[2025-12-04T07:17:28.786Z] Running test renaissance-movie-lens_0 ... [2025-12-04T07:17:28.786Z] =============================================== [2025-12-04T07:17:28.786Z] renaissance-movie-lens_0 Start Time: Thu Dec 4 07:17:28 2025 Epoch Time (ms): 1764832648220 [2025-12-04T07:17:28.786Z] variation: NoOptions [2025-12-04T07:17:28.786Z] JVM_OPTIONS: [2025-12-04T07:17:28.786Z] { \ [2025-12-04T07:17:28.786Z] echo ""; echo "TEST SETUP:"; \ [2025-12-04T07:17:28.786Z] echo "Nothing to be done for setup."; \ [2025-12-04T07:17:28.786Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17648318544432/renaissance-movie-lens_0"; \ [2025-12-04T07:17:28.786Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17648318544432/renaissance-movie-lens_0"; \ [2025-12-04T07:17:28.786Z] echo ""; echo "TESTING:"; \ [2025-12-04T07:17:28.787Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/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_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17648318544432/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-04T07:17:28.787Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17648318544432/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-04T07:17:28.787Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-04T07:17:28.787Z] echo "Nothing to be done for teardown."; \ [2025-12-04T07:17:28.787Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17648318544432/TestTargetResult"; [2025-12-04T07:17:28.787Z] [2025-12-04T07:17:28.787Z] TEST SETUP: [2025-12-04T07:17:28.787Z] Nothing to be done for setup. [2025-12-04T07:17:28.787Z] [2025-12-04T07:17:28.787Z] TESTING: [2025-12-04T07:17:34.797Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-04T07:17:42.976Z] 07:17:41.899 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. [2025-12-04T07:17:44.544Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-04T07:17:45.305Z] Training: 60056, validation: 20285, test: 19854 [2025-12-04T07:17:45.305Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-04T07:17:45.305Z] GC before operation: completed in 125.627 ms, heap usage 249.067 MB -> 76.539 MB. [2025-12-04T07:17:52.095Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:17:55.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:17:59.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:18:03.263Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:18:04.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:18:06.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:18:08.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:18:10.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:18:10.406Z] 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. [2025-12-04T07:18:10.406Z] The best model improves the baseline by 14.52%. [2025-12-04T07:18:11.163Z] Top recommended movies for user id 72: [2025-12-04T07:18:11.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:18:11.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:18:11.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:18:11.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:18:11.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:18:11.163Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25568.159 ms) ====== [2025-12-04T07:18:11.163Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-04T07:18:11.163Z] GC before operation: completed in 120.033 ms, heap usage 103.076 MB -> 86.374 MB. [2025-12-04T07:18:14.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:18:17.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:18:20.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:18:22.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:18:25.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:18:26.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:18:28.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:18:30.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:18:30.102Z] 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. [2025-12-04T07:18:30.102Z] The best model improves the baseline by 14.52%. [2025-12-04T07:18:30.856Z] Top recommended movies for user id 72: [2025-12-04T07:18:30.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:18:30.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:18:30.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:18:30.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:18:30.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:18:30.856Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19571.214 ms) ====== [2025-12-04T07:18:30.856Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-04T07:18:30.856Z] GC before operation: completed in 123.967 ms, heap usage 126.957 MB -> 90.557 MB. [2025-12-04T07:18:33.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:18:36.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:18:39.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:18:41.647Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:18:43.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:18:44.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:18:46.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:18:47.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:18:47.895Z] 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. [2025-12-04T07:18:47.895Z] The best model improves the baseline by 14.52%. [2025-12-04T07:18:48.650Z] Top recommended movies for user id 72: [2025-12-04T07:18:48.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:18:48.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:18:48.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:18:48.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:18:48.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:18:48.650Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17628.041 ms) ====== [2025-12-04T07:18:48.650Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-04T07:18:48.650Z] GC before operation: completed in 120.331 ms, heap usage 222.094 MB -> 89.326 MB. [2025-12-04T07:18:51.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:18:53.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:18:55.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:18:59.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:19:00.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:19:02.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:19:04.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:19:05.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:19:05.738Z] 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. [2025-12-04T07:19:05.738Z] The best model improves the baseline by 14.52%. [2025-12-04T07:19:05.738Z] Top recommended movies for user id 72: [2025-12-04T07:19:05.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:19:05.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:19:05.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:19:05.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:19:05.