[2025-11-13T01:07:24.684Z] Running test renaissance-movie-lens_0 ... [2025-11-13T01:07:24.684Z] =============================================== [2025-11-13T01:07:24.684Z] renaissance-movie-lens_0 Start Time: Thu Nov 13 01:07:24 2025 Epoch Time (ms): 1762996044458 [2025-11-13T01:07:24.684Z] variation: NoOptions [2025-11-13T01:07:24.684Z] JVM_OPTIONS: [2025-11-13T01:07:24.684Z] { \ [2025-11-13T01:07:24.684Z] echo ""; echo "TEST SETUP:"; \ [2025-11-13T01:07:24.684Z] echo "Nothing to be done for setup."; \ [2025-11-13T01:07:24.684Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629937313482/renaissance-movie-lens_0"; \ [2025-11-13T01:07:24.684Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629937313482/renaissance-movie-lens_0"; \ [2025-11-13T01:07:24.684Z] echo ""; echo "TESTING:"; \ [2025-11-13T01:07:24.685Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629937313482/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-13T01:07:24.685Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629937313482/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-13T01:07:24.685Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-13T01:07:24.685Z] echo "Nothing to be done for teardown."; \ [2025-11-13T01:07:24.685Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629937313482/TestTargetResult"; [2025-11-13T01:07:24.685Z] [2025-11-13T01:07:24.685Z] TEST SETUP: [2025-11-13T01:07:24.685Z] Nothing to be done for setup. [2025-11-13T01:07:24.685Z] [2025-11-13T01:07:24.685Z] TESTING: [2025-11-13T01:07:30.611Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-13T01:07:37.947Z] 01:07:37.346 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-13T01:07:40.935Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-13T01:07:41.656Z] Training: 60056, validation: 20285, test: 19854 [2025-11-13T01:07:41.656Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-13T01:07:41.656Z] GC before operation: completed in 172.398 ms, heap usage 344.167 MB -> 75.738 MB. [2025-11-13T01:07:49.042Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:07:55.021Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:07:58.004Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:08:01.817Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:08:04.099Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:08:06.376Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:08:08.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:08:10.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:08:10.729Z] 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. [2025-11-13T01:08:10.729Z] The best model improves the baseline by 14.34%. [2025-11-13T01:08:11.063Z] Top recommended movies for user id 72: [2025-11-13T01:08:11.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:08:11.063Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:08:11.063Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:08:11.063Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:08:11.063Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:08:11.063Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29351.548 ms) ====== [2025-11-13T01:08:11.063Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-13T01:08:11.063Z] GC before operation: completed in 183.290 ms, heap usage 235.145 MB -> 88.186 MB. [2025-11-13T01:08:14.886Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:08:17.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:08:20.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:08:23.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:08:24.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:08:25.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:08:27.624Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:08:29.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:08:29.630Z] 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. [2025-11-13T01:08:29.630Z] The best model improves the baseline by 14.34%. [2025-11-13T01:08:29.630Z] Top recommended movies for user id 72: [2025-11-13T01:08:29.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:08:29.630Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:08:29.630Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:08:29.630Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:08:29.630Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:08:29.630Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18526.826 ms) ====== [2025-11-13T01:08:29.630Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-13T01:08:29.974Z] GC before operation: completed in 177.169 ms, heap usage 167.224 MB -> 87.677 MB. [2025-11-13T01:08:33.024Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:08:35.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:08:38.280Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:08:40.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:08:42.317Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:08:43.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:08:45.664Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:08:47.339Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:08:47.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-13T01:08:47.695Z] The best model improves the baseline by 14.34%. [2025-11-13T01:08:48.035Z] Top recommended movies for user id 72: [2025-11-13T01:08:48.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:08:48.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:08:48.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:08:48.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:08:48.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:08:48.035Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18035.526 ms) ====== [2025-11-13T01:08:48.035Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-13T01:08:48.035Z] GC before operation: completed in 169.619 ms, heap usage 354.340 MB -> 88.719 MB. [2025-11-13T01:08:51.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:08:53.359Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:08:56.349Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:08:58.647Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:09:00.398Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:09:01.553Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:09:03.226Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:09:04.909Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:09:04.909Z] 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. [2025-11-13T01:09:05.242Z] The best model improves the baseline by 14.34%. [2025-11-13T01:09:05.242Z] Top recommended movies for user id 72: [2025-11-13T01:09:05.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:09:05.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:09:05.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:09:05.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:09:05.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:09:05.242Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17201.809 ms) ====== [2025-11-13T01:09:05.242Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-13T01:09:05.577Z] GC before operation: completed in 159.531 ms, heap usage 167.026 MB -> 88.656 MB. [2025-11-13T01:09:08.550Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:09:10.