[2025-06-12T07:20:59.692Z] Running test renaissance-movie-lens_0 ... [2025-06-12T07:20:59.692Z] =============================================== [2025-06-12T07:20:59.692Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 07:20:59 2025 Epoch Time (ms): 1749712859447 [2025-06-12T07:20:59.692Z] variation: NoOptions [2025-06-12T07:20:59.693Z] JVM_OPTIONS: [2025-06-12T07:20:59.693Z] { \ [2025-06-12T07:20:59.693Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T07:20:59.693Z] echo "Nothing to be done for setup."; \ [2025-06-12T07:20:59.693Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17497093574504/renaissance-movie-lens_0"; \ [2025-06-12T07:20:59.693Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17497093574504/renaissance-movie-lens_0"; \ [2025-06-12T07:20:59.693Z] echo ""; echo "TESTING:"; \ [2025-06-12T07:20:59.693Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17497093574504/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-12T07:20:59.693Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17497093574504/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T07:20:59.693Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T07:20:59.693Z] echo "Nothing to be done for teardown."; \ [2025-06-12T07:20:59.693Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17497093574504/TestTargetResult"; [2025-06-12T07:20:59.693Z] [2025-06-12T07:20:59.693Z] TEST SETUP: [2025-06-12T07:20:59.693Z] Nothing to be done for setup. [2025-06-12T07:20:59.693Z] [2025-06-12T07:20:59.693Z] TESTING: [2025-06-12T07:21:12.788Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-12T07:21:21.595Z] 07:21:21.095 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. [2025-06-12T07:21:25.320Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T07:21:26.949Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T07:21:26.949Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T07:21:26.949Z] GC before operation: completed in 231.131 ms, heap usage 107.452 MB -> 74.112 MB. [2025-06-12T07:21:40.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:21:48.880Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:21:56.090Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:22:01.929Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:22:04.841Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:22:08.599Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:22:12.333Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:22:15.246Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:22:15.571Z] 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. [2025-06-12T07:22:15.571Z] The best model improves the baseline by 14.34%. [2025-06-12T07:22:15.892Z] Top recommended movies for user id 72: [2025-06-12T07:22:15.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:22:15.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:22:15.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:22:15.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:22:15.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:22:15.892Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48936.861 ms) ====== [2025-06-12T07:22:15.892Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T07:22:16.213Z] GC before operation: completed in 219.631 ms, heap usage 197.885 MB -> 84.622 MB. [2025-06-12T07:22:22.054Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:22:25.785Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:22:30.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:22:35.246Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:22:37.462Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:22:40.373Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:22:43.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:22:46.227Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:22:46.227Z] 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. [2025-06-12T07:22:46.227Z] The best model improves the baseline by 14.34%. [2025-06-12T07:22:46.549Z] Top recommended movies for user id 72: [2025-06-12T07:22:46.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:22:46.549Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:22:46.549Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:22:46.549Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:22:46.549Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:22:46.549Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30375.787 ms) ====== [2025-06-12T07:22:46.549Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T07:22:46.872Z] GC before operation: completed in 216.904 ms, heap usage 180.809 MB -> 86.396 MB. [2025-06-12T07:22:51.574Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:22:56.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:23:01.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:23:05.722Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:23:07.936Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:23:10.851Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:23:13.771Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:23:16.745Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:23:16.745Z] 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. [2025-06-12T07:23:16.745Z] The best model improves the baseline by 14.34%. [2025-06-12T07:23:17.065Z] Top recommended movies for user id 72: [2025-06-12T07:23:17.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:23:17.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:23:17.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:23:17.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:23:17.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:23:17.065Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30189.559 ms) ====== [2025-06-12T07:23:17.066Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T07:23:17.386Z] GC before operation: completed in 222.719 ms, heap usage 97.841 MB -> 86.776 MB. [2025-06-12T07:23:22.078Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:23:26.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:23:31.459Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:23:35.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:23:38.103Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:23:40.320Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:23:42.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:23:45.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:23:45.455Z] 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. [2025-06-12T07:23:45.455Z] The best model improves the baseline by 14.34%. [2025-06-12T07:23:45.776Z] Top recommended movies for user id 72: [2025-06-12T07:23:45.