[2025-10-17T15:17:44.941Z] Running test renaissance-movie-lens_0 ... [2025-10-17T15:17:44.941Z] =============================================== [2025-10-17T15:17:45.318Z] renaissance-movie-lens_0 Start Time: Fri Oct 17 15:17:44 2025 Epoch Time (ms): 1760714264929 [2025-10-17T15:17:45.318Z] variation: NoOptions [2025-10-17T15:17:45.318Z] JVM_OPTIONS: [2025-10-17T15:17:45.318Z] { \ [2025-10-17T15:17:45.318Z] echo ""; echo "TEST SETUP:"; \ [2025-10-17T15:17:45.318Z] echo "Nothing to be done for setup."; \ [2025-10-17T15:17:45.318Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17607124595441/renaissance-movie-lens_0"; \ [2025-10-17T15:17:45.318Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17607124595441/renaissance-movie-lens_0"; \ [2025-10-17T15:17:45.318Z] echo ""; echo "TESTING:"; \ [2025-10-17T15:17:45.318Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17607124595441/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-17T15:17:45.318Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17607124595441/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-17T15:17:45.318Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-17T15:17:45.318Z] echo "Nothing to be done for teardown."; \ [2025-10-17T15:17:45.318Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17607124595441/TestTargetResult"; [2025-10-17T15:17:45.318Z] [2025-10-17T15:17:45.318Z] TEST SETUP: [2025-10-17T15:17:45.318Z] Nothing to be done for setup. [2025-10-17T15:17:45.318Z] [2025-10-17T15:17:45.318Z] TESTING: [2025-10-17T15:17:45.704Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-17T15:17:45.704Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17607124595441/renaissance-movie-lens_0/launcher-151745-17309644309579648958/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-17T15:17:45.704Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-17T15:17:45.704Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-17T15:17:53.469Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-17T15:18:03.190Z] 15:18:02.284 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. [2025-10-17T15:18:05.145Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-17T15:18:05.960Z] Training: 60056, validation: 20285, test: 19854 [2025-10-17T15:18:05.960Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-17T15:18:06.360Z] GC before operation: completed in 138.520 ms, heap usage 225.191 MB -> 75.651 MB. [2025-10-17T15:18:14.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:18:18.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:18:23.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:18:27.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:18:29.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:18:31.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:18:34.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:18:36.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:18:36.450Z] 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. [2025-10-17T15:18:36.840Z] The best model improves the baseline by 14.52%. [2025-10-17T15:18:36.840Z] Top recommended movies for user id 72: [2025-10-17T15:18:36.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:18:36.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:18:36.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:18:36.840Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:18:36.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:18:36.840Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30798.653 ms) ====== [2025-10-17T15:18:36.840Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-17T15:18:37.225Z] GC before operation: completed in 143.300 ms, heap usage 156.341 MB -> 89.318 MB. [2025-10-17T15:18:41.402Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:18:44.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:18:48.870Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:18:52.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:18:54.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:18:56.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:18:58.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:19:00.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:19:01.007Z] 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. [2025-10-17T15:19:01.007Z] The best model improves the baseline by 14.52%. [2025-10-17T15:19:01.007Z] Top recommended movies for user id 72: [2025-10-17T15:19:01.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:19:01.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:19:01.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:19:01.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:19:01.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:19:01.007Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23965.026 ms) ====== [2025-10-17T15:19:01.007Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-17T15:19:01.390Z] GC before operation: completed in 146.906 ms, heap usage 544.654 MB -> 91.986 MB. [2025-10-17T15:19:04.730Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:19:08.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:19:12.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:19:14.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:19:16.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:19:18.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:19:20.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:19:22.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:19:22.816Z] 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. [2025-10-17T15:19:22.816Z] The best model improves the baseline by 14.52%. [2025-10-17T15:19:22.816Z] Top recommended movies for user id 72: [2025-10-17T15:19:22.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:19:22.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:19:22.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:19:22.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:19:22.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:19:22.816Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21709.254 ms) ====== [2025-10-17T15:19:22.816Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-17T15:19:23.217Z] GC before operation: completed in 144.909 ms, heap usage 206.196 MB -> 89.094 MB. [2025-10-17T15:19:26.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:19:29.158Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:19:32.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:19:35.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:19:37.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:19:39.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:19:41.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:19:42.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:19:43.167Z] 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. [2025-10-17T15:19:43.167Z] The best model improves the baseline by 14.52%. [2025-10-17T15:19:43.546Z] Top recommended movies for user id 72: [2025-10-17T15:19:43.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:19:43.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:19:43.