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:09:14.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:09:16.376Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:09:17.533Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:09:19.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:09:20.888Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:09:22.044Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:09:22.384Z] 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. [2025-11-13T01:09:22.384Z] The best model improves the baseline by 14.34%. [2025-11-13T01:09:22.720Z] Top recommended movies for user id 72: [2025-11-13T01:09:22.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:09:22.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:09:22.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:09:22.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:09:22.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:09:22.720Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17153.198 ms) ====== [2025-11-13T01:09:22.720Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-13T01:09:22.720Z] GC before operation: completed in 159.777 ms, heap usage 398.264 MB -> 89.042 MB. [2025-11-13T01:09:25.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:09:27.974Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:09:30.988Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:09:32.655Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:09:34.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:09:36.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:09:37.235Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:09:38.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:09:38.907Z] 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. [2025-11-13T01:09:39.243Z] The best model improves the baseline by 14.34%. [2025-11-13T01:09:39.243Z] Top recommended movies for user id 72: [2025-11-13T01:09:39.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:09:39.243Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:09:39.243Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:09:39.243Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:09:39.243Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:09:39.243Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16452.397 ms) ====== [2025-11-13T01:09:39.243Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-13T01:09:39.243Z] GC before operation: completed in 170.706 ms, heap usage 496.783 MB -> 92.711 MB. [2025-11-13T01:09:42.223Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:09:44.493Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:09:46.769Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:09:49.090Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:09:50.766Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:09:52.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:09:54.238Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:09:55.390Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:09:55.721Z] 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. [2025-11-13T01:09:55.721Z] The best model improves the baseline by 14.34%. [2025-11-13T01:09:55.721Z] Top recommended movies for user id 72: [2025-11-13T01:09:55.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:09:55.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:09:55.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:09:55.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:09:55.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:09:55.721Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16441.211 ms) ====== [2025-11-13T01:09:55.721Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-13T01:09:56.058Z] GC before operation: completed in 153.953 ms, heap usage 150.689 MB -> 89.029 MB. [2025-11-13T01:09:58.333Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:10:00.607Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:10:03.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:10:05.851Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:10:07.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:10:08.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:10:09.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:10:11.535Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:10:11.864Z] 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. [2025-11-13T01:10:11.864Z] The best model improves the baseline by 14.34%. [2025-11-13T01:10:11.864Z] Top recommended movies for user id 72: [2025-11-13T01:10:11.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:10:11.864Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:10:11.864Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:10:11.864Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:10:11.864Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:10:11.864Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15963.689 ms) ====== [2025-11-13T01:10:11.864Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-13T01:10:12.199Z] GC before operation: completed in 154.463 ms, heap usage 395.872 MB -> 89.633 MB. [2025-11-13T01:10:15.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:10:16.925Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:10:19.903Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:10:22.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:10:23.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:10:25.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:10:26.698Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:10:27.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:10:28.186Z] 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. [2025-11-13T01:10:28.186Z] The best model improves the baseline by 14.34%. [2025-11-13T01:10:28.186Z] Top recommended movies for user id 72: [2025-11-13T01:10:28.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:10:28.186Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:10:28.186Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:10:28.186Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:10:28.186Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:10:28.186Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16204.178 ms) ====== [2025-11-13T01:10:28.186Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-13T01:10:28.518Z] GC before operation: completed in 151.587 ms, heap usage 406.594 MB -> 89.499 MB. [2025-11-13T01:10:30.786Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:10:33.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:10:36.188Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:10:37.858Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:10:39.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:10:40.799Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:10:42.