] Top recommended movies for user id 72: [2026-01-03T16:35:54.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:35:54.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:35:54.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:35:54.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:35:54.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:35:54.832Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60632.433 ms) ====== [2026-01-03T16:35:54.832Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T16:35:55.575Z] GC before operation: completed in 786.688 ms, heap usage 476.039 MB -> 90.010 MB. [2026-01-03T16:36:06.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:36:15.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:36:24.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:36:31.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:36:37.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:36:42.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:36:47.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:36:53.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:36:53.741Z] 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. [2026-01-03T16:36:53.741Z] The best model improves the baseline by 14.52%. [2026-01-03T16:36:54.465Z] Top recommended movies for user id 72: [2026-01-03T16:36:54.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:36:54.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:36:54.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:36:54.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:36:54.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:36:54.465Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59068.418 ms) ====== [2026-01-03T16:36:54.465Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T16:36:55.205Z] GC before operation: completed in 795.966 ms, heap usage 155.723 MB -> 89.982 MB. [2026-01-03T16:37:04.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:37:13.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:37:20.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:37:27.906Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:37:32.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:37:37.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:37:41.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:37:46.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:37:46.899Z] 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. [2026-01-03T16:37:46.899Z] The best model improves the baseline by 14.52%. [2026-01-03T16:37:47.627Z] Top recommended movies for user id 72: [2026-01-03T16:37:47.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:37:47.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:37:47.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:37:47.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:37:47.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:37:47.627Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52324.221 ms) ====== [2026-01-03T16:37:47.627Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T16:37:48.375Z] GC before operation: completed in 839.797 ms, heap usage 899.371 MB -> 94.428 MB. [2026-01-03T16:37:57.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:38:04.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:38:13.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:38:19.688Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:38:24.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:38:29.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:38:35.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:38:40.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:38:41.399Z] 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. [2026-01-03T16:38:41.399Z] The best model improves the baseline by 14.52%. [2026-01-03T16:38:42.116Z] Top recommended movies for user id 72: [2026-01-03T16:38:42.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:38:42.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:38:42.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:38:42.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:38:42.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:38:42.116Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53628.074 ms) ====== [2026-01-03T16:38:42.116Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T16:38:42.844Z] GC before operation: completed in 797.097 ms, heap usage 211.807 MB -> 90.151 MB. [2026-01-03T16:38:51.800Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:39:00.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:39:08.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:39:17.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:39:21.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:39:26.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:39:32.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:39:36.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:39:37.606Z] 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. [2026-01-03T16:39:37.606Z] The best model improves the baseline by 14.52%. [2026-01-03T16:39:38.326Z] Top recommended movies for user id 72: [2026-01-03T16:39:38.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:39:38.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:39:38.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:39:38.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:39:38.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:39:38.326Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55481.946 ms) ====== [2026-01-03T16:39:38.326Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T16:39:39.069Z] GC before operation: completed in 812.509 ms, heap usage 132.109 MB -> 89.847 MB. [2026-01-03T16:39:48.042Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:39:57.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:40:04.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:40:13.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:40:17.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:40:22.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:40:28.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:40:32.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:40:34.237Z] 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. [2026-01-03T16:40:34.237Z] The best model improves the baseline by 14.52%. [2026-01-03T16:40:34.571Z] Top recommended movies for user id 72: [2026-01-03T16:40:34.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:40:34.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:40:34.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:40:34.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:40:34.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:40:34.572Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55510.216 ms) ====== [2026-01-03T16:40:34.572Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T16:40:35.754Z] GC before operation: completed in 800.967 ms, heap usage 139.983 MB -> 90.151 MB. [2026-01-03T16:40:44.715Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:40:52.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:40:59.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:41:06.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:41:10.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:41:15.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:41:21.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:41:26.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:41:26.208Z] 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. [2026-01-03T16:41:26.545Z] The best model improves the baseline by 14.52%. [2026-01-03T16:41:27.278Z] Top recommended movies for user id 72: [2026-01-03T16:41:27.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:41:27.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:41:27.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:41:27.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:41:27.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:41:27.278Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51541.928 ms) ====== [2026-01-03T16:41:27.278Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T16:41:28.012Z] GC before operation: completed in 838.549 ms, heap usage 264.928 MB -> 89.951 MB. [2026-01-03T16:41:36.973Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:41:44.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:41:51.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:41:57.694Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:42:02.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:42:07.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:42:12.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:42:16.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:42:17.235Z] 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. [2026-01-03T16:42:17.570Z] The best model improves the baseline by 14.52%. [2026-01-03T16:42:17.905Z] Top recommended movies for user id 72: [2026-01-03T16:42:17.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:42:17.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:42:17.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:42:17.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:42:17.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:42:17.905Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50045.043 ms) ====== [2026-01-03T16:42:17.905Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T16:42:19.075Z] GC before operation: completed in 840.238 ms, heap usage 517.035 MB -> 90.527 MB. [2026-01-03T16:42:28.056Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:42:34.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:42:42.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:42:48.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:42:53.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:42:58.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:43:03.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:43:08.