Test Results Summary Service

renaissance-movie-lens_0

[2025-10-31T15:21:59.690Z] Running test renaissance-movie-lens_0 ... [2025-10-31T15:21:59.690Z] =============================================== [2025-10-31T15:21:59.690Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 15:21:58 2025 Epoch Time (ms): 1761924118524 [2025-10-31T15:21:59.690Z] variation: NoOptions [2025-10-31T15:21:59.690Z] JVM_OPTIONS: [2025-10-31T15:21:59.690Z] { \ [2025-10-31T15:21:59.690Z] echo ""; echo "TEST SETUP:"; \ [2025-10-31T15:21:59.690Z] echo "Nothing to be done for setup."; \ [2025-10-31T15:21:59.690Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17619229449180/renaissance-movie-lens_0"; \ [2025-10-31T15:21:59.691Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17619229449180/renaissance-movie-lens_0"; \ [2025-10-31T15:21:59.691Z] echo ""; echo "TESTING:"; \ [2025-10-31T15:21:59.691Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17619229449180/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-31T15:21:59.691Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17619229449180/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-31T15:21:59.691Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-31T15:21:59.691Z] echo "Nothing to be done for teardown."; \ [2025-10-31T15:21:59.691Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17619229449180/TestTargetResult"; [2025-10-31T15:21:59.691Z] [2025-10-31T15:21:59.691Z] TEST SETUP: [2025-10-31T15:21:59.691Z] Nothing to be done for setup. [2025-10-31T15:21:59.691Z] [2025-10-31T15:21:59.691Z] TESTING: [2025-10-31T15:21:59.691Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-31T15:21:59.691Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17619229449180/renaissance-movie-lens_0/launcher-152158-16128003521329398163/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-31T15:21:59.691Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-31T15:21:59.691Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-31T15:22:05.018Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-31T15:22:11.663Z] 15:22:10.679 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-31T15:22:12.670Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-31T15:22:13.614Z] Training: 60056, validation: 20285, test: 19854 [2025-10-31T15:22:13.614Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-31T15:22:13.614Z] GC before operation: completed in 131.685 ms, heap usage 201.839 MB -> 75.972 MB. [2025-10-31T15:22:19.457Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:22:22.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:22:25.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:22:28.616Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:22:29.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:22:31.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:22:33.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:22:35.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:22:35.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-31T15:22:35.379Z] The best model improves the baseline by 14.52%. [2025-10-31T15:22:35.379Z] Top recommended movies for user id 72: [2025-10-31T15:22:35.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:22:35.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:22:35.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:22:35.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:22:35.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:22:35.379Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21846.120 ms) ====== [2025-10-31T15:22:35.379Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-31T15:22:35.379Z] GC before operation: completed in 176.497 ms, heap usage 225.004 MB -> 98.028 MB. [2025-10-31T15:22:38.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:22:41.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:22:44.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:22:46.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:22:48.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:22:49.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:22:51.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:22:53.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:22:53.088Z] 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. [2025-10-31T15:22:53.088Z] The best model improves the baseline by 14.52%. [2025-10-31T15:22:53.088Z] Top recommended movies for user id 72: [2025-10-31T15:22:53.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:22:53.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:22:53.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:22:53.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:22:53.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:22:53.088Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17621.218 ms) ====== [2025-10-31T15:22:53.088Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-31T15:22:53.088Z] GC before operation: completed in 211.256 ms, heap usage 253.456 MB -> 88.671 MB. [2025-10-31T15:22:56.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:22:59.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:23:01.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:23:04.022Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:23:05.960Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:23:06.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:23:08.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:23:10.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:23:10.781Z] 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. [2025-10-31T15:23:10.781Z] The best model improves the baseline by 14.52%. [2025-10-31T15:23:10.781Z] Top recommended movies for user id 72: [2025-10-31T15:23:10.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:23:10.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:23:10.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:23:10.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:23:10.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:23:10.781Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17261.201 ms) ====== [2025-10-31T15:23:10.781Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-31T15:23:10.781Z] GC before operation: completed in 115.169 ms, heap usage 387.786 MB -> 89.593 MB. [2025-10-31T15:23:13.898Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:23:15.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:23:17.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:23:20.667Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:23:22.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:23:23.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:23:25.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:23:26.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:23:27.378Z] 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. [2025-10-31T15:23:27.378Z] The best model improves the baseline by 14.52%. [2025-10-31T15:23:27.378Z] Top recommended movies for user id 72: [2025-10-31T15:23:27.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:23:27.