[2025-05-23T00:09:37.562Z] Running test renaissance-movie-lens_0 ... [2025-05-23T00:09:37.562Z] =============================================== [2025-05-23T00:09:37.895Z] renaissance-movie-lens_0 Start Time: Fri May 23 00:09:37 2025 Epoch Time (ms): 1747958977583 [2025-05-23T00:09:37.895Z] variation: NoOptions [2025-05-23T00:09:37.895Z] JVM_OPTIONS: [2025-05-23T00:09:37.895Z] { \ [2025-05-23T00:09:37.895Z] echo ""; echo "TEST SETUP:"; \ [2025-05-23T00:09:37.895Z] echo "Nothing to be done for setup."; \ [2025-05-23T00:09:37.896Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17479545628644/renaissance-movie-lens_0"; \ [2025-05-23T00:09:37.896Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17479545628644/renaissance-movie-lens_0"; \ [2025-05-23T00:09:37.896Z] echo ""; echo "TESTING:"; \ [2025-05-23T00:09:37.896Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17479545628644/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-23T00:09:37.896Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17479545628644/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-23T00:09:37.896Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-23T00:09:37.896Z] echo "Nothing to be done for teardown."; \ [2025-05-23T00:09:37.896Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17479545628644/TestTargetResult"; [2025-05-23T00:09:37.896Z] [2025-05-23T00:09:37.896Z] TEST SETUP: [2025-05-23T00:09:37.896Z] Nothing to be done for setup. [2025-05-23T00:09:37.896Z] [2025-05-23T00:09:37.896Z] TESTING: [2025-05-23T00:09:40.136Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-05-23T00:09:40.136Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17479545628644/renaissance-movie-lens_0/launcher-000938-8484662166818630484/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-05-23T00:09:40.136Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-05-23T00:09:40.136Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-05-23T00:10:03.146Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-23T00:10:36.735Z] 00:10:31.268 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. [2025-05-23T00:10:41.466Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-23T00:10:43.711Z] Training: 60056, validation: 20285, test: 19854 [2025-05-23T00:10:43.711Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-23T00:10:44.048Z] GC before operation: completed in 580.424 ms, heap usage 373.179 MB -> 76.210 MB. [2025-05-23T00:11:11.780Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:11:22.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:11:36.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:11:46.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:11:54.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:12:00.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:12:05.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:12:11.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:12:12.578Z] 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. [2025-05-23T00:12:12.912Z] The best model improves the baseline by 14.52%. [2025-05-23T00:12:14.061Z] Top recommended movies for user id 72: [2025-05-23T00:12:14.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:12:14.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:12:14.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:12:14.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:12:14.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:12:14.061Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90001.798 ms) ====== [2025-05-23T00:12:14.061Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-23T00:12:14.788Z] GC before operation: completed in 1039.673 ms, heap usage 752.146 MB -> 92.874 MB. [2025-05-23T00:12:25.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:12:36.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:12:47.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:12:56.058Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:13:00.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:13:06.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:13:14.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:13:19.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:13:20.680Z] 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. [2025-05-23T00:13:20.680Z] The best model improves the baseline by 14.52%. [2025-05-23T00:13:21.384Z] Top recommended movies for user id 72: [2025-05-23T00:13:21.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:13:21.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:13:21.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:13:21.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:13:21.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:13:21.384Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66357.031 ms) ====== [2025-05-23T00:13:21.384Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-23T00:13:22.097Z] GC before operation: completed in 788.364 ms, heap usage 138.283 MB -> 88.599 MB. [2025-05-23T00:13:32.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:13:41.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:13:50.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:13:59.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:14:05.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:14:11.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:14:17.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:14:21.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:14:23.121Z] 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. [2025-05-23T00:14:23.448Z] The best model improves the baseline by 14.52%. [2025-05-23T00:14:24.149Z] Top recommended movies for user id 72: [2025-05-23T00:14:24.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:14:24.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:14:24.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:14:24.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:14:24.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:14:24.149Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62032.211 ms) ====== [2025-05-23T00:14:24.149Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-23T00:14:24.855Z] GC before operation: completed in 748.635 ms, heap usage 121.399 MB -> 89.324 MB. [2025-05-23T00:14:35.642Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:14:42.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:14:53.674Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:15:02.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:15:07.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:15:13.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:15:18.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:15:23.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:15:23.906Z] 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. [2025-05-23T00:15:24.234Z] The best model improves the baseline by 14.52%. [2025-05-23T00:15:24.934Z] Top recommended movies for user id 72: [2025-05-23T00:15:24.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:15:24.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:15:24.