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:43:09.016Z] 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. [2026-01-03T16:43:09.016Z] The best model improves the baseline by 14.52%. [2026-01-03T16:43:09.734Z] Top recommended movies for user id 72: [2026-01-03T16:43:09.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:43:09.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:43:09.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:43:09.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:43:09.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:43:09.734Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50947.224 ms) ====== [2026-01-03T16:43:09.734Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T16:43:10.467Z] GC before operation: completed in 834.293 ms, heap usage 199.917 MB -> 90.224 MB. [2026-01-03T16:43:19.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:43:26.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:43:34.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:43:41.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:43:46.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:43:51.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:43:56.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:43:59.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:44:01.156Z] 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. [2026-01-03T16:44:01.156Z] The best model improves the baseline by 14.52%. [2026-01-03T16:44:01.489Z] Top recommended movies for user id 72: [2026-01-03T16:44:01.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:44:01.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:44:01.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:44:01.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:44:01.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:44:01.489Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50972.623 ms) ====== [2026-01-03T16:44:01.489Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T16:44:02.230Z] GC before operation: completed in 819.780 ms, heap usage 447.156 MB -> 90.403 MB. [2026-01-03T16:44:11.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:44:18.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:44:25.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:44:33.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:44:37.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:44:41.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:44:46.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:44:50.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:44:51.854Z] 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. [2026-01-03T16:44:51.854Z] The best model improves the baseline by 14.52%. [2026-01-03T16:44:52.188Z] Top recommended movies for user id 72: [2026-01-03T16:44:52.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:44:52.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:44:52.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:44:52.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:44:52.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:44:52.188Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49880.994 ms) ====== [2026-01-03T16:44:52.188Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T16:44:53.360Z] GC before operation: completed in 858.207 ms, heap usage 640.796 MB -> 94.130 MB. [2026-01-03T16:45:00.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:45:09.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:45:17.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:45:24.324Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:45:29.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:45:33.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:45:37.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:45:42.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:45:43.086Z] 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. [2026-01-03T16:45:43.421Z] The best model improves the baseline by 14.52%. [2026-01-03T16:45:43.756Z] Top recommended movies for user id 72: [2026-01-03T16:45:43.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:45:43.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:45:43.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:45:43.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:45:43.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:45:43.756Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50675.339 ms) ====== [2026-01-03T16:45:43.756Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T16:45:44.497Z] GC before operation: completed in 834.255 ms, heap usage 379.224 MB -> 90.441 MB. [2026-01-03T16:45:53.462Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:46:00.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:46:08.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:46:14.167Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:46:19.005Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:46:23.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:46:28.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:46:32.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:46:33.143Z] 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. [2026-01-03T16:46:33.143Z] The best model improves the baseline by 14.52%. [2026-01-03T16:46:33.857Z] Top recommended movies for user id 72: [2026-01-03T16:46:33.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:46:33.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:46:33.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:46:33.857Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:46:33.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:46:33.857Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49210.399 ms) ====== [2026-01-03T16:46:33.857Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T16:46:34.594Z] GC before operation: completed in 846.078 ms, heap usage 564.007 MB -> 93.972 MB. [2026-01-03T16:46:43.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:46:51.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:46:58.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:47:04.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:47:09.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:47:13.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:47:18.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:47:22.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:47:23.318Z] 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. [2026-01-03T16:47:23.653Z] The best model improves the baseline by 14.52%. [2026-01-03T16:47:23.990Z] Top recommended movies for user id 72: [2026-01-03T16:47:23.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:47:23.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:47:23.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:47:23.990Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:47:23.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:47:23.990Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49359.117 ms) ====== [2026-01-03T16:47:23.990Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T16:47:24.724Z] GC before operation: completed in 829.122 ms, heap usage 305.237 MB -> 90.290 MB. [2026-01-03T16:47:33.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:47:40.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:47:48.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:47:55.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:48:00.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:48:05.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:48:10.266Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:48:15.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:48:16.239Z] 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. [2026-01-03T16:48:16.239Z] The best model improves the baseline by 14.52%. [2026-01-03T16:48:16.973Z] Top recommended movies for user id 72: [2026-01-03T16:48:16.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:48:16.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:48:16.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:48:16.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:48:16.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:48:16.973Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52062.166 ms) ====== [2026-01-03T16:48:16.973Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T16:48:17.700Z] GC before operation: completed in 816.691 ms, heap usage 130.390 MB -> 90.066 MB. [2026-01-03T16:48:26.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T16:48:34.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T16:48:43.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T16:48:50.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T16:48:55.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T16:49:00.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T16:49:04.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T16:49:09.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T16:49:11.041Z] 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. [2026-01-03T16:49:11.041Z] The best model improves the baseline by 14.52%. [2026-01-03T16:49:11.758Z] Top recommended movies for user id 72: [2026-01-03T16:49:11.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T16:49:11.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T16:49:11.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T16:49:11.758Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T16:49:11.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T16:49:11.758Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53896.753 ms) ====== [2026-01-03T16:49:14.779Z] ----------------------------------- [2026-01-03T16:49:14.779Z] renaissance-movie-lens_0_PASSED [2026-01-03T16:49:14.779Z] ----------------------------------- [2026-01-03T16:49:14.779Z] [2026-01-03T16:49:14.779Z] TEST TEARDOWN: [2026-01-03T16:49:14.779Z] Nothing to be done for teardown. [2026-01-03T16:49:14.779Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 16:49:14 2026 Epoch Time (ms): 1767458954654