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:19:05.738Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17416.383 ms) ====== [2025-12-04T07:19:05.738Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-04T07:19:05.738Z] GC before operation: completed in 121.796 ms, heap usage 472.785 MB -> 90.034 MB. [2025-12-04T07:19:09.120Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:19:11.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:19:13.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:19:17.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:19:18.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:19:20.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:19:22.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:19:23.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:19:23.843Z] 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. [2025-12-04T07:19:23.843Z] The best model improves the baseline by 14.52%. [2025-12-04T07:19:23.843Z] Top recommended movies for user id 72: [2025-12-04T07:19:23.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:19:23.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:19:23.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:19:23.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:19:23.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:19:23.843Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18114.952 ms) ====== [2025-12-04T07:19:23.843Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-04T07:19:23.843Z] GC before operation: completed in 116.928 ms, heap usage 545.181 MB -> 93.201 MB. [2025-12-04T07:19:27.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:19:29.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:19:32.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:19:34.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:19:36.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:19:37.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:19:39.315Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:19:40.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:19:41.330Z] 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. [2025-12-04T07:19:41.330Z] The best model improves the baseline by 14.52%. [2025-12-04T07:19:41.330Z] Top recommended movies for user id 72: [2025-12-04T07:19:41.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:19:41.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:19:41.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:19:41.330Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:19:41.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:19:41.330Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17067.823 ms) ====== [2025-12-04T07:19:41.330Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-04T07:19:41.330Z] GC before operation: completed in 127.043 ms, heap usage 260.672 MB -> 90.045 MB. [2025-12-04T07:19:43.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:19:46.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:19:48.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:19:51.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:19:52.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:19:54.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:19:55.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:19:57.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:19:57.304Z] 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. [2025-12-04T07:19:57.304Z] The best model improves the baseline by 14.52%. [2025-12-04T07:19:57.304Z] Top recommended movies for user id 72: [2025-12-04T07:19:57.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:19:57.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:19:57.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:19:57.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:19:57.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:19:57.304Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16135.557 ms) ====== [2025-12-04T07:19:57.304Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-04T07:19:57.304Z] GC before operation: completed in 113.485 ms, heap usage 203.644 MB -> 89.772 MB. [2025-12-04T07:20:00.686Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:20:03.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:20:05.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:20:08.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:20:09.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:20:11.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:20:12.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:20:14.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:20:14.405Z] 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. [2025-12-04T07:20:14.405Z] The best model improves the baseline by 14.52%. [2025-12-04T07:20:14.405Z] Top recommended movies for user id 72: [2025-12-04T07:20:14.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:20:14.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:20:14.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:20:14.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:20:14.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:20:14.405Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16708.213 ms) ====== [2025-12-04T07:20:14.405Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-04T07:20:14.405Z] GC before operation: completed in 114.144 ms, heap usage 503.166 MB -> 90.425 MB. [2025-12-04T07:20:16.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:20:19.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:20:21.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:20:24.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:20:26.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:20:27.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:20:29.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:20:30.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:20:30.623Z] 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. [2025-12-04T07:20:31.376Z] The best model improves the baseline by 14.52%. [2025-12-04T07:20:31.376Z] Top recommended movies for user id 72: [2025-12-04T07:20:31.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:20:31.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:20:31.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:20:31.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:20:31.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:20:31.376Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16671.394 ms) ====== [2025-12-04T07:20:31.376Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-04T07:20:31.376Z] GC before operation: completed in 118.220 ms, heap usage 387.034 MB -> 90.275 MB. [2025-12-04T07:20:33.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:20:36.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:20:38.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:20:41.120Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:20:41.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:20:43.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:20:45.