[2025-06-30T22:09:37.899Z] Running test renaissance-movie-lens_0 ... [2025-06-30T22:09:37.899Z] =============================================== [2025-06-30T22:09:37.899Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 22:09:37 2025 Epoch Time (ms): 1751321377157 [2025-06-30T22:09:37.899Z] variation: NoOptions [2025-06-30T22:09:37.899Z] JVM_OPTIONS: [2025-06-30T22:09:37.899Z] { \ [2025-06-30T22:09:37.899Z] echo ""; echo "TEST SETUP:"; \ [2025-06-30T22:09:37.899Z] echo "Nothing to be done for setup."; \ [2025-06-30T22:09:37.899Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1751314797482/renaissance-movie-lens_0"; \ [2025-06-30T22:09:37.899Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1751314797482/renaissance-movie-lens_0"; \ [2025-06-30T22:09:37.899Z] echo ""; echo "TESTING:"; \ [2025-06-30T22:09:37.899Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1751314797482/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-30T22:09:37.899Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1751314797482/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-30T22:09:37.899Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-30T22:09:37.899Z] echo "Nothing to be done for teardown."; \ [2025-06-30T22:09:37.899Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1751314797482/TestTargetResult"; [2025-06-30T22:09:37.899Z] [2025-06-30T22:09:37.899Z] TEST SETUP: [2025-06-30T22:09:37.899Z] Nothing to be done for setup. [2025-06-30T22:09:37.899Z] [2025-06-30T22:09:37.899Z] TESTING: [2025-06-30T22:10:00.509Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-30T22:10:32.029Z] 22:10:28.908 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-30T22:10:41.060Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-30T22:10:43.713Z] Training: 60056, validation: 20285, test: 19854 [2025-06-30T22:10:43.713Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-30T22:10:44.561Z] GC before operation: completed in 706.042 ms, heap usage 366.828 MB -> 75.981 MB. [2025-06-30T22:11:26.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:11:44.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:12:01.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:12:20.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:12:31.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:12:40.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:12:48.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:12:56.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:12:57.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:12:57.735Z] The best model improves the baseline by 14.52%. [2025-06-30T22:12:58.577Z] Top recommended movies for user id 72: [2025-06-30T22:12:58.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:12:58.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:12:58.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:12:58.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:12:58.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:12:58.577Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (134035.983 ms) ====== [2025-06-30T22:12:58.577Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-30T22:12:59.397Z] GC before operation: completed in 1017.494 ms, heap usage 716.332 MB -> 93.009 MB. [2025-06-30T22:13:16.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:13:33.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:13:46.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:14:00.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:14:09.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:14:16.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:14:26.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:14:34.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:14:35.218Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:14:35.218Z] The best model improves the baseline by 14.52%. [2025-06-30T22:14:36.041Z] Top recommended movies for user id 72: [2025-06-30T22:14:36.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:14:36.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:14:36.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:14:36.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:14:36.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:14:36.041Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (96451.635 ms) ====== [2025-06-30T22:14:36.041Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-30T22:14:36.920Z] GC before operation: completed in 1027.144 ms, heap usage 258.186 MB -> 88.605 MB. [2025-06-30T22:14:54.400Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:15:06.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:15:18.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:15:31.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:15:40.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:15:48.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:15:56.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:16:03.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:16:05.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:16:05.662Z] The best model improves the baseline by 14.52%. [2025-06-30T22:16:06.496Z] Top recommended movies for user id 72: [2025-06-30T22:16:06.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:16:06.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:16:06.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:16:06.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:16:06.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:16:06.496Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (89090.467 ms) ====== [2025-06-30T22:16:06.496Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-30T22:16:07.315Z] GC before operation: completed in 687.812 ms, heap usage 470.191 MB -> 89.544 MB. [2025-06-30T22:16:21.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:16:33.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:16:46.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:16:58.920Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:17:07.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:17:18.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:17:26.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:17:34.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:17:35.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:17:35.400Z] The best model improves the baseline by 14.52%. [2025-06-30T22:17:36.221Z] Top recommended movies for user id 72: [2025-06-30T22:17:36.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:17:36.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:17:36.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:17:36.221Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:17:36.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:17:36.221Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (89121.557 ms) ====== [2025-06-30T22:17:36.222Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-30T22:17:37.055Z] GC before operation: completed in 648.143 ms, heap usage 211.719 MB -> 90.460 MB. [2025-06-30T22:17:51.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:18:01.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:18:16.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:18:28.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:18:35.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:18:43.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:18:52.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:18:59.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:19:00.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:19:00.183Z] The best model improves the baseline by 14.52%. [2025-06-30T22:19:01.041Z] Top recommended movies for user id 72: [2025-06-30T22:19:01.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:19:01.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:19:01.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:19:01.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:19:01.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:19:01.041Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (84356.108 ms) ====== [2025-06-30T22:19:01.041Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-30T22:19:01.863Z] GC before operation: completed in 704.699 ms, heap usage 297.284 MB -> 89.631 MB. [2025-06-30T22:19:16.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:19:28.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:19:43.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:19:55.341Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:20:01.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:20:08.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:20:17.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:20:23.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:20:24.035Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:20:24.862Z] The best model improves the baseline by 14.52%. [2025-06-30T22:20:24.862Z] Top recommended movies for user id 72: [2025-06-30T22:20:24.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:20:24.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:20:24.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:20:24.