[2025-12-03T23:34:45.136Z] Running test renaissance-movie-lens_0 ... [2025-12-03T23:34:45.136Z] =============================================== [2025-12-03T23:34:45.136Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 18:34:44 2025 Epoch Time (ms): 1764804884881 [2025-12-03T23:34:45.136Z] variation: NoOptions [2025-12-03T23:34:45.136Z] JVM_OPTIONS: [2025-12-03T23:34:45.136Z] { \ [2025-12-03T23:34:45.136Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T23:34:45.136Z] echo "Nothing to be done for setup."; \ [2025-12-03T23:34:45.136Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648041138274/renaissance-movie-lens_0"; \ [2025-12-03T23:34:45.136Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648041138274/renaissance-movie-lens_0"; \ [2025-12-03T23:34:45.136Z] echo ""; echo "TESTING:"; \ [2025-12-03T23:34:45.136Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648041138274/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T23:34:45.136Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648041138274/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T23:34:45.136Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T23:34:45.136Z] echo "Nothing to be done for teardown."; \ [2025-12-03T23:34:45.136Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17648041138274/TestTargetResult"; [2025-12-03T23:34:45.136Z] [2025-12-03T23:34:45.136Z] TEST SETUP: [2025-12-03T23:34:45.136Z] Nothing to be done for setup. [2025-12-03T23:34:45.136Z] [2025-12-03T23:34:45.136Z] TESTING: [2025-12-03T23:34:49.063Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-03T23:34:52.238Z] 18:34:51.574 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-03T23:34:53.009Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T23:34:53.364Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T23:34:53.364Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T23:34:53.364Z] GC before operation: completed in 97.898 ms, heap usage 253.875 MB -> 74.594 MB. [2025-12-03T23:34:57.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:34:59.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:00.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:02.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:03.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:04.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:05.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:06.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:06.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:06.656Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:06.656Z] Top recommended movies for user id 72: [2025-12-03T23:35:06.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:06.656Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:06.656Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:06.656Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:06.656Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:06.656Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13160.450 ms) ====== [2025-12-03T23:35:06.656Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T23:35:06.656Z] GC before operation: completed in 65.923 ms, heap usage 237.614 MB -> 86.933 MB. [2025-12-03T23:35:08.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:10.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:11.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:13.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:15.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:15.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:16.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:17.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:17.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:17.747Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:17.747Z] Top recommended movies for user id 72: [2025-12-03T23:35:17.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:17.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:17.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:17.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:17.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:17.747Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11076.589 ms) ====== [2025-12-03T23:35:17.747Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T23:35:17.747Z] GC before operation: completed in 69.743 ms, heap usage 408.917 MB -> 87.885 MB. [2025-12-03T23:35:19.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:20.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:22.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:24.415Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:25.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:25.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:27.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:27.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:27.960Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:27.960Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:27.960Z] Top recommended movies for user id 72: [2025-12-03T23:35:27.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:27.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:27.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:27.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:27.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:27.960Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10199.374 ms) ====== [2025-12-03T23:35:27.960Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T23:35:28.312Z] GC before operation: completed in 62.219 ms, heap usage 456.206 MB -> 88.628 MB. [2025-12-03T23:35:30.109Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:31.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:33.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:34.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:36.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:36.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:38.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:38.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:38.891Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:38.891Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:38.891Z] Top recommended movies for user id 72: [2025-12-03T23:35:38.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:38.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:38.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:38.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:38.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:38.891Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10845.803 ms) ====== [2025-12-03T23:35:38.891Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T23:35:38.891Z] GC before operation: completed in 56.188 ms, heap usage 190.879 MB -> 88.585 MB. [2025-12-03T23:35:46.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:46.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:46.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:46.175Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:46.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:47.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:48.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:49.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:49.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:49.586Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:49.586Z] Top recommended movies for user id 72: [2025-12-03T23:35:49.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:49.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:49.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:49.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:49.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:49.586Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10565.302 ms) ====== [2025-12-03T23:35:49.586Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T23:35:49.586Z] GC before operation: completed in 61.296 ms, heap usage 161.281 MB -> 88.505 MB. [2025-12-03T23:35:51.348Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:35:52.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:35:54.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:35:55.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:35:56.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:35:57.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:35:58.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:35:59.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:35:59.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:35:59.578Z] The best model improves the baseline by 14.52%. [2025-12-03T23:35:59.578Z] Top recommended movies for user id 72: [2025-12-03T23:35:59.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:35:59.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:35:59.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:35:59.