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:19:43.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:19:43.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:19:43.547Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20390.282 ms) ====== [2025-10-17T15:19:43.547Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-17T15:19:43.547Z] GC before operation: completed in 141.039 ms, heap usage 364.410 MB -> 89.614 MB. [2025-10-17T15:19:46.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:19:50.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:19:52.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:19:56.144Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:19:58.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:19:59.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:20:01.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:20:03.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:20:04.046Z] 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. [2025-10-17T15:20:04.046Z] The best model improves the baseline by 14.52%. [2025-10-17T15:20:04.423Z] Top recommended movies for user id 72: [2025-10-17T15:20:04.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:20:04.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:20:04.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:20:04.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:20:04.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:20:04.423Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20740.345 ms) ====== [2025-10-17T15:20:04.423Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-17T15:20:04.423Z] GC before operation: completed in 152.325 ms, heap usage 215.543 MB -> 89.370 MB. [2025-10-17T15:20:08.620Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:20:11.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:20:14.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:20:17.738Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:20:19.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:20:21.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:20:23.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:20:24.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:20:25.336Z] 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. [2025-10-17T15:20:25.336Z] The best model improves the baseline by 14.52%. [2025-10-17T15:20:25.729Z] Top recommended movies for user id 72: [2025-10-17T15:20:25.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:20:25.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:20:25.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:20:25.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:20:25.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:20:25.729Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21156.945 ms) ====== [2025-10-17T15:20:25.729Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-17T15:20:25.729Z] GC before operation: completed in 140.816 ms, heap usage 370.575 MB -> 90.011 MB. [2025-10-17T15:20:29.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:20:32.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:20:34.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:20:38.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:20:40.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:20:41.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:20:43.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:20:45.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:20:45.764Z] 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. [2025-10-17T15:20:45.764Z] The best model improves the baseline by 14.52%. [2025-10-17T15:20:46.139Z] Top recommended movies for user id 72: [2025-10-17T15:20:46.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:20:46.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:20:46.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:20:46.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:20:46.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:20:46.139Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20299.309 ms) ====== [2025-10-17T15:20:46.139Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-17T15:20:46.139Z] GC before operation: completed in 137.547 ms, heap usage 265.502 MB -> 89.818 MB. [2025-10-17T15:20:49.565Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:20:52.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:20:55.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:20:58.735Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:21:00.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:21:01.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:21:03.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:21:05.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:21:05.677Z] 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. [2025-10-17T15:21:06.057Z] The best model improves the baseline by 14.52%. [2025-10-17T15:21:06.057Z] Top recommended movies for user id 72: [2025-10-17T15:21:06.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:21:06.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:21:06.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:21:06.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:21:06.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:21:06.057Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19823.179 ms) ====== [2025-10-17T15:21:06.057Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-17T15:21:06.057Z] GC before operation: completed in 149.850 ms, heap usage 703.657 MB -> 93.764 MB. [2025-10-17T15:21:09.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:21:11.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:21:14.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:21:17.865Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:21:19.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:21:21.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:21:22.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:21:24.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:21:24.690Z] 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. [2025-10-17T15:21:24.690Z] The best model improves the baseline by 14.52%. [2025-10-17T15:21:25.080Z] Top recommended movies for user id 72: [2025-10-17T15:21:25.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:21:25.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:21:25.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:21:25.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:21:25.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:21:25.080Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18716.195 ms) ====== [2025-10-17T15:21:25.080Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-17T15:21:25.080Z] GC before operation: completed in 142.134 ms, heap usage 179.708 MB -> 89.882 MB. [2025-10-17T15:21:28.355Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:21:30.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:21:34.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:21:36.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:21:38.