[2025-04-16T08:02:03.811Z] Running test renaissance-movie-lens_0 ... [2025-04-16T08:02:03.811Z] =============================================== [2025-04-16T08:02:03.811Z] renaissance-movie-lens_0 Start Time: Wed Apr 16 08:02:03 2025 Epoch Time (ms): 1744790523486 [2025-04-16T08:02:03.811Z] variation: NoOptions [2025-04-16T08:02:03.811Z] JVM_OPTIONS: [2025-04-16T08:02:03.811Z] { \ [2025-04-16T08:02:03.811Z] echo ""; echo "TEST SETUP:"; \ [2025-04-16T08:02:03.811Z] echo "Nothing to be done for setup."; \ [2025-04-16T08:02:03.811Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17447859112037/renaissance-movie-lens_0"; \ [2025-04-16T08:02:03.811Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17447859112037/renaissance-movie-lens_0"; \ [2025-04-16T08:02:03.811Z] echo ""; echo "TESTING:"; \ [2025-04-16T08:02:03.811Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17447859112037/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-16T08:02:03.811Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17447859112037/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-16T08:02:03.811Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-16T08:02:03.811Z] echo "Nothing to be done for teardown."; \ [2025-04-16T08:02:03.811Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17447859112037/TestTargetResult"; [2025-04-16T08:02:03.811Z] [2025-04-16T08:02:03.811Z] TEST SETUP: [2025-04-16T08:02:03.811Z] Nothing to be done for setup. [2025-04-16T08:02:03.811Z] [2025-04-16T08:02:03.811Z] TESTING: [2025-04-16T08:02:18.810Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-04-16T08:02:53.995Z] 08:02:49.290 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-04-16T08:02:55.538Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-16T08:02:57.089Z] Training: 60056, validation: 20285, test: 19854 [2025-04-16T08:02:57.089Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-16T08:02:57.089Z] GC before operation: completed in 369.328 ms, heap usage 96.371 MB -> 74.441 MB. [2025-04-16T08:03:22.218Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:03:33.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:03:47.144Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:03:57.759Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:04:10.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:04:17.866Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:04:22.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:04:28.708Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:04:28.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:04:28.708Z] The best model improves the baseline by 14.34%. [2025-04-16T08:04:29.432Z] Top recommended movies for user id 72: [2025-04-16T08:04:29.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:04:29.432Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:04:29.432Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:04:29.432Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:04:29.432Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:04:29.432Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (92163.378 ms) ====== [2025-04-16T08:04:29.432Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-16T08:04:31.347Z] GC before operation: completed in 1706.684 ms, heap usage 224.771 MB -> 84.937 MB. [2025-04-16T08:04:42.416Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:04:54.967Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:05:02.732Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:05:10.752Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:05:19.151Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:05:24.427Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:05:27.519Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:05:35.740Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:05:36.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:05:36.578Z] The best model improves the baseline by 14.34%. [2025-04-16T08:05:36.578Z] Top recommended movies for user id 72: [2025-04-16T08:05:36.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:05:36.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:05:36.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:05:36.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:05:36.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:05:36.578Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65354.697 ms) ====== [2025-04-16T08:05:36.578Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-16T08:05:37.601Z] GC before operation: completed in 1208.828 ms, heap usage 288.386 MB -> 86.819 MB. [2025-04-16T08:05:49.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:06:08.035Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:06:17.668Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:06:29.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:06:35.378Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:06:40.616Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:06:51.036Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:06:58.090Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:06:58.820Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:06:58.820Z] The best model improves the baseline by 14.34%. [2025-04-16T08:06:58.820Z] Top recommended movies for user id 72: [2025-04-16T08:06:58.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:06:58.820Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:06:58.820Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:06:58.820Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:06:58.820Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:06:58.820Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (81274.611 ms) ====== [2025-04-16T08:06:58.820Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-16T08:06:59.473Z] GC before operation: completed in 376.375 ms, heap usage 357.863 MB -> 87.487 MB. [2025-04-16T08:07:10.500Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:07:19.954Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:07:30.808Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:07:40.235Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:07:44.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:07:50.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:07:53.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:07:58.038Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:07:58.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:07:58.916Z] The best model improves the baseline by 14.34%. [2025-04-16T08:08:00.555Z] Top recommended movies for user id 72: [2025-04-16T08:08:00.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:08:00.556Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:08:00.556Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:08:00.556Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:08:00.556Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:08:00.556Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60737.230 ms) ====== [2025-04-16T08:08:00.556Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-16T08:08:01.432Z] GC before operation: completed in 1307.816 ms, heap usage 228.621 MB -> 87.650 MB. [2025-04-16T08:08:20.569Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:08:30.022Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:08:39.