[2025-06-27T03:55:18.731Z] Running test renaissance-movie-lens_0 ... [2025-06-27T03:55:18.731Z] =============================================== [2025-06-27T03:55:18.731Z] renaissance-movie-lens_0 Start Time: Fri Jun 27 03:55:17 2025 Epoch Time (ms): 1750996517806 [2025-06-27T03:55:18.731Z] variation: NoOptions [2025-06-27T03:55:18.731Z] JVM_OPTIONS: [2025-06-27T03:55:18.731Z] { \ [2025-06-27T03:55:18.731Z] echo ""; echo "TEST SETUP:"; \ [2025-06-27T03:55:18.731Z] echo "Nothing to be done for setup."; \ [2025-06-27T03:55:18.732Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17509953913465/renaissance-movie-lens_0"; \ [2025-06-27T03:55:18.732Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17509953913465/renaissance-movie-lens_0"; \ [2025-06-27T03:55:18.732Z] echo ""; echo "TESTING:"; \ [2025-06-27T03:55:18.732Z] "/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_17509953913465/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-27T03:55:18.732Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17509953913465/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-27T03:55:18.732Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-27T03:55:18.732Z] echo "Nothing to be done for teardown."; \ [2025-06-27T03:55:18.732Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17509953913465/TestTargetResult"; [2025-06-27T03:55:18.732Z] [2025-06-27T03:55:18.732Z] TEST SETUP: [2025-06-27T03:55:18.732Z] Nothing to be done for setup. [2025-06-27T03:55:18.732Z] [2025-06-27T03:55:18.732Z] TESTING: [2025-06-27T03:55:18.732Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-27T03:55:18.732Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17509953913465/renaissance-movie-lens_0/launcher-035517-1223173806212613830/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-27T03:55:18.732Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-27T03:55:18.732Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-27T03:55:24.133Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-27T03:55:29.619Z] 03:55:28.973 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. [2025-06-27T03:55:31.586Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-27T03:55:31.586Z] Training: 60056, validation: 20285, test: 19854 [2025-06-27T03:55:31.586Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-27T03:55:31.586Z] GC before operation: completed in 125.847 ms, heap usage 364.299 MB -> 75.687 MB. [2025-06-27T03:55:36.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:55:40.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:55:43.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:55:46.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:55:47.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:55:49.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:55:51.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:55:52.042Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:55:52.042Z] 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. [2025-06-27T03:55:52.042Z] The best model improves the baseline by 14.52%. [2025-06-27T03:55:53.015Z] Top recommended movies for user id 72: [2025-06-27T03:55:53.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:55:53.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:55:53.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:55:53.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:55:53.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:55:53.015Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20743.433 ms) ====== [2025-06-27T03:55:53.015Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-27T03:55:53.015Z] GC before operation: completed in 139.970 ms, heap usage 411.194 MB -> 89.605 MB. [2025-06-27T03:55:54.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:55:58.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:56:00.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:56:02.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:56:04.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:56:04.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:56:06.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:56:07.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:56:07.889Z] 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. [2025-06-27T03:56:07.889Z] The best model improves the baseline by 14.52%. [2025-06-27T03:56:08.854Z] Top recommended movies for user id 72: [2025-06-27T03:56:08.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:56:08.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:56:08.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:56:08.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:56:08.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:56:08.855Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15718.608 ms) ====== [2025-06-27T03:56:08.855Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-27T03:56:08.855Z] GC before operation: completed in 147.065 ms, heap usage 242.181 MB -> 88.392 MB. [2025-06-27T03:56:10.895Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:56:13.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:56:15.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:56:17.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:56:19.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:56:20.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:56:23.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:56:23.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:56:23.509Z] 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. [2025-06-27T03:56:24.468Z] The best model improves the baseline by 14.52%. [2025-06-27T03:56:24.468Z] Top recommended movies for user id 72: [2025-06-27T03:56:24.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:56:24.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:56:24.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:56:24.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:56:24.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:56:24.468Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15523.804 ms) ====== [2025-06-27T03:56:24.468Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-27T03:56:24.468Z] GC before operation: completed in 133.691 ms, heap usage 372.070 MB -> 89.264 MB. [2025-06-27T03:56:26.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:56:28.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:56:31.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:56:33.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:56:34.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:56:36.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:56:37.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:56:39.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:56:39.607Z] 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. [2025-06-27T03:56:39.607Z] The best model improves the baseline by 14.52%. [2025-06-27T03:56:39.607Z] Top recommended movies for user id 72: [2025-06-27T03:56:39.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:56:39.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:56:39.