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:15:24.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:15:24.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:15:24.935Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59847.668 ms) ====== [2025-05-23T00:15:24.935Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-23T00:15:25.639Z] GC before operation: completed in 777.536 ms, heap usage 595.191 MB -> 93.379 MB. [2025-05-23T00:15:34.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:15:43.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:15:52.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:16:02.259Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:16:07.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:16:11.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:16:17.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:16:22.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:16:22.766Z] 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. [2025-05-23T00:16:22.766Z] The best model improves the baseline by 14.52%. [2025-05-23T00:16:23.468Z] Top recommended movies for user id 72: [2025-05-23T00:16:23.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:16:23.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:16:23.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:16:23.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:16:23.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:16:23.468Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57965.960 ms) ====== [2025-05-23T00:16:23.468Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-23T00:16:24.181Z] GC before operation: completed in 861.989 ms, heap usage 894.111 MB -> 93.919 MB. [2025-05-23T00:16:34.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:16:42.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:16:49.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:16:57.113Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:17:02.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:17:06.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:17:12.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:17:17.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:17:17.709Z] 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. [2025-05-23T00:17:18.035Z] The best model improves the baseline by 14.52%. [2025-05-23T00:17:18.360Z] Top recommended movies for user id 72: [2025-05-23T00:17:18.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:17:18.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:17:18.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:17:18.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:17:18.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:17:18.360Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54140.749 ms) ====== [2025-05-23T00:17:18.360Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-23T00:17:19.531Z] GC before operation: completed in 803.163 ms, heap usage 557.443 MB -> 93.670 MB. [2025-05-23T00:17:28.394Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:17:35.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:17:43.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:17:50.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:17:55.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:17:59.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:18:04.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:18:10.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:18:10.372Z] 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. [2025-05-23T00:18:10.372Z] The best model improves the baseline by 14.52%. [2025-05-23T00:18:11.076Z] Top recommended movies for user id 72: [2025-05-23T00:18:11.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:18:11.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:18:11.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:18:11.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:18:11.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:18:11.076Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51740.287 ms) ====== [2025-05-23T00:18:11.076Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-23T00:18:11.877Z] GC before operation: completed in 835.456 ms, heap usage 555.052 MB -> 90.394 MB. [2025-05-23T00:18:20.820Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:18:28.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:18:36.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:18:44.176Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:18:48.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:18:52.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:18:58.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:19:02.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:19:03.567Z] 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. [2025-05-23T00:19:03.567Z] The best model improves the baseline by 14.52%. [2025-05-23T00:19:04.287Z] Top recommended movies for user id 72: [2025-05-23T00:19:04.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:19:04.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:19:04.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:19:04.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:19:04.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:19:04.287Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (52272.337 ms) ====== [2025-05-23T00:19:04.287Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-23T00:19:05.015Z] GC before operation: completed in 791.603 ms, heap usage 208.755 MB -> 90.128 MB. [2025-05-23T00:19:13.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:19:21.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:19:28.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:19:35.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:19:40.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:19:44.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:19:48.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:19:53.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:19:54.390Z] 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. [2025-05-23T00:19:54.390Z] The best model improves the baseline by 14.52%. [2025-05-23T00:19:55.090Z] Top recommended movies for user id 72: [2025-05-23T00:19:55.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:19:55.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:19:55.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:19:55.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:19:55.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:19:55.090Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50271.370 ms) ====== [2025-05-23T00:19:55.090Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-23T00:19:56.248Z] GC before operation: completed in 796.238 ms, heap usage 122.198 MB -> 90.450 MB. [2025-05-23T00:20:05.118Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:20:12.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:20:19.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:20:27.