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:21:40.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:21:42.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:21:44.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:21:44.410Z] 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. [2025-10-17T15:21:44.410Z] The best model improves the baseline by 14.52%. [2025-10-17T15:21:44.822Z] Top recommended movies for user id 72: [2025-10-17T15:21:44.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:21:44.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:21:44.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:21:44.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:21:44.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:21:44.822Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19519.381 ms) ====== [2025-10-17T15:21:44.822Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-17T15:21:44.822Z] GC before operation: completed in 139.205 ms, heap usage 98.734 MB -> 90.034 MB. [2025-10-17T15:21:48.121Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:21:50.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:21:53.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:21:56.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:21:58.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:22:00.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:22:02.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:22:04.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:22:04.650Z] 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. [2025-10-17T15:22:04.650Z] The best model improves the baseline by 14.52%. [2025-10-17T15:22:05.033Z] Top recommended movies for user id 72: [2025-10-17T15:22:05.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:22:05.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:22:05.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:22:05.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:22:05.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:22:05.033Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20271.554 ms) ====== [2025-10-17T15:22:05.033Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-17T15:22:05.033Z] GC before operation: completed in 140.586 ms, heap usage 416.270 MB -> 89.883 MB. [2025-10-17T15:22:08.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:22:11.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:22:14.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:22:17.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:22:18.729Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:22:20.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:22:22.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:22:24.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:22:24.780Z] 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. [2025-10-17T15:22:24.780Z] The best model improves the baseline by 14.52%. [2025-10-17T15:22:24.780Z] Top recommended movies for user id 72: [2025-10-17T15:22:24.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:22:24.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:22:24.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:22:24.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:22:24.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:22:24.780Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19792.224 ms) ====== [2025-10-17T15:22:24.780Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-17T15:22:25.165Z] GC before operation: completed in 139.500 ms, heap usage 129.223 MB -> 89.823 MB. [2025-10-17T15:22:28.456Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:22:30.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:22:33.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:22:36.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:22:38.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:22:40.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:22:42.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:22:43.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:22:43.950Z] 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. [2025-10-17T15:22:44.333Z] The best model improves the baseline by 14.52%. [2025-10-17T15:22:44.333Z] Top recommended movies for user id 72: [2025-10-17T15:22:44.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:22:44.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:22:44.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:22:44.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:22:44.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:22:44.333Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19266.340 ms) ====== [2025-10-17T15:22:44.333Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-17T15:22:44.333Z] GC before operation: completed in 149.552 ms, heap usage 394.371 MB -> 90.284 MB. [2025-10-17T15:22:47.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:22:50.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:22:54.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:22:56.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:22:58.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:23:00.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:23:02.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:23:04.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:23:04.612Z] 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. [2025-10-17T15:23:04.613Z] The best model improves the baseline by 14.52%. [2025-10-17T15:23:04.991Z] Top recommended movies for user id 72: [2025-10-17T15:23:04.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:23:04.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:23:04.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:23:04.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:23:04.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:23:04.991Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20335.115 ms) ====== [2025-10-17T15:23:04.991Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-17T15:23:04.991Z] GC before operation: completed in 140.695 ms, heap usage 180.889 MB -> 89.770 MB. [2025-10-17T15:23:08.291Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:23:10.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:23:14.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:23:17.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:23:19.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:23:21.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:23:22.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:23:24.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:23:24.897Z] 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. [2025-10-17T15:23:24.897Z] The best model improves the baseline by 14.52%. [2025-10-17T15:23:25.276Z] Top recommended movies for user id 72: [2025-10-17T15:23:25.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:23:25.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:23:25.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:23:25.