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:23:45.776Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:23:45.776Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:23:45.776Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:23:45.776Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:23:45.776Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28347.121 ms) ====== [2025-06-12T07:23:45.776Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T07:23:45.776Z] GC before operation: completed in 202.949 ms, heap usage 294.009 MB -> 87.422 MB. [2025-06-12T07:23:50.463Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:23:54.204Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:23:58.896Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:24:02.623Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:24:04.925Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:24:07.156Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:24:09.372Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:24:12.295Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:24:12.616Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T07:24:12.616Z] The best model improves the baseline by 14.34%. [2025-06-12T07:24:12.938Z] Top recommended movies for user id 72: [2025-06-12T07:24:12.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:24:12.938Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:24:12.938Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:24:12.938Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:24:12.938Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:24:12.938Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26993.415 ms) ====== [2025-06-12T07:24:12.938Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T07:24:12.938Z] GC before operation: completed in 213.203 ms, heap usage 396.849 MB -> 87.576 MB. [2025-06-12T07:24:17.636Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:24:22.332Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:24:27.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:24:30.822Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:24:33.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:24:35.958Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:24:38.874Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:24:41.785Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:24:41.785Z] 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. [2025-06-12T07:24:41.785Z] The best model improves the baseline by 14.34%. [2025-06-12T07:24:41.785Z] Top recommended movies for user id 72: [2025-06-12T07:24:41.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:24:41.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:24:41.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:24:41.785Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:24:41.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:24:41.785Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28870.496 ms) ====== [2025-06-12T07:24:41.785Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T07:24:42.110Z] GC before operation: completed in 220.845 ms, heap usage 111.847 MB -> 87.408 MB. [2025-06-12T07:24:46.805Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:24:50.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:24:55.270Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:24:59.979Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:25:02.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:25:05.107Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:25:08.019Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:25:10.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:25:10.935Z] 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. [2025-06-12T07:25:10.935Z] The best model improves the baseline by 14.34%. [2025-06-12T07:25:10.935Z] Top recommended movies for user id 72: [2025-06-12T07:25:10.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:25:10.935Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:25:10.935Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:25:10.935Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:25:10.935Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:25:10.935Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28890.389 ms) ====== [2025-06-12T07:25:10.935Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T07:25:11.257Z] GC before operation: completed in 213.217 ms, heap usage 142.968 MB -> 87.455 MB. [2025-06-12T07:25:15.014Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:25:18.749Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:25:22.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:25:26.199Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:25:29.116Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:25:31.335Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:25:33.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:25:35.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:25:36.180Z] 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. [2025-06-12T07:25:36.180Z] The best model improves the baseline by 14.34%. [2025-06-12T07:25:36.502Z] Top recommended movies for user id 72: [2025-06-12T07:25:36.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:25:36.502Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:25:36.502Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:25:36.502Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:25:36.502Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:25:36.502Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25234.774 ms) ====== [2025-06-12T07:25:36.502Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T07:25:36.823Z] GC before operation: completed in 207.679 ms, heap usage 124.002 MB -> 87.609 MB. [2025-06-12T07:25:40.554Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:25:45.253Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:25:49.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:25:54.644Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:25:56.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:25:59.139Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:26:02.091Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:26:04.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:26:04.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T07:26:04.637Z] The best model improves the baseline by 14.34%. [2025-06-12T07:26:04.958Z] Top recommended movies for user id 72: [2025-06-12T07:26:04.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:26:04.958Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:26:04.958Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:26:04.958Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:26:04.958Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:26:04.958Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28301.699 ms) ====== [2025-06-12T07:26:04.958Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T07:26:05.285Z] GC before operation: completed in 207.238 ms, heap usage 293.901 MB -> 87.719 MB. [2025-06-12T07:26:09.975Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:26:13.712Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:26:18.419Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:26:22.150Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:26:24.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:26:27.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:26:30.199Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:26:32.