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:20:24.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:20:24.862Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (83045.422 ms) ====== [2025-06-30T22:20:24.862Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-30T22:20:25.700Z] GC before operation: completed in 637.130 ms, heap usage 546.237 MB -> 93.464 MB. [2025-06-30T22:20:36.868Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:20:49.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:20:59.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:21:11.752Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:21:17.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:21:25.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:21:32.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:21:38.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:21:40.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:21:40.340Z] The best model improves the baseline by 14.52%. [2025-06-30T22:21:41.155Z] Top recommended movies for user id 72: [2025-06-30T22:21:41.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:21:41.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:21:41.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:21:41.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:21:41.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:21:41.155Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (75621.694 ms) ====== [2025-06-30T22:21:41.155Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-30T22:21:41.971Z] GC before operation: completed in 657.707 ms, heap usage 432.124 MB -> 90.063 MB. [2025-06-30T22:21:54.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:22:06.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:22:16.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:22:27.844Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:22:34.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:22:41.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:22:47.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:22:53.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:22:54.990Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:22:54.990Z] The best model improves the baseline by 14.52%. [2025-06-30T22:22:55.802Z] Top recommended movies for user id 72: [2025-06-30T22:22:55.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:22:55.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:22:55.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:22:55.802Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:22:55.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:22:55.802Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73824.530 ms) ====== [2025-06-30T22:22:55.802Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-30T22:22:55.802Z] GC before operation: completed in 508.428 ms, heap usage 310.897 MB -> 90.043 MB. [2025-06-30T22:23:06.041Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:23:17.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:23:29.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:23:39.725Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:23:45.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:23:51.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:23:58.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:24:06.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:24:07.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:24:07.695Z] The best model improves the baseline by 14.52%. [2025-06-30T22:24:08.592Z] Top recommended movies for user id 72: [2025-06-30T22:24:08.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:24:08.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:24:08.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:24:08.592Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:24:08.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:24:08.592Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71517.310 ms) ====== [2025-06-30T22:24:08.592Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-30T22:24:08.592Z] GC before operation: completed in 572.504 ms, heap usage 395.053 MB -> 90.079 MB. [2025-06-30T22:24:20.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:24:31.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:24:43.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:24:55.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:25:01.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:25:09.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:25:15.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:25:22.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:25:23.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:25:23.718Z] The best model improves the baseline by 14.52%. [2025-06-30T22:25:24.579Z] Top recommended movies for user id 72: [2025-06-30T22:25:24.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:25:24.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:25:24.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:25:24.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:25:24.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:25:24.579Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (76397.142 ms) ====== [2025-06-30T22:25:24.579Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-30T22:25:25.384Z] GC before operation: completed in 612.235 ms, heap usage 276.502 MB -> 90.586 MB. [2025-06-30T22:25:37.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:25:49.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:26:00.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:26:10.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:26:16.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:26:23.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:26:30.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:26:37.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:26:38.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:26:38.010Z] The best model improves the baseline by 14.52%. [2025-06-30T22:26:38.826Z] Top recommended movies for user id 72: [2025-06-30T22:26:38.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:26:38.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:26:38.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:26:38.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:26:38.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:26:38.826Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (73447.777 ms) ====== [2025-06-30T22:26:38.826Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-30T22:26:39.635Z] GC before operation: completed in 535.318 ms, heap usage 137.059 MB -> 91.985 MB. [2025-06-30T22:26:49.973Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:27:00.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:27:12.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:27:23.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:27:30.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:27:37.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:27:43.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:27:50.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:27:51.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:27:51.206Z] The best model improves the baseline by 14.52%. [2025-06-30T22:27:52.021Z] Top recommended movies for user id 72: [2025-06-30T22:27:52.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:27:52.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:27:52.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:27:52.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:27:52.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:27:52.021Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (72474.355 ms) ====== [2025-06-30T22:27:52.021Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-30T22:27:52.021Z] GC before operation: completed in 497.542 ms, heap usage 385.183 MB -> 90.227 MB. [2025-06-30T22:28:02.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:28:14.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:28:25.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:28:35.704Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:28:41.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:28:48.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:28:54.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:29:00.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:29:00.904Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:29:00.904Z] The best model improves the baseline by 14.52%. [2025-06-30T22:29:01.752Z] Top recommended movies for user id 72: [2025-06-30T22:29:01.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:29:01.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:29:01.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:29:01.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:29:01.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:29:01.752Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (69544.700 ms) ====== [2025-06-30T22:29:01.752Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-30T22:29:02.606Z] GC before operation: completed in 535.484 ms, heap usage 303.036 MB -> 90.204 MB. [2025-06-30T22:29:12.967Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:29:23.