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:10:44.140Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:10:44.140Z] 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. [2025-11-13T01:10:44.140Z] The best model improves the baseline by 14.34%. [2025-11-13T01:10:44.140Z] Top recommended movies for user id 72: [2025-11-13T01:10:44.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:10:44.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:10:44.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:10:44.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:10:44.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:10:44.140Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15787.916 ms) ====== [2025-11-13T01:10:44.140Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-13T01:10:44.507Z] GC before operation: completed in 152.015 ms, heap usage 248.105 MB -> 89.376 MB. [2025-11-13T01:10:46.808Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:10:49.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:10:52.090Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:10:53.787Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:10:55.452Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:10:56.603Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:10:58.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:10:59.944Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:10:59.944Z] 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. [2025-11-13T01:10:59.944Z] The best model improves the baseline by 14.34%. [2025-11-13T01:10:59.944Z] Top recommended movies for user id 72: [2025-11-13T01:10:59.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:10:59.944Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:10:59.944Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:10:59.944Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:10:59.944Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:10:59.944Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15602.994 ms) ====== [2025-11-13T01:10:59.944Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-13T01:11:00.276Z] GC before operation: completed in 150.446 ms, heap usage 437.093 MB -> 89.462 MB. [2025-11-13T01:11:02.548Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:11:04.815Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:11:07.784Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:11:09.454Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:11:11.129Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:11:12.293Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:11:14.062Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:11:15.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:11:15.222Z] 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. [2025-11-13T01:11:15.558Z] The best model improves the baseline by 14.34%. [2025-11-13T01:11:15.558Z] Top recommended movies for user id 72: [2025-11-13T01:11:15.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:11:15.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:11:15.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:11:15.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:11:15.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:11:15.558Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15372.421 ms) ====== [2025-11-13T01:11:15.558Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-13T01:11:15.558Z] GC before operation: completed in 145.801 ms, heap usage 181.029 MB -> 89.179 MB. [2025-11-13T01:11:18.559Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:11:20.232Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:11:23.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:11:24.877Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:11:26.546Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:11:27.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:11:29.377Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:11:31.049Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:11:31.049Z] 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. [2025-11-13T01:11:31.049Z] The best model improves the baseline by 14.34%. [2025-11-13T01:11:31.049Z] Top recommended movies for user id 72: [2025-11-13T01:11:31.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:11:31.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:11:31.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:11:31.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:11:31.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:11:31.049Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15416.678 ms) ====== [2025-11-13T01:11:31.049Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-13T01:11:31.382Z] GC before operation: completed in 159.999 ms, heap usage 696.786 MB -> 93.789 MB. [2025-11-13T01:11:33.724Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:11:36.071Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:11:39.049Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:11:40.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:11:42.388Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:11:43.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:11:45.210Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:11:46.371Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:11:46.704Z] 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. [2025-11-13T01:11:46.704Z] The best model improves the baseline by 14.34%. [2025-11-13T01:11:47.038Z] Top recommended movies for user id 72: [2025-11-13T01:11:47.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:11:47.038Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:11:47.038Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:11:47.038Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:11:47.038Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:11:47.038Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15633.143 ms) ====== [2025-11-13T01:11:47.038Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-13T01:11:47.038Z] GC before operation: completed in 147.504 ms, heap usage 409.196 MB -> 89.472 MB. [2025-11-13T01:11:49.309Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:11:51.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:11:53.864Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:11:56.340Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:11:57.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:11:59.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:12:00.328Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:12:01.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:12:01.994Z] 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. [2025-11-13T01:12:01.994Z] The best model improves the baseline by 14.34%. [2025-11-13T01:12:01.994Z] Top recommended movies for user id 72: [2025-11-13T01:12:01.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:12:01.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:12:01.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:12:01.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:12:01.