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:20:46.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:20:46.695Z] 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. [2025-12-04T07:20:46.695Z] The best model improves the baseline by 14.52%. [2025-12-04T07:20:46.695Z] Top recommended movies for user id 72: [2025-12-04T07:20:46.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:20:46.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:20:46.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:20:46.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:20:46.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:20:46.695Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15646.452 ms) ====== [2025-12-04T07:20:46.695Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-04T07:20:46.695Z] GC before operation: completed in 113.505 ms, heap usage 137.870 MB -> 90.004 MB. [2025-12-04T07:20:50.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:20:51.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:20:55.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:20:56.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:20:58.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:20:59.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:21:01.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:21:02.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:21:02.839Z] 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. [2025-12-04T07:21:02.839Z] The best model improves the baseline by 14.52%. [2025-12-04T07:21:03.597Z] Top recommended movies for user id 72: [2025-12-04T07:21:03.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:21:03.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:21:03.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:21:03.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:21:03.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:21:03.597Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16282.205 ms) ====== [2025-12-04T07:21:03.597Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-04T07:21:03.597Z] GC before operation: completed in 115.532 ms, heap usage 268.150 MB -> 90.058 MB. [2025-12-04T07:21:06.540Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:21:08.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:21:10.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:21:12.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:21:14.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:21:15.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:21:16.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:21:18.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:21:19.207Z] 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. [2025-12-04T07:21:19.207Z] The best model improves the baseline by 14.52%. [2025-12-04T07:21:19.207Z] Top recommended movies for user id 72: [2025-12-04T07:21:19.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:21:19.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:21:19.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:21:19.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:21:19.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:21:19.207Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15607.030 ms) ====== [2025-12-04T07:21:19.207Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-04T07:21:19.207Z] GC before operation: completed in 111.584 ms, heap usage 98.793 MB -> 90.102 MB. [2025-12-04T07:21:21.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:21:24.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:21:26.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:21:28.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:21:29.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:21:31.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:21:33.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:21:34.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:21:34.594Z] 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. [2025-12-04T07:21:34.594Z] The best model improves the baseline by 14.52%. [2025-12-04T07:21:34.594Z] Top recommended movies for user id 72: [2025-12-04T07:21:34.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:21:34.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:21:34.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:21:34.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:21:34.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:21:34.595Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15620.734 ms) ====== [2025-12-04T07:21:34.595Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-04T07:21:34.595Z] GC before operation: completed in 115.652 ms, heap usage 236.630 MB -> 90.186 MB. [2025-12-04T07:21:37.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:21:39.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:21:42.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:21:44.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:21:46.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:21:48.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:21:48.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:21:50.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:21:50.417Z] 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. [2025-12-04T07:21:50.417Z] The best model improves the baseline by 14.52%. [2025-12-04T07:21:50.417Z] Top recommended movies for user id 72: [2025-12-04T07:21:50.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:21:50.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:21:50.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:21:50.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:21:50.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:21:50.418Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15742.802 ms) ====== [2025-12-04T07:21:50.418Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-04T07:21:50.418Z] GC before operation: completed in 111.787 ms, heap usage 343.354 MB -> 90.225 MB. [2025-12-04T07:21:52.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:21:55.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:21:57.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:22:00.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:22:01.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:22:02.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:22:04.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:22:05.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:22:05.679Z] 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. [2025-12-04T07:22:05.679Z] The best model improves the baseline by 14.52%. [2025-12-04T07:22:05.679Z] Top recommended movies for user id 72: [2025-12-04T07:22:05.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:22:05.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:22:05.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:22:05.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:22:05.