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:23:25.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:23:25.276Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20230.093 ms) ====== [2025-10-17T15:23:25.276Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-17T15:23:25.276Z] GC before operation: completed in 148.440 ms, heap usage 373.369 MB -> 90.298 MB. [2025-10-17T15:23:28.755Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:23:31.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:23:34.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:23:37.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:23:39.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:23:41.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:23:42.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:23:44.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:23:45.350Z] 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. [2025-10-17T15:23:45.350Z] The best model improves the baseline by 14.52%. [2025-10-17T15:23:45.350Z] Top recommended movies for user id 72: [2025-10-17T15:23:45.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:23:45.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:23:45.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:23:45.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:23:45.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:23:45.350Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20161.445 ms) ====== [2025-10-17T15:23:45.350Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-17T15:23:45.735Z] GC before operation: completed in 141.320 ms, heap usage 115.766 MB -> 89.712 MB. [2025-10-17T15:23:49.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:23:51.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:23:55.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:23:57.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:23:59.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:24:01.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:24:03.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:24:05.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:24:05.262Z] 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. [2025-10-17T15:24:05.262Z] The best model improves the baseline by 14.52%. [2025-10-17T15:24:05.651Z] Top recommended movies for user id 72: [2025-10-17T15:24:05.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:24:05.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:24:05.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:24:05.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:24:05.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:24:05.651Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19792.091 ms) ====== [2025-10-17T15:24:05.651Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-17T15:24:05.651Z] GC before operation: completed in 146.786 ms, heap usage 405.265 MB -> 90.180 MB. [2025-10-17T15:24:08.928Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:24:11.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:24:14.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:24:17.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:24:18.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:24:20.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:24:22.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:24:24.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:24:24.900Z] 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. [2025-10-17T15:24:24.900Z] The best model improves the baseline by 14.52%. [2025-10-17T15:24:24.900Z] Top recommended movies for user id 72: [2025-10-17T15:24:24.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:24:24.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:24:24.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:24:24.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:24:24.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:24:24.900Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19386.820 ms) ====== [2025-10-17T15:24:24.900Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-17T15:24:25.284Z] GC before operation: completed in 147.239 ms, heap usage 414.845 MB -> 89.997 MB. [2025-10-17T15:24:28.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:24:31.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:24:34.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:24:36.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:24:38.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:24:40.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:24:42.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:24:44.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:24:44.495Z] 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. [2025-10-17T15:24:44.495Z] The best model improves the baseline by 14.52%. [2025-10-17T15:24:44.882Z] Top recommended movies for user id 72: [2025-10-17T15:24:44.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:24:44.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:24:44.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:24:44.882Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:24:44.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:24:44.882Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19691.596 ms) ====== [2025-10-17T15:24:44.882Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-17T15:24:44.882Z] GC before operation: completed in 147.538 ms, heap usage 539.485 MB -> 90.346 MB. [2025-10-17T15:24:48.262Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-17T15:24:50.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-17T15:24:54.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-17T15:24:56.598Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-17T15:24:58.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-17T15:25:00.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-17T15:25:02.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-17T15:25:04.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-17T15:25:04.627Z] 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. [2025-10-17T15:25:04.627Z] The best model improves the baseline by 14.52%. [2025-10-17T15:25:04.627Z] Top recommended movies for user id 72: [2025-10-17T15:25:04.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-17T15:25:04.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-17T15:25:04.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-17T15:25:04.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-17T15:25:04.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-17T15:25:04.627Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19711.304 ms) ====== [2025-10-17T15:25:05.429Z] ----------------------------------- [2025-10-17T15:25:05.429Z] renaissance-movie-lens_0_PASSED [2025-10-17T15:25:05.429Z] ----------------------------------- [2025-10-17T15:25:05.429Z] [2025-10-17T15:25:05.429Z] TEST TEARDOWN: [2025-10-17T15:25:05.429Z] Nothing to be done for teardown. [2025-10-17T15:25:05.429Z] renaissance-movie-lens_0 Finish Time: Fri Oct 17 15:25:05 2025 Epoch Time (ms): 1760714705154