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:08:47.241Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:08:52.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:08:57.343Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:09:05.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:09:10.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:09:11.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:09:11.552Z] The best model improves the baseline by 14.34%. [2025-04-16T08:09:12.266Z] Top recommended movies for user id 72: [2025-04-16T08:09:12.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:09:12.266Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:09:12.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:09:12.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:09:12.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:09:12.266Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (70727.864 ms) ====== [2025-04-16T08:09:12.266Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-16T08:09:12.933Z] GC before operation: completed in 453.278 ms, heap usage 342.290 MB -> 87.694 MB. [2025-04-16T08:09:24.194Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:09:37.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:09:45.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:09:51.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:09:56.496Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:10:00.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:10:05.767Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:10:13.475Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:10:14.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:10:14.171Z] The best model improves the baseline by 14.34%. [2025-04-16T08:10:15.049Z] Top recommended movies for user id 72: [2025-04-16T08:10:15.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:10:15.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:10:15.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:10:15.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:10:15.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:10:15.049Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (62322.911 ms) ====== [2025-04-16T08:10:15.049Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-16T08:10:15.771Z] GC before operation: completed in 921.655 ms, heap usage 310.043 MB -> 87.928 MB. [2025-04-16T08:10:29.284Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:10:37.340Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:10:46.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:10:54.393Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:10:57.911Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:11:03.790Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:11:12.608Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:11:23.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:11:28.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:11:29.989Z] The best model improves the baseline by 14.34%. [2025-04-16T08:11:31.008Z] Top recommended movies for user id 72: [2025-04-16T08:11:31.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:11:31.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:11:31.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:11:31.008Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:11:31.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:11:31.008Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (74738.042 ms) ====== [2025-04-16T08:11:31.008Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-16T08:11:31.832Z] GC before operation: completed in 1335.823 ms, heap usage 211.362 MB -> 87.730 MB. [2025-04-16T08:11:45.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:11:55.678Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:12:05.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:12:12.009Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:12:16.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:12:20.877Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:12:27.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:12:34.457Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:12:35.161Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:12:35.161Z] The best model improves the baseline by 14.34%. [2025-04-16T08:12:35.161Z] Top recommended movies for user id 72: [2025-04-16T08:12:35.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:12:35.161Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:12:35.161Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:12:35.161Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:12:35.161Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:12:35.161Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (63507.931 ms) ====== [2025-04-16T08:12:35.161Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-16T08:12:35.825Z] GC before operation: completed in 293.820 ms, heap usage 347.830 MB -> 88.295 MB. [2025-04-16T08:12:47.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:12:54.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:13:03.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:13:17.182Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:13:22.413Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:13:31.196Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:13:39.777Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:13:43.956Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:13:43.956Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:13:43.956Z] The best model improves the baseline by 14.34%. [2025-04-16T08:13:44.767Z] Top recommended movies for user id 72: [2025-04-16T08:13:44.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:13:44.767Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:13:44.767Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:13:44.767Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:13:44.767Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:13:44.767Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (68948.066 ms) ====== [2025-04-16T08:13:44.767Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-16T08:13:45.507Z] GC before operation: completed in 425.351 ms, heap usage 161.729 MB -> 87.810 MB. [2025-04-16T08:13:53.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:13:59.798Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:14:14.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:14:22.140Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:14:27.863Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:14:31.879Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:14:38.340Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:14:42.617Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:14:43.502Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:14:43.502Z] The best model improves the baseline by 14.34%. [2025-04-16T08:14:43.502Z] Top recommended movies for user id 72: [2025-04-16T08:14:43.