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:26:32.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T07:26:32.738Z] The best model improves the baseline by 14.34%. [2025-06-12T07:26:32.738Z] Top recommended movies for user id 72: [2025-06-12T07:26:32.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:26:32.738Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:26:32.738Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:26:32.738Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:26:32.738Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:26:32.738Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27703.289 ms) ====== [2025-06-12T07:26:32.738Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T07:26:33.060Z] GC before operation: completed in 205.551 ms, heap usage 145.012 MB -> 87.745 MB. [2025-06-12T07:26:37.764Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:26:41.561Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:26:46.252Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:26:49.987Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:26:52.895Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:26:55.114Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:26:57.334Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:26:59.550Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:26:59.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T07:26:59.870Z] The best model improves the baseline by 14.34%. [2025-06-12T07:27:00.196Z] Top recommended movies for user id 72: [2025-06-12T07:27:00.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:27:00.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:27:00.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:27:00.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:27:00.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:27:00.197Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27001.926 ms) ====== [2025-06-12T07:27:00.197Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T07:27:00.197Z] GC before operation: completed in 203.493 ms, heap usage 296.924 MB -> 87.691 MB. [2025-06-12T07:27:04.968Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:27:07.880Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:27:12.572Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:27:15.477Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:27:17.708Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:27:19.927Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:27:22.839Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:27:24.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:27:25.229Z] 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. [2025-06-12T07:27:25.229Z] The best model improves the baseline by 14.34%. [2025-06-12T07:27:25.551Z] Top recommended movies for user id 72: [2025-06-12T07:27:25.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:27:25.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:27:25.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:27:25.551Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:27:25.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:27:25.551Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25117.410 ms) ====== [2025-06-12T07:27:25.551Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T07:27:25.551Z] GC before operation: completed in 200.336 ms, heap usage 172.922 MB -> 87.717 MB. [2025-06-12T07:27:30.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:27:33.985Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:27:38.689Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:27:42.458Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:27:45.384Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:27:47.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:27:49.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:27:52.818Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:27:52.818Z] 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. [2025-06-12T07:27:52.818Z] The best model improves the baseline by 14.34%. [2025-06-12T07:27:53.139Z] Top recommended movies for user id 72: [2025-06-12T07:27:53.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:27:53.139Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:27:53.139Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:27:53.139Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:27:53.139Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:27:53.139Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27510.494 ms) ====== [2025-06-12T07:27:53.139Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T07:27:53.459Z] GC before operation: completed in 202.560 ms, heap usage 285.672 MB -> 87.973 MB. [2025-06-12T07:27:57.205Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:28:01.901Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:28:06.592Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:28:10.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:28:12.598Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:28:15.511Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:28:18.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:28:20.062Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:28:20.756Z] 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. [2025-06-12T07:28:20.756Z] The best model improves the baseline by 14.34%. [2025-06-12T07:28:20.756Z] Top recommended movies for user id 72: [2025-06-12T07:28:20.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:28:20.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:28:20.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:28:20.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:28:20.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:28:20.757Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27430.229 ms) ====== [2025-06-12T07:28:20.757Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T07:28:21.078Z] GC before operation: completed in 204.428 ms, heap usage 106.942 MB -> 87.539 MB. [2025-06-12T07:28:24.824Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:28:29.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:28:33.336Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:28:37.068Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:28:39.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:28:41.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:28:44.484Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:28:47.853Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:28:47.853Z] 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. [2025-06-12T07:28:47.853Z] The best model improves the baseline by 14.34%. [2025-06-12T07:28:47.853Z] Top recommended movies for user id 72: [2025-06-12T07:28:47.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:28:47.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:28:47.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:28:47.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:28:47.