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:56:39.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:56:39.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:56:39.607Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15357.017 ms) ====== [2025-06-27T03:56:39.607Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-27T03:56:39.607Z] GC before operation: completed in 148.256 ms, heap usage 399.527 MB -> 89.681 MB. [2025-06-27T03:56:42.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:56:44.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:56:46.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:56:49.617Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:56:50.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:56:52.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:56:53.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:56:55.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:56:55.473Z] 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. [2025-06-27T03:56:55.473Z] The best model improves the baseline by 14.52%. [2025-06-27T03:56:55.473Z] Top recommended movies for user id 72: [2025-06-27T03:56:55.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:56:55.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:56:55.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:56:55.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:56:55.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:56:55.473Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15811.896 ms) ====== [2025-06-27T03:56:55.473Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-27T03:56:55.473Z] GC before operation: completed in 117.209 ms, heap usage 229.831 MB -> 89.400 MB. [2025-06-27T03:56:57.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:57:00.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:57:02.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:57:05.499Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:57:06.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:57:07.413Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:57:09.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:57:10.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:57:11.302Z] 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. [2025-06-27T03:57:11.302Z] The best model improves the baseline by 14.52%. [2025-06-27T03:57:11.302Z] Top recommended movies for user id 72: [2025-06-27T03:57:11.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:57:11.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:57:11.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:57:11.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:57:11.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:57:11.302Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15337.314 ms) ====== [2025-06-27T03:57:11.302Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-27T03:57:11.302Z] GC before operation: completed in 136.655 ms, heap usage 120.929 MB -> 89.604 MB. [2025-06-27T03:57:13.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:57:16.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:57:18.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:57:21.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:57:22.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:57:24.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:57:25.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:57:27.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:57:27.146Z] 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. [2025-06-27T03:57:27.146Z] The best model improves the baseline by 14.52%. [2025-06-27T03:57:27.146Z] Top recommended movies for user id 72: [2025-06-27T03:57:27.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:57:27.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:57:27.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:57:27.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:57:27.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:57:27.146Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16144.300 ms) ====== [2025-06-27T03:57:27.146Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-27T03:57:27.146Z] GC before operation: completed in 180.798 ms, heap usage 371.771 MB -> 89.878 MB. [2025-06-27T03:57:30.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:57:32.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:57:34.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:57:36.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:57:37.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:57:39.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:57:40.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:57:41.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:57:42.070Z] 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. [2025-06-27T03:57:42.070Z] The best model improves the baseline by 14.52%. [2025-06-27T03:57:42.070Z] Top recommended movies for user id 72: [2025-06-27T03:57:42.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:57:42.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:57:42.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:57:42.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:57:42.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:57:42.070Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14417.096 ms) ====== [2025-06-27T03:57:42.070Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-27T03:57:42.070Z] GC before operation: completed in 213.452 ms, heap usage 287.763 MB -> 89.958 MB. [2025-06-27T03:57:44.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:57:46.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:57:48.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:57:50.739Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:57:52.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:57:53.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:57:55.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:57:56.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:57:57.637Z] 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. [2025-06-27T03:57:57.637Z] The best model improves the baseline by 14.52%. [2025-06-27T03:57:57.637Z] Top recommended movies for user id 72: [2025-06-27T03:57:57.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:57:57.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:57:57.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:57:57.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:57:57.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:57:57.638Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15360.725 ms) ====== [2025-06-27T03:57:57.638Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-27T03:57:57.638Z] GC before operation: completed in 204.028 ms, heap usage 431.703 MB -> 90.009 MB. [2025-06-27T03:57:59.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:58:03.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:58:05.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:58:07.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:58:08.