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:29:35.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:29:46.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:29:53.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:29:59.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:30:05.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:30:11.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:30:13.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:30:13.558Z] The best model improves the baseline by 14.52%. [2025-06-30T22:30:13.558Z] Top recommended movies for user id 72: [2025-06-30T22:30:13.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:30:13.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:30:13.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:30:13.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:30:13.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:30:13.558Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (71519.916 ms) ====== [2025-06-30T22:30:13.558Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-30T22:30:14.389Z] GC before operation: completed in 585.481 ms, heap usage 428.050 MB -> 90.260 MB. [2025-06-30T22:30:26.755Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:30:36.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:30:48.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:30:58.724Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:31:04.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:31:10.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:31:17.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:31:23.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:31:25.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:31:25.405Z] The best model improves the baseline by 14.52%. [2025-06-30T22:31:25.405Z] Top recommended movies for user id 72: [2025-06-30T22:31:25.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:31:25.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:31:25.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:31:25.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:31:25.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:31:25.405Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (71372.121 ms) ====== [2025-06-30T22:31:25.405Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-30T22:31:26.255Z] GC before operation: completed in 692.205 ms, heap usage 376.038 MB -> 87.115 MB. [2025-06-30T22:31:38.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:31:49.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:32:01.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:32:11.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:32:17.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:32:23.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:32:30.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:32:37.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:32:38.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:32:38.429Z] The best model improves the baseline by 14.52%. [2025-06-30T22:32:39.247Z] Top recommended movies for user id 72: [2025-06-30T22:32:39.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:32:39.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:32:39.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:32:39.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:32:39.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:32:39.247Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (72448.750 ms) ====== [2025-06-30T22:32:39.247Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-30T22:32:39.247Z] GC before operation: completed in 493.331 ms, heap usage 410.425 MB -> 86.863 MB. [2025-06-30T22:32:51.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:33:00.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:33:12.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:33:22.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:33:29.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:33:34.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:33:41.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:33:48.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:33:48.368Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:33:48.368Z] The best model improves the baseline by 14.52%. [2025-06-30T22:33:49.192Z] Top recommended movies for user id 72: [2025-06-30T22:33:49.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:33:49.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:33:49.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:33:49.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:33:49.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:33:49.192Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (69911.876 ms) ====== [2025-06-30T22:33:49.192Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-30T22:33:50.089Z] GC before operation: completed in 507.538 ms, heap usage 303.521 MB -> 86.952 MB. [2025-06-30T22:34:00.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:34:10.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:34:21.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:34:31.549Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:34:37.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:34:44.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:34:51.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:34:57.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:34:58.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:34:58.708Z] The best model improves the baseline by 14.52%. [2025-06-30T22:34:59.532Z] Top recommended movies for user id 72: [2025-06-30T22:34:59.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:34:59.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:34:59.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:34:59.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:34:59.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:34:59.532Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (69610.146 ms) ====== [2025-06-30T22:34:59.532Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-30T22:35:00.348Z] GC before operation: completed in 533.372 ms, heap usage 301.217 MB -> 86.753 MB. [2025-06-30T22:35:10.598Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:35:20.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:35:31.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:35:41.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:35:48.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:35:53.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:36:01.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:36:06.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:36:07.769Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:36:08.691Z] The best model improves the baseline by 14.52%. [2025-06-30T22:36:09.540Z] Top recommended movies for user id 72: [2025-06-30T22:36:09.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:36:09.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:36:09.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:36:09.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:36:09.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:36:09.540Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (69286.241 ms) ====== [2025-06-30T22:36:09.540Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-30T22:36:09.540Z] GC before operation: completed in 590.106 ms, heap usage 356.364 MB -> 86.367 MB. [2025-06-30T22:36:19.965Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T22:36:30.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T22:36:41.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T22:36:50.138Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T22:36:54.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T22:37:00.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T22:37:06.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T22:37:11.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T22:37:12.381Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-30T22:37:12.381Z] The best model improves the baseline by 14.52%. [2025-06-30T22:37:13.206Z] Top recommended movies for user id 72: [2025-06-30T22:37:13.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-30T22:37:13.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-30T22:37:13.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-30T22:37:13.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-30T22:37:13.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-30T22:37:13.206Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (63014.580 ms) ====== [2025-06-30T22:37:17.905Z] ----------------------------------- [2025-06-30T22:37:17.905Z] renaissance-movie-lens_0_PASSED [2025-06-30T22:37:17.905Z] ----------------------------------- [2025-06-30T22:37:17.905Z] [2025-06-30T22:37:17.905Z] TEST TEARDOWN: [2025-06-30T22:37:17.905Z] Nothing to be done for teardown. [2025-06-30T22:37:17.905Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 22:37:17 2025 Epoch Time (ms): 1751323037533