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:20:31.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:20:36.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:20:41.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:20:46.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:20:46.870Z] 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. [2025-05-23T00:20:46.870Z] The best model improves the baseline by 14.52%. [2025-05-23T00:20:47.578Z] Top recommended movies for user id 72: [2025-05-23T00:20:47.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:20:47.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:20:47.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:20:47.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:20:47.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:20:47.578Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51426.821 ms) ====== [2025-05-23T00:20:47.578Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-23T00:20:48.294Z] GC before operation: completed in 840.232 ms, heap usage 1.295 GB -> 96.010 MB. [2025-05-23T00:20:57.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:21:04.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:21:11.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:21:18.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:21:23.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:21:28.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:21:33.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:21:38.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:21:38.927Z] 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. [2025-05-23T00:21:38.927Z] The best model improves the baseline by 14.52%. [2025-05-23T00:21:39.642Z] Top recommended movies for user id 72: [2025-05-23T00:21:39.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:21:39.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:21:39.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:21:39.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:21:39.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:21:39.642Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51210.699 ms) ====== [2025-05-23T00:21:39.642Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-23T00:21:40.377Z] GC before operation: completed in 795.908 ms, heap usage 500.894 MB -> 90.367 MB. [2025-05-23T00:21:49.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:21:55.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:22:04.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:22:10.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:22:14.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:22:19.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:22:24.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:22:28.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:22:29.314Z] 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. [2025-05-23T00:22:29.641Z] The best model improves the baseline by 14.52%. [2025-05-23T00:22:29.966Z] Top recommended movies for user id 72: [2025-05-23T00:22:29.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:22:29.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:22:29.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:22:29.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:22:29.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:22:29.966Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49812.757 ms) ====== [2025-05-23T00:22:29.966Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-23T00:22:31.130Z] GC before operation: completed in 809.608 ms, heap usage 263.287 MB -> 90.220 MB. [2025-05-23T00:22:38.805Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:22:46.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:22:54.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:23:00.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:23:05.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:23:11.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:23:15.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:23:20.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:23:21.278Z] 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. [2025-05-23T00:23:21.278Z] The best model improves the baseline by 14.52%. [2025-05-23T00:23:21.604Z] Top recommended movies for user id 72: [2025-05-23T00:23:21.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:23:21.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:23:21.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:23:21.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:23:21.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:23:21.604Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50845.712 ms) ====== [2025-05-23T00:23:21.604Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-23T00:23:22.770Z] GC before operation: completed in 799.146 ms, heap usage 377.321 MB -> 90.535 MB. [2025-05-23T00:23:31.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:23:38.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:23:46.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:23:53.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:23:58.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:24:03.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:24:07.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:24:12.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:24:12.793Z] 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. [2025-05-23T00:24:12.793Z] The best model improves the baseline by 14.52%. [2025-05-23T00:24:13.497Z] Top recommended movies for user id 72: [2025-05-23T00:24:13.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:24:13.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:24:13.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:24:13.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:24:13.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:24:13.497Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50907.389 ms) ====== [2025-05-23T00:24:13.497Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-23T00:24:14.217Z] GC before operation: completed in 814.020 ms, heap usage 447.645 MB -> 90.444 MB. [2025-05-23T00:24:23.073Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:24:30.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:24:39.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:24:46.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:24:51.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:24:56.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:25:01.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:25:05.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:25:06.490Z] 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. [2025-05-23T00:25:06.490Z] The best model improves the baseline by 14.52%. [2025-05-23T00:25:07.377Z] Top recommended movies for user id 72: [2025-05-23T00:25:07.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:25:07.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:25:07.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:25:07.