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:58:09.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:58:10.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:58:12.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:58:12.918Z] 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. [2025-06-27T03:58:12.918Z] The best model improves the baseline by 14.52%. [2025-06-27T03:58:12.918Z] Top recommended movies for user id 72: [2025-06-27T03:58:12.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:58:12.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:58:12.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:58:12.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:58:12.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:58:12.918Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15527.114 ms) ====== [2025-06-27T03:58:12.918Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-27T03:58:13.875Z] GC before operation: completed in 150.467 ms, heap usage 129.547 MB -> 89.907 MB. [2025-06-27T03:58:15.838Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:58:17.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:58:19.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:58:21.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:58:23.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:58:24.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:58:26.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:58:27.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:58:27.755Z] 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. [2025-06-27T03:58:27.755Z] The best model improves the baseline by 14.52%. [2025-06-27T03:58:27.755Z] Top recommended movies for user id 72: [2025-06-27T03:58:27.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:58:27.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:58:27.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:58:27.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:58:27.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:58:27.755Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14558.367 ms) ====== [2025-06-27T03:58:27.755Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-27T03:58:27.755Z] GC before operation: completed in 175.394 ms, heap usage 776.176 MB -> 93.821 MB. [2025-06-27T03:58:30.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:58:32.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:58:34.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:58:36.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:58:38.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:58:39.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:58:40.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:58:42.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:58:42.616Z] 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. [2025-06-27T03:58:42.616Z] The best model improves the baseline by 14.52%. [2025-06-27T03:58:42.616Z] Top recommended movies for user id 72: [2025-06-27T03:58:42.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:58:42.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:58:42.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:58:42.616Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:58:42.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:58:42.616Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14608.058 ms) ====== [2025-06-27T03:58:42.616Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-27T03:58:42.616Z] GC before operation: completed in 181.090 ms, heap usage 292.574 MB -> 90.098 MB. [2025-06-27T03:58:45.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:58:47.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:58:50.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:58:52.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:58:53.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:58:55.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:58:56.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:58:58.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:58:58.483Z] 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. [2025-06-27T03:58:58.483Z] The best model improves the baseline by 14.52%. [2025-06-27T03:58:58.483Z] Top recommended movies for user id 72: [2025-06-27T03:58:58.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:58:58.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:58:58.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:58:58.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:58:58.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:58:58.483Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15781.817 ms) ====== [2025-06-27T03:58:58.483Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-27T03:58:58.483Z] GC before operation: completed in 184.302 ms, heap usage 158.803 MB -> 89.958 MB. [2025-06-27T03:59:01.534Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:59:03.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:59:05.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:59:09.460Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:59:09.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:59:11.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:59:12.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:59:14.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:59:14.380Z] 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. [2025-06-27T03:59:14.380Z] The best model improves the baseline by 14.52%. [2025-06-27T03:59:14.380Z] Top recommended movies for user id 72: [2025-06-27T03:59:14.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:59:14.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:59:14.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:59:14.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:59:14.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:59:14.380Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15677.524 ms) ====== [2025-06-27T03:59:14.380Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-27T03:59:14.380Z] GC before operation: completed in 163.978 ms, heap usage 297.293 MB -> 90.009 MB. [2025-06-27T03:59:17.453Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:59:19.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:59:21.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:59:24.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:59:25.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:59:27.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:59:28.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:59:29.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:59:30.304Z] 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. [2025-06-27T03:59:30.304Z] The best model improves the baseline by 14.52%. [2025-06-27T03:59:30.304Z] Top recommended movies for user id 72: [2025-06-27T03:59:30.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:59:30.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:59:30.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:59:30.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:59:30.