[2025-08-14T14:08:38.435Z] Running test renaissance-movie-lens_0 ... [2025-08-14T14:08:38.435Z] =============================================== [2025-08-14T14:08:38.742Z] renaissance-movie-lens_0 Start Time: Thu Aug 14 14:08:38 2025 Epoch Time (ms): 1755180518486 [2025-08-14T14:08:38.742Z] variation: NoOptions [2025-08-14T14:08:39.062Z] JVM_OPTIONS: [2025-08-14T14:08:39.062Z] { \ [2025-08-14T14:08:39.062Z] echo ""; echo "TEST SETUP:"; \ [2025-08-14T14:08:39.062Z] echo "Nothing to be done for setup."; \ [2025-08-14T14:08:39.062Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17551788759177\\renaissance-movie-lens_0"; \ [2025-08-14T14:08:39.062Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17551788759177\\renaissance-movie-lens_0"; \ [2025-08-14T14:08:39.062Z] echo ""; echo "TESTING:"; \ [2025-08-14T14:08:39.062Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17551788759177\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-08-14T14:08:39.062Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17551788759177\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-14T14:08:39.062Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-14T14:08:39.062Z] echo "Nothing to be done for teardown."; \ [2025-08-14T14:08:39.063Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17551788759177\\TestTargetResult"; [2025-08-14T14:08:39.063Z] [2025-08-14T14:08:39.063Z] TEST SETUP: [2025-08-14T14:08:39.063Z] Nothing to be done for setup. [2025-08-14T14:08:39.063Z] [2025-08-14T14:08:39.063Z] TESTING: [2025-08-14T14:08:54.626Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-14T14:09:00.462Z] 14:08:59.579 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-14T14:09:02.090Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-14T14:09:02.862Z] Training: 60056, validation: 20285, test: 19854 [2025-08-14T14:09:02.862Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-14T14:09:02.863Z] GC before operation: completed in 121.500 ms, heap usage 432.500 MB -> 76.148 MB. [2025-08-14T14:09:15.919Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:09:24.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:09:33.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:09:42.124Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:09:46.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:09:51.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:09:57.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:10:00.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:10:01.660Z] 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. [2025-08-14T14:10:01.660Z] The best model improves the baseline by 14.52%. [2025-08-14T14:10:01.990Z] Top recommended movies for user id 72: [2025-08-14T14:10:01.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:10:01.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:10:01.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:10:01.990Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:10:01.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:10:01.990Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59258.521 ms) ====== [2025-08-14T14:10:01.990Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-14T14:10:01.990Z] GC before operation: completed in 117.434 ms, heap usage 369.565 MB -> 87.041 MB. [2025-08-14T14:10:10.697Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:10:17.793Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:10:26.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:10:33.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:10:37.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:10:41.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:10:46.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:10:51.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:10:51.160Z] 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. [2025-08-14T14:10:51.160Z] The best model improves the baseline by 14.52%. [2025-08-14T14:10:51.552Z] Top recommended movies for user id 72: [2025-08-14T14:10:51.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:10:51.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:10:51.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:10:51.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:10:51.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:10:51.552Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49381.848 ms) ====== [2025-08-14T14:10:51.552Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-14T14:10:51.874Z] GC before operation: completed in 124.632 ms, heap usage 458.270 MB -> 94.941 MB. [2025-08-14T14:10:58.982Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:11:07.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:11:14.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:11:21.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:11:25.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:11:29.236Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:11:33.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:11:38.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:11:38.490Z] 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. [2025-08-14T14:11:38.490Z] The best model improves the baseline by 14.52%. [2025-08-14T14:11:38.816Z] Top recommended movies for user id 72: [2025-08-14T14:11:38.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:11:38.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:11:38.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:11:38.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:11:38.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:11:38.816Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47170.510 ms) ====== [2025-08-14T14:11:38.816Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-14T14:11:38.816Z] GC before operation: completed in 124.089 ms, heap usage 755.950 MB -> 93.400 MB. [2025-08-14T14:11:47.635Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:11:53.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:12:02.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:12:09.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:12:13.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:12:18.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:12:23.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:12:26.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:12:27.400Z] 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. [2025-08-14T14:12:27.400Z] The best model improves the baseline by 14.52%. [2025-08-14T14:12:27.400Z] Top recommended movies for user id 72: [2025-08-14T14:12:27.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:12:27.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:12:27.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:12:27.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:12:27.