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:35:59.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:35:59.578Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9806.521 ms) ====== [2025-12-03T23:35:59.578Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T23:35:59.578Z] GC before operation: completed in 64.334 ms, heap usage 382.879 MB -> 89.097 MB. [2025-12-03T23:36:01.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:02.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:04.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:06.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:06.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:07.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:08.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:09.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:09.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:09.683Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:09.683Z] Top recommended movies for user id 72: [2025-12-03T23:36:09.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:09.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:09.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:09.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:09.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:09.683Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10227.253 ms) ====== [2025-12-03T23:36:09.683Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T23:36:09.683Z] GC before operation: completed in 67.380 ms, heap usage 446.545 MB -> 89.144 MB. [2025-12-03T23:36:11.528Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:12.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:14.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:15.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:16.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:17.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:18.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:19.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:19.898Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:19.898Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:19.898Z] Top recommended movies for user id 72: [2025-12-03T23:36:19.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:19.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:19.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:19.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:19.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:19.898Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10106.272 ms) ====== [2025-12-03T23:36:19.898Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T23:36:19.898Z] GC before operation: completed in 83.288 ms, heap usage 308.228 MB -> 89.168 MB. [2025-12-03T23:36:21.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:22.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:24.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:25.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:26.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:27.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:28.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:29.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:29.369Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:29.369Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:29.718Z] Top recommended movies for user id 72: [2025-12-03T23:36:29.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:29.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:29.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:29.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:29.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:29.718Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9510.415 ms) ====== [2025-12-03T23:36:29.718Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T23:36:29.718Z] GC before operation: completed in 59.046 ms, heap usage 298.284 MB -> 89.026 MB. [2025-12-03T23:36:30.939Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:32.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:34.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:35.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:36.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:37.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:38.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:38.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:38.985Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:38.985Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:39.350Z] Top recommended movies for user id 72: [2025-12-03T23:36:39.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:39.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:39.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:39.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:39.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:39.350Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9571.934 ms) ====== [2025-12-03T23:36:39.350Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T23:36:39.350Z] GC before operation: completed in 59.389 ms, heap usage 486.363 MB -> 89.488 MB. [2025-12-03T23:36:40.601Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:42.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:43.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:45.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:46.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:47.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:48.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:49.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:49.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:49.350Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:49.711Z] Top recommended movies for user id 72: [2025-12-03T23:36:49.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:49.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:49.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:49.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:49.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:49.711Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10329.161 ms) ====== [2025-12-03T23:36:49.711Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T23:36:49.711Z] GC before operation: completed in 63.315 ms, heap usage 232.252 MB -> 88.807 MB. [2025-12-03T23:36:50.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:36:52.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:36:53.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:36:55.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:36:56.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:36:57.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:36:58.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:36:59.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:36:59.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:36:59.238Z] The best model improves the baseline by 14.52%. [2025-12-03T23:36:59.593Z] Top recommended movies for user id 72: [2025-12-03T23:36:59.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:36:59.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:36:59.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:36:59.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:36:59.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:36:59.593Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9843.385 ms) ====== [2025-12-03T23:36:59.593Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T23:36:59.593Z] GC before operation: completed in 58.119 ms, heap usage 119.553 MB -> 88.915 MB. [2025-12-03T23:37:00.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:02.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:03.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:05.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:05.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:07.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:08.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:08.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:09.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:37:09.128Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:09.128Z] Top recommended movies for user id 72: [2025-12-03T23:37:09.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:09.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:09.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:09.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:09.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:09.128Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9598.391 ms) ====== [2025-12-03T23:37:09.128Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T23:37:09.128Z] GC before operation: completed in 68.767 ms, heap usage 199.649 MB -> 89.117 MB. [2025-12-03T23:37:10.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:12.