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:59:30.304Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15323.908 ms) ====== [2025-06-27T03:59:30.304Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-27T03:59:30.304Z] GC before operation: completed in 164.590 ms, heap usage 363.172 MB -> 90.405 MB. [2025-06-27T03:59:32.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:59:34.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:59:37.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:59:39.250Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:59:40.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:59:41.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:59:43.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:59:44.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:59:44.096Z] 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. [2025-06-27T03:59:44.096Z] The best model improves the baseline by 14.52%. [2025-06-27T03:59:45.090Z] Top recommended movies for user id 72: [2025-06-27T03:59:45.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:59:45.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:59:45.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:59:45.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:59:45.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:59:45.090Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14302.924 ms) ====== [2025-06-27T03:59:45.090Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-27T03:59:45.090Z] GC before operation: completed in 164.409 ms, heap usage 452.425 MB -> 90.308 MB. [2025-06-27T03:59:47.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T03:59:49.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T03:59:51.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T03:59:52.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T03:59:54.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T03:59:55.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T03:59:56.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T03:59:58.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T03:59:58.833Z] 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. [2025-06-27T03:59:58.833Z] The best model improves the baseline by 14.52%. [2025-06-27T03:59:58.833Z] Top recommended movies for user id 72: [2025-06-27T03:59:58.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T03:59:58.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T03:59:58.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T03:59:58.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T03:59:58.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T03:59:58.833Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14400.929 ms) ====== [2025-06-27T03:59:58.833Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-27T03:59:58.834Z] GC before operation: completed in 140.282 ms, heap usage 94.960 MB -> 90.296 MB. [2025-06-27T04:00:01.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T04:00:04.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T04:00:07.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T04:00:09.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T04:00:10.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T04:00:12.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T04:00:12.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T04:00:14.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T04:00:14.976Z] 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. [2025-06-27T04:00:14.976Z] The best model improves the baseline by 14.52%. [2025-06-27T04:00:14.976Z] Top recommended movies for user id 72: [2025-06-27T04:00:14.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T04:00:14.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T04:00:14.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T04:00:14.976Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T04:00:14.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T04:00:14.976Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15809.993 ms) ====== [2025-06-27T04:00:14.976Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-27T04:00:14.976Z] GC before operation: completed in 144.888 ms, heap usage 351.074 MB -> 90.133 MB. [2025-06-27T04:00:18.023Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T04:00:19.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T04:00:21.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T04:00:24.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T04:00:25.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T04:00:27.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T04:00:28.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T04:00:29.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T04:00:30.723Z] 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. [2025-06-27T04:00:30.723Z] The best model improves the baseline by 14.52%. [2025-06-27T04:00:30.723Z] Top recommended movies for user id 72: [2025-06-27T04:00:30.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T04:00:30.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T04:00:30.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T04:00:30.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T04:00:30.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T04:00:30.723Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15524.529 ms) ====== [2025-06-27T04:00:30.723Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-27T04:00:30.723Z] GC before operation: completed in 157.688 ms, heap usage 373.474 MB -> 90.353 MB. [2025-06-27T04:00:32.686Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T04:00:34.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T04:00:37.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T04:00:39.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T04:00:40.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T04:00:41.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T04:00:43.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T04:00:44.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T04:00:44.518Z] 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. [2025-06-27T04:00:44.518Z] The best model improves the baseline by 14.52%. [2025-06-27T04:00:44.518Z] Top recommended movies for user id 72: [2025-06-27T04:00:44.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T04:00:44.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T04:00:44.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T04:00:44.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T04:00:44.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T04:00:44.518Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14066.805 ms) ====== [2025-06-27T04:00:45.476Z] ----------------------------------- [2025-06-27T04:00:45.476Z] renaissance-movie-lens_0_PASSED [2025-06-27T04:00:45.477Z] ----------------------------------- [2025-06-27T04:00:45.477Z] [2025-06-27T04:00:45.477Z] TEST TEARDOWN: [2025-06-27T04:00:45.477Z] Nothing to be done for teardown. [2025-06-27T04:00:45.477Z] renaissance-movie-lens_0 Finish Time: Fri Jun 27 04:00:45 2025 Epoch Time (ms): 1750996845039