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:28:47.853Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26038.033 ms) ====== [2025-06-12T07:28:47.853Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T07:28:47.853Z] GC before operation: completed in 202.401 ms, heap usage 291.714 MB -> 88.030 MB. [2025-06-12T07:28:51.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:28:55.311Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:29:00.069Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:29:03.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:29:06.021Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:29:08.931Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:29:11.841Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:29:14.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:29:14.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T07:29:14.379Z] The best model improves the baseline by 14.34%. [2025-06-12T07:29:14.379Z] Top recommended movies for user id 72: [2025-06-12T07:29:14.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:29:14.379Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:29:14.379Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:29:14.379Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:29:14.379Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:29:14.379Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27331.566 ms) ====== [2025-06-12T07:29:14.379Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T07:29:14.706Z] GC before operation: completed in 223.746 ms, heap usage 133.103 MB -> 87.615 MB. [2025-06-12T07:29:18.507Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:29:22.234Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:29:25.966Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:29:30.657Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:29:32.287Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:29:34.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:29:36.721Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:29:39.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:29:39.634Z] 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. [2025-06-12T07:29:39.955Z] The best model improves the baseline by 14.34%. [2025-06-12T07:29:39.955Z] Top recommended movies for user id 72: [2025-06-12T07:29:39.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:29:39.955Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:29:39.955Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:29:39.955Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:29:39.955Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:29:39.955Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25197.781 ms) ====== [2025-06-12T07:29:39.955Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T07:29:40.276Z] GC before operation: completed in 205.473 ms, heap usage 246.225 MB -> 87.945 MB. [2025-06-12T07:29:45.032Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:29:48.763Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:29:53.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:29:57.176Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:29:59.401Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:30:02.311Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:30:04.606Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:30:07.522Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:30:07.522Z] 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. [2025-06-12T07:30:07.522Z] The best model improves the baseline by 14.34%. [2025-06-12T07:30:07.843Z] Top recommended movies for user id 72: [2025-06-12T07:30:07.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:30:07.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:30:07.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:30:07.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:30:07.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:30:07.844Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27582.528 ms) ====== [2025-06-12T07:30:07.844Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T07:30:07.844Z] GC before operation: completed in 203.162 ms, heap usage 281.443 MB -> 87.818 MB. [2025-06-12T07:30:12.547Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:30:16.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:30:21.083Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:30:24.811Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:30:27.788Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:30:30.010Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:30:32.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:30:34.443Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:30:34.767Z] 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. [2025-06-12T07:30:34.767Z] The best model improves the baseline by 14.34%. [2025-06-12T07:30:35.089Z] Top recommended movies for user id 72: [2025-06-12T07:30:35.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:30:35.089Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:30:35.089Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:30:35.089Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:30:35.089Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:30:35.089Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27091.155 ms) ====== [2025-06-12T07:30:35.089Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T07:30:35.089Z] GC before operation: completed in 198.114 ms, heap usage 324.047 MB -> 87.997 MB. [2025-06-12T07:30:39.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T07:30:43.530Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T07:30:47.260Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T07:30:51.064Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T07:30:53.279Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T07:30:55.498Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T07:30:57.717Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T07:30:59.935Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T07:31:00.256Z] 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. [2025-06-12T07:31:00.256Z] The best model improves the baseline by 14.34%. [2025-06-12T07:31:00.577Z] Top recommended movies for user id 72: [2025-06-12T07:31:00.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T07:31:00.577Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T07:31:00.577Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T07:31:00.577Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T07:31:00.577Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T07:31:00.577Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25347.179 ms) ====== [2025-06-12T07:31:01.272Z] ----------------------------------- [2025-06-12T07:31:01.272Z] renaissance-movie-lens_0_PASSED [2025-06-12T07:31:01.272Z] ----------------------------------- [2025-06-12T07:31:01.272Z] [2025-06-12T07:31:01.272Z] TEST TEARDOWN: [2025-06-12T07:31:01.272Z] Nothing to be done for teardown. [2025-06-12T07:31:01.272Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 07:31:01 2025 Epoch Time (ms): 1749713461028