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:14:43.502Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:14:43.502Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:14:43.502Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:14:43.502Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:14:43.502Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (58628.680 ms) ====== [2025-04-16T08:14:43.502Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-16T08:14:44.339Z] GC before operation: completed in 473.616 ms, heap usage 363.719 MB -> 88.250 MB. [2025-04-16T08:15:03.024Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:15:09.845Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:15:17.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:15:25.249Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:15:33.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:15:38.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:15:46.039Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:15:56.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:15:57.025Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:15:57.025Z] The best model improves the baseline by 14.34%. [2025-04-16T08:15:57.682Z] Top recommended movies for user id 72: [2025-04-16T08:15:57.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:15:57.683Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:15:57.683Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:15:57.683Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:15:57.683Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:15:57.683Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (73283.263 ms) ====== [2025-04-16T08:15:57.683Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-16T08:15:57.683Z] GC before operation: completed in 389.046 ms, heap usage 344.711 MB -> 88.001 MB. [2025-04-16T08:16:11.736Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:16:31.749Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:16:41.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:16:46.537Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:16:51.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:16:56.527Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:17:00.619Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:17:05.739Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:17:08.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:17:08.939Z] The best model improves the baseline by 14.34%. [2025-04-16T08:17:09.636Z] Top recommended movies for user id 72: [2025-04-16T08:17:09.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:17:09.636Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:17:09.636Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:17:09.636Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:17:09.636Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:17:09.636Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (71510.006 ms) ====== [2025-04-16T08:17:09.636Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-16T08:17:09.636Z] GC before operation: completed in 303.585 ms, heap usage 123.929 MB -> 87.862 MB. [2025-04-16T08:17:23.789Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:17:35.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:17:48.070Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:17:57.278Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:18:04.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:18:11.497Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:18:16.781Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:18:23.711Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:18:24.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:18:25.214Z] The best model improves the baseline by 14.34%. [2025-04-16T08:18:25.214Z] Top recommended movies for user id 72: [2025-04-16T08:18:25.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:18:25.214Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:18:25.214Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:18:25.214Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:18:25.214Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:18:25.214Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (75666.113 ms) ====== [2025-04-16T08:18:25.214Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-16T08:18:25.905Z] GC before operation: completed in 431.692 ms, heap usage 353.674 MB -> 84.329 MB. [2025-04-16T08:18:35.313Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:18:42.781Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:18:49.268Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:18:56.699Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:19:01.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:19:05.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:19:10.919Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:19:21.388Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:19:22.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:19:22.058Z] The best model improves the baseline by 14.34%. [2025-04-16T08:19:22.058Z] Top recommended movies for user id 72: [2025-04-16T08:19:22.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:19:22.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:19:22.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:19:22.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:19:22.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:19:22.058Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (56290.625 ms) ====== [2025-04-16T08:19:22.058Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-16T08:19:22.704Z] GC before operation: completed in 426.792 ms, heap usage 104.506 MB -> 84.117 MB. [2025-04-16T08:19:28.782Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:19:33.770Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:19:45.562Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:19:52.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:19:56.915Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:20:01.088Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:20:06.391Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:20:09.450Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:20:10.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:20:10.774Z] The best model improves the baseline by 14.34%. [2025-04-16T08:20:10.774Z] Top recommended movies for user id 72: [2025-04-16T08:20:10.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:20:10.774Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:20:10.774Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:20:10.774Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:20:10.774Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:20:10.774Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48298.253 ms) ====== [2025-04-16T08:20:10.775Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-16T08:20:11.430Z] GC before operation: completed in 331.142 ms, heap usage 455.512 MB -> 83.911 MB. [2025-04-16T08:20:26.