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:12:27.400Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (48529.802 ms) ====== [2025-08-14T14:12:27.400Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-14T14:12:27.729Z] GC before operation: completed in 107.655 ms, heap usage 119.077 MB -> 89.699 MB. [2025-08-14T14:12:34.798Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:12:43.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:12:50.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:12:57.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:13:02.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:13:06.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:13:10.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:13:15.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:13:15.323Z] 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. [2025-08-14T14:13:15.323Z] The best model improves the baseline by 14.52%. [2025-08-14T14:13:15.652Z] Top recommended movies for user id 72: [2025-08-14T14:13:15.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:13:15.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:13:15.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:13:15.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:13:15.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:13:15.652Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48104.407 ms) ====== [2025-08-14T14:13:15.652Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-14T14:13:15.652Z] GC before operation: completed in 110.878 ms, heap usage 178.385 MB -> 89.758 MB. [2025-08-14T14:13:24.356Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:13:30.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:13:38.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:13:45.884Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:13:49.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:13:54.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:13:58.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:14:03.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:14:03.383Z] 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. [2025-08-14T14:14:03.383Z] The best model improves the baseline by 14.52%. [2025-08-14T14:14:03.383Z] Top recommended movies for user id 72: [2025-08-14T14:14:03.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:14:03.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:14:03.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:14:03.383Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:14:03.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:14:03.383Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (47657.931 ms) ====== [2025-08-14T14:14:03.383Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-14T14:14:03.714Z] GC before operation: completed in 105.764 ms, heap usage 117.146 MB -> 90.027 MB. [2025-08-14T14:14:10.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:14:17.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:14:26.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:14:33.698Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:14:37.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:14:41.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:14:45.709Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:14:50.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:14:50.427Z] 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. [2025-08-14T14:14:50.427Z] The best model improves the baseline by 14.52%. [2025-08-14T14:14:50.750Z] Top recommended movies for user id 72: [2025-08-14T14:14:50.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:14:50.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:14:50.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:14:50.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:14:50.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:14:50.750Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46934.879 ms) ====== [2025-08-14T14:14:50.750Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-14T14:14:50.750Z] GC before operation: completed in 112.836 ms, heap usage 118.637 MB -> 89.932 MB. [2025-08-14T14:14:57.832Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:15:04.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:15:13.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:15:19.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:15:23.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:15:27.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:15:32.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:15:35.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:15:36.679Z] 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. [2025-08-14T14:15:36.679Z] The best model improves the baseline by 14.52%. [2025-08-14T14:15:36.679Z] Top recommended movies for user id 72: [2025-08-14T14:15:36.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:15:36.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:15:36.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:15:36.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:15:36.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:15:36.679Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46139.440 ms) ====== [2025-08-14T14:15:36.679Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-14T14:15:37.002Z] GC before operation: completed in 106.357 ms, heap usage 234.888 MB -> 90.247 MB. [2025-08-14T14:15:44.140Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:15:51.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:15:59.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:16:05.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:16:10.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:16:13.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:16:18.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:16:22.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:16:22.599Z] 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. [2025-08-14T14:16:22.599Z] The best model improves the baseline by 14.52%. [2025-08-14T14:16:22.920Z] Top recommended movies for user id 72: [2025-08-14T14:16:22.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:16:22.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:16:22.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:16:22.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:16:22.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:16:22.920Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45986.315 ms) ====== [2025-08-14T14:16:22.920Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-14T14:16:22.920Z] GC before operation: completed in 107.776 ms, heap usage 554.264 MB -> 93.850 MB. [2025-08-14T14:16:30.023Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:16:37.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:16:45.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:16:52.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:16:56.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:17:00.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:17:04.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:17:08.