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:12:01.994Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15055.879 ms) ====== [2025-11-13T01:12:01.994Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-13T01:12:02.327Z] GC before operation: completed in 148.718 ms, heap usage 236.245 MB -> 89.446 MB. [2025-11-13T01:12:04.601Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:12:06.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:12:09.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:12:11.434Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:12:12.685Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:12:14.385Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:12:16.065Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:12:17.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:12:17.223Z] 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. [2025-11-13T01:12:17.223Z] The best model improves the baseline by 14.34%. [2025-11-13T01:12:17.554Z] Top recommended movies for user id 72: [2025-11-13T01:12:17.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:12:17.554Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:12:17.554Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:12:17.554Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:12:17.554Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:12:17.554Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15273.636 ms) ====== [2025-11-13T01:12:17.554Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-13T01:12:17.554Z] GC before operation: completed in 143.848 ms, heap usage 172.953 MB -> 89.187 MB. [2025-11-13T01:12:19.827Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:12:22.124Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:12:25.101Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:12:26.774Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:12:27.935Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:12:29.603Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:12:30.757Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:12:32.431Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:12:32.431Z] 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. [2025-11-13T01:12:32.431Z] The best model improves the baseline by 14.34%. [2025-11-13T01:12:32.852Z] Top recommended movies for user id 72: [2025-11-13T01:12:32.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:12:32.852Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:12:32.852Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:12:32.852Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:12:32.852Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:12:32.852Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14959.150 ms) ====== [2025-11-13T01:12:32.852Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-13T01:12:32.852Z] GC before operation: completed in 146.406 ms, heap usage 435.480 MB -> 89.801 MB. [2025-11-13T01:12:35.122Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:12:37.528Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:12:39.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:12:42.090Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:12:43.772Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:12:44.928Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:12:46.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:12:47.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:12:48.090Z] 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. [2025-11-13T01:12:48.090Z] The best model improves the baseline by 14.34%. [2025-11-13T01:12:48.428Z] Top recommended movies for user id 72: [2025-11-13T01:12:48.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:12:48.428Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:12:48.428Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:12:48.428Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:12:48.428Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:12:48.428Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15485.037 ms) ====== [2025-11-13T01:12:48.428Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-13T01:12:48.428Z] GC before operation: completed in 146.385 ms, heap usage 156.010 MB -> 89.083 MB. [2025-11-13T01:12:50.689Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:12:52.978Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:12:55.245Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:12:57.508Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:12:59.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:13:00.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:13:01.511Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:13:03.189Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:13:03.189Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-13T01:13:03.189Z] The best model improves the baseline by 14.34%. [2025-11-13T01:13:03.522Z] Top recommended movies for user id 72: [2025-11-13T01:13:03.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:13:03.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:13:03.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:13:03.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:13:03.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:13:03.522Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15021.852 ms) ====== [2025-11-13T01:13:03.522Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-13T01:13:03.522Z] GC before operation: completed in 150.001 ms, heap usage 385.242 MB -> 89.650 MB. [2025-11-13T01:13:05.804Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T01:13:08.117Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T01:13:10.403Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T01:13:12.766Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T01:13:13.920Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T01:13:15.100Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T01:13:16.770Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T01:13:17.923Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T01:13:18.255Z] 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. [2025-11-13T01:13:18.255Z] The best model improves the baseline by 14.34%. [2025-11-13T01:13:18.255Z] Top recommended movies for user id 72: [2025-11-13T01:13:18.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-13T01:13:18.592Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-13T01:13:18.592Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-13T01:13:18.592Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-13T01:13:18.592Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-13T01:13:18.592Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14837.782 ms) ====== [2025-11-13T01:13:18.925Z] ----------------------------------- [2025-11-13T01:13:18.925Z] renaissance-movie-lens_0_PASSED [2025-11-13T01:13:18.925Z] ----------------------------------- [2025-11-13T01:13:18.925Z] [2025-11-13T01:13:18.925Z] TEST TEARDOWN: [2025-11-13T01:13:18.925Z] Nothing to be done for teardown. [2025-11-13T01:13:18.925Z] renaissance-movie-lens_0 Finish Time: Thu Nov 13 01:13:18 2025 Epoch Time (ms): 1762996398719