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:25:07.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:25:07.377Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53066.327 ms) ====== [2025-05-23T00:25:07.377Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-23T00:25:08.098Z] GC before operation: completed in 783.242 ms, heap usage 126.651 MB -> 90.242 MB. [2025-05-23T00:25:16.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:25:25.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:25:33.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:25:41.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:25:45.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:25:50.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:25:56.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:26:01.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:26:02.308Z] 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. [2025-05-23T00:26:02.308Z] The best model improves the baseline by 14.52%. [2025-05-23T00:26:03.013Z] Top recommended movies for user id 72: [2025-05-23T00:26:03.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:26:03.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:26:03.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:26:03.013Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:26:03.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:26:03.013Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54864.535 ms) ====== [2025-05-23T00:26:03.013Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-23T00:26:03.731Z] GC before operation: completed in 777.081 ms, heap usage 342.575 MB -> 90.413 MB. [2025-05-23T00:26:12.663Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:26:21.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:26:29.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:26:37.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:26:41.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:26:46.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:26:52.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:26:56.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:26:56.820Z] 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. [2025-05-23T00:26:56.820Z] The best model improves the baseline by 14.52%. [2025-05-23T00:26:57.516Z] Top recommended movies for user id 72: [2025-05-23T00:26:57.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:26:57.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:26:57.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:26:57.516Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:26:57.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:26:57.516Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53754.443 ms) ====== [2025-05-23T00:26:57.516Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-23T00:26:58.235Z] GC before operation: completed in 857.769 ms, heap usage 778.013 MB -> 94.305 MB. [2025-05-23T00:27:07.116Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:27:14.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:27:21.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:27:28.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:27:33.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:27:37.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:27:42.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:27:46.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:27:47.289Z] 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. [2025-05-23T00:27:47.289Z] The best model improves the baseline by 14.52%. [2025-05-23T00:27:47.995Z] Top recommended movies for user id 72: [2025-05-23T00:27:47.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:27:47.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:27:47.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:27:47.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:27:47.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:27:47.995Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49550.469 ms) ====== [2025-05-23T00:27:47.995Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-23T00:27:48.737Z] GC before operation: completed in 815.122 ms, heap usage 547.026 MB -> 90.651 MB. [2025-05-23T00:27:57.625Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:28:04.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:28:12.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:28:18.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:28:23.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:28:27.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:28:32.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:28:37.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:28:37.708Z] 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. [2025-05-23T00:28:37.708Z] The best model improves the baseline by 14.52%. [2025-05-23T00:28:38.420Z] Top recommended movies for user id 72: [2025-05-23T00:28:38.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:28:38.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:28:38.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:28:38.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:28:38.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:28:38.420Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49604.195 ms) ====== [2025-05-23T00:28:38.420Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-23T00:28:39.141Z] GC before operation: completed in 805.310 ms, heap usage 372.948 MB -> 90.550 MB. [2025-05-23T00:28:48.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:28:55.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:29:02.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:29:09.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:29:14.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:29:19.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:29:24.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:29:28.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:29:29.189Z] 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. [2025-05-23T00:29:29.189Z] The best model improves the baseline by 14.52%. [2025-05-23T00:29:29.887Z] Top recommended movies for user id 72: [2025-05-23T00:29:29.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-23T00:29:29.887Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-23T00:29:29.887Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-23T00:29:29.887Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-23T00:29:29.887Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-23T00:29:29.887Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50880.840 ms) ====== [2025-05-23T00:29:33.651Z] ----------------------------------- [2025-05-23T00:29:33.651Z] renaissance-movie-lens_0_PASSED [2025-05-23T00:29:33.651Z] ----------------------------------- [2025-05-23T00:29:33.651Z] [2025-05-23T00:29:33.651Z] TEST TEARDOWN: [2025-05-23T00:29:33.651Z] Nothing to be done for teardown. [2025-05-23T00:29:33.651Z] renaissance-movie-lens_0 Finish Time: Fri May 23 00:29:33 2025 Epoch Time (ms): 1747960173095