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:13.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:15.743Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:16.506Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:17.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:18.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:18.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:19.206Z] 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. [2025-12-03T23:37:19.206Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:19.206Z] Top recommended movies for user id 72: [2025-12-03T23:37:19.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:19.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:19.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:19.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:19.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:19.206Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9976.524 ms) ====== [2025-12-03T23:37:19.206Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T23:37:19.206Z] GC before operation: completed in 70.851 ms, heap usage 357.331 MB -> 89.097 MB. [2025-12-03T23:37:20.982Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:22.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:23.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:25.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:26.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:27.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:28.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:29.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:29.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:37:29.238Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:29.238Z] Top recommended movies for user id 72: [2025-12-03T23:37:29.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:29.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:29.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:29.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:29.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:29.238Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10054.090 ms) ====== [2025-12-03T23:37:29.238Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T23:37:29.238Z] GC before operation: completed in 57.657 ms, heap usage 458.900 MB -> 89.512 MB. [2025-12-03T23:37:30.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:32.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:33.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:35.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:36.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:37.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:38.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:39.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:39.263Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:37:39.263Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:39.263Z] Top recommended movies for user id 72: [2025-12-03T23:37:39.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:39.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:39.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:39.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:39.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:39.263Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9884.778 ms) ====== [2025-12-03T23:37:39.263Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T23:37:39.263Z] GC before operation: completed in 59.299 ms, heap usage 382.463 MB -> 89.264 MB. [2025-12-03T23:37:41.039Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:42.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:44.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:45.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:46.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:47.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:48.312Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:49.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:49.062Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:37:49.062Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:49.062Z] Top recommended movies for user id 72: [2025-12-03T23:37:49.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:49.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:49.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:49.062Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:49.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:49.062Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9878.023 ms) ====== [2025-12-03T23:37:49.062Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T23:37:49.413Z] GC before operation: completed in 85.862 ms, heap usage 196.467 MB -> 89.100 MB. [2025-12-03T23:37:51.204Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:37:52.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:37:53.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:37:55.483Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:37:56.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:37:57.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:37:58.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:37:59.487Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:37:59.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:37:59.487Z] The best model improves the baseline by 14.52%. [2025-12-03T23:37:59.487Z] Top recommended movies for user id 72: [2025-12-03T23:37:59.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:37:59.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:37:59.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:37:59.487Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:37:59.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:37:59.487Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10257.813 ms) ====== [2025-12-03T23:37:59.487Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T23:37:59.487Z] GC before operation: completed in 59.227 ms, heap usage 326.893 MB -> 89.096 MB. [2025-12-03T23:38:01.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:38:03.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:38:04.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:38:06.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:38:06.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:38:08.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:38:08.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:38:09.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:38:10.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:38:10.075Z] The best model improves the baseline by 14.52%. [2025-12-03T23:38:10.075Z] Top recommended movies for user id 72: [2025-12-03T23:38:10.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:38:10.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:38:10.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:38:10.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:38:10.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:38:10.075Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10474.782 ms) ====== [2025-12-03T23:38:10.075Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T23:38:10.075Z] GC before operation: completed in 61.001 ms, heap usage 296.066 MB -> 89.214 MB. [2025-12-03T23:38:11.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:38:13.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:38:14.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:38:16.561Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:38:17.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:38:18.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:38:19.315Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:38:20.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:38:20.426Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-03T23:38:20.426Z] The best model improves the baseline by 14.52%. [2025-12-03T23:38:20.426Z] Top recommended movies for user id 72: [2025-12-03T23:38:20.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-03T23:38:20.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-03T23:38:20.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-03T23:38:20.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-03T23:38:20.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-03T23:38:20.426Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10250.557 ms) ====== [2025-12-03T23:38:20.779Z] ----------------------------------- [2025-12-03T23:38:20.779Z] renaissance-movie-lens_0_PASSED [2025-12-03T23:38:20.779Z] ----------------------------------- [2025-12-03T23:38:20.779Z] [2025-12-03T23:38:20.779Z] TEST TEARDOWN: [2025-12-03T23:38:20.779Z] Nothing to be done for teardown. [2025-12-03T23:38:20.779Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 18:38:20 2025 Epoch Time (ms): 1764805100403