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:22:05.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15263.256 ms) ====== [2025-12-04T07:22:05.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-04T07:22:06.431Z] GC before operation: completed in 124.766 ms, heap usage 511.406 MB -> 90.703 MB. [2025-12-04T07:22:08.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:22:10.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:22:12.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:22:15.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:22:16.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:22:17.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:22:20.069Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:22:20.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:22:21.591Z] 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. [2025-12-04T07:22:21.591Z] The best model improves the baseline by 14.52%. [2025-12-04T07:22:21.591Z] Top recommended movies for user id 72: [2025-12-04T07:22:21.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:22:21.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:22:21.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:22:21.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:22:21.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:22:21.591Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15495.649 ms) ====== [2025-12-04T07:22:21.591Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-04T07:22:21.591Z] GC before operation: completed in 126.499 ms, heap usage 365.931 MB -> 90.357 MB. [2025-12-04T07:22:24.062Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:22:26.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:22:29.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:22:31.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:22:33.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:22:35.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:22:36.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:22:37.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:22:38.271Z] 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. [2025-12-04T07:22:38.271Z] The best model improves the baseline by 14.52%. [2025-12-04T07:22:38.271Z] Top recommended movies for user id 72: [2025-12-04T07:22:38.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:22:38.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:22:38.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:22:38.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:22:38.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:22:38.271Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16413.129 ms) ====== [2025-12-04T07:22:38.271Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-04T07:22:38.271Z] GC before operation: completed in 112.523 ms, heap usage 225.835 MB -> 90.206 MB. [2025-12-04T07:22:40.706Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:22:43.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:22:45.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:22:48.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:22:49.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:22:51.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:22:52.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:22:54.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:22:54.307Z] 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. [2025-12-04T07:22:54.307Z] The best model improves the baseline by 14.52%. [2025-12-04T07:22:54.307Z] Top recommended movies for user id 72: [2025-12-04T07:22:54.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:22:54.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:22:54.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:22:54.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:22:54.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:22:54.307Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16104.051 ms) ====== [2025-12-04T07:22:54.307Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-04T07:22:54.307Z] GC before operation: completed in 125.376 ms, heap usage 467.495 MB -> 90.439 MB. [2025-12-04T07:22:56.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:22:59.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:23:01.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:23:04.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:23:04.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:23:06.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:23:07.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:23:10.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:23:10.104Z] 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. [2025-12-04T07:23:10.104Z] The best model improves the baseline by 14.52%. [2025-12-04T07:23:10.104Z] Top recommended movies for user id 72: [2025-12-04T07:23:10.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:23:10.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:23:10.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:23:10.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:23:10.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:23:10.104Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15280.943 ms) ====== [2025-12-04T07:23:10.104Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-04T07:23:10.104Z] GC before operation: completed in 115.975 ms, heap usage 409.501 MB -> 90.443 MB. [2025-12-04T07:23:12.541Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T07:23:14.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T07:23:17.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T07:23:19.847Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T07:23:21.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T07:23:22.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T07:23:24.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T07:23:26.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T07:23:26.132Z] 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. [2025-12-04T07:23:26.132Z] The best model improves the baseline by 14.52%. [2025-12-04T07:23:26.132Z] Top recommended movies for user id 72: [2025-12-04T07:23:26.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-04T07:23:26.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-04T07:23:26.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-04T07:23:26.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-04T07:23:26.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-04T07:23:26.132Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16205.622 ms) ====== [2025-12-04T07:23:26.527Z] ----------------------------------- [2025-12-04T07:23:26.527Z] renaissance-movie-lens_0_PASSED [2025-12-04T07:23:26.527Z] ----------------------------------- [2025-12-04T07:23:26.527Z] [2025-12-04T07:23:26.527Z] TEST TEARDOWN: [2025-12-04T07:23:26.527Z] Nothing to be done for teardown. [2025-12-04T07:23:26.527Z] renaissance-movie-lens_0 Finish Time: Thu Dec 4 07:23:26 2025 Epoch Time (ms): 1764833006112