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:23:27.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:23:27.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:23:27.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:23:27.378Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16220.082 ms) ====== [2025-10-31T15:23:27.378Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-31T15:23:27.378Z] GC before operation: completed in 116.286 ms, heap usage 373.550 MB -> 89.874 MB. [2025-10-31T15:23:29.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:23:32.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:23:34.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:23:37.240Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:23:38.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:23:40.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:23:41.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:23:43.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:23:43.007Z] 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. [2025-10-31T15:23:43.007Z] The best model improves the baseline by 14.52%. [2025-10-31T15:23:43.007Z] Top recommended movies for user id 72: [2025-10-31T15:23:43.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:23:43.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:23:43.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:23:43.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:23:43.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:23:43.007Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15970.806 ms) ====== [2025-10-31T15:23:43.007Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-31T15:23:43.007Z] GC before operation: completed in 121.197 ms, heap usage 355.334 MB -> 89.701 MB. [2025-10-31T15:23:45.998Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:23:47.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:23:49.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:23:51.820Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:23:52.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:23:54.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:23:55.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:23:56.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:23:57.531Z] 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. [2025-10-31T15:23:57.531Z] The best model improves the baseline by 14.52%. [2025-10-31T15:23:57.531Z] Top recommended movies for user id 72: [2025-10-31T15:23:57.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:23:57.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:23:57.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:23:57.531Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:23:57.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:23:57.531Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14165.277 ms) ====== [2025-10-31T15:23:57.531Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-31T15:23:57.531Z] GC before operation: completed in 112.812 ms, heap usage 121.043 MB -> 89.831 MB. [2025-10-31T15:23:59.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:24:02.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:24:04.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:24:06.346Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:24:08.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:24:09.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:24:11.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:24:12.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:24:12.134Z] 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. [2025-10-31T15:24:13.076Z] The best model improves the baseline by 14.52%. [2025-10-31T15:24:13.076Z] Top recommended movies for user id 72: [2025-10-31T15:24:13.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:24:13.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:24:13.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:24:13.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:24:13.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:24:13.076Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15131.351 ms) ====== [2025-10-31T15:24:13.076Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-31T15:24:13.076Z] GC before operation: completed in 115.228 ms, heap usage 98.141 MB -> 93.390 MB. [2025-10-31T15:24:16.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:24:17.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:24:20.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:24:21.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:24:22.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:24:24.866Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:24:25.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:24:27.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:24:27.759Z] 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. [2025-10-31T15:24:27.759Z] The best model improves the baseline by 14.52%. [2025-10-31T15:24:27.759Z] Top recommended movies for user id 72: [2025-10-31T15:24:27.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:24:27.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:24:27.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:24:27.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:24:27.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:24:27.759Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14894.127 ms) ====== [2025-10-31T15:24:27.759Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-31T15:24:27.759Z] GC before operation: completed in 146.013 ms, heap usage 371.007 MB -> 90.357 MB. [2025-10-31T15:24:29.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:24:31.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:24:34.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:24:36.578Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:24:37.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:24:38.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:24:40.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:24:41.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:24:41.365Z] 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. [2025-10-31T15:24:41.365Z] The best model improves the baseline by 14.52%. [2025-10-31T15:24:42.313Z] Top recommended movies for user id 72: [2025-10-31T15:24:42.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:24:42.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:24:42.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:24:42.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:24:42.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:24:42.313Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13996.841 ms) ====== [2025-10-31T15:24:42.313Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-31T15:24:42.313Z] GC before operation: completed in 165.542 ms, heap usage 704.753 MB -> 93.847 MB. [2025-10-31T15:24:44.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:24:46.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:24:49.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:24:51.