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:17:08.835Z] 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. [2025-08-14T14:17:08.835Z] The best model improves the baseline by 14.52%. [2025-08-14T14:17:09.168Z] Top recommended movies for user id 72: [2025-08-14T14:17:09.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:17:09.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:17:09.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:17:09.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:17:09.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:17:09.168Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46260.537 ms) ====== [2025-08-14T14:17:09.168Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-14T14:17:09.168Z] GC before operation: completed in 101.895 ms, heap usage 121.656 MB -> 90.239 MB. [2025-08-14T14:17:16.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:17:23.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:17:32.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:17:37.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:17:42.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:17:46.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:17:50.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:17:54.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:17:54.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-14T14:17:54.738Z] The best model improves the baseline by 14.52%. [2025-08-14T14:17:54.738Z] Top recommended movies for user id 72: [2025-08-14T14:17:54.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:17:54.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:17:54.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:17:54.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:17:54.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:17:54.738Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45477.466 ms) ====== [2025-08-14T14:17:54.738Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-14T14:17:55.057Z] GC before operation: completed in 112.436 ms, heap usage 814.214 MB -> 94.173 MB. [2025-08-14T14:18:02.135Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:18:09.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:18:16.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:18:23.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:18:27.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:18:30.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:18:35.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:18:39.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:18:39.050Z] 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. [2025-08-14T14:18:39.050Z] The best model improves the baseline by 14.52%. [2025-08-14T14:18:39.385Z] Top recommended movies for user id 72: [2025-08-14T14:18:39.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:18:39.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:18:39.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:18:39.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:18:39.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:18:39.385Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (44508.600 ms) ====== [2025-08-14T14:18:39.385Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-14T14:18:39.694Z] GC before operation: completed in 111.191 ms, heap usage 714.031 MB -> 94.162 MB. [2025-08-14T14:18:46.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:18:53.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:19:02.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:19:08.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:19:12.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:19:16.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:19:21.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:19:24.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:19:25.663Z] 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. [2025-08-14T14:19:25.663Z] The best model improves the baseline by 14.52%. [2025-08-14T14:19:25.987Z] Top recommended movies for user id 72: [2025-08-14T14:19:25.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:19:25.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:19:25.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:19:25.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:19:25.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:19:25.987Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46363.213 ms) ====== [2025-08-14T14:19:25.987Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-14T14:19:25.987Z] GC before operation: completed in 101.091 ms, heap usage 242.984 MB -> 90.400 MB. [2025-08-14T14:19:33.082Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:19:40.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:19:48.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:19:56.016Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:19:58.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:20:03.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:20:08.123Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:20:11.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:20:12.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-14T14:20:12.106Z] The best model improves the baseline by 14.52%. [2025-08-14T14:20:12.436Z] Top recommended movies for user id 72: [2025-08-14T14:20:12.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:20:12.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:20:12.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:20:12.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:20:12.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:20:12.436Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46382.863 ms) ====== [2025-08-14T14:20:12.436Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-14T14:20:12.436Z] GC before operation: completed in 105.082 ms, heap usage 306.207 MB -> 90.386 MB. [2025-08-14T14:20:19.516Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:20:26.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:20:35.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:20:41.259Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:20:44.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:20:49.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:20:54.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:20:57.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:20:57.815Z] 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. [2025-08-14T14:20:58.157Z] The best model improves the baseline by 14.52%. [2025-08-14T14:20:58.157Z] Top recommended movies for user id 72: [2025-08-14T14:20:58.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:20:58.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:20:58.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:20:58.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:20:58.