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:20:33.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:20:41.632Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:20:52.998Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:21:03.471Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:21:16.125Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:21:24.313Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:21:34.105Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:21:34.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:21:34.105Z] The best model improves the baseline by 14.34%. [2025-04-16T08:21:34.105Z] Top recommended movies for user id 72: [2025-04-16T08:21:34.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:21:34.105Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:21:34.105Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:21:34.105Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:21:34.105Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:21:34.105Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (83141.809 ms) ====== [2025-04-16T08:21:34.105Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-16T08:21:34.864Z] GC before operation: completed in 613.571 ms, heap usage 274.610 MB -> 83.431 MB. [2025-04-16T08:21:42.831Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:21:50.552Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:21:59.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:22:07.602Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:22:13.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:22:19.691Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:22:24.753Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:22:30.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:22:30.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:22:30.786Z] The best model improves the baseline by 14.34%. [2025-04-16T08:22:31.491Z] Top recommended movies for user id 72: [2025-04-16T08:22:31.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:22:31.491Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:22:31.491Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:22:31.491Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:22:31.491Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:22:31.491Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (56229.554 ms) ====== [2025-04-16T08:22:31.491Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-16T08:22:31.491Z] GC before operation: completed in 398.003 ms, heap usage 250.921 MB -> 85.285 MB. [2025-04-16T08:22:43.967Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:22:53.772Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:23:01.695Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:23:16.288Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:23:20.286Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:23:30.157Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:23:39.988Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:23:45.178Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:23:46.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:23:47.587Z] The best model improves the baseline by 14.34%. [2025-04-16T08:23:47.587Z] Top recommended movies for user id 72: [2025-04-16T08:23:47.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:23:47.587Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:23:47.587Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:23:47.587Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:23:47.587Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:23:47.587Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (76118.137 ms) ====== [2025-04-16T08:23:47.587Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-16T08:23:49.536Z] GC before operation: completed in 495.994 ms, heap usage 303.925 MB -> 83.375 MB. [2025-04-16T08:24:02.179Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:24:11.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:24:30.833Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:24:38.536Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:24:47.278Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:24:55.105Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:25:05.018Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:25:22.084Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:25:22.873Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:25:22.873Z] The best model improves the baseline by 14.34%. [2025-04-16T08:25:23.548Z] Top recommended movies for user id 72: [2025-04-16T08:25:23.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:25:23.549Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:25:23.549Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:25:23.549Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:25:23.549Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:25:23.549Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (95548.525 ms) ====== [2025-04-16T08:25:23.549Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-16T08:25:24.223Z] GC before operation: completed in 846.635 ms, heap usage 284.268 MB -> 83.464 MB. [2025-04-16T08:25:40.724Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T08:25:51.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T08:26:03.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T08:26:18.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T08:26:25.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T08:26:31.709Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T08:26:38.716Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T08:26:47.205Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T08:26:47.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-04-16T08:26:47.959Z] The best model improves the baseline by 14.34%. [2025-04-16T08:26:48.628Z] Top recommended movies for user id 72: [2025-04-16T08:26:48.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-04-16T08:26:48.628Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-04-16T08:26:48.628Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-04-16T08:26:48.628Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-04-16T08:26:48.628Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-04-16T08:26:48.628Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (84195.327 ms) ====== [2025-04-16T08:26:50.051Z] ----------------------------------- [2025-04-16T08:26:50.051Z] renaissance-movie-lens_0_PASSED [2025-04-16T08:26:50.051Z] ----------------------------------- [2025-04-16T08:26:50.051Z] [2025-04-16T08:26:50.051Z] TEST TEARDOWN: [2025-04-16T08:26:50.051Z] Nothing to be done for teardown. [2025-04-16T08:26:50.051Z] renaissance-movie-lens_0 Finish Time: Wed Apr 16 08:26:49 2025 Epoch Time (ms): 1744792009851