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:24:52.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:24:54.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:24:54.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:24:56.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:24:56.903Z] 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. [2025-10-31T15:24:56.903Z] The best model improves the baseline by 14.52%. [2025-10-31T15:24:57.848Z] Top recommended movies for user id 72: [2025-10-31T15:24:57.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:24:57.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:24:57.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:24:57.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:24:57.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:24:57.848Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15369.250 ms) ====== [2025-10-31T15:24:57.848Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-31T15:24:57.848Z] GC before operation: completed in 116.581 ms, heap usage 374.574 MB -> 90.390 MB. [2025-10-31T15:24:59.785Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:25:02.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:25:04.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:25:06.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:25:08.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:25:09.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:25:11.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:25:14.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:25:14.039Z] 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. [2025-10-31T15:25:14.039Z] The best model improves the baseline by 14.52%. [2025-10-31T15:25:14.039Z] Top recommended movies for user id 72: [2025-10-31T15:25:14.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:25:14.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:25:14.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:25:14.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:25:14.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:25:14.039Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15831.201 ms) ====== [2025-10-31T15:25:14.040Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-31T15:25:14.040Z] GC before operation: completed in 118.445 ms, heap usage 381.578 MB -> 90.089 MB. [2025-10-31T15:25:15.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:25:17.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:25:19.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:25:21.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:25:23.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:25:24.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:25:25.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:25:27.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:25:27.554Z] 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. [2025-10-31T15:25:27.554Z] The best model improves the baseline by 14.52%. [2025-10-31T15:25:27.554Z] Top recommended movies for user id 72: [2025-10-31T15:25:27.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:25:27.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:25:27.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:25:27.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:25:27.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:25:27.554Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14171.328 ms) ====== [2025-10-31T15:25:27.554Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-31T15:25:27.554Z] GC before operation: completed in 112.535 ms, heap usage 242.828 MB -> 90.168 MB. [2025-10-31T15:25:29.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:25:32.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:25:34.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:25:36.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:25:37.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:25:38.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:25:40.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:25:41.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:25:41.152Z] 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. [2025-10-31T15:25:41.152Z] The best model improves the baseline by 14.52%. [2025-10-31T15:25:42.096Z] Top recommended movies for user id 72: [2025-10-31T15:25:42.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:25:42.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:25:42.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:25:42.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:25:42.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:25:42.096Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13948.120 ms) ====== [2025-10-31T15:25:42.096Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-31T15:25:42.096Z] GC before operation: completed in 123.203 ms, heap usage 293.530 MB -> 90.430 MB. [2025-10-31T15:25:44.030Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:25:45.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:25:47.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:25:50.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:25:51.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:25:52.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:25:53.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:25:55.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:25:55.662Z] 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. [2025-10-31T15:25:55.662Z] The best model improves the baseline by 14.52%. [2025-10-31T15:25:55.662Z] Top recommended movies for user id 72: [2025-10-31T15:25:55.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:25:55.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:25:55.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:25:55.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:25:55.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:25:55.662Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13954.315 ms) ====== [2025-10-31T15:25:55.662Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-31T15:25:55.662Z] GC before operation: completed in 109.546 ms, heap usage 251.567 MB -> 90.145 MB. [2025-10-31T15:25:57.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:25:59.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:26:02.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:26:03.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:26:05.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:26:06.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:26:08.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:26:09.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:26:09.246Z] 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. [2025-10-31T15:26:09.246Z] The best model improves the baseline by 14.52%. [2025-10-31T15:26:09.246Z] Top recommended movies for user id 72: [2025-10-31T15:26:09.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:26:09.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:26:09.