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:20:58.157Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45726.403 ms) ====== [2025-08-14T14:20:58.157Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-14T14:20:58.493Z] GC before operation: completed in 112.049 ms, heap usage 308.181 MB -> 90.607 MB. [2025-08-14T14:21:05.589Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:21:12.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:21:21.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:21:28.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:21:32.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:21:35.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:21:40.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:21:45.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:21:45.195Z] 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. [2025-08-14T14:21:45.195Z] The best model improves the baseline by 14.52%. [2025-08-14T14:21:45.195Z] Top recommended movies for user id 72: [2025-08-14T14:21:45.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:21:45.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:21:45.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:21:45.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:21:45.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:21:45.195Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46932.026 ms) ====== [2025-08-14T14:21:45.195Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-14T14:21:45.520Z] GC before operation: completed in 104.064 ms, heap usage 211.313 MB -> 90.319 MB. [2025-08-14T14:21:52.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:21:59.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:22:08.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:22:14.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:22:18.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:22:22.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:22:27.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:22:30.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:22:30.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-14T14:22:30.774Z] The best model improves the baseline by 14.52%. [2025-08-14T14:22:31.095Z] Top recommended movies for user id 72: [2025-08-14T14:22:31.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:22:31.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:22:31.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:22:31.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:22:31.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:22:31.095Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45477.764 ms) ====== [2025-08-14T14:22:31.095Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-14T14:22:31.095Z] GC before operation: completed in 111.713 ms, heap usage 270.529 MB -> 90.544 MB. [2025-08-14T14:22:38.190Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:22:45.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:22:54.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:22:59.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:23:04.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:23:09.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:23:12.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:23:17.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:23:17.336Z] 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. [2025-08-14T14:23:17.336Z] The best model improves the baseline by 14.52%. [2025-08-14T14:23:17.662Z] Top recommended movies for user id 72: [2025-08-14T14:23:17.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:23:17.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:23:17.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:23:17.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:23:17.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:23:17.662Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46698.406 ms) ====== [2025-08-14T14:23:17.662Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-14T14:23:17.662Z] GC before operation: completed in 111.783 ms, heap usage 366.586 MB -> 90.476 MB. [2025-08-14T14:23:24.757Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:23:31.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:23:40.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:23:47.644Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:23:51.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:23:54.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:23:59.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:24:03.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:24:03.928Z] 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. [2025-08-14T14:24:03.928Z] The best model improves the baseline by 14.52%. [2025-08-14T14:24:04.251Z] Top recommended movies for user id 72: [2025-08-14T14:24:04.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:24:04.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:24:04.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:24:04.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:24:04.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:24:04.251Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46374.052 ms) ====== [2025-08-14T14:24:04.251Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-14T14:24:04.251Z] GC before operation: completed in 111.140 ms, heap usage 119.766 MB -> 90.257 MB. [2025-08-14T14:24:11.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-14T14:24:18.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-14T14:24:27.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-14T14:24:32.909Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-14T14:24:37.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-14T14:24:41.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-14T14:24:45.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-14T14:24:49.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-14T14:24:49.824Z] 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. [2025-08-14T14:24:49.824Z] The best model improves the baseline by 14.52%. [2025-08-14T14:24:49.824Z] Top recommended movies for user id 72: [2025-08-14T14:24:49.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-14T14:24:49.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-14T14:24:49.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-14T14:24:49.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-14T14:24:49.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-14T14:24:49.824Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45687.433 ms) ====== [2025-08-14T14:24:50.507Z] ----------------------------------- [2025-08-14T14:24:50.507Z] renaissance-movie-lens_0_PASSED [2025-08-14T14:24:50.507Z] ----------------------------------- [2025-08-14T14:24:51.186Z] [2025-08-14T14:24:51.186Z] TEST TEARDOWN: [2025-08-14T14:24:51.186Z] Nothing to be done for teardown. [2025-08-14T14:24:51.186Z] renaissance-movie-lens_0 Finish Time: Thu Aug 14 14:24:51 2025 Epoch Time (ms): 1755181491066