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:26:09.246Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:26:09.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:26:09.246Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13687.165 ms) ====== [2025-10-31T15:26:09.246Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-31T15:26:10.190Z] GC before operation: completed in 145.048 ms, heap usage 370.490 MB -> 90.593 MB. [2025-10-31T15:26:12.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:26:13.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:26:15.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:26:18.898Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:26:19.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:26:20.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:26:21.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:26:23.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:26:23.673Z] 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. [2025-10-31T15:26:23.673Z] The best model improves the baseline by 14.52%. [2025-10-31T15:26:23.673Z] Top recommended movies for user id 72: [2025-10-31T15:26:23.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:26:23.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:26:23.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:26:23.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:26:23.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:26:23.673Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14160.397 ms) ====== [2025-10-31T15:26:23.673Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-31T15:26:23.673Z] GC before operation: completed in 117.657 ms, heap usage 375.163 MB -> 90.414 MB. [2025-10-31T15:26:26.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:26:28.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:26:30.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:26:32.492Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:26:33.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:26:34.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:26:36.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:26:37.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:26:37.266Z] 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. [2025-10-31T15:26:38.210Z] The best model improves the baseline by 14.52%. [2025-10-31T15:26:38.210Z] Top recommended movies for user id 72: [2025-10-31T15:26:38.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:26:38.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:26:38.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:26:38.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:26:38.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:26:38.210Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13868.070 ms) ====== [2025-10-31T15:26:38.210Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-31T15:26:38.210Z] GC before operation: completed in 109.795 ms, heap usage 297.709 MB -> 90.404 MB. [2025-10-31T15:26:40.160Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:26:42.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:26:45.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:26:47.026Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:26:47.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:26:49.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:26:50.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:26:51.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:26:52.742Z] 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. [2025-10-31T15:26:52.742Z] The best model improves the baseline by 14.52%. [2025-10-31T15:26:52.742Z] Top recommended movies for user id 72: [2025-10-31T15:26:52.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:26:52.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:26:52.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:26:52.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:26:52.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:26:52.742Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14744.216 ms) ====== [2025-10-31T15:26:52.742Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-31T15:26:52.742Z] GC before operation: completed in 120.756 ms, heap usage 372.580 MB -> 90.305 MB. [2025-10-31T15:26:54.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:26:57.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:26:59.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:27:01.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:27:02.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:27:04.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:27:05.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:27:07.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:27:07.343Z] 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. [2025-10-31T15:27:07.343Z] The best model improves the baseline by 14.52%. [2025-10-31T15:27:07.343Z] Top recommended movies for user id 72: [2025-10-31T15:27:07.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:27:07.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:27:07.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:27:07.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:27:07.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:27:07.343Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14562.437 ms) ====== [2025-10-31T15:27:07.343Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-31T15:27:07.343Z] GC before operation: completed in 117.213 ms, heap usage 455.541 MB -> 90.521 MB. [2025-10-31T15:27:09.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T15:27:12.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T15:27:14.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T15:27:16.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T15:27:17.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T15:27:18.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T15:27:19.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T15:27:21.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T15:27:21.827Z] 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. [2025-10-31T15:27:21.827Z] The best model improves the baseline by 14.52%. [2025-10-31T15:27:21.827Z] Top recommended movies for user id 72: [2025-10-31T15:27:21.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-31T15:27:21.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-31T15:27:21.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-31T15:27:21.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-31T15:27:21.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-31T15:27:21.827Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14329.519 ms) ====== [2025-10-31T15:27:22.771Z] ----------------------------------- [2025-10-31T15:27:22.771Z] renaissance-movie-lens_0_PASSED [2025-10-31T15:27:22.771Z] ----------------------------------- [2025-10-31T15:27:22.771Z] [2025-10-31T15:27:22.771Z] TEST TEARDOWN: [2025-10-31T15:27:22.771Z] Nothing to be done for teardown. [2025-10-31T15:27